Singh, A., & Rani, R. (2021). Chronic Kidney Disease Prediction Using Machine Learning. Journal of Medical Systems, 45(3), 1-10.
Haque, M., & Rahman, M. (2020). A Study on the Early Detection of Chronic Kidney Disease. Health Information Science and Systems, 8(1), 1-8.
Sharma, P., & Gupta, R. (2022). Machine Learning Techniques for Chronic Kidney Disease Detection. Journal of Healthcare Engineering, 2022, 1-9.
Tambi, V. K., & Singh, N. Evaluation of Web Services using Various Metrics for Mobile Environments and Multimedia Conferences based on SOAP and REST Principles.
Kumar, T. V. (2024). A Comparison of SQL and NO-SQL Database Management Systems for Unstructured Data.
Kumar, T. V. (2024). A Comprehensive Empirical Study Determining Practitioners’ Views on Docker Development Difficulties: Stack Overflow Analysis.
Kumar, T. V. (2024). Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative.
Kumar, T. V. (2024). A New Framework and Performance Assessment Method for Distributed Deep Neural NetworkBased Middleware for Cyberattack Detection in the Smart IoT Ecosystem.
Sharma, S., & Dutta, N. (2024). Examining ChatGPT’s and Other Models’ Potential to Improve the Security Environment using Generative AI for Cybersecurity.
Tambi, V. K., & Singh, N. (2019). Development of a Project Risk Management System based on Industry 4.0 Technology and its Practical Implications. Development, 7(11).
Tambi, V. K., & Singh, N. Blockchain Technology and Cybersecurity Utilisation in New Smart City Applications.
Arora, P., & Bhardwaj, S. Mitigating the Security Issues and Challenges in the Internet of Things (IOT) Framework for Enhanced Security.
Arora, P., & Bhardwaj, S. (2017). A Very Safe and Effective Way to Protect Privacy in Cloud Data Storage Configurations.
Arora, P., & Bhardwaj, S. (2019). The Suitability of Different Cybersecurity Services to Stop Smart Home Attacks.
Arora, P., & Bhardwaj, S. (2020). Research on Cybersecurity Issues and Solutions for Intelligent Transportation Systems.
Arora, P., & Bhardwaj, S. (2021). Methods for Threat and Risk Assessment and Mitigation to Improve Security in the Automotive Sector. Methods, 8(2).
Arora, P., & Bhardwaj, S. Research on Various Security Techniques for Data Protection in Cloud Computing with Cryptography Structures.
Arora, P., & Bhardwaj, S. Examining Cloud Computing Data Confidentiality Techniques to Achieve Higher Security in Cloud Storage.
Arora, P., & Bhardwaj, S. Designs for Secure and Reliable Intrusion Detection Systems using Artificial Intelligence Techniques.
Shreyas, S. K., Katgar, S., Ramaji, M., Goudar, Y., & Srikanteswara, R. (2017). Efficient Food Storage Using Sensors, Android and IoT. Student BE, Department of CS&E Assistant Professor, Department of CS&E, ramya. srikanteswara@ nmit. ac. in NitteMeenakshi Institute Of Technology, Bengaluru.
Srikanteswara, R., Reddy, M. C., Himateja, M., & Kumar, K. M. (2022). Object detection and voice guidance for the visually impaired using a smart app. In Recent Advances in Artificial Intelligence and Data Engineering: Select Proceedings of AIDE 2020 (pp. 133-144). Springer Singapore.
Srikanteswara, R., Hegde, A., & Hegde, P. T. (2023, October). Emergency Vehicle Recognition Via Automated Smart Traffic Manager. In 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) (pp. 1-6). IEEE.
Babu, P., Habelalmateen, M. I., Srikanteswara, R., Reddy, R. A., & Purushotham, N. (2024, May). Wafer Surface Semiconductor Defect Classification Using Convolution Neural Network Based Improved Faster R-CNN. In 2024 Second International Conference on Data Science and Information System (ICDSIS) (pp. 1-4). IEEE.
Srikanteswara, R., & Ramachandra, A. C. (2024). ACM technique for recognition of region of interest using contour and colour features. Multimedia Tools and Applications, 1-13.
Srikanteswara, R., Rahul, C. J., Sainath, G., Jaswanth, M. H., & Sharma, V. N. (2022). IoT Based Automatic Medicine Reminder. In Expert Clouds and Applications: Proceedings of ICOECA 2022 (pp. 157-171). Singapore: Springer Nature Singapore.
Bhat, S. (2015). Design and Function of a Gas Turbine Range Extender for Hybrid Vehicles.
Bhat, S. Automobile Cabin Pre-Conditioning Method Driven by Environmental Conditions with Multi-Satisfaction Goals.
Bhat, S. (2015). Deep Reinforcement Learning for Energy-Saving Thermal Comfort Management in Intelligent Structures.
Bhat, S. (2016). Improving Data Centre Energy Efficiency with End-To-End Cooling Modelling and Optimisation.
Bhat, S. (2020). Enhancing Data Centre Energy Efficiency with Modelling and Optimisation of End-To-End Cooling.
Bhat, S. (2024). Building Thermal Comforts with Various HVAC Systems and Optimum Conditions.
Bhat, S (2023). Discovering the Attractiveness of Hydrogen-Fuelled Gas Turbines in Future Energy Systems.
Bhat, S. (2015). Technology for Chemical Industry Mixing and Processing. Technology, 2(2).
Bhat, S. (2018). The Impact of Data Centre Cooling Technology on Turbo-Mode Efficiency.
Bhat, S. (2019). Data Centre Cooling Technology’s Effect on Turbo-Mode Efficiency.
Sharma, S., & Dutta, N. REST Web Service Description Assessment for Hypermedia-Focused Graph-based Service Discovery.
Sharma, S., & Dutta, N. (2017). Development of Attractive Protection through Cyberattack Moderation and Traffic Impact Analysis for Connected Automated Vehicles. Development, 4(2).
Sharma, S., & Dutta, N. (2017). Classification and Feature Extraction in Artificial Intelligence-based Threat Detection using Analysing Methods.
Sharma, S., & Dutta, N. (2018). Development of New Smart City Applications using Blockchain Technology and Cybersecurity Utilisation. Development, 7(11).
Sharma, S., & Dutta, N. (2016). Analysing Anomaly Process Detection using Classification Methods and Negative Selection Algorithms.
Sharma, S., & Dutta, N. (2015). Evaluation of REST Web Service Descriptions for Graph-based Service Discovery with a Hypermedia Focus. Evaluation, 2(5).
Sharma, S., & Dutta, N. (2015). Cybersecurity Vulnerability Management using Novel Artificial Intelligence and Machine Learning Techniques.
Sharma, S., & Dutta, N. (2015). Distributed DNN-based Middleware for Cyberattack Detection in the Smart IOT Ecosystem: A Novel Framework and Performance Evaluation Technique.
Sharma, S., & Dutta, N. (2024). Examining ChatGPT’s and Other Models’ Potential to Improve the Security Environment using Generative AI for Cybersecurity.
Tejani, A. (2021). Integrating energy-efficient HVAC systems iTejani, A., Yadav, J., Toshniwal, V., & Gajjar, H. (2022). Achieving net-zero energy buildings: The strategic role of HVAC systems in design and implementation. ESP Journal of Engineering & Technology Advancements, 2(1), 39-55.
Tejani, A. (2021). Assessing the efficiency of heat pumps in cold climates: A study focused on performance metrics. ESP Journal of Engineering & Technology Advancements, 1(1), 47-56.
Tejani, A., Yadav, J., Toshniwal, V., & Kandelwal, R. (2021). Detailed cost-benefit analysis of geothermal HVAC systems for residential applications: Assessing economic and performance factors. ESP Journal of Engineering & Technology Advancements, 1(2), 101-115.
Kunchala, M. R. (2024). Asset Capitalization using SAP S/4HANA in Field Inventory Management (FIM). International Journal of Science and Research (IJSR), 13(5), 1429-1432.
Kunchala, M. R. Transforming Financial Data into Strategic Insights using SAP Business Technology Platform (BTP).
Kunchala, M. R. SAP Finance and Management Accounting with Integration of AI and ML. Reddy, M. S., Sarisa, M., Konkimalla, S., Bauskar, S. R., Gollangi, H. K., Galla, E. P., & Rajaram, S. K. (2021). Predicting tomorrow’s Ailments: How AI/ML Is Transforming Disease Forecasting. ESP Journal of Engineering & Technology Advancements, 1(2), 188-200.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Echoes in Pixels: The intersection of Image Processing and Sound detection through the lens of AI and Ml. International Journal of Developnto historical buildings: Challenges and solutions for balancing preservation and modernization. ESP Journal of Engineering & Technology Advancements, 1(1), 83-97.
ment Research, 10(08), 39735-39743.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Exploring AI Algorithms for Cancer Classification and Prediction Using Electronic Health Records. Journal of Artificial Intelligence and Big Data, 1(1), 65-74.
Boddapati, V. N., Sarisa, M., Reddy, M. S., Sunkara, J. R., Rajaram, S. K., Bauskar, S. R., & Polimetla, K. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. Available at SSRN 4977121.
Reddy, M., Galla, E. P., Bauskar, S. R., Madhavram, C., & Sunkara, J. R. (2021). Analysis of Big Data for the Financial Sector Using Machine Learning Perspective on Stock Prices. Available at SSRN 5059521.
Bauskar, S. (2020). View of Unveiling the Hidden Patterns AI-Driven Innovations in Image Processing and Acoustic Signal Detection. Journal of Recent Trends in Computer Science and Engineering, 8(1), 10-70589.
Madhavram, C., Konkimalla, S., Rajaram, S. K., & Gollangi, H. K. (2022). AI/ML-Powered Phishing Detection: Building an Impenetrable Email Security System. Available at SSRN 5029460.
Polamarasetti, A. (2024, November). Research developments, trends and challenges on the rise of machine learning for detection and classification of malware. In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-5). IEEE.
Polamarasetti, A. (2024, November). Machine learning techniques analysis to Efficient resource provisioning for elastic cloud services. In 2024 International Conference on
Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-6). IEEE.
Polamarasetti, A. (2024, November). Role of Artificial Intelligence and Machine Learning to Enhancing Cloud Security. In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-6). IEEE.
Vadisetty, R., & Polamarasetti, A. (2024, November). Quantum Computing For Cryptographic Security With Artificial Intelligence. In 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 252-260). IEEE.
Vadisetty, R., & Polamarasetti, A. (2024, November). Generative AI for Cyber Threat Simulation and Defense. In 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 272-279). IEEE.
Mishra, R., Saurabh, S., Dwivedi, S., & Singh, V. (2025). Influential Social Media Marketing by Integrating the Strategic Implementation. In Data Analytics and Influencer Marketing for Cultivating Brand Evangelism and Affinity (pp. 411-430). IGI Global Scientific Publishing.
Sharma, A., Aggarwal, M., Singh, V., Seth, K., & Thakur, S. (2001). Post-Covid 19 essential skills: A study of tourism and hospitality graduates. Operational transformations in tourism and hospitality, 157.
Sharma, P., & Gupta, R. (2022). Machine Learning Techniques for Chronic Kidney Disease Detection. Journal of Healthcare Engineering, 2022, 1-9.
Tambi, V. K., & Singh, N. Evaluation of Web Services using Various Metrics for Mobile Environments and Multimedia Conferences based on SOAP and REST Principles.
Kumar, T. V. (2024). A Comparison of SQL and NO-SQL Database Management Systems for Unstructured Data.
Kumar, T. V. (2024). A Comprehensive Empirical Study Determining Practitioners’ Views on Docker Development Difficulties: Stack Overflow Analysis.
Kumar, T. V. (2024). Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative.
Kumar, T. V. (2024). A New Framework and Performance Assessment Method for Distributed Deep Neural NetworkBased Middleware for Cyberattack Detection in the Smart IoT Ecosystem.
Sharma, S., & Dutta, N. (2024). Examining ChatGPT’s and Other Models’ Potential to Improve the Security Environment using Generative AI for Cybersecurity.
Tambi, V. K., & Singh, N. (2019). Development of a Project Risk Management System based on Industry 4.0 Technology and its Practical Implications. Development, 7(11).
Tambi, V. K., & Singh, N. Blockchain Technology and Cybersecurity Utilisation in New Smart City Applications.
Arora, P., & Bhardwaj, S. Mitigating the Security Issues and Challenges in the Internet of Things (IOT) Framework for Enhanced Security.
Arora, P., & Bhardwaj, S. (2017). A Very Safe and Effective Way to Protect Privacy in Cloud Data Storage Configurations.
Arora, P., & Bhardwaj, S. (2019). The Suitability of Different Cybersecurity Services to Stop Smart Home Attacks.
Arora, P., & Bhardwaj, S. (2020). Research on Cybersecurity Issues and Solutions for Intelligent Transportation Systems.
Arora, P., & Bhardwaj, S. (2021). Methods for Threat and Risk Assessment and Mitigation to Improve Security in the Automotive Sector. Methods, 8(2).
Arora, P., & Bhardwaj, S. Research on Various Security Techniques for Data Protection in Cloud Computing with Cryptography Structures.
Arora, P., & Bhardwaj, S. Examining Cloud Computing Data Confidentiality Techniques to Achieve Higher Security in Cloud Storage.
Arora, P., & Bhardwaj, S. Designs for Secure and Reliable Intrusion Detection Systems using Artificial Intelligence Techniques.
Shreyas, S. K., Katgar, S., Ramaji, M., Goudar, Y., & Srikanteswara, R. (2017). Efficient Food Storage Using Sensors, Android and IoT. Student BE, Department of CS&E Assistant Professor, Department of CS&E, ramya. srikanteswara@ nmit. ac. in NitteMeenakshi Institute Of Technology, Bengaluru.
Srikanteswara, R., Reddy, M. C., Himateja, M., & Kumar, K. M. (2022). Object detection and voice guidance for the visually impaired using a smart app. In Recent Advances in Artificial Intelligence and Data Engineering: Select Proceedings of AIDE 2020 (pp. 133-144). Springer Singapore.
Srikanteswara, R., Hegde, A., & Hegde, P. T. (2023, October). Emergency Vehicle Recognition Via Automated Smart Traffic Manager. In 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) (pp. 1-6). IEEE.
Babu, P., Habelalmateen, M. I., Srikanteswara, R., Reddy, R. A., & Purushotham, N. (2024, May). Wafer Surface Semiconductor Defect Classification Using Convolution Neural Network Based Improved Faster R-CNN. In 2024 Second International Conference on Data Science and Information System (ICDSIS) (pp. 1-4). IEEE.
Srikanteswara, R., & Ramachandra, A. C. (2024). ACM technique for recognition of region of interest using contour and colour features. Multimedia Tools and Applications, 1-13.
Srikanteswara, R., Rahul, C. J., Sainath, G., Jaswanth, M. H., & Sharma, V. N. (2022). IoT Based Automatic Medicine Reminder. In Expert Clouds and Applications: Proceedings of ICOECA 2022 (pp. 157-171). Singapore: Springer Nature Singapore.
Bhat, S. (2015). Design and Function of a Gas Turbine Range Extender for Hybrid Vehicles.
Bhat, S. Automobile Cabin Pre-Conditioning Method Driven by Environmental Conditions with Multi-Satisfaction Goals.
Bhat, S. (2015). Deep Reinforcement Learning for Energy-Saving Thermal Comfort Management in Intelligent Structures.
Bhat, S. (2016). Improving Data Centre Energy Efficiency with End-To-End Cooling Modelling and Optimisation.
Bhat, S. (2020). Enhancing Data Centre Energy Efficiency with Modelling and Optimisation of End-To-End Cooling.
Bhat, S. (2024). Building Thermal Comforts with Various HVAC Systems and Optimum Conditions.
Bhat, S (2023). Discovering the Attractiveness of Hydrogen-Fuelled Gas Turbines in Future Energy Systems.
Bhat, S. (2015). Technology for Chemical Industry Mixing and Processing. Technology, 2(2).
Bhat, S. (2018). The Impact of Data Centre Cooling Technology on Turbo-Mode Efficiency.
Bhat, S. (2019). Data Centre Cooling Technology’s Effect on Turbo-Mode Efficiency.
Sharma, S., & Dutta, N. REST Web Service Description Assessment for Hypermedia-Focused Graph-based Service Discovery.
Sharma, S., & Dutta, N. (2017). Development of Attractive Protection through Cyberattack Moderation and Traffic Impact Analysis for Connected Automated Vehicles. Development, 4(2).
Sharma, S., & Dutta, N. (2017). Classification and Feature Extraction in Artificial Intelligence-based Threat Detection using Analysing Methods.
Sharma, S., & Dutta, N. (2018). Development of New Smart City Applications using Blockchain Technology and Cybersecurity Utilisation. Development, 7(11).
Sharma, S., & Dutta, N. (2016). Analysing Anomaly Process Detection using Classification Methods and Negative Selection Algorithms.
Sharma, S., & Dutta, N. (2015). Evaluation of REST Web Service Descriptions for Graph-based Service Discovery with a Hypermedia Focus. Evaluation, 2(5).
Sharma, S., & Dutta, N. (2015). Cybersecurity Vulnerability Management using Novel Artificial Intelligence and Machine Learning Techniques.
Sharma, S., & Dutta, N. (2015). Distributed DNN-based Middleware for Cyberattack Detection in the Smart IOT Ecosystem: A Novel Framework and Performance Evaluation Technique.
Sharma, S., & Dutta, N. (2024). Examining ChatGPT’s and Other Models’ Potential to Improve the Security Environment using Generative AI for Cybersecurity.
Tejani, A. (2021). Integrating energy-efficient HVAC systems iTejani, A., Yadav, J., Toshniwal, V., & Gajjar, H. (2022). Achieving net-zero energy buildings: The strategic role of HVAC systems in design and implementation. ESP Journal of Engineering & Technology Advancements, 2(1), 39-55.
Tejani, A. (2021). Assessing the efficiency of heat pumps in cold climates: A study focused on performance metrics. ESP Journal of Engineering & Technology Advancements, 1(1), 47-56.
Tejani, A., Yadav, J., Toshniwal, V., & Kandelwal, R. (2021). Detailed cost-benefit analysis of geothermal HVAC systems for residential applications: Assessing economic and performance factors. ESP Journal of Engineering & Technology Advancements, 1(2), 101-115.
Kunchala, M. R. (2024). Asset Capitalization using SAP S/4HANA in Field Inventory Management (FIM). International Journal of Science and Research (IJSR), 13(5), 1429-1432.
Kunchala, M. R. Transforming Financial Data into Strategic Insights using SAP Business Technology Platform (BTP).
Reddy, M. S., Sarisa, M., Konkimalla, S., Bauskar, S. R., Gollangi, H. K., Galla, E. P., & Rajaram, S. K. (2021). Predicting tomorrow’s Ailments: How AI/ML Is Transforming Disease Forecasting. ESP Journal of Engineering & Technology Advancements, 1(2), 188-200.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Echoes in Pixels: The intersection of Image Processing and Sound detection through the lens of AI and Ml. International Journal of Developnto historical buildings: Challenges and solutions for balancing preservation and modernization. ESP Journal of Engineering & Technology Advancements, 1(1), 83-97.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Exploring AI Algorithms for Cancer Classification and Prediction Using Electronic Health Records. Journal of Artificial Intelligence and Big Data, 1(1), 65-74.
Boddapati, V. N., Sarisa, M., Reddy, M. S., Sunkara, J. R., Rajaram, S. K., Bauskar, S. R., & Polimetla, K. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. Available at SSRN 4977121.
Reddy, M., Galla, E. P., Bauskar, S. R., Madhavram, C., & Sunkara, J. R. (2021). Analysis of Big Data for the Financial Sector Using Machine Learning Perspective on Stock Prices. Available at SSRN 5059521.
Bauskar, S. (2020). View of Unveiling the Hidden Patterns AI-Driven Innovations in Image Processing and Acoustic Signal Detection. Journal of Recent Trends in Computer Science and Engineering, 8(1), 10-70589.
Madhavram, C., Konkimalla, S., Rajaram, S. K., & Gollangi, H. K. (2022). AI/ML-Powered Phishing Detection: Building an Impenetrable Email Security System. Available at SSRN 5029460.
Polamarasetti, A. (2024, November). Research developments, trends and challenges on the rise of machine learning for detection and classification of malware. In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-5). IEEE.
Polamarasetti, A. (2024, November). Machine learning techniques analysis to Efficient resource provisioning for elastic cloud services. In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-6). IEEE.
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Polamarasetti, A. (2024, November). Role of Artificial Intelligence and Machine Learning to Enhancing Cloud Security. In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-6). IEEE.
Vadisetty, R., & Polamarasetti, A. (2024, November). Quantum Computing For Cryptographic Security With Artificial Intelligence. In 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 252-260). IEEE.
Vadisetty, R., & Polamarasetti, A. (2024, November). Generative AI for Cyber Threat Simulation and Defense. In 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 272-279). IEEE.
Mishra, R., Saurabh, S., Dwivedi, S., & Singh, V. (2025). Influential Social Media Marketing by Integrating the Strategic Implementation. In Data Analytics and Influencer Marketing for Cultivating Brand Evangelism and Affinity (pp. 411-430). IGI Global Scientific Publishing.
Sharma, A., Aggarwal, M., Singh, V., Seth, K., & Thakur, S. (2001). Post-Covid 19 essential skills: A study of tourism and hospitality graduates. Operational transformations in tourism and hospitality, 157.
He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep Residual Learning for Image Recognition. Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 770-778.
Sharma, P., & Gupta, R. (2022). Machine Learning Techniques for Chronic Kidney Disease Detection. Journal of Healthcare Engineering, 2022, 1-9.
Tambi, V. K., & Singh, N. Evaluation of Web Services using Various Metrics for Mobile Environments and Multimedia Conferences based on SOAP and REST Principles.
Kumar, T. V. (2024). A Comparison of SQL and NO-SQL Database Management Systems for Unstructured Data.
Kumar, T. V. (2024). A Comprehensive Empirical Study Determining Practitioners’ Views on Docker Development Difficulties: Stack Overflow Analysis.
Kumar, T. V. (2024). Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative.
Kumar, T. V. (2024). A New Framework and Performance Assessment Method for Distributed Deep Neural NetworkBased Middleware for Cyberattack Detection in the Smart IoT Ecosystem.
Sharma, S., & Dutta, N. (2024). Examining ChatGPT’s and Other Models’ Potential to Improve the Security Environment using Generative AI for Cybersecurity.
Tambi, V. K., & Singh, N. (2019). Development of a Project Risk Management System based on Industry 4.0 Technology and its Practical Implications. Development, 7(11).
Tambi, V. K., & Singh, N. Blockchain Technology and Cybersecurity Utilisation in New Smart City Applications.
Arora, P., & Bhardwaj, S. Mitigating the Security Issues and Challenges in the Internet of Things (IOT) Framework for Enhanced Security.
Arora, P., & Bhardwaj, S. (2017). A Very Safe and Effective Way to Protect Privacy in Cloud Data Storage Configurations.
Arora, P., & Bhardwaj, S. (2019). The Suitability of Different Cybersecurity Services to Stop Smart Home Attacks.
Arora, P., & Bhardwaj, S. (2020). Research on Cybersecurity Issues and Solutions for Intelligent Transportation Systems.
Arora, P., & Bhardwaj, S. (2021). Methods for Threat and Risk Assessment and Mitigation to Improve Security in the Automotive Sector. Methods, 8(2).
Arora, P., & Bhardwaj, S. Research on Various Security Techniques for Data Protection in Cloud Computing with Cryptography Structures.
Arora, P., & Bhardwaj, S. Examining Cloud Computing Data Confidentiality Techniques to Achieve Higher Security in Cloud Storage.
Arora, P., & Bhardwaj, S. Designs for Secure and Reliable Intrusion Detection Systems using Artificial Intelligence Techniques.
Shreyas, S. K., Katgar, S., Ramaji, M., Goudar, Y., & Srikanteswara, R. (2017). Efficient Food Storage Using Sensors, Android and IoT. Student BE, Department of CS&E Assistant Professor, Department of CS&E, ramya. srikanteswara@ nmit. ac. in NitteMeenakshi Institute Of Technology, Bengaluru.
Srikanteswara, R., Reddy, M. C., Himateja, M., & Kumar, K. M. (2022). Object detection and voice guidance for the visually impaired using a smart app. In Recent Advances in Artificial Intelligence and Data Engineering: Select Proceedings of AIDE 2020 (pp. 133-144). Springer Singapore.
Srikanteswara, R., Hegde, A., & Hegde, P. T. (2023, October). Emergency Vehicle Recognition Via Automated Smart Traffic Manager. In 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) (pp. 1-6). IEEE.
Babu, P., Habelalmateen, M. I., Srikanteswara, R., Reddy, R. A., & Purushotham, N. (2024, May). Wafer Surface Semiconductor Defect Classification Using Convolution Neural Network Based Improved Faster R-CNN. In 2024 Second International Conference on Data Science and Information System (ICDSIS) (pp. 1-4). IEEE.
Srikanteswara, R., & Ramachandra, A. C. (2024). ACM technique for recognition of region of interest using contour and colour features. Multimedia Tools and Applications, 1-13.
Srikanteswara, R., Rahul, C. J., Sainath, G., Jaswanth, M. H., & Sharma, V. N. (2022). IoT Based Automatic Medicine Reminder. In Expert Clouds and Applications: Proceedings of ICOECA 2022 (pp. 157-171). Singapore: Springer Nature Singapore.
Bhat, S. (2015). Design and Function of a Gas Turbine Range Extender for Hybrid Vehicles.
Bhat, S. Automobile Cabin Pre-Conditioning Method Driven by Environmental Conditions with Multi-Satisfaction Goals.
Bhat, S. (2015). Deep Reinforcement Learning for Energy-Saving Thermal Comfort Management in Intelligent Structures.
Bhat, S. (2016). Improving Data Centre Energy Efficiency with End-To-End Cooling Modelling and Optimisation.
Bhat, S. (2020). Enhancing Data Centre Energy Efficiency with Modelling and Optimisation of End-To-End Cooling.
Bhat, S. (2024). Building Thermal Comforts with Various HVAC Systems and Optimum Conditions.
Bhat, S (2023). Discovering the Attractiveness of Hydrogen-Fuelled Gas Turbines in Future Energy Systems.
Bhat, S. (2015). Technology for Chemical Industry Mixing and Processing. Technology, 2(2).
Bhat, S. (2018). The Impact of Data Centre Cooling Technology on Turbo-Mode Efficiency.
Bhat, S. (2019). Data Centre Cooling Technology’s Effect on Turbo-Mode Efficiency.
Sharma, S., & Dutta, N. REST Web Service Description Assessment for Hypermedia-Focused Graph-based Service Discovery.
Sharma, S., & Dutta, N. (2017). Development of Attractive Protection through Cyberattack Moderation and Traffic Impact Analysis for Connected Automated Vehicles. Development, 4(2).
Sharma, S., & Dutta, N. (2017). Classification and Feature Extraction in Artificial Intelligence-based Threat Detection using Analysing Methods.
Sharma, S., & Dutta, N. (2018). Development of New Smart City Applications using Blockchain Technology and Cybersecurity Utilisation. Development, 7(11).
Sharma, S., & Dutta, N. (2016). Analysing Anomaly Process Detection using Classification Methods and Negative Selection Algorithms.
Sharma, S., & Dutta, N. (2015). Evaluation of REST Web Service Descriptions for Graph-based Service Discovery with a Hypermedia Focus. Evaluation, 2(5).
Sharma, S., & Dutta, N. (2015). Cybersecurity Vulnerability Management using Novel Artificial Intelligence and Machine Learning Techniques.
Sharma, S., & Dutta, N. (2015). Distributed DNN-based Middleware for Cyberattack Detection in the Smart IOT Ecosystem: A Novel Framework and Performance Evaluation Technique.
Sharma, S., & Dutta, N. (2024). Examining ChatGPT’s and Other Models’ Potential to Improve the Security Environment using Generative AI for Cybersecurity.
Tejani, A. (2021). Integrating energy-efficient HVAC systems iTejani, A., Yadav, J., Toshniwal, V., & Gajjar, H. (2022). Achieving net-zero energy buildings: The strategic role of HVAC systems in design and implementation. ESP Journal of Engineering & Technology Advancements, 2(1), 39-55.
Tejani, A. (2021). Assessing the efficiency of heat pumps in cold climates: A study focused on performance metrics. ESP Journal of Engineering & Technology Advancements, 1(1), 47-56.
Tejani, A., Yadav, J., Toshniwal, V., & Kandelwal, R. (2021). Detailed cost-benefit analysis of geothermal HVAC systems for residential applications: Assessing economic and performance factors. ESP Journal of Engineering & Technology Advancements, 1(2), 101-115.
Kunchala, M. R. (2024). Asset Capitalization using SAP S/4HANA in Field Inventory Management (FIM). International Journal of Science and Research (IJSR), 13(5), 1429-1432.
Kunchala, M. R. Transforming Financial Data into Strategic Insights using SAP Business Technology Platform (BTP).
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Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Echoes in Pixels: The intersection of Image Processing and Sound detection through the lens of AI and Ml. International Journal of Developnto historical buildings: Challenges and solutions for balancing preservation and modernization. ESP Journal of Engineering & Technology Advancements, 1(1), 83-97.
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Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Exploring AI Algorithms for Cancer Classification and Prediction Using Electronic Health Records. Journal of Artificial Intelligence and Big Data, 1(1), 65-74.
Boddapati, V. N., Sarisa, M., Reddy, M. S., Sunkara, J. R., Rajaram, S. K., Bauskar, S. R., & Polimetla, K. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. Available at SSRN 4977121.
Reddy, M., Galla, E. P., Bauskar, S. R., Madhavram, C., & Sunkara, J. R. (2021). Analysis of Big Data for the Financial Sector Using Machine Learning Perspective on Stock Prices. Available at SSRN 5059521.
Bauskar, S. (2020). View of Unveiling the Hidden Patterns AI-Driven Innovations in Image Processing and Acoustic Signal Detection. Journal of Recent Trends in Computer Science and Engineering, 8(1), 10-70589.
Madhavram, C., Konkimalla, S., Rajaram, S. K., & Gollangi, H. K. (2022). AI/ML-Powered Phishing Detection: Building an Impenetrable Email Security System. Available at SSRN 5029460.
Polamarasetti, A. (2024, November). Research developments, trends and challenges on the rise of machine learning for detection and classification of malware. In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-5). IEEE.
Polamarasetti, A. (2024, November). Machine learning techniques analysis to Efficient resource provisioning for elastic cloud services. In 2024 International Conference on
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Polamarasetti, A. (2024, November). Role of Artificial Intelligence and Machine Learning to Enhancing Cloud Security. In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) (pp. 1-6). IEEE.
Vadisetty, R., & Polamarasetti, A. (2024, November). Quantum Computing For Cryptographic Security With Artificial Intelligence. In 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 252-260). IEEE.
Vadisetty, R., & Polamarasetti, A. (2024, November). Generative AI for Cyber Threat Simulation and Defense. In 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 272-279). IEEE.
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Sharma, P., & Gupta, R. (2022). Machine Learning Techniques for Chronic Kidney Disease Detection. Journal of Healthcare Engineering, 2022, 1-9.
Tambi, V. K., & Singh, N. Evaluation of Web Services using Various Metrics for Mobile Environments and Multimedia Conferences based on SOAP and REST Principles.
Kumar, T. V. (2024). A Comparison of SQL and NO-SQL Database Management Systems for Unstructured Data.
Kumar, T. V. (2024). A Comprehensive Empirical Study Determining Practitioners’ Views on Docker Development Difficulties: Stack Overflow Analysis.
Kumar, T. V. (2024). Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative.
Kumar, T. V. (2024). A New Framework and Performance Assessment Method for Distributed Deep Neural NetworkBased Middleware for Cyberattack Detection in the Smart IoT Ecosystem.
Sharma, S., & Dutta, N. (2024). Examining ChatGPT’s and Other Models’ Potential to Improve the Security Environment using Generative AI for Cybersecurity.
Tambi, V. K., & Singh, N. (2019). Development of a Project Risk Management System based on Industry 4.0 Technology and its Practical Implications. Development, 7(11).
Tambi, V. K., & Singh, N. Blockchain Technology and Cybersecurity Utilisation in New Smart City Applications.
Arora, P., & Bhardwaj, S. Mitigating the Security Issues and Challenges in the Internet of Things (IOT) Framework for Enhanced Security.
Arora, P., & Bhardwaj, S. (2017). A Very Safe and Effective Way to Protect Privacy in Cloud Data Storage Configurations.
Arora, P., & Bhardwaj, S. (2019). The Suitability of Different Cybersecurity Services to Stop Smart Home Attacks.
Arora, P., & Bhardwaj, S. (2020). Research on Cybersecurity Issues and Solutions for Intelligent Transportation Systems.
Arora, P., & Bhardwaj, S. (2021). Methods for Threat and Risk Assessment and Mitigation to Improve Security in the Automotive Sector. Methods, 8(2).
Arora, P., & Bhardwaj, S. Research on Various Security Techniques for Data Protection in Cloud Computing with Cryptography Structures.
Arora, P., & Bhardwaj, S. Examining Cloud Computing Data Confidentiality Techniques to Achieve Higher Security in Cloud Storage.
Arora, P., & Bhardwaj, S. Designs for Secure and Reliable Intrusion Detection Systems using Artificial Intelligence Techniques.
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Vadisetty, R., & Polamarasetti, A. (2024, November). Quantum Computing For Cryptographic Security With Artificial Intelligence. In 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 252-260). IEEE.
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