CAREER GUIDANCE APPLICATION FOR STUDENTS – AI ASSISTED

1. Selvan, M. A. (2024). SVM-Enhanced Intrusion Detection System for Effective Cyber Attack Identification and Mitigation.
2. Selvan, M. A., & Amali, S. M. J. (2024). RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.
3. Selvan, M. A. (2024). IoT-Integrated Smart Home Technologies with Augmented Reality for Improved User Experience.
4. Selvan, M. A. (2024). Multipath Routing Optimization for Enhanced Load Balancing in Data-Heavy Networks.
5. Selvan, M. A. (2024). Transforming Consumer Behavior Analysis with Cutting-Edge Machine Learning.
6. Selvan, M. A. (2023). Fire Management System For Indutrial Safety Applications.
7. Selvan, M. A. (2023). A PBL REPORT FOR CONTAINMENT ZONE ALERTING APPLICATION.
8. Selvan, M. A. (2023). CONTAINMENT ZONE ALERTING APPLICATION A PROJECT BASED LEARNING REPORT.
9. Selvan, M. A. (2023). INDUSTRY-SPECIFIC INTELLIGENT FIRE MANAGEMENT SYSTEM.
10. Selvan, M. A. (2024). Deep Learning Techniques for Comprehensive Emotion Recognition and Behavioral Regulation.
11. Selvan, M. A. (2021). Robust Cyber Attack Detection with Support Vector Machines: Tackling Both Established and Novel Threats.
12. Reka, R., R. Karthick, R. Saravana Ram, and Gurkirpal Singh. “Multi head self-attention gated graph convolutional network based multi‑attack intrusion detection in MANET.” Computers & Security 136 (2024): 103526.
13. Meenalochini, P., R. Karthick, and E. Sakthivel. “An Efficient Control Strategy for an Extended Switched Coupled Inductor Quasi-Z-Source Inverter for 3 Φ Grid Connected System.” Journal of Circuits, Systems and Computers 32.11 (2023): 2450011.
14. Karthick, R., et al. “An optimal partitioning and floor planning for VLSI circuit design based on a hybrid bio-inspired whale optimization and adaptive bird swarm optimization (WO-ABSO) algorithm.” Journal of Circuits, Systems and Computers 32.08 (2023): 2350273.
15. Rajagopal RK, Karthick R, Meenalochini P, Kalaichelvi T. Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images. Biomedical Signal Processing and Control. 2023 Jan 1;79:104197.
16. Karthick, R., and P. Meenalochini. “Implementation of data cache block (DCB) in shared processor using field-programmable gate array (FPGA).” Journal of the National Science Foundation of Sri Lanka 48.4 (2020).
17. Karthick, R., A. Senthilselvi, P. Meenalochini, and S. Senthil Pandi. “Design and analysis of linear phase finite impulse response filter using water strider optimization algorithm in FPGA.” Circuits, Systems, and Signal Processing 41, no. 9 (2022): 5254-5282.
18. Karthick, R., and M. Sundararajan. “SPIDER-based out-of-order execution scheme for HtMPSOC.” International Journal of Advanced Intelligence paradigms 19.1 (2021): 28-41.
19. Karthick, R., Dawood, M.S. & Meenalochini, P. Analysis of vital signs using remote photoplethysmography (RPPG). J Ambient Intell Human Comput 14, 16729–16736 (2023). https://doi.org/10.1007/s12652-023-04683-w
20. Preetha, M., & Budaraju, R. R. Jackulin. C, PSG Aruna Sri, T. Padmapriya “Deep Learning-Driven Real-Time Multimodal Healthcare Data Synthesis”. International Journal of Intelligent Systems and Applications in Engineering (IJISAE), ISSN, 2147-6799.
21. Sastry, J. K. R., Ch, B., & Budaraju, R. R. (2023). Implementing Dual Base Stations within an IoT Network for Sustaining the Fault Tolerance of an IoT Network through an Efficient Path Finding Algorithm. Sensors, 23(8), 4032.
22. Chutkay, S., Budaraju, R. R., Katta, B. K., & Sadhu, V. K. (2013). U.S. Patent Application No. 13/231,421.
23. Nagesh, O. S., Budaraju, R. R., Kulkarni, S. S., Vinay, M., Ajibade, S. S. M., Chopra, M., … & Kaliyaperumal, K. (2024). Boosting enabled efficient machine learning technique for accurate prediction of crop yield towards precision agriculture. Discover Sustainability, 5(1), 78.
24. Jammalamadaka, S. K. R., Chokara, B., Jammalamadaka, S. B., Duvvuri, B. K., & Budaraju, R. (2023). Enhancing the Fault Tolerance of a Multi-Layered IoT Network through Rectangular and Interstitial Mesh in the Gateway Layer. Journal of Sensor and Actuator Networks, 12(5), 76.
25. Hazzazi, M. M., Budaraju, R. R., Bassfar, Z., Albakri, A., & Mishra, S. (2023). A Finite State Machine-Based Improved Cryptographic Technique. Mathematics, 11(10), 2225.
26. Budaraju, R. R., & Jammalamadaka, S. K. R. (2024). Mining Negative Associations From Medical Databases Considering Frequent, Regular, Closed and Maximal Patterns. Computers, 13(1), 18.
27. Biyyapu, V. P., Jammalamadaka, S. K. R., Jammalamadaka, S. B., Chokara, B., Duvvuri, B. K. K., & Budaraju, R. R. (2023). Building an Expert System through Machine Learning for Predicting the Quality of a Website Based on Its Completion. Computers, 12(9), 181.
28. Attuluri, S., Bhupati, C., Ramya, L., Tiwari, A., Budaraju, R. R., & Cotrina-Aliaga, J. C. (2023). Smart investigations into the development of an effective computer-assisted diagnosis system for CT scan brain depictions. SN Computer Science, 4(5), 504.
29. Attuluri, S., Ramesh, M., Budaraju, R. R., Kumar, S., Swain, J., & Kurmi, J. (2024). Original Research Article Defending against phishing attacks in cloud computing using digital watermarking. Journal of Autonomous Intelligence, 7(5).
30. Budaraju, R. R., & Nagesh, O. S. (2023, June). Multi-Level Image Thresholding Using Improvised Cuckoo Search Optimization Algorithm. In 2023 3rd International Conference on Intelligent Technologies (CONIT) (pp. 1-7). IEEE.
31. Ramasamy, L. K., Khan, F., Shah, M., Prasad, B. V. V. S., Iwendi, C., & Biamba, C. (2022). Secure smart wearable computing through artificial intelligence-enabled internet of things and cyber-physical systems for health monitoring. Sensors, 22(3), 1076.
32. Edeh, M. O., Dalal, S., Obagbuwa, I. C., Prasad, B. S., Ninoria, S. Z., Wajid, M. A., & Adesina, A. O. (2022). Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers. Scientific Reports, 12(1), 20876.
33. Imoize, A. L., Islam, S. M., Poongodi, T., Kumar, R. L., & Prasad, B. S. (Eds.). (2023). Unmanned Aerial Vehicle Cellular Communications. Springer International Publishing.
34. Onyema, E. M., Balasubaramanian, S., Iwendi, C., Prasad, B. S., & Edeh, C. D. (2023). Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications. Measurement: Sensors, 27, 100718.
35. Syed, S. A., & Prasad, B. V. V. S. (2019, April). Merged technique to prevent SYBIL Attacks in VANETs. In 2019 International Conference on Computer and Information Sciences (ICCIS) (pp. 1-6). IEEE.
36. Parashar, D., Thakur, S., Raju, K. B., Madhavi, G. B., & Sharma, K. (2023). A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture. Revue d’Intelligence Artificielle, 37(4).
37. Raju, K., & RAO, Y. S. (2017). A NOVEL FUSION BASED HYBRID APPROACH FOR FACE RECOGNITION SYSTEM. Journal of Theoretical & Applied Information Technology, 95(9).
38. Kumar, P. R., Dhass, A. D., Raju, K. B., & Meera, S. N. (2019). ENHANCING UNDERSTANDING OF E-BIKE SAFETY IN CHINA: PREDICTING CRASH SEVERITY WITH A GENERALIZED ORDERED LOGIT MODEL. MATERIAL SCIENCE, 18(02).
39. BasavaRaju, D. K. (2019). Single Sign on Using Cloud Computing. JETIR-International Journal of Emerging Technologies and Innovative Research (www. jetir. org), ISSN, 2349-5162.
40. RAO, Y. S., & RAJU, K. (2017). Dual Control Strategy of Unified Power Quality Conditioner Applied to Three-Phase Four-Wire Distribution Systems.
41. Raju, K. B., Devi, Y. R., & Kumar, P. V. (2015). Human Age Group Estimation using Facial Features. International Journal of Engineering and Management Research (IJEMR), 5(6), 343-350.
42. Todupunuri, Archana. “Generative AI For Predictive Credit Scoring And Lending Decisions Investigating How AI Is Revolutionising Credit Risk Assessments And Automating Loan Approval Processes In Banking.” Available at SSRN 5059403 (2024).
43. Todupunuri, A. (2024). Exploring The Use of Generative AI in Creating Deepfake Content and The Risks it Poses to Data Integrity, Digital Identities, and Security Systems. Available at SSRN 5014688.
44. Todupunuri, A. (2024). The Future of Conversational AI in Banking: A Case Study on Virtual Assistants and Chatbots: Exploring the Impact of AI-Powered Virtual Assistants on Customer Service Efficiency and Satisfaction. Available at SSRN 5016982.
45. Todupunuri, A. (2024). Develop Machine Learning Models to Predict Customer Lifetime Value for Banking Customers, Helping Banks Optimize Services. International Journal of All Research Education & Scientific Methods, 12(10), 10-56025.
46. Todupunuri, A. (2024). Explore How AI Can Be Used To Create Dynamic And Adaptive Fraud & Rules That Improve The Detection And Prevention Of Fraudulent & Activities In Digital Banking.
47. Todupunuri, A. (2024). Artificial Intelligence Ethics: Investigating Ethical Frameworks, Bias Mitigation, and Transparency in AI Systems to Ensure Responsible Deployment and Use of AI Technologies. International Journal of Innovative Research in Science, Engineering and Technology, 13(09), 10-15680.
48. Todupunuri, A. (2023). Assessing The Implications Of 5g Technology On Network Architecture, LOT Applications, And Data Transmission Speeds. LOT Applications, And Data Transmission Speeds (December 06, 2023).
49. Todupunuri, A. (2023). EXPLORING THE SECURITY CHALLENGES AND SOLUTIONS FOR INTEGRATING IT WITH PHYSICAL SYSTEMS IN CRITICAL INFRASTRUCTURE. International Journal of Engineering Research and Science & Technology, 19(2), 155-160.
50. Todupunuri, A. (2023). The Role of Artificial Intelligence in Enhancing Cybersecurity Measures in Online Banking Using AI. International Journal of Enhanced Research in Management & Computer Applications, 12(01), 10-55948.
51. Tirpude, R. (2022). Study of Impact of Digital marketing on Consumer Buying Behaviour for Electronic Goods. International Journal for Research in Applied Science and Engineering Technology, 10(2), 905-909.
52. Khekare, G., Balaji, K., Arora, M., Tirpude, R. R., Chahar, B., & Bodhankar, A. (2023, May). Logistic and linear regression classifier based increasing accuracy of non-numerical data for prediction of enhanced employee attrition. In 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 758-761). IEEE.
53. Kalluru, S. R., & Gurijala, P. K. R. Increasing Efficiency of Goods Receipt with Mobility Solutions.
54. Gurijala, P. K. R., & Kalluru, S. R. Enhancing Manufacturing Efficiency with Mobility Applications.
55. Gurijala, P. K. R., Kalluru, S. R., & Dave, R. Maximizing Procurement Efficiency through Purchase Requisitions Load Building.
56. Kalluru, S. R., & Gurijala, P. K. R. Improving Putaway Efficiency Through Innovative Solutions.
57. Robinson, M., Kumar, A., Kantamaneni, N., Gurijala, P. K. R., Chandaliya, P., & Dungarwal, U. CMPE 200–Computer Architecture & Design.
58. Rajakannu, A., Ramachandran, K. P., & Vijayalakshmi, K. (2024). Condition Monitoring of Drill Bit for Manufacturing Sector Using Wavelet Analysis and Artificial Neural Network (ANN).
59. Al Tobi, M. A. S., K p, R., Al-Araimi, S., Pacturan, R., Rajakannu, A., & Achuthan, G. (2022, July). Machinery Fault Diagnosis using Continuous Wavelet Transform and Artificial Intelligence based classification. In Proceedings of the 2022 3rd International Conference on Robotics Systems and Vehicle Technology (pp. 51-59).
60. Indoria, D., & Devi, K. (2021). An Analysis On The Consumers Perception Towards Upi (Unified Payments Interface). Int. J. of Aquatic Science, 12(2), 1967-1976.
61. Devi, K., & Indoria, D. (2021). Digital Payment Service In India: A Review On Unified Payment Interface. Int. J. of Aquatic Science, 12(3), 1960-1966.
62. Devi, K., & Indoria, D. (2023). The Critical Analysis on The Impact of Artificial Intelligence on Strategic Financial Management Using Regression Analysis. Res Militaris, 13(2), 7093-7102.
63. Devi, K., & Indoria, D. (2022, December). Study on the waves of blockchain over the financial sector. In List Forum für Wirtschafts-und Finanzpolitik (Vol. 48, No. 3, pp. 181-201). Berlin/Heidelberg: Springer Berlin Heidelberg.
64. Pimplapure, V., Gulati, U., Patil, P. R., & Abhishek, N. J. (2024). Influence of Lean Marketing on the Improvement of Marketing Strategy: An Investigation of Workers’ Perspectives. In Emerging Trends in Smart Societies (pp. 402-405). Routledge.
65. Devi, K., & Indoria, D. (2024). Impact of Russia-Ukraine War on the Financial Sector of India. Drishtikon: A Management Journal, 15(1).
66. Indoria, D., & Devi, K. Analyzing the effect of COVID-19 in the financial behavior of consumers and investors.
67. Devi, K., & Indoria, D. (2021). Role of Micro Enterprises in the Socio-Economic Development of Women–A Case Study of Koraput District, Odisha. Design Engineering, 1135-1151.
68. Indoria, D. (2021). AN APPLICATION OF FOREIGN DIRECT INVESTMENT. BIMS International Research Journal of Management and Commerce, 6(1), 01-04.
69. Devi, K., & Indoria, D. (2020). A STUDY ON ONLINE BANKING AND ITS EFFECT ON THE FINANCIAL BEHAVIOUR: A SPECIAL REFERENCE TO JEYPORE TOWN OF ODISHA. International Journal of Management (IJM), 11(1).
70. Reddy, C. S., & Aradhya, G. B. (2020). Driving forces for the success of food ordering and delivery apps: a descriptive study. International Journal of Engineering and Management Research, 10.
71. Patil, B., TK, S. K., Kumar, B. S., & Shankar, M. S. (2021). Impact of consumer behavior based on store atmospherics. PalArch’s Journal of Archaeology of Egypt/Egyptology, 18(09), 480-492.
72. Reddy, C. S., & Aradhya, G. B. (2017). Impact of Online Consumer Reviews on Consumer Purchase Decision in Bangalore. International Journal of Allied Practice, Research and Review, 4(3), 1-7.
73. Khurana, U. (2021). Impact of employer branding on work-life-balance of IT employees in Bangalore. PalArch’s Journal of Archaeology of Egypt/Egyptology, 18(09), 327-338.
74. Pal, S., & Aradhya, G. B. (2020). A Study on Challenges Faced by Restaurants to Maintain Quality Food with Competitive Pricing. Available at SSRN 3643790.
75. Kumar, S. T. K., & Aradhya, G. B. (2019). Potent of Sales-Persons, Impact on the Channel of Distribution in Lighting Industry in Bangalore. J. Adv. Res. Dyn. Con. Sys, 11(5), 166.
76. Reddy, C. S., & Aradhya, G. B. (2021). E-Grocery: The Driving Forces Of Consumer Behaviour. Turkish Online Journal of Qualitative Inquiry, 12(5).
77. Harshal, P., & Aradhya, G. (2021). A Tectonic Shift in An Education Sector by An Effective Technology Tool: A Virtual Class Room Learning in An Indian Scenario. International Journal of Innovation, Leadership, Society and Sustainability 1, (I), 9-9.
78. Sharma, A., Ghrutakaushik, N., & Chandra, S. (2021). IMPACT OF 3+ 2+ 2 WORK SCHEDULE ON ITES SECTOR. PalArch’s Journal of Archaeology of Egypt/Egyptology, 18(09), 470-479.
79. Yadavalli, L. K., Srinivasan, S. M., Aradhya, G. B., & Limbu, A. (2021). Effectiveness of artificial intelligence on business decisions in it industry. Journal of Tianjin University Science and Technology, 54(6).
80. Pandya, F. H., Jain, S., & Atchyutuni, N. (Eds.). (2022). Building Resilient Organizations: Predicaments & Prospects. Taylor & Francis.
81. Aradhya, G. B., Saha, A., & Sinha, A. (2022). AN EXPLORATIVE ANALYSIS OF EMPLOYEE EMOTIONAL LABOUR IMPACTING ON THE CUSTOMER PERCEIVED BRAND IMAGE ON MARUTI CAR SERVICES IN BANGALORE. International Journal of Early Childhood Special Education, 14(5).
82. Aradhya, G. B., KJ, M. M. G., Majumder, M. D., & Gurao, M. K. (2022). A synthesis of emotional quotient in dealer management in the electric car distribution channel in Bangalore. The journal of contemporary issues in business and government, 28(3), 596-603.
83. Reddy, C. S., & Aradhya, G. B. (2018). A Study on Consumers’ Online Purchase Intensions of Groceries through Mobile Applications.
84. Krishna, M., Aradhya, G. B., & Kar, S. (2017). Innovative Techniques in Store Atmospherics by Retailers for Favourable Customer Perception.
85. Aradhya, G. B. S., & Vinay, M. R. (2017). Skill India to Leverage Make in India: Intiatives and Challenges-A Study on Problems of Entrepreneurs and Venture Capitalists in Bengaluru. Anveshana, 7(1), 57-72.
86. Lakshmi, K. S., Paul, M. S., & Anand, M. S. EFFECTIVENESS OF MANDATING THE FASTAG IN NATIONAL HIGHWAY AND CROSS BORDER TOLL COLLECTION CENTRES.
87. Economics, N. N., Mohapatra, A. K., Samanta, P. K., Singh, K., & Dhamija, A. Empirical Economics Letters.
88. Basava, S. G., Markandey, P. P., & Devaraj, J. A. REVOLUTIONIZING RECRUITMENT BY EQUALIZING THE QUOTIENTS: MACHINE EQ AND HUMAN IQ.
89. KRISHNA, M., ARADHYA, D. G. B., & KAR, D. S. A Study on the Impact of Store Atmospheric Attributes on Consumer Experiences.