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Dr.S.Ramasamy, M.Devendran
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Page No: 685 - 695
Abstract : Visualization and manifestation are powerful practices that bridge cognitive psychology and spirituality. This paper explores how these practices affect human behavior, belief systems, and personal transformation. Cognitive theories explain how mental imagery and positive expectancy contribute to motivation and goal achievement. From a spiritual lens, manifestation taps into metaphysical beliefs and the law of attraction, where thoughts are believed to shape reality. Research in neuroscience and psychology has begun to validate many aspects of visualization, including neural activation in the brain's motor cortex during mental rehearsal. Meanwhile, spiritual traditions from ancient scriptures to modern New Thought philosophies emphasize the role of intention and belief in creating desired experiences. This paper integrates cognitive science with spiritual wisdom to examine the efficacy and implications of visualization and manifestation practices. Through literature analysis, case studies, and theoretical synthesis, it presents a holistic perspective on how visualization techniques, when applied with mindfulness and intentionality, can foster psychological well-being and spiritual alignment.
Keyword: Visualization, Manifestation, Cognitive Psychology, Spirituality, Law of Attraction
Reference:

1. Senthilkumar Ramachandraarjunan, Venkatakrishnan Perumalsamy & Balaji Narayanan 2022, ‘IoT based artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques’, in Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 2853-2868
2. Senthilkumar,Dr.P.Venkatakrishnan,Dr.N.Balaji, Intelligent based novel embedded system based IoT Enabled air pollution monitoring system, ELSEVIER Microprocessors and Microsystems Vol.77, June 2020
3. Thepade, S., & Mandal, P. R. (2014, December). Energy compaction based novel Iris recognition techniques using partial energies of transformed iris images with Cosine, Walsh, Haar, Kekre, Hartley Transforms and their Wavelet Transforms. In 2014 Annual IEEE India Conference (INDICON) (pp. 1-6). IEEE.
4. Jadhav, S., Machale, A., Mharnur, P., Munot, P., & Math, S. (2019, September). Text based stress detection techniques analysis using social media. In 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA) (pp. 1-5). IEEE.
5. Kiran, A., Sonker, A., Jadhav, S., Jadhav, M. M., Naga Ramesh, J. V., & Muniyandy, E. (2024). Secure Communications with THz Reconfigurable Intelligent Surfaces and Deep Learning in 6G Systems. Wireless Personal Communications, 1-17.
6. Jadhav, S. R., Bishnoi, A., Safarova, N., Khan, F., Aurangzeb, K., & Alhussein, M. (2024). Dual-Attention Based Multi-Path Approach for Intensifying Stock Market Forecasting. Fluctuation and Noise Letters, 23(02), 2440009.
7. Anitha, C., Tellur, A., Rao, K. B., Kumbhar, V., Gopi, T., Jadhav, S., & Vidhya, R. G. (2024). Enhancing Cyber-Physical Systems Dependability through Integrated CPS-IoT Monitoring. International Research Journal of Multidisciplinary Scope, 5(2), 706-713.
8. Vandana, C. P., Basha, S. A., Madiajagan, M., Jadhav, S., Matheen, M. A., & Maguluri, L. P. (2024). IoT resource discovery based on multi faected attribute enriched CoAP: smart office seating discovery. Wireless Personal Communications, 1-18.
9. Jadhav, S., Durairaj, M., Reenadevi, R., Subbulakshmi, R., Gupta, V., & Ramesh, J. V. N. (2024). Spatiotemporal data fusion and deep learning for remote sensing-based sustainable urban planning. International Journal of System Assurance Engineering and Management, 1-9.
10. Jadhav, S., Chaudhari, V., Barhate, P., Deshmukh, K., & Agrawal, T. (2021). Extreme Gradient Boosting for Predicting Stock Price Direction in Context of Indian Equity Markets. In Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 2 (pp. 321-330). Singapore: Springer Nature Singapore.
11. Thepade, S. D., Dewan, J. H., Erandole, S. S., & Jadhav, S. R. (2015, April). Extended performance comparison of self mutated hybrid wavelet transforms in image compression with hybrid wavelet transforms & orthogonal transforms. In 2015 Global Conference on Communication Technologies (GCCT) (pp. 317-322). IEEE.
12. Jadhav, S., Chaudhari, V., Barhate, P., Deshmukh, K., & Agrawal, T. (2021). REVIEW PAPER ON: ALGORITHMIC TRADING USING ARTIFICIAL INTELLEGENCE.
13. KP, A., & John, J. (2021). The Impact Of COVID-19 On Children And Adolescents: An Indianperspectives And Reminiscent Model. Int. J. of Aquatic Science, 12(2), 472-482.
14. Labhane, S., Akhila, K. P., Rane, A. M., Siddiqui, S., Mirshad Rahman, T. M., & Srinivasan, K. (2023). Online Teaching at Its Best: Merging Instructions Design with Teaching and Learning Research; An Overview. Journal of Informatics Education and Research, 3(2).
15. John, J., & Akhila, K. P. (2019). Deprivation of Social Justice among Sexually Abused Girls: A Background Study.
16. Akhila, K. P., & John, J. Deliberate democracy and the MeToo movement: Examining the impact of social media feminist discourses in India. In The Routledge International Handbook of Feminisms in Social Work (pp. 513-525). Routledge.
17. Chary, S. S., Bhikshapathi, D. V. R. N., Vamsi, N. M., & Kumar, J. P. (2024). Optimizing Entrectinib Nanosuspension: Quality by Design for Enhanced Oral Bioavailability and Minimized Fast-Fed Variability. BioNanoScience, 14(4), 4551-4569.
18. Kumar, J. P., Rao, C. M. P., Singh, R. K., Garg, A., & Rajeswari, T. (2024). A comprehensive review on blood brain delivery methods using nanotechnology. Tropical Journal of Pharmaceutical and Life Sciences, 11(3), 43-52.
19. Kumar, J. P., Ismail, Y., Reddy, K. T. K., Panigrahy, U. P., Shanmugasundaram, P., & Babu, M. K. (2022). PACLITAXEL NANOSPONGES’FORMULA AND IN VITRO EVALUATION. Journal of Pharmaceutical Negative Results, 13(7), 2733-2740.
20. NULI, M., KUMAR, J. P., KORNI, R., & PUTTA, S. (2024). Cadmium Toxicity: Unveiling the Threat to Human Health. Indian Journal of Pharmaceutical Sciences, 86(5).
21. Lopez, S., Sarada, V., Praveen, R. V. S., Pandey, A., Khuntia, M., & Haralayya, D. B. (2024). Artificial intelligence challenges and role for sustainable education in india: Problems and prospects. Sandeep Lopez, Vani Sarada, RVS Praveen, Anita Pandey, Monalisa Khuntia, Bhadrappa Haralayya (2024) Artificial Intelligence Challenges and Role for Sustainable Education in India: Problems and Prospects. Library Progress International, 44(3), 18261-18271.
22. Kumar, N., Kurkute, S. L., Kalpana, V., Karuppannan, A., Praveen, R. V. S., & Mishra, S. (2024, August). Modelling and Evaluation of Li-ion Battery Performance Based on the Electric Vehicle Tiled Tests using Kalman Filter-GBDT Approach. In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-6). IEEE.
23. Sharma, S., Vij, S., Praveen, R. V. S., Srinivasan, S., Yadav, D. K., & VS, R. K. (2024, October). Stress Prediction in Higher Education Students Using Psychometric Assessments and AOA-CNN-XGBoost Models. In 2024 4th International Conference on Sustainable Expert Systems (ICSES) (pp. 1631-1636). IEEE.
24. Yamuna, V., Praveen, R. V. S., Sathya, R., Dhivva, M., Lidiya, R., & Sowmiya, P. (2024, October). Integrating AI for Improved Brain Tumor Detection and Classification. In 2024 4th International Conference on Sustainable Expert Systems (ICSES) (pp. 1603-1609). IEEE.
25. Anuprathibha, T., Praveen, R. V. S., Sukumar, P., Suganthi, G., & Ravichandran, T. (2024, October). Enhancing Fake Review Detection: A Hierarchical Graph Attention Network Approach Using Text and Ratings. In 2024 Global Conference on Communications and Information Technologies (GCCIT) (pp. 1-5). IEEE.
26. Praveen, R. V. S., Hemavathi, U., Sathya, R., Siddiq, A. A., Sanjay, M. G., & Gowdish, S. (2024, October). AI Powered Plant Identification and Plant Disease Classification System. In 2024 4th International Conference on Sustainable Expert Systems (ICSES) (pp. 1610-1616). IEEE.
27. Praveen, R. V. S. (2024). Data Engineering for Modern Applications. Addition Publishing House.
28. Dhivya, R., Sagili, S. R., Praveen, R. V. S., VamsiLala, P. N. V., Sangeetha, A., & Suchithra, B. (2024, December). Predictive Modelling of Osteoporosis using Machine Learning Algorithms. In 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) (pp. 997-1002). IEEE.
29. Praveen, R. V. S., Raju, A., Anjana, P., & Shibi, B. (2024, October). IoT and ML for Real-Time Vehicle Accident Detection Using Adaptive Random Forest. In 2024 Global Conference on Communications and Information Technologies (GCCIT) (pp. 1-5). IEEE.
30. Kemmannu, P. K., Praveen, R. V. S., Saravanan, B., Amshavalli, M., & Banupriya, V. (2024, December). Enhancing Sustainable Agriculture Through Smart Architecture: An Adaptive Neuro-Fuzzy Inference System with XGBoost Model. In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA) (pp. 724-730). IEEE.
31. Shinkar, A. R., Joshi, D., Praveen, R. V. S., Rajesh, Y., & Singh, D. (2024, December). Intelligent Solar Energy Harvesting and Management in IoT Nodes Using Deep Self-Organizing Maps. In 2024 International Conference on Emerging Research in Computational Science (ICERCS) (pp. 1-6). IEEE.
32. Sharma, D. K., Singh, N. C., Noola, D. A., Doss, A. N., & Sivakumar, J. (2022). A review on various cryptographic techniques & algorithms. Materials Today: Proceedings, 51, 104-109.
33. Sivakumar, J., Thangavel, K., & Saravanan, P. (2012, March). Computed radiography skull image enhancement using Wiener filter. In International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) (pp. 307-311). IEEE.
34. Sivakumar, J., Malik, M., & Rajasekaran, A. S. (2022, December). Integrity auditing for secure cloud storage on sensitive data protection. In 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) (pp. 1-6). IEEE.
35. Sivakumar, J., Yassir, A., & Saravanan, P. (2014). Intent Based Security Challenges in Android-An Analysis & Recommendation. International Journal of Computer Science and Network Security (IJCSNS), 14(3), 72.
36. Sivakumar, J., Nayak, S., & Doss, A. N. (2020). IoT: Effective Authentication System (EAS) using Hash based Encryption on RFID Attacks. International Journal of Engineering and Management Research, 10.
37. Sivakumar, J., & Begum, H. (2017). Integer factorization in RSA encryption: Challenge for cloud attackers. International Journal of Computer Science Trends and Technology, 5(2), 405-408.
38. Sivakumar, J. A. N. A. K. I., Thangavelu, K., & Yassir, A. (2013). Multi variant analysis and validation study on mastoid triangle process for sex determination. Int J Innovative Tech Res, 1, 187-90.
39. Dhabliya, D., Alkkhayat, A. H., Sivakumar, J., & Bhokde, R. (2023, December). Design and Analysis of Four-Wheeler Chassis for Improved Performance. In 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 1-8). IEEE.
40. Rajasekaran, A. S., Priya, S. S., Sivakumar, J., & Varkale, A. (2023, December). Cybersecurity Measures Using Machine Learning for Business Applications. In 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 01-08). IEEE.
41. Al Rumhi, S. N., & Sivakumar, J. (2024). ADVANCE AIR POLLUTION PREDICTION IN OMAN THROUGH MACHINE LEARNING APPROACHES: ANALYSIS, MODELS, AND FUTURE DIRECTIONS. Journal of Data Acquisition and Processing, 39(2), 92-115.
42. Athari Al Siyabi, D. J. S. (2024). PREDICTING EMPLOYEE PERFORMANCE IN THE GOVERNMENT OF OMAN USING MACHINE LEARNING. Journal of Data Acquisition and Processing, 39(2), 73-91.
43. Sivakumar, J., & Al Harthy, K. (2024). AI-Powered Teaching Plan: Present and Post Evaluation. In Utilizing AI for Assessment, Grading, and Feedback in Higher Education (pp. 162-188). IGI Global.
44. Kandpal, J., Jonitha, A., Sivakumar, J., & Ray, R. K. (2023, December). Multi-Modal Data Fusion Approach Using the Structured and Sparse Principal Component Analysis (MMSSCA). In 2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS) (pp. 386-391). IEEE.
45. Al Rumhi, S., & Sivakumar, J. (2023, December). Sales Analysis-Review and Recommendations on Business Intelligence. In 2023 24th International Arab Conference on Information Technology (ACIT) (pp. 1-10). IEEE.
46. Panjaitan, M. B., Sivakumar, J., Chabra, A., James, M., Kaur, H., & Vaid Kwatra, C. (2023, November). Intrusion detection system based on machine learning models: An empirical analysis. In AIP Conference Proceedings (Vol. 2930, No. 1). AIP Publishing.
47. Sidharth, S. (2023). Homomorphic Encryption: Enabling Secure Cloud Data Processing.
48. Sidharth, S. (2024). Strengthening Cloud Security with AI-Based Intrusion Detection Systems.
49. Sidharth, S. (2023). AI-Driven Anomaly Detection for Advanced Threat Detection.
50. Sidharth, S. (2022). Zero Trust Architecture: A Key Component of Modern Cybersecurity Frameworks.
51. Sidharth, S. (2021). Multi-Cloud Environments: Reducing Security Risks in Distributed Architectures.
52. Sidharth, S. (2020). The Rising Threat of Deepfakes: Security and Privacy Implications.
53. Sidharth, S. (2019). Quantum-Enhanced Encryption Methods for Securing Cloud Data.
54. Sidharth, S. (2019). Enhancing Security of Cloud-Native Microservices with Service Mesh Technologies.
55. Sidharth, S. (2022). Enhancing Generative AI Models for Secure and Private Data Synthesis.
56. Ramya, C. (2019). Claude McKay and Black Diaspora. Strength for Today and Bright Hope for Tomorrow Volume 19: 6 June 2019 ISSN 1930-2940, 289.
57. Ramya, C. (2019). Bernard Shaw as an Adept in Depicting Women Characters as Embodiment of Softness, Endurance, Domesticity, Human Passion, Independent Will and Human Sympathy in His Plays: An Appraisal. Veda’s Journal of English Language and Literature (JOELL), 6(2), 82.
58. Ramya, C. (2019). Anita Desai-Psychological Exploration of the Inner Psyche of Her Existential Characters. Strength for Today and Bright Hope for Tomorrow Volume 19: 9 September 2019 ISSN 1930-2940, 27.
59. Ramya, C. (2019). Ernest Hemingway’s Portrayal of Female Characters. Strength for Today and Bright Hope for Tomorrow Volume 19: 5 May 2019 ISSN 1930-2940, 268.
60. Ramya, C. (2020). Paule Marshall and Feminine Aesthetic. Language in India, 20(10).
61. Ramya, C. (2020). Saru in Shashi Deshpande’s The Dark Holds No Terrors. Language in India, 20(7).
62. Ramya, C. (2020). Rhetoric and Poetic Excellence of Philip Larkin. Strength for Today and Bright Hope for Tomorrow Volume 20: 5 May 2020 ISSN 1930-2940, 1.
63. Ramya, C. (2020). Somerset Maugham: Mirroring Human Life and Human Weaknesses. Language in India, 20(3).
64. Ramya, C. (2020). Tagore’s Concept of Womanhood and His Deep Insight into the Heart of a Woman as Pictured in His Short Stories. Strength for Today and Bright Hope for Tomorrow Volume 20: 8 August 2020 ISSN 1930-2940, 235.
65. Ramya, C. (2020). A House for Mr. Biswas VS Naipaul’s Journey from Self-discovery to Search for Identity and Stability. Strength for Today and Bright Hope for Tomorrow Volume 20: 6 June 2020 ISSN 1930-2940, 68.
66. Srikanth, V., & Dhanapal, D. R. (2012). E-commerce online security and trust marks. International Journal of Computer Engineering and Technology, 3(2), 238-255.
67. Srikanth, V., & Dhanapal, R. (2011). A business review of e-retailing in India. International journal of business research and management, 1(3), 105-121.
68. Srikanth, V., Walia, R., Augustine, P. J., Simla, J., & Jegajothi, B. (2022, March). Chaotic Whale Optimization based Node Localization Protocol for Wireless Sensor Networks Enabled Indoor Communication. In 2022 International Conference on Electronics and Renewable Systems (ICEARS) (pp. 702-707). IEEE.
69. Srikanth, V., Natarajan, V., Jegajothi, B., Arumugam, S. D., & Nageswari, D. (2022, March). Fruit fly optimization with deep learning based reactive power optimization model for distributed systems. In 2022 International Conference on Electronics and Renewable Systems (ICEARS) (pp. 319-324). IEEE.
70. Singh, S., Srikanth, V., Kumar, S., Saravanan, L., Degadwala, S., & Gupta, S. (2022, February). IOT Based Deep Learning framework to Diagnose Breast Cancer over Pathological Clinical Data. In 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (Vol. 2, pp. 731-735). IEEE.
71. Srikanth, V. (2011). An Insight to Build an E-Commerce Website with OSCommerce. International Journal of Computer Science Issues (IJCSI), 8(3), 332.
72. Srikanth, V., Aswini, P., Asha, V., Pithamber, K., Sobti, R., & Salman, Z. (2024, November). Development of an Electric Automation Control Model Using Artificial Intelligence. In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES) (pp. 1-5). IEEE.
73. Srikanth, V., Aswini, P., Chandrashekar, R., Sirisha, N., Kumar, M., & Adnan, K. (2024, November). Machine Learning-Based Analogue Circuit Design for Stage Categorization and Evolutionary Optimization. In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES) (pp. 1-6). IEEE.
74. Hussain, M. I., Shamim, M., Ravi Sankar, A. V., Kumar, M., Samanta, K., & Sakhare, D. T. (2022). The effect of the Artificial Intelligence on learning quality & practices in higher education. Journal of Positive School Psychology, 1002-1009.
75. Prasad, V., Dangi, A. K., Tripathi, R., & Kumar, N. (2023). Educational Perspective of Intellectual Property Rights. Russian Law Journal, 11(2S), 257-268.
76. Shreevamshi, D. V. K., Jadhavar, S. S., Vemuri, V. P., & Kumar, A. (2022). Role Of Green HRM in Advocating Pro-Environmental Behavior Among Employees. Journal of Positive School Psychology, 6(2), 3117-3129.