Samenvatting
In the subject of computer vision, one of the most significant problems to investigate is human pose estimation. In today's world, there is a greater emphasis on automation, and we use surveillance and cameras to record everything that happens in our immediate environment or surroundings. The computer has a difficult time determining their stances for the purpose of the analytic process. Pose estimation is the process of anticipating the positions of the body parts or joints. Utilizations may include video monitoring, assisted living, advanced driver assistance systems, and sports analysis, among other potential applications. Because of their adaptability, humans are able to modify their stances regularly. An unsupervised machine learning approach known as a Generative Adversarial Network (GAN) is utilised by us in order to conduct an analysis of the postures assumed by human movement. With proper training, a GAN may be taught to produce images from random noises. The GAN is comprised of a generator and a discriminator. The generator is responsible for producing fake samples by utilising sounds, while the discriminator is responsible for attempting to differentiate between fake and real images. A basic input is used to generate a complex output, which is the goal of the GAN algorithm.
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Chakrabarti P., Choudhury A., Naik N. , Bhunia C.T., “Key generation in the light of mining and fuzzy rule”, International Journal of Computer Science and Network Security, 8(9), pp.332-337, 2008.
Chakrabarti P., De S.K., Sikdar S.C., “Statistical Quantification of Gain Analysis in Strategic Management” , International Journal of Computer Science and Network Security,9(11), pp.315-318, 2009.
Chakrabarti P. , Basu J.K. , Kim T.H., “Business Planning in the light of Neuro-fuzzy and Predictive Forecasting”, Communications in Computer and Information Science , 123, pp.283-290, 2010.
Prasad A. , Chakrabarti P., “Extending Access Management to maintain audit logs in cloud computing", International Journal of Advanced Computer Science and Applications ,5(3),pp.144-147, 2014.
Sharma A.K., Panwar A., Chakrabarti P. ,Viswakarma S., “Categorization of ICMR Using Feature Extraction Strategy and MIR with Ensemble Learning”, Procedia Computer Science, 57,pp.686-694,2015.
Patidar H. , Chakrabarti P., “A Novel Edge Cover based Graph Coloring Algorithm”, International Journal of Advanced Computer Science and Applications , 8(5),pp.279-286,2017.
Patidar H., Chakrabarti P., Ghosh A., “Parallel Computing Aspects in Improved Edge Cover based Graph Coloring Algorithm”, Indian Journal of Science and Technology ,10(25),pp.1-9,2017.
Tiwari M., Chakrabarti P, Chakrabarti T., “Novel work of diagnosis in liver cancer using Tree classifier on liver cancer dataset ( BUPA liver disorder )” , Communications in Computer and Information Science , 837, pp.155-160, 2018.
Verma K., Srivastava P. , Chakrabarti P., “Exploring structure oriented feature tag weighting algorithm for web documents identification”, Communications in Computer and Information Science ,837, pp.169-180, 2018.
Tiwari M., Chakrabarti P , Chakrabarti T., “Performance analysis and error evaluation towards the liver cancer diagnosis using lazy classifiers for ILPD”, Communications in Computer and Information Science , 837, pp.161-168,2018.
Patidar H. , Chakrabarti P., “A Tree-based Graphs Coloring Algorithm Using Independent Set”, Advances in Intelligent Systems and Computing, 714, pp. 537-546, 2019.
Chakrabarti P., Satpathy B., Bane S., Chakrabarti T., Chaudhuri N.S. , Siano P., “Business forecasting in the light of statistical approaches and machine learning classifiers”, Communications in Computer and Information Science , 1045, pp.13-21, 2019.
Shah K., Laxkar P. , Chakrabarti P., “A hypothesis on ideal Artificial Intelligence and associated wrong implications”, Advances in Intelligent Systems and Computing, 989, pp.283-294, 2020.
Kothi N., Laxkar P. Jain A. , Chakrabarti P., “Ledger based sorting algorithm”, Advances in Intelligent Systems and Computing, 989, pp. 37-46, 2020.
Chakrabarti P. ,Chakrabarti T., Sharma M . , Atre D, Pai K.B., “Quantification of Thought Analysis of Alcohol-addicted persons and memory loss of patients suffering from stage-4 liver cancer”, Advances in Intelligent Systems and Computing, 1053, pp.1099-1105, 2020.
Chakrabarti P., Bane S.,Satpathy B.,Goh M, Datta B N , Chakrabarti T., “Compound Poisson Process and its Applications in Business”, Lecture Notes in Electrical Engineering, 601, pp.678-685,2020.
Chakrabarti P., Chakrabarti T., Satpathy B., SenGupta I . Ware J A., “Analysis of strategic market management in the light of stochastic processes, recurrence relation, Abelian group and expectation”, Advances in Artificial Intelligence and Data Engineering, 1133 , pp.701-710, 2020.
Priyadarshi N., Bhoi A.K., Sharma A.K., Mallick P.K. , Chakrabarti P., “An efficient fuzzy logic control-based soft computing technique for grid-tied photovoltaic system”, Advances in Intelligent Systems and Computing, 1040,pp.131-140,2020.
Priyadarshi N., Bhoi A.K., Sahana S.K., Mallick P.K. , Chakrabarti P., Performance enhancement using novel soft computing AFLC approach for PV power system”, Advances in Intelligent Systems and Computing, 1040, pp.439-448,2020.
Magare A., Lamin M., Chakrabarti P., “Inherent Mapping Analysis of Agile Development Methodology through Design Thinking”, Lecture Notes on Data Engineering and Communications Engineering, 52, pp.527-534,2020.
Prince, Ananda Shankar Hati , Prasun Chakrabarti , Jemal Hussein , Ng Wee Keong , "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network" , Neural Computing and Applications , 33 : 8659 , 2021.
Chakrabarti P., Bhuyan B., Chaudhuri A. and Bhunia C.T., “A novel approach towards realizing optimum data transfer and Automatic Variable Key(AVK)” , International Journal of Computer Science and Network Security, 8(5), pp.241-250, 2008.
Tak, A. (2022). Big Data Analytics in Healthcare: Transforming Information into Actionable Insights. Journal of Health Statistics Reports, 1(3), 1-6.
Tak, A. (2023). The Role of Cloud Computing in Modernizing Healthcare IT Infrastructure. Journal of Artificial Intelligence & Cloud Computing, 2(2), 1–7.
Tak, A., & Sundararajan, V. (2023, December 2). Pervasive Technologies and Social Inclusion in Modern Healthcare: Bridging the Digital Divide. FMDB Transactions on Sustainable Health Science Letters, 1(3), 118-129.
S. Mandvikar, “Factors to Consider When Selecting a Large Language Model: A Comparative Analysis,” International Journal of Intelligent Automation and Computing, vol. 6, no. 3, pp. 37–40, 2023.
S. Mandvikar, “Augmenting intelligent document processing (IDP) workflows with contemporary large language models (LLMs),” International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 80–91, 2023.
R. Boina, A. Achanta, and S. Mandvikar, “Integrating data engineering with intelligent process automation for business efficiency,” International Journal of Science and Research, vol. 12, no. 11, pp. 1736–1740, 2023.
S. Mandvikar and A. Achanta, “Process automation 2.0 with generative AI framework,” Int. J. Sci. Res. (Raipur), vol. 12, no. 10, pp. 1614–1619, 2023.
Mandvikar, S. (2023). Indexing robotic process automation products. International Journal of Computer Trends and Technology, 71(8), 52–56.
Praveen Barmavatu, Mihir Kumar Das, Rathod Subhash, Banoth Sravanthi, Radhamanohar Aepuru, R Venkat reddy, Yalagandala akshay kumar "Designing an Effective Plate Fin Heat Exchanger and Prediction of Thermal Performance Operated Under Different Water Blends Using Machine Learning", Journal of Thermal Sciences and Engineering Applications, ASME Publications, Vol-15/issue-4/pp: 041001-041022, 2023.
Praveen Barmavatu, S A Deshmukh, Mihir Kumar Das, Radhamanohar Aepuru, R Venkat reddy, Banoth Sravanthi “Synthesis and experimental investigation of glass fiber epoxy/saw dust composites for flexural & tensile strength”, Materiale Plastice, vol-59/issue-02/pp:73-81/June 2022.
U.B. Vishwanatha, Y. Dharmendar Reddy, Praveen Barmavatu, B. Shankar Goud “Insights into stretching ratio and velocity slip on MHD rotating flow of Maxwell nanofluid over a stretching sheet: Semi-analytical technique OHAM”, Journal of the Indian Chemical Society, Elsevier Publishers, , Vol-100/issue-3/pp: 100937-10, 2023.
Darapu Kiran Sagar Reddy, Praveen Barmavatu, Mihir Kumar Das, Radhamanohar Aepuru “Mechanical properties evaluation and microstructural analysis study of ceramic-coated IC engine cylinder liner”, Elsevier material today proceedings, Vol-76/Part-3, pp: 518-523, 2023.
Darapu Kiran Sagar Reddy, Praveen Barmavatu, Mihir Kumar Das, Radhamanohar “Aepuru Experimental analysis of coated engine cylinder liners”, AIP Conference Proceedings, ISSN 1551-7616/ Vol 2786/ Paper ID: 030002, 2023.
Sonali Anant Deshmukh, Praveen Barmavatu, Mihir Kumar Das, Bukke Kiran Naik, Radhamanohar Aepuru “Heat Transfer Analysis in Liquid Jet Impingement for Graphene/Water Nano Fluid”, Springer Lecture Notes in Mechanical Engineering (LNME), ICETMIE-2022, pp: 1079–1090.
Barmavatu Praveen, Madan mohan reddy Nune, Yalagandala akshay kumar, Rathod Subhash, “Investigating the Effect of Minimum Quantity Lubrication on Surface Finish of EN 47 Steel Material”, Elsevier material today proceedings, Vol-38/Part-05, pp-32-53-3257,
Yalagandala akshay kumar, Shaik shafee, Barmavatu Praveen “Experimental investigation of residual stresses in a die casted alluminium fly wheel” Elsevier material today proceedings /vol19/issue-Part-02/pp: A10-A18/October2019, Impact Factor- 2.59. Barmavatu Praveen & s chakradhar goud “fabrication of compact heat exchanger with composite alloys” International journal of innovative technology and exploring engineering /vol-8/issue-6s4/pp:717-721/april 2019.
Barmavatu Praveen, Yalagandala Akshay Kumar, Banoth Sravanthi, H. Ameresh “Methodological Investigation on recycling of Plastic Polymers-A Review” International journal of scientific & technological research 2277-8616/vol-9/issue-03/pp:1537-1542/march 2020.
Barmavatu Praveen & s chakradhar goud “CFD approach for different fluids varients in compact heat exchanger at different parametric conditions” International journal of scientific & technological research, /vol-8/issue-12/pp:2288-2296/december2019.
M. Akbar, I. Ahmad, M. Mirza, M. Ali, and P. Barmavatu, “Enhanced authentication for de-duplication of big data on cloud storage system using machine learning approach,” Cluster Comput., 2023.
M. Farooq and M. Hassan, “IoT smart homes security challenges and solution,” International Journal of Security and Networks, vol. 16, no. 4, p. 235, 2021.
M. Farooq, “Supervised Learning Techniques for Intrusion Detection System Based on Multi-layer Classification Approach,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 3, 2022.
M. Farooq, R. Khan, and M. H. Khan, “Stout Implementation of Firewall and Network Segmentation for Securing IoT Devices,” Indian Journal of Science and Technology, vol. 16, no. 33, pp. 2609–2621, Sep. 2023.
M. Farooq and M. Khan, “Signature-Based Intrusion Detection System in Wireless 6G IoT Networks,” Journal on Internet of Things, vol. 4, no. 3, pp. 155–168, 2023.
M. Farooq, “Artificial Intelligence-Based Approach on Cybersecurity Challenges and Opportunities in The Internet of Things & Edge Computing Devices,” International Journal of Engineering and Computer Science, vol. 12, no. 07, pp. 25763–25768, Jul. 2023.
K. Peddireddy, "Streamlining Enterprise Data Processing, Reporting and Realtime Alerting using Apache Kafka," 2023 11th International Symposium on Digital Forensics and Security (ISDFS), Chattanooga, TN, USA, 2023, pp. 1-4.