Innovative Hybrid Approach for Enhanced Renewable Energy Generation Forecasting Using Recurrent Neural Networks and Generative Adversarial Networks von Narayanan, Sreekumar, Kumar, Rajiv, Ramadass, Sudhir, Ramasamy, Jayaraj

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Retraction Note: Enabling secure and efficient industry 4.0 transformation through trust-authorized anomaly detection in cloud environments with a hybrid AI approach von Prakash, N., Vignesh, J., Ashwin, M., Ramadass, Sudhir, Veeranjaneyulu, N., V. Athawale, Shashikant, Ravuri, Ananda, Subramanian, Balambigai

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RETRACTED ARTICLE: Enabling secure and efficient industry 4.0 transformation through trust-authorized anomaly detection in cloud environments with a hybrid AI approach von Prakash, N., Vignesh, J., Ashwin, M., Ramadass, Sudhir, Veeranjaneyulu, N., Athawale, Shashikant V., Ravuri, Ananda, Subramanian, Balambigai

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Effectiveness of generative adversarial networks in denoising medical imaging (CT/MRI images) von Ramadass, Sudhir, Narayanan, Sreekumar, Kumar, Rajiv, K, Thilagavathi

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Deep learning for material synthesis and pose estimation material systems: A review von Ramasamy, Jayaraj, Pundhir, Sandhya, Narayanan, Sreekumar, Ramadass, Sudhir, Aswin, S., Suresh, Arjun

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A Efficient Content based Image Retrieval System using GMM and Relevance Feedback von Sudhir, Ramadass, Baboo, S Santhosh

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SYSTEM FOR REMOTE MONITORING OF HIGH-RISK PATIENTS USING ARTIFICIAL INTELLIGENCE von R Chithra Devi, Prasanalakshmi Balaji, Dr. Sudhir Ramadass, Dr.Sravanth Kumar R, Dr Ajith Sundaram, Dr.T.Kuntavai, Dr D Nagaraju, Dr.Siva Shankar S, Dr. Chandrashekhar Goswami, Thavavel Vaiyapuri, Dr. N. Prakash

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Combating the COVID-19 pandemic in a resource-constrained setting: insights from initial response in India von Bairwa, Mohan, Behera, Sabyasachi, Chavda, Paragkumar Dhirajlal, Kulkarni, Praveen, Mohapatra, Archisman, Ramraj, Balaji, Shivalli, Siddharudha, Singh, Arvind Kumar, Singh, Manish Kumar, Rohilla, Ravi, Chawla, Bharti, Chawla, Sumit, Wani, Rabbanie Tariq, Agarwalla, Rashmi, Chatterjee, Pranab, Jahagirdar, Shubhashri Sudhiendra, Majhi, Madan Mohan, Salve, Harshal Ramesh, Shukla, Pallavi, Yadav, Kapil, Sathiyamoorthy, Ramadass, Sharma, Nitika, Sarkar, Kaushik, Sahoo, Soumya Swaroop, Verma, Madhur, Ahmad, Shamshad, Kumar, Dewesh, Chatterjee, Anirban, Pamei, Gaihemlung, Solanki, Hariom Kumar, Chakraborty, Shashanka Shekhar, Naik, Gitismita, Kumar, M. Mohan, Aravinda, Chinnadurai, Karir, Shilpa, Panda, Jasmin Nilima, Kshatri, Jaya Singh, Nayak, Smrutiranjan, Patro, Sithun Kumar, Datta, Shib Sekhar, Ghosh, Nilanjana, Roy, Pritam, Dudala, Shankar Reddy, Annadani, Rachana R., Undi, Malatesh, Prabhu, Sudhir, Yatnatti, Santosh K., Pillai, Rakesh N., Stanley, Antony, Konda, Satyanarayana G., Davara, Kajal, Rupani, Mihir Prafulbhai, Mundra, Anuj, Goel, Akhil Dhanesh, Gupta, Manoj Kumar

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DW-MRI Microstructure Model of Models Captured Via Single-Shell Bottleneck Deep Learning von Nath, Vishwesh, Ramadass, Karthik, Schilling, Kurt G., Hansen, Colin B., Fick, Rutger, Pathak, Sudhir K., Anderson, Adam W., Landman, Bennett A.

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