Performance Evaluation of an Independent Time Optimized Infrastructure for Big Data Analytics that Maintains Symmetry. - Satvik Vats; Bharat Bhushan Sagar; Karan Singh; Ali Ahmadian; Bruno Antonio Pansera (Symmetry, 2020)

Cloud Cryptography: A Cutting-Edge Method to Protect Your Cloud. - Rishabh Aryan; Ruchika Bathla; Satvik Vats; Ginni Arora (IC3I, 2023)

Exploring the Mind-Bending Connection Between Virtual Reality and Human Perception: Review. - Lipsa Das; Bhanu Prakash Lohani; Satvik Vats; Ananya Vishnoi; Ajay Rana; Divya Singh (IC3I, 2023)

Design of a Microstrip Circular Patch Antenna at 2.4 GHz Using HFSS for IoT Application. - Gayatri Sakya; Monika Malik; Satvik Vats; Yogesh Rathor; Adhiraj Gangwar; Prajwal Srivastava (IC3I, 2023)

Sustainable PRS: A hybrid DL-based parcel recognition approach. - Ankit Bansal; Rishabh Sharma; Vinay Kukreja; Amitoj Singh; Satvik Vats (ICCCNT, 2023)

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. - Nikhil Dhawan; Vinay Kukreja; Rishabh Sharma; Satvik Vats; Aditya Verma (ICCCNT, 2023)

Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. - Varun Jindal; Anuj Kumar Jain; Vinay Kukreja; Raj Gaurang Tiwari; Satvik Vats; Rishabh Sharma (ICCCNT, 2023)

DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. - Vinay Kukreja; Rishabh Sharma; Satvik Vats; Manika Manwal (ICCCNT, 2023)

Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. - Manish Mahajan; Rishabh Sharma; Amandeep Singh; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Uncovering New Possibilities for Rice Agriculture: A CNN-SVM Model for Accurate Identification of Severity in Bacterial Brown Spot Rice Leaf's Disease. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs. - Shiva Mehta; Vinay Kukreja; Satvik Vats; Manika Manwal (ICCCNT, 2023)

A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN. - Shiva Mehta; Vinay Kukreja; Satvik Vats; Aditya Verma (ICCCNT, 2023)

Smart logistics multi-classification system using CNN and LSTM. - Rishabh Sharma; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. - Amandeep Singh; Sweety Sehgal; Manish Mahajan; Vinay Kukreja; Rishabh Sharma; Satvik Vats (ICCCNT, 2023)

A Review of DNA Cryptography: From a Data Protection Perspective. - Parth Parmar; Jekil Gadhiya; Satvik Vats; Deepak Kumar Verma; Krunal Vaghela (SIN, 2023)

Pre-trained InceptionV3 for Efficient Tuberculosis Detection. - Vandana Ahuja; Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Advanced Skin Disease Classification with VGG19, YOLOv3, and MobileNet. - Himani Bhatia; Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Analyzing the Impact of Social Media Usage on Mental Health: A Machine Learning Approach. - Shardha Purohit; Rusha Mudgal; Satvik Vats; Pooja Rana; Owais Ahmad Shah; Aditya Verma (ICCCNT, 2024)

Machine Learning Prediction Model for Heart Disease Data Based on Feature Engineering. - Md. Aamir Sohail; Kunwar Babar Ali; Satvik Vats; Akhilesh Pandey; Aditya Verma (ICCCNT, 2024)

A Combined Deep Learning Approach for Pusa Gourd Classification in India. - Prince Sood; Satvik Vats; Vandana Ahuja; Rishabh Sharma (ICCCNT, 2024)

Prediction of Flexural Strength for Coconut Shell Embedded Concrete using Machine Learning Technique. - Rupesh Kumar Tipu; Owais Ahmad Shah; Satvik Vats; Taslima Ahmed; Prashant Singh; Aditya Verma (ICCCNT, 2024)

Predicting Concrete Flow Using Advanced Machine Learning Techniques: Insights and Applications. - Rupesh Kumar Tipu; Owais Ahmad Shah; Satvik Vats; Arjit Tomar; Md. Aamir Sohail; Aditya Verma (ICCCNT, 2024)

Innovative Approaches for Action Detection: Leveraging CNN-RF in Cricket Umpire for a Gesture Recognition. - Satvik Vats; Rajeev Kumar Chauhan; Shiva Mehta (ICCCNT, 2024)

Evaluating the Efficacy of CNN-RF Models in Gym Chest Exercise Detection. - Satvik Vats; Rajeev Kumar Chauhan; Shiva Mehta (ICCCNT, 2024)

Unveiling Diversity: CNN-LSTM Model for Indian Asparagus Types UC 157, Mary Washington and Jersey Giant. - Satvik Vats; Harpreet Kour; Ruchika Aggarwal; Navneet Katoch; Rishabh Sharma (ICCCNT, 2024)

CNN-SVM Fusion: A Robust Method for Emotion Detection in Faces. - Satvik Vats; Harpreet Kour; Ruchika Aggarwal; Navneet Katoch; Rishabh Sharma; R. D. Gomathi (ICCCNT, 2024)

Revolutionizing Archaeological Discoveries: The Role of Artificial Intelligence and Machine Learning in Site Analysis. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Manuscript Mastery: Leveraging CNN-SVM Fusion for Handwriting Recognition. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Advances in Yoga Training Tools: A CNN-RF Based Pose Identification System. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Game-Changing Insights: Harnessing CNN-SVM for Hockey Umpire Action Analysis. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Neural Scriptology: Delineating Handwritten Script Recognition Through CNN-LSTM Modeling. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Rallying Innovations: CNN-SVM Frameworks for Badminton Shot Recognition. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Machine Intelligence at the Crease: A Quintuple-Class CNN-LSTM Model for Umpire Gesture Recognition. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Towards Enhanced Gym Safety and Efficiency: CNN-LSTM Models for Identifying Leg Builder Workouts. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

AI-Driven Dermatology: CNN-RF Hybrid Model for Skin Lesion's Disease Classification. - Satvik Vats; Shiva Mehta (ICCCNT, 2024)

Technological Innovations and Their Impact on Urban Sustainability: Case Studies from Smart Cities. - Satvik Vats; Shiva Mehta; Ankur Srivastava (ICCCNT, 2024)

Enhancing Data Security in Internet of Vehicular Things (IoVT) through Blockchain-based Solutions. - Satvik Vats; Shiva Mehta; Choudhary Ravi Singh (ICCCNT, 2024)

Distinctive Zucchini Classification in India: Leveraging CNN and RNN Models. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Discerning India's Garlic Tapestry: Yamuna Safed, G-41 and G-282 Classification using CNN and SVM. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Deciphering Indian Peppermint Classes: CNN and Decision Trees Fusion. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Cultivar Discrimination: CNN and Genetic Algorithms for Classifying Different Varieties of Ginger Plants. - Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Next-Generation Diagnostic Tools: The Role of Hybrid CNN-Transformer Models in Liver Cancer Detection. - Satvik Vats; Choudhary Ravi Singh; Shiva Mehta (ICCCNT, 2024)

Federated Learning for SMS Spam Detection: A Privacy-Focused Approach. - Satvik Vats; Suryakant Shastri; Shiva Mehta (ICCCNT, 2024)

Indian French Bean Varieties: CNN vs. Decision Trees Model Analysis. - Pooja Verma; Satvik Vats; Rishabh Sharma (ICCCNT, 2024)

Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images. - Satvik Vats; Vikrant Sharma; Karan Singh; Devesh Pratap Singh; Mohd Yazid Bajuri; David Taniar; Nisreen Innab; Abir Mouldi; Ali Ahmadian (Expert Syst. Appl., 2024)

Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images. - Satvik Vats; Vikrant Sharma; Karan Singh; Anvesha Katti; Mazeyanti M. Ariffin; Mohammad Nazir Ahmad; Ali Ahmadian; Soheil Salahshour (Expert Syst. Appl., 2024)

Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events. - Vinay Kukreja; Tejinder Pal Singh Brar; Satvik Vats; Ankit Bansal; Rishabh Sharma (SN Comput. Sci., 2024)

Heatmap-Based Deep Learning Model for Network Attacks Classification. - Abhishek Rana; Priyanshu Rawat; Satvik Vats; Vikrant Sharma (SN Comput. Sci., 2024)

A Progressive Hierarchical Model for Plant Disease Diagnosis. - Parveen Dhoundiyal; Vikrant Sharma; Satvik Vats; Priyanshu Rawat (SN Comput. Sci., 2025)

Performance Insights of Convolutional Neural Networks Operating on Distributed Computing Platforms. - Preeti Chaudhary; Satvik Vats; Vikrant Sharma (SN Comput. Sci., 2025)