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Viewing Publication 1 - 54 from 54

2025

Performance Insights of Convolutional Neural Networks Operating on Distributed Computing PlatformsPreeti Chaudhary, Satvik Vats, Vikrant Sharma. sncs, 6(4):371, April 2025. [doi]

A Progressive Hierarchical Model for Plant Disease DiagnosisParveen Dhoundiyal, Vikrant Sharma, Satvik Vats, Priyanshu Rawat. sncs, 6(2), 2025. [doi]

2024

Pre-trained InceptionV3 for Efficient Tuberculosis DetectionVandana Ahuja, Satvik Vats, Rishabh Sharma. icccnt 2024: 1-5 [doi]

Advanced Skin Disease Classification with VGG19, YOLOv3, and MobileNetHimani Bhatia, Satvik Vats, Rishabh Sharma. icccnt 2024: 1-5 [doi]

Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather EventsVinay Kukreja, Tejinder Pal Singh Brar, Satvik Vats, Ankit Bansal, Rishabh Sharma. sncs, 5(7):958, October 2024. [doi]

Analyzing the Impact of Social Media Usage on Mental Health: A Machine Learning ApproachShardha Purohit, Rusha Mudgal, Satvik Vats, Pooja Rana, Owais Ahmad Shah, Aditya Verma. icccnt 2024: 1-6 [doi]

Heatmap-Based Deep Learning Model for Network Attacks ClassificationAbhishek Rana, Priyanshu Rawat, Satvik Vats, Vikrant Sharma. sncs, 5(8):1113, December 2024. [doi]

Machine Learning Prediction Model for Heart Disease Data Based on Feature EngineeringMd. Aamir Sohail, Kunwar Babar Ali, Satvik Vats, Akhilesh Pandey, Aditya Verma. icccnt 2024: 1-6 [doi]

A Combined Deep Learning Approach for Pusa Gourd Classification in IndiaPrince Sood, Satvik Vats, Vandana Ahuja, Rishabh Sharma. icccnt 2024: 1-5 [doi]

Prediction of Flexural Strength for Coconut Shell Embedded Concrete using Machine Learning TechniqueRupesh Kumar Tipu, Owais Ahmad Shah, Satvik Vats, Taslima Ahmed, Prashant Singh, Aditya Verma. icccnt 2024: 1-5 [doi]

Predicting Concrete Flow Using Advanced Machine Learning Techniques: Insights and ApplicationsRupesh Kumar Tipu, Owais Ahmad Shah, Satvik Vats, Arjit Tomar, Md. Aamir Sohail, Aditya Verma. icccnt 2024: 1-5 [doi]

Innovative Approaches for Action Detection: Leveraging CNN-RF in Cricket Umpire for a Gesture RecognitionSatvik Vats, Rajeev Kumar Chauhan, Shiva Mehta. icccnt 2024: 1-5 [doi]

Distinctive Zucchini Classification in India: Leveraging CNN and RNN ModelsSatvik Vats, Rishabh Sharma. icccnt 2024: 1-5 [doi]

Unveiling Diversity: CNN-LSTM Model for Indian Asparagus Types UC 157, Mary Washington and Jersey GiantSatvik Vats, Harpreet Kour, Ruchika Aggarwal, Navneet Katoch, Rishabh Sharma. icccnt 2024: 1-5 [doi]

Revolutionizing Archaeological Discoveries: The Role of Artificial Intelligence and Machine Learning in Site AnalysisSatvik Vats, Shiva Mehta. icccnt 2024: 1-5 [doi]

Advances in Yoga Training Tools: A CNN-RF Based Pose Identification SystemSatvik Vats, Shiva Mehta. icccnt 2024: 1-6 [doi]

Cultivar Discrimination: CNN and Genetic Algorithms for Classifying Different Varieties of Ginger PlantsSatvik Vats, Rishabh Sharma. icccnt 2024: 1-5 [doi]

Federated Learning for SMS Spam Detection: A Privacy-Focused ApproachSatvik Vats, Suryakant Shastri, Shiva Mehta. icccnt 2024: 1-5 [doi]

Technological Innovations and Their Impact on Urban Sustainability: Case Studies from Smart CitiesSatvik Vats, Shiva Mehta, Ankur Srivastava. icccnt 2024: 1-5 [doi]

Manuscript Mastery: Leveraging CNN-SVM Fusion for Handwriting RecognitionSatvik Vats, Shiva Mehta. icccnt 2024: 1-6 [doi]

Rallying Innovations: CNN-SVM Frameworks for Badminton Shot RecognitionSatvik Vats, Shiva Mehta. icccnt 2024: 1-6 [doi]

Towards Enhanced Gym Safety and Efficiency: CNN-LSTM Models for Identifying Leg Builder WorkoutsSatvik Vats, Shiva Mehta. icccnt 2024: 1-6 [doi]

Enhancing Data Security in Internet of Vehicular Things (IoVT) through Blockchain-based SolutionsSatvik Vats, Shiva Mehta, Choudhary Ravi Singh. icccnt 2024: 1-5 [doi]

Neural Scriptology: Delineating Handwritten Script Recognition Through CNN-LSTM ModelingSatvik Vats, Shiva Mehta. icccnt 2024: 1-6 [doi]

Evaluating the Efficacy of CNN-RF Models in Gym Chest Exercise DetectionSatvik Vats, Rajeev Kumar Chauhan, Shiva Mehta. icccnt 2024: 1-6 [doi]

Game-Changing Insights: Harnessing CNN-SVM for Hockey Umpire Action AnalysisSatvik Vats, Shiva Mehta. icccnt 2024: 1-6 [doi]

Deciphering Indian Peppermint Classes: CNN and Decision Trees FusionSatvik Vats, Rishabh Sharma. icccnt 2024: 1-6 [doi]

Next-Generation Diagnostic Tools: The Role of Hybrid CNN-Transformer Models in Liver Cancer DetectionSatvik Vats, Choudhary Ravi Singh, Shiva Mehta. icccnt 2024: 1-5 [doi]

Machine Intelligence at the Crease: A Quintuple-Class CNN-LSTM Model for Umpire Gesture RecognitionSatvik Vats, Shiva Mehta. icccnt 2024: 1-6 [doi]

Discerning India's Garlic Tapestry: Yamuna Safed, G-41 and G-282 Classification using CNN and SVMSatvik Vats, Rishabh Sharma. icccnt 2024: 1-5 [doi]

AI-Driven Dermatology: CNN-RF Hybrid Model for Skin Lesion's Disease ClassificationSatvik Vats, Shiva Mehta. icccnt 2024: 1-5 [doi]

CNN-SVM Fusion: A Robust Method for Emotion Detection in FacesSatvik Vats, Harpreet Kour, Ruchika Aggarwal, Navneet Katoch, Rishabh Sharma, R. D. Gomathi. icccnt 2024: 1-5 [doi]

Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-ImagesSatvik Vats, Vikrant Sharma, Karan Singh, Devesh Pratap Singh, Mohd Yazid Bajuri, David Taniar, Nisreen Innab, Abir Mouldi, Ali Ahmadian. eswa, 255:124464, 2024. [doi]

Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray imagesSatvik Vats, Vikrant Sharma, Karan Singh, Anvesha Katti, Mazeyanti M. Ariffin, Mohammad Nazir Ahmad, Ali Ahmadian, Soheil Salahshour. eswa, 238(Part E):122129, March 2024. [doi]

Indian French Bean Varieties: CNN vs. Decision Trees Model AnalysisPooja Verma, Satvik Vats, Rishabh Sharma. icccnt 2024: 1-5 [doi]

2023

Cloud Cryptography: A Cutting-Edge Method to Protect Your CloudRishabh Aryan, Ruchika Bathla, Satvik Vats, Ginni Arora. ic3i 2023: 332-336 [doi]

Sustainable PRS: A hybrid DL-based parcel recognition approachAnkit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats. icccnt 2023: 1-5 [doi]

Exploring the Mind-Bending Connection Between Virtual Reality and Human Perception: ReviewLipsa Das, Bhanu Prakash Lohani, Satvik Vats, Ananya Vishnoi, Ajay Rana, Divya Singh. ic3i 2023: 267-275 [doi]

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level ClassificationNikhil Dhawan, Vinay Kukreja, Rishabh Sharma, Satvik Vats, Aditya Verma. icccnt 2023: 1-5 [doi]

Hybrid Classification Model using CNN & SVM for Seven Wonders of the WorldVarun Jindal, Anuj Kumar Jain, Vinay Kukreja, Raj Gaurang Tiwari, Satvik Vats, Rishabh Sharma. icccnt 2023: 1-5 [doi]

DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid ModelVinay Kukreja, Rishabh Sharma, Satvik Vats, Manika Manwal. icccnt 2023: 1-6 [doi]

Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 ModelManish Mahajan, Rishabh Sharma, Amandeep Singh, Vinay Kukreja, Satvik Vats. icccnt 2023: 1-6 [doi]

A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNNShiva Mehta, Vinay Kukreja, Satvik Vats, Aditya Verma. icccnt 2023: 1-6 [doi]

Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNsShiva Mehta, Vinay Kukreja, Satvik Vats, Manika Manwal. icccnt 2023: 1-6 [doi]

Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural NetworksShiva Mehta, Vinay Kukreja, Satvik Vats. icccnt 2023: 1-6 [doi]

Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease DiagnosisShiva Mehta, Vinay Kukreja, Satvik Vats. icccnt 2023: 1-6 [doi]

Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-ClassificationShiva Mehta, Vinay Kukreja, Satvik Vats. icccnt 2023: 1-6 [doi]

Uncovering New Possibilities for Rice Agriculture: A CNN-SVM Model for Accurate Identification of Severity in Bacterial Brown Spot Rice Leaf's DiseaseShiva Mehta, Vinay Kukreja, Satvik Vats. icccnt 2023: 1-6 [doi]

Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNNShiva Mehta, Vinay Kukreja, Satvik Vats. icccnt 2023: 1-6 [doi]

A Review of DNA Cryptography: From a Data Protection PerspectiveParth Parmar, Jekil Gadhiya, Satvik Vats, Deepak Kumar Verma, Krunal Vaghela. sin 2023: 1-7 [doi]

Design of a Microstrip Circular Patch Antenna at 2.4 GHz Using HFSS for IoT ApplicationGayatri Sakya, Monika Malik, Satvik Vats, Yogesh Rathor, Adhiraj Gangwar, Prajwal Srivastava. ic3i 2023: 1232-1237 [doi]

Smart logistics multi-classification system using CNN and LSTMRishabh Sharma, Vinay Kukreja, Satvik Vats. icccnt 2023: 1-4 [doi]

FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity LevelsAmandeep Singh, Sweety Sehgal, Manish Mahajan, Vinay Kukreja, Rishabh Sharma, Satvik Vats. icccnt 2023: 1-5 [doi]

2020

Performance Evaluation of an Independent Time Optimized Infrastructure for Big Data Analytics that Maintains SymmetrySatvik Vats, Bharat Bhushan Sagar, Karan Singh, Ali Ahmadian, Bruno Antonio Pansera. symmetry, 12(8):1274, 2020. [doi]

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