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ORCIDSatvik Vats
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2020 – today
- 2025
[j7]Parveen Dhoundiyal, Vikrant Sharma
, Satvik Vats, Priyanshu Rawat:
A Progressive Hierarchical Model for Plant Disease Diagnosis. SN Comput. Sci. 6(2) (2025)- [j6]Preeti Chaudhary, Satvik Vats, Vikrant Sharma:
Performance Insights of Convolutional Neural Networks Operating on Distributed Computing Platforms. SN Comput. Sci. 6(4): 371 (2025) - 2024
- [j5]Satvik Vats, Vikrant Sharma, Karan Singh, Anvesha Katti, Mazeyanti M. Ariffin, Mohammad Nazir Ahmad, Ali Ahmadian, Soheil Salahshour:
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images. Expert Syst. Appl. 238(Part E): 122129 (2024) - [j4]Satvik Vats, Vikrant Sharma, Karan Singh, Devesh Pratap Singh, Mohd Yazid Bajuri, David Taniar, Nisreen Innab, Abir Mouldi, Ali Ahmadian:
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images. Expert Syst. Appl. 255: 124464 (2024) - [j3]Vinay Kukreja, Tejinder Pal Singh Brar, Satvik Vats, Ankit Bansal, Rishabh Sharma:
Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events. SN Comput. Sci. 5(7): 958 (2024) - [j2]Abhishek Rana, Priyanshu Rawat, Satvik Vats, Vikrant Sharma:
Heatmap-Based Deep Learning Model for Network Attacks Classification. SN Comput. Sci. 5(8): 1113 (2024) - [c47]Vandana Ahuja, Satvik Vats, Rishabh Sharma:
Pre-trained InceptionV3 for Efficient Tuberculosis Detection. ICCCNT 2024: 1-5 - [c46]Himani Bhatia, Satvik Vats, Rishabh Sharma:
Advanced Skin Disease Classification with VGG19, YOLOv3, and MobileNet. ICCCNT 2024: 1-5 - [c45]Shardha Purohit, Rusha Mudgal, Satvik Vats, Pooja Rana, Owais Ahmad Shah, Aditya Verma:
Analyzing the Impact of Social Media Usage on Mental Health: A Machine Learning Approach. ICCCNT 2024: 1-6 - [c44]Md. Aamir Sohail, Kunwar Babar Ali, Satvik Vats, Akhilesh Pandey, Aditya Verma:
Machine Learning Prediction Model for Heart Disease Data Based on Feature Engineering. ICCCNT 2024: 1-6 - [c43]Prince Sood, Satvik Vats, Vandana Ahuja, Rishabh Sharma:
A Combined Deep Learning Approach for Pusa Gourd Classification in India. ICCCNT 2024: 1-5 - [c42]Rupesh Kumar Tipu, Owais Ahmad Shah, Satvik Vats, Taslima Ahmed, Prashant Singh, Aditya Verma:
Prediction of Flexural Strength for Coconut Shell Embedded Concrete using Machine Learning Technique. ICCCNT 2024: 1-5 - [c41]Rupesh Kumar Tipu, Owais Ahmad Shah, Satvik Vats, Arjit Tomar, Md. Aamir Sohail, Aditya Verma:
Predicting Concrete Flow Using Advanced Machine Learning Techniques: Insights and Applications. ICCCNT 2024: 1-5 - [c40]Satvik Vats, Rajeev Kumar Chauhan, Shiva Mehta:
Innovative Approaches for Action Detection: Leveraging CNN-RF in Cricket Umpire for a Gesture Recognition. ICCCNT 2024: 1-5 - [c39]Satvik Vats, Rajeev Kumar Chauhan, Shiva Mehta:
Evaluating the Efficacy of CNN-RF Models in Gym Chest Exercise Detection. ICCCNT 2024: 1-6 - [c38]Satvik Vats, Harpreet Kour, Ruchika Aggarwal, Navneet Katoch, Rishabh Sharma:
Unveiling Diversity: CNN-LSTM Model for Indian Asparagus Types UC 157, Mary Washington and Jersey Giant. ICCCNT 2024: 1-5 - [c37]Satvik Vats, Harpreet Kour, Ruchika Aggarwal, Navneet Katoch, Rishabh Sharma, R. D. Gomathi:
CNN-SVM Fusion: A Robust Method for Emotion Detection in Faces. ICCCNT 2024: 1-5 - [c36]Satvik Vats, Shiva Mehta:
Revolutionizing Archaeological Discoveries: The Role of Artificial Intelligence and Machine Learning in Site Analysis. ICCCNT 2024: 1-5 - [c35]Satvik Vats, Shiva Mehta:
Manuscript Mastery: Leveraging CNN-SVM Fusion for Handwriting Recognition. ICCCNT 2024: 1-6 - [c34]Satvik Vats, Shiva Mehta:
Advances in Yoga Training Tools: A CNN-RF Based Pose Identification System. ICCCNT 2024: 1-6 - [c33]Satvik Vats, Shiva Mehta:
Game-Changing Insights: Harnessing CNN-SVM for Hockey Umpire Action Analysis. ICCCNT 2024: 1-6 - [c32]Satvik Vats, Shiva Mehta:
Neural Scriptology: Delineating Handwritten Script Recognition Through CNN-LSTM Modeling. ICCCNT 2024: 1-6 - [c31]Satvik Vats, Shiva Mehta:
Rallying Innovations: CNN-SVM Frameworks for Badminton Shot Recognition. ICCCNT 2024: 1-6 - [c30]Satvik Vats, Shiva Mehta:
Machine Intelligence at the Crease: A Quintuple-Class CNN-LSTM Model for Umpire Gesture Recognition. ICCCNT 2024: 1-6 - [c29]Satvik Vats, Shiva Mehta:
Towards Enhanced Gym Safety and Efficiency: CNN-LSTM Models for Identifying Leg Builder Workouts. ICCCNT 2024: 1-6 - [c28]Satvik Vats, Shiva Mehta:
AI-Driven Dermatology: CNN-RF Hybrid Model for Skin Lesion's Disease Classification. ICCCNT 2024: 1-5 - [c27]Satvik Vats, Shiva Mehta, Ankur Srivastava:
Technological Innovations and Their Impact on Urban Sustainability: Case Studies from Smart Cities. ICCCNT 2024: 1-5 - [c26]Satvik Vats, Shiva Mehta, Choudhary Ravi Singh:
Enhancing Data Security in Internet of Vehicular Things (IoVT) through Blockchain-based Solutions. ICCCNT 2024: 1-5 - [c25]Satvik Vats, Rishabh Sharma:
Distinctive Zucchini Classification in India: Leveraging CNN and RNN Models. ICCCNT 2024: 1-5 - [c24]Satvik Vats, Rishabh Sharma:
Discerning India's Garlic Tapestry: Yamuna Safed, G-41 and G-282 Classification using CNN and SVM. ICCCNT 2024: 1-5 - [c23]Satvik Vats, Rishabh Sharma:
Deciphering Indian Peppermint Classes: CNN and Decision Trees Fusion. ICCCNT 2024: 1-6 - [c22]Satvik Vats, Rishabh Sharma:
Cultivar Discrimination: CNN and Genetic Algorithms for Classifying Different Varieties of Ginger Plants. ICCCNT 2024: 1-5 - [c21]Satvik Vats, Choudhary Ravi Singh, Shiva Mehta:
Next-Generation Diagnostic Tools: The Role of Hybrid CNN-Transformer Models in Liver Cancer Detection. ICCCNT 2024: 1-5 - [c20]Satvik Vats, Suryakant Shastri, Shiva Mehta:
Federated Learning for SMS Spam Detection: A Privacy-Focused Approach. ICCCNT 2024: 1-5 - [c19]Pooja Verma, Satvik Vats, Rishabh Sharma:
Indian French Bean Varieties: CNN vs. Decision Trees Model Analysis. ICCCNT 2024: 1-5 - 2023
- [c18]Lipsa Das, Bhanu Prakash Lohani, Satvik Vats, Ananya Vishnoi, Ajay Rana, Divya Singh:
Exploring the Mind-Bending Connection Between Virtual Reality and Human Perception: Review. IC3I 2023: 267-275 - [c17]Rishabh Aryan, Ruchika Bathla, Satvik Vats, Ginni Arora:
Cloud Cryptography: A Cutting-Edge Method to Protect Your Cloud. IC3I 2023: 332-336 - [c16]Gayatri Sakya, Monika Malik, Satvik Vats, Yogesh Rathor, Adhiraj Gangwar, Prajwal Srivastava:
Design of a Microstrip Circular Patch Antenna at 2.4 GHz Using HFSS for IoT Application. IC3I 2023: 1232-1237 - [c15]Ankit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats:
Sustainable PRS: A hybrid DL-based parcel recognition approach. ICCCNT 2023: 1-5 - [c14]Nikhil Dhawan, Vinay Kukreja, Rishabh Sharma, Satvik Vats, Aditya Verma:
Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. ICCCNT 2023: 1-5 - [c13]Varun Jindal, Anuj Kumar Jain, Vinay Kukreja, Raj Gaurang Tiwari, Satvik Vats, Rishabh Sharma:
Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. ICCCNT 2023: 1-5 - [c12]Vinay Kukreja, Rishabh Sharma, Satvik Vats, Manika Manwal:
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. ICCCNT 2023: 1-6 - [c11]Manish Mahajan, Rishabh Sharma, Amandeep Singh, Vinay Kukreja, Satvik Vats:
Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. ICCCNT 2023: 1-6 - [c10]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks. ICCCNT 2023: 1-6 - [c9]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis. ICCCNT 2023: 1-6 - [c8]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN. ICCCNT 2023: 1-6 - [c7]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification. ICCCNT 2023: 1-6 - [c6]Shiva Mehta, Vinay Kukreja, Satvik Vats:
Uncovering New Possibilities for Rice Agriculture: A CNN-SVM Model for Accurate Identification of Severity in Bacterial Brown Spot Rice Leaf's Disease. ICCCNT 2023: 1-6 - [c5]Shiva Mehta, Vinay Kukreja, Satvik Vats, Manika Manwal:
Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs. ICCCNT 2023: 1-6 - [c4]Shiva Mehta, Vinay Kukreja, Satvik Vats, Aditya Verma:
A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN. ICCCNT 2023: 1-6 - [c3]Rishabh Sharma, Vinay Kukreja, Satvik Vats:
Smart logistics multi-classification system using CNN and LSTM. ICCCNT 2023: 1-4 - [c2]Amandeep Singh, Sweety Sehgal, Manish Mahajan, Vinay Kukreja, Rishabh Sharma, Satvik Vats:
FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. ICCCNT 2023: 1-5 - [c1]Parth Parmar, Jekil Gadhiya, Satvik Vats, Deepak Kumar Verma, Krunal Vaghela:
A Review of DNA Cryptography: From a Data Protection Perspective. SIN 2023: 1-7 - 2020
- [j1]Satvik Vats, Bharat Bhushan Sagar, Karan Singh, Ali Ahmadian, Bruno Antonio Pansera:
Performance Evaluation of an Independent Time Optimized Infrastructure for Big Data Analytics that Maintains Symmetry. Symmetry 12(8): 1274 (2020)
Coauthor Index
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last updated on 2025-09-27 03:45 CEST by the dblp team
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