Satvik Vats

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Disease Diagnosis

Convolutional Neural Networks

Top Venues

Expert Syst. Appl.

Publications

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) (2024)
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 (2024)
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)
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)
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)
Rishabh Aryan, Ruchika Bathla, Satvik Vats, Ginni Arora
Cloud Cryptography: A Cutting-Edge Method to Protect Your Cloud. IC3I (2023)
Shiva Mehta, Vinay Kukreja, Satvik Vats
Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification. ICCCNT (2023)
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)
Parth Parmar, Jekil Gadhiya, Satvik Vats, Deepak Kumar Verma, Krunal Vaghela
A Review of DNA Cryptography: From a Data Protection Perspective. SIN (2023)
Ankit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats
Sustainable PRS: A hybrid DL-based parcel recognition approach. ICCCNT (2023)
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)
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)
Shiva Mehta, Vinay Kukreja, Satvik Vats
Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks. ICCCNT (2023)
Shiva Mehta, Vinay Kukreja, Satvik Vats, Manika Manwal
Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs. ICCCNT (2023)
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)
Shiva Mehta, Vinay Kukreja, Satvik Vats, Aditya Verma
A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN. ICCCNT (2023)
Rishabh Sharma, Vinay Kukreja, Satvik Vats
Smart logistics multi-classification system using CNN and LSTM. ICCCNT (2023)
Shiva Mehta, Vinay Kukreja, Satvik Vats
Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN. ICCCNT (2023)
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)
Shiva Mehta, Vinay Kukreja, Satvik Vats
Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis. ICCCNT (2023)
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) (2020)