GSS Chalapathi
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View article: Macro and micronutrient based soil fertility zonation using fuzzy logic and geospatial techniques
Macro and micronutrient based soil fertility zonation using fuzzy logic and geospatial techniques Open
Modeling the spatial variability and uncertainty of soil fertility parameters is crucial for sustainable agriculture but remains a challenge due to complex interactions between soil properties. Traditional models often assess individual pa…
Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ Open
In this paper, we present the VMSE U-Net and VM-Unet CBAM+ model, two cutting-edge deep learning architectures designed to enhance medical image segmentation. Our approach integrates Squeeze-and-Excitation (SE) and Convolutional Block Atte…
Quantum-Accelerated Feature Selection for Edge-Enabled Perception in Connected and Autonomous Vehicles Open
The growing complexity and volume of traffic and sensory data in Connected and Autonomous Vehicles (CAVs) make it crucial to develop more effective methods for selecting and extracting features from high-dimensional images and videos. This…
Transformers for Vision: A Survey on Innovative Methods for Computer Vision Open
Transformers have emerged as a groundbreaking architecture in the field of computer vision, offering a compelling alternative to traditional convolutional neural networks (CNNs) by enabling the modeling of long-range dependencies and globa…
Enhancing Data Privacy: A Comprehensive Survey of Privacy-Enabling Technologies Open
Privacy is a fundamental human right, especially crucial in our modern digital age. With the rapid advancement of technology, ensuring individuals’ privacy has become increasingly complex. Our survey paper aims to shed light on various pri…
Privacy-Preserving On-Screen Activity Recognition via One-Shot Federated Learning Open
Preserving user privacy while monitoring on-screen activity is a growing challenge in remote and decentralized work environments. In this paper, we propose a novel one-shot federated learning (FL) framework that enables secure, low-overhea…
From Information Overload to Lucidity: A Survey on Leveraging GPTs for Systematic Summarization of Medical and Biomedical Artifacts Open
In medical research, the rapid proliferation of condition-specific studies has led to an information overload, making it challenging for researchers and practitioners to stay abreast of the latest findings. This paper presents a comprehens…
Non-Fungible Tokens (NFTs)—Survey of Current Applications, Evolution, and Future Directions Open
Non-fungible tokens (NFTs) have become an exciting technology that provides a fresh perspective on asset ownership, provenance, and value exchange. NFTs, a blockchain-based technology, are distinct and indivisible cryptographic tokens used…
A survey on computation resource allocation in IoT enabled vehicular edge computing Open
The number of vehicles is increasing at a very high rate throughout the globe. It reached 1 billion in 2010, in 2020 it was around 1.5 billion and experts say this could reach up to 2–2.5 billion by 2050. A large part of these vehicles wil…
Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions Open
With rapid technological advancements within the domain of Internet of Things (IoT), strong trends have emerged which indicate a rapid growth in the number of smart devices connected to IoT networks and this growth cannot be supported by t…