1 citations · 2 across the 11 of their papers we have counts for
11 papers
Adaptive, Efficient and Fair Resource Allocation in Cloud Datacenters leveraging Weighted A3C Deep Reinforcement Learning
Suchi Kumari, Dhruv Mishra
Cloud data centres demand adaptive, efficient, and fair resource allocation techniques due to heterogeneous workloads with varying priorities. However, most existing approaches str…
Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces
Preeti Mehta, Aman Sagar, Suchi Kumari
This study aims to address the growing challenge of distinguishing computer-generated imagery (CGI) from authentic digital images across three different color spaces; RGB, YCbCr, a…
Impact of Distance on Epidemiological Dynamics in Human Connection Network with Mobility
Md. Arquam, Suchi Kumari, Utkarsh Tiwari +1
The spread of infectious diseases is often influenced by human mobility across different geographical regions. Although numerous studies have investigated how diseases like SARS an…
Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach
Raveena Prasad, Aarush Roy, Suchi Kumari
Assigning tasks efficiently in cloud computing is a challenging problem and is considered an NP-hard problem. Many researchers have used metaheuristic algorithms to solve it, but t…
Integrating Deep Feature Extraction and Hybrid ResNet-DenseNet Model for Multi-Class Abnormality Detection in Endoscopic Images
Aman Sagar, Preeti Mehta, Monika Shrivastva +1
This paper presents a deep learning framework for the multi-class classification of gastrointestinal abnormalities in Video Capsule Endoscopy (VCE) frames. The aim is to automate t…
Enhancing Image Authenticity Detection: Swin Transformers and Color Frame Analysis for CGI vs. Real Images
Preeti Mehta, Aman Sagar, Suchi Kumari
The rapid advancements in computer graphics have greatly enhanced the quality of computer-generated images (CGI), making them increasingly indistinguishable from authentic images c…
Swin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis
Preetu Mehta, Aman Sagar, Suchi Kumari
\textbf{Purpose} This study aims to address the growing challenge of distinguishing computer-generated imagery (CGI) from authentic digital images in the RGB color space. Given the…
Maximization of Communication Network Throughput using Dynamic Traffic Allocation Scheme
Md. Arquam, Suchi Kumari
Optimizing network throughput in real-world dynamic systems is critical, especially for diverse and delay-sensitive multimedia data types such as VoIP and video streaming. Traditio…
Statistical Analysis of the Properties of Geometric Network with Node Mobility
Md. Arquam, Utkarsh Tiwari, Suchi Kumari
The movement changes the underlying spatial representation of the participated mobile objects or nodes. In real world scenario, such mobile nodes can be part of any biological netw…
Enhancing Eye Disease Diagnosis with Deep Learning and Synthetic Data Augmentation
Saideep Kilaru, Kothamasu Jayachandra, Tanishka Yagneshwar +1
In recent years, the focus is on improving the diagnosis of diabetic retinopathy (DR) using machine learning and deep learning technologies. Researchers have explored various appro…
Domain Generalized Recaptured Screen Image Identification Using SWIN Transformer
Preeti Mehta, Aman Sagar, Suchi Kumari
An increasing number of classification approaches have been developed to address the issue of image rebroadcast and recapturing, a standard attack strategy in insurance frauds, fac…