302 citations
- Indian Institute of Science Education and Research MohaliIN212 papers
- Indian Institute of Science Education and Research KolkataIN200 papers
- Indian Institute of Science Education and Research, TirupatiIN191 papers
- Indian Institute of Science Education and Research BerhampurIN190 papers
- Rutherford Appleton LaboratoryGB184 papers
- Texas A&M UniversityUS184 papers
- Panjab UniversityIN183 papers
- Purdue University West LafayetteUS183 papers
- Tsinghua UniversityCN183 papers
- Wayne State UniversityUS183 papers
- Eötvös Loránd UniversityHU182 papers
- Mitchell InstituteUS182 papers
667 papers
Why most neutron star low-mass X-ray binaries accrete transiently: an evolutionary study of transient and persistent phases
Divyansh Tripathi, Sudip Bhattacharyya, Pulkit Ojha
A neutron star (NS) low-mass X-ray binary (LMXB), in which an NS accretes matter from a low-mass donor star, is an ideal source for probing some fundamental aspects of physics and…
Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds
Deepika Saxena, Hari Mohan Gaur, Ashutosh Kumar Singh +1
Accurate workload prediction and proactive resource reservation are crucial for industry clouds. However, the conventional machine learning (CML) models with limited learning capab…
REE-TM: Reliable and Energy-Efficient Traffic Management Model for Diverse Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Volker Lindenstruth
Diversity of workload demands lays a critical impact on efficient resource allocation and management of cloud services. The existing literature has either weakly considered or over…
An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management
Deepika Saxena, Ashutosh Kumar Singh
This article proposed a novel industry cloud resource management framework that exploits resource oversubscription and heterogeneous service pricing models to maximize profitabilit…
Syntax Element Encryption for H.265/HEVC Using Chaotic Map-Based Coefficient Scrambling Scheme
Liang-Wei Li, Chung-Nan Lee, Kishu Gupta +2
In today's digital landscape, high-efficiency video coding (H.265/HEVC) has emerged as the most widely used video coding standard, employing selective encryption schemes to protect…
Neighbor-embedded Graph Neural Network-based Crowd Delivery Traffic Management in Smart City
Kishu Gupta, Deepika Saxena, Ashutosh Kumar Singh +1
The significant upsurge in vehicle traffic presents a considerable challenge in the pursuit of smart mobilization and transportation (SMT) worldwide. Current approaches primarily f…