131 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- R. Sankaranarayanan2 profiles14 · h 13
- R. Muthuganesan10 · h 9
- K. Sakkaravarthi8 · h 18
- Venkat Abhignan2 profiles8 · h 4
- V. Ravichandran7 · h 38
- S. Singh6 · h 13
- Ashutosh Kumar Singh2 profiles5 · h 29
- J. Kumar5 · h 18
- K. Murugesan5 · h 24
- Shashank Singh2 profiles5 · h 6
- D. Saxena2 profiles4 · h 29
- M. P. Selvan4 · h 12
- Bharathidasan UniversityIN9 papers
- SASTRA UniversityIN6 papers
- Asia Pacific Center for Theoretical PhysicsKR4 papers
- National Institute of Technology KurukshetraIN4 papers
- Pohang University of Science and TechnologyKR4 papers
- Indian Institute of Science BangaloreIN3 papers
- University of DelhiIN3 papers
- Bhabha Atomic Research CentreIN2 papers
- Bharathiar UniversityIN2 papers
- Homi Bhabha National InstituteIN2 papers
- Indian Institute of Management TiruchirappalliIN2 papers
- Indian Institute of Technology IndoreIN2 papers
116 papers
H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
Chandravardhan Singh Raghaw, Anushka Parwal, Shahid Shafi Dar +2
Knee osteoarthritis (KOA) is a degenerative joint disease that can lead to chronic pain, reduced mobility, and long-term disability. Automated severity grading from knee radiograph…
Self-oscillations induced by self-induced torque in magnetic double tunnel junction
R. Arun, R. Gopal, V. K. Chandrasekar +1
Self-oscillations of the magnetization due to self-induced torque (SIT) in a magnetic double tunnel junction that consists of perpendicularly polarized, pinned and free layers is i…
Ergotropy Dynamics in a Dissipative Graphene Quantum Battery
Disha Verma, Indrajith VS, R. Sankaranarayanan
We investigate ergotropy dynamics in a graphene-based quantum battery modeled as a four-level spin--valley system under different dissipative environments. The battery is charged v…
A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction
Jitendra Kumar, Deepika Saxena, Kishu Gupta +2
Accurate workload prediction and advanced resource reservation are indispensably crucial for managing dynamic cloud services. Traditional neural networks and deep learning models f…
Cascade at local yield strain for silica and metallic glass
Nandlal Pingua, Himani Rautela, Roni Chatterjee +3
We report observations of unusal \emph{first} plastic events in silica and metallic glasses in the shear startup regime at applied strain two orders of magnitude smaller than yield…
Effect of Weak Measurement Reversal on Quantum Correlations in a Correlated Amplitude Damping Channel, with a Neural Network Perspective
Venkat Abhignan, Bidyut Bikash Boruah, R. Srikanth +1
We study the evolution of quantum correlations in Bell, Werner, and maximally entangled mixed states of two qubits subjected to correlated amplitude-damping channels. Our primary f…
Simultaneous global and local clustering in multiplex networks with covariate information
Joshua Corneck, Edward A. K. Cohen, James S. Martin +3
Understanding both global and layer-specific group structures is useful for uncovering complex patterns in networks with multiple interaction types. In this work, we introduce a ne…
pc-COP: An Efficient and Configurable 2048-p-Bit Fully-Connected Probabilistic Computing Accelerator for Combinatorial Optimization
Kiran Magar, Shreya Bharathan, Utsav Banerjee
Probabilistic computing is an emerging quantum-inspired computing paradigm capable of solving combinatorial optimization and various other classes of computationally hard problems.…
Low scale leptogenesis and mixing in neutrinophillic two Higgs doublet model(2HDM) with S4 flavor symmetry
Abhishek, V. Suryanarayana Mummidi
We study a modified version of the Standard Model that includes a scalar doublet and two right-handed neutrinos, forming the neutrinophillic two higgs doublet () fram…
An unusual phase transition in a non-Hermitian Su-Schrieffer-Heeger model
A Niveth, S Karthiga, M Senthilvelan
This article studies a non-Hermitian Su-Schrieffer-Heeger (SSH) model which has periodically staggered Hermitian and non-Hermitian dimers. The changes in topological phases of the…
Characterizations of some rotundity properties in terms of farthest points
Arunachala Prasath C, Vamsinadh Thota
We characterize rotund, uniformly rotund, locally uniformly rotund and compactly locally uniformly rotund spaces in terms of sets of (almost) farthest points from the unit sphere u…
An alternate approach for estimating grain-growth kinetics
Manoj Prabakar, P G Kubendran Amos
Rate of grain growth, which aides in achieving desired properties in polycrystalline materials, is conventionally estimated by measuring the size of grains and tracking its change…
Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts
Prashant Kumar Nag, Amit Bhagat, R. Vishnu Priya +1
This manuscript presents a methodical examination of the utilization of Artificial Intelligence in the assessment of emotions in texts related to healthcare, with a particular focu…
On WUR and its generalizations
P. Gayathri, Vamsinadh Thota
We introduce two notions called weakly uniform rotundity (WUR) and weakly locally uniform rotundity (WLUR) in real Banach spaces. These are natural generalizations…
Analyzing and Comparing Omicron Lineage Variants Protein-Protein Interaction Network using Centrality Measure
Mamata Das, Selvakumar K., P. J. A. Alphonse
The Worldwide spread of the Omicron lineage variants has now been confirmed. It is crucial to understand the process of cellular life and to discover new drugs need to identify the…
Supersymmetry : A decade after Higgs discovery
V. Suryanarayana Mummidi, Priyanka Lamba, Sudhir K. Vempati
Supersymmetric extensions of the Standard Model have been in vogue for over half a century. They have many interesting theoretical properties like calculability, absence of quadrat…
Preserving Data Confidentiality in Association Rule Mining Using Data Share Allocator Algorithm
D. Dhinakaran, P. M. Joe Prathap
These days, investigations of information are becoming essential for various associations all over the globe. By and large, different associations need to perform information exami…
Exploring the Dynamics of Nonlocal Nonlinear Waves: Analytical Insights into the Extended Kadomtsev-Petviashvili Model
K. Sakkaravarthi, Sudhir Singh, N. Karjanto
The study of nonlocal nonlinear systems and their dynamics is a rapidly increasing field of research. In this study, we take a closer look at the extended nonlocal Kadomtsev-Petvia…
A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets
Janamejaya Channegowda, Vageesh Maiya, Chaitanya Lingaraj
Recent surge in the number of Electric Vehicles have created a need to develop inexpensive energy-dense Battery Storage Systems. Many countries across the planet have put in place…
Casimir energy of magnetodielectric -function plates
Venkat Abhignan
To investigate Casimir electromagnetic interaction in bodies, we implement multiple -function plates with electric and magnetic properties. We use their optical properties t…
Extrapolation from hypergeometric functions, continued functions and Borel-Leroy transformation; Resummation of perturbative renormalization functions from field theories
Venkat Abhignan
Physically relevant field-theoretic quantities are usually derived from perturbation techniques. These quantities are solved in the form of an asymptotic series in powers of small…
Effects of intrinsic decoherence on discord-like correlation measures of two-qubit spin squeezing model
Venkat Abhignan, R. Muthuganesan
Quantum decoherence happens when the system interacts with the environment. Quantum correlation behaviours in the two-qubit spin squeezing model are studied under the influence of…
Continued functions and critical exponents: Tools for analytical continuation of divergent expressions in phase transition studies
Venkat Abhignan, R. Sankaranarayanan
Resummation methods using continued functions are implemented to converge divergent series appearing in perturbation problems related to continuous phase transitions in field theor…
Adaptive IQ and IMQ-RBFs for solving Initial Value Problems: Adam-Bashforth and Adam-Moulton methods
Samala Rathan, Deepit Shah, T. Hemanth Kumar +1
In this paper, our objective is primarily to use adaptive inverse-quadratic (IQ) and inverse-multi-quadratic (IMQ) radial basis function (RBF) interpolation techniques to develop a…