125 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Technology GuwahatiIN28 papers
- Indian Institute of Technology DelhiIN2 papers
- Indian Statistical InstituteIN2 papers
- National Sun Yat-sen UniversityTW2 papers
- Aalborg UniversityDK1 paper
- Amazon (United States)US1 paper
- Australian National UniversityAU1 paper
- Birla Institute of Technology and Science - Hyderabad CampusIN1 paper
- Bowling Green State UniversityUS1 paper
- Brookhaven National LaboratoryUS1 paper
- Budker Institute of Nuclear PhysicsRU1 paper
- Cellworks Research (India)IN1 paper
46 papers
Gravitational Waves from Post-Inflationary Magnetism: Direct and Scalar-Induced Contributions
Subhasis Maiti
We study stochastic gravitational waves generated in a post-inflationary magnetogenesis scenario with time-dependent gauge couplings during inflation and reheating. In this setup,…
Inflaton accretion onto primordial black holes during reheating
Jitumani Kalita, Debaprasad Maity
Primordial Black Holes (PBHs) forming prior to Big Bang Nucleosynthesis evolve during the reheating epoch, an environment dominated by an oscillating inflaton field decaying into a…
Cogenesis of visible and dark matter in type-I Dirac seesaw
Debasish Borah, Partha Kumar Paul, Narendra Sahu
We propose a novel cogenesis framework based on the type-I Dirac seesaw mechanism. The minimal type-I Dirac seesaw with three heavy vector-like fermions , one singlet scalar $…
Revisiting PBH accretion, evaporation and their cosmological consequences
Jitumani Kalita, Debaprasad Maity
Primordial black holes (PBHs) provide a unique probe of the early Universe. Their cosmological evolution is governed by the competition between mass accretion and Hawking evaporati…
Towards enhanced mixing of a high viscous miscible blob in porous media
Mijanur Rahaman, Jiten C. Kalita, Satyajit Pramanik
In this study, we investigate the rectilinear displacement and deformation of a highly viscous, miscible circular blob influenced by a less viscous fluid within a homogeneous porou…
Trust@Health: A Trust-Based Multilayered Network for Scalable Healthcare Service Management
Avijit Gayen, Somyajit Chakraborty, Joydeep Chakraborty +1
We study the intricate relationships within healthcare systems, focusing on interactions among doctors, departments, and hospitals. Leveraging an evolutionary graph framework, the…
Handloom Design Generation Using Generative Networks
Rajat Kanti Bhattacharjee, Meghali Nandi, Amrit Jha +2
This paper proposes deep learning techniques of generating designs for clothing, focused on handloom fabric and discusses the associated challenges along with its application. The…
Constraining Reheating Temperature, Inflaton-SM Coupling and Dark Matter Mass in Light of ACT DR6 Observations
Rajesh Mondal, Sourav Mondal, Ayan Chakraborty
We explore the phenomenological implications of the latest Atacama Cosmology Telescope (ACT) DR6 observations, in combination with Planck 2018, BICEP/Keck 2018, and DESI, on the ph…
HindiLLM: Large Language Model for Hindi
Sanjay Chouhan, Shubha Brata Nath, Aparajita Dutta
The advancements in the Large Language Model (LLM) have helped in solving several problems related to language processing. Most of the researches have focused on the English langua…
On semi-transitive orientability of circulant graphs
Eshwar Srinivasan, Ramesh Hariharasubramanian
A graph is said to be word-representable if a word can be formed using the letters of the alphabet such that for every pair of vertices and , …
Minimum length word-representants of graph products
Eshwar Srinivasan, Ramesh Hariharasubramanian
A graph is said to be word-representable if a word can be formed using the letters of the alphabet such that for every pair of vertices and , …
A Novel Technique to Parameterize Congestion Control in 6TiSCH IIoT Networks
Kushal Chakraborty, Aritra Kumar Dutta, Mohammad Avesh Hussain +4
The Industrial Internet of Things (IIoT) refers to the use of interconnected smart devices, sensors, and other technologies to create a network of intelligent systems that can moni…
Convolutional Ensembling based Few-Shot Defect Detection Technique
Soumyajit Karmakar, Abeer Banerjee, Prashant Sadashiv Gidde +2
Over the past few years, there has been a significant improvement in the domain of few-shot learning. This learning paradigm has shown promising results for the challenging problem…
Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation
Ahmed Aqeel Shaikh, Anand Kumar Mukhopadhyay, Soumyajit Poddar +1
Myoelectric pattern recognition is one of the important aspects in the design of the control strategy for various applications including upper-limb prostheses and bio-robotic hand…
Semi-equivelar toroidal maps and their k-edge covers
Arnab Kundu, Dipendu Maity
If the face\mbox{-}cycles at all the vertices in a map are of same type then the map is called semi\mbox{-}equivelar. A tiling is edge-homogeneous if any two edges with vertices of…
Search for the in at near 10.6 GeV at Belle
Belle Collaboration, S. Jia, C. P. Shen +198
For the first time we search for the in at = 10.52, 10.58, and 10.867 GeV with data samples of 89.5 fb, 711 fb, and 121…
Statistical inference for Gumbel Type-II distribution under simple step-stress life test using Type-II censoring
Subhankar Dutta, Farha Sultana, Suchandan Kayal
In this paper, we focus on the parametric inference based on the Tampered Random Variable (TRV) model for simple step-stress life testing (SSLT) using Type-II censored data. The ba…
Multiple Antenna Selection and Successive Signal Detection for SM-based IRS-aided Communication
Hasan Albinsaid, Keshav Singh, Ankur Bansal +3
Intelligent reflecting surface (IRS) is being considered as a prospective candidate for next-generation wireless communication due to its ability to significantly improve coverage…
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
Anugunj Naman, Chetan Sinha, Liliana Mancini
In this paper, we analyze the feasibility of applying few-shot learning to speech emotion recognition task (SER). The current speech emotion recognition models work exceptionally w…
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane +1
Indices quantifying the performance of classifiers under class-imbalance, often suffer from distortions depending on the constitution of the test set or the class-specific classifi…
An Approximate Carry Estimating Simultaneous Adder with Rectification
Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh +2
Approximate computing has in recent times found significant applications towards lowering power, area, and time requirements for arithmetic operations. Several works done in recent…
Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation
Hasan Albinsaid, Keshav Singh, Sudip Biswas +2
Generalized Spatial Modulation (GSM) is being considered for high capacity and energy-efficient networks of the future. However, signal detection due to inter-channel interference…
Data augmentation enhanced speaker enrollment for text-dependent speaker verification
Achintya Kumar Sarkar, Himangshu Sarma, Priyanka Dwivedi +1
Data augmentation is commonly used for generating additional data from the available training data to achieve a robust estimation of the parameters of complex models like the one f…
PowerPlanningDL: Reliability-Aware Framework for On-Chip Power Grid Design using Deep Learning
Sukanta Dey, Sukumar Nandi, Gaurav Trivedi
With the increase in the complexity of chip designs, VLSI physical design has become a time-consuming task, which is an iterative design process. Power planning is that part of the…