1 citations · 3 across the 10 of their papers we have counts for
10 papers
Radar Cross-Section Reduction of the Nozzle of an Airborne Platform Using Lightweight Auxetic Metamaterials
A. Phanendra Kumar, Preeti Kumari, Dineshkumar Harursampath +1
The nozzle of an aircraft is a major source of radar scattering from the rear aspect of the aircraft, which undergoes higher operational temperatures. In order to reduce the radar…
Accelerated Airfoil Design Using Neural Network Approaches
Anantram Patel, Nikhil Mogre, Mandar Mane +2
In this paper, prediction of airfoil shape from targeted pressure distribution (suction and pressure sides) and vice versa is demonstrated using both Convolutional Neural Networks…
Impact of Fasteners on the Radar Cross-Section performance of Radar Absorbing Air Intake Duct
Vijay Kumar Sutrakar, Anjana P K
An aircraft consists of various cavities including air intake ducts, cockpit, radome, inlet and exhaust of heat exchangers, passage for engine bay/other bay cooling etc. These cavi…
Design of Cavity Backed Slotted Antenna using Machine Learning Regression Model
Vijay Kumar Sutrakar, Anjana PK, Rohit Bisariya +2
In this paper, a regression-based machine learning model is used for the design of cavity backed slotted antenna. This type of antenna is commonly used in military and aviation com…
Design of Resistive Frequency Selective Surface based Radar Absorbing Structure-A Deep Learning Approach
Vijay Kumar Sutrakar, Nikhil Morge, Anjana PK +1
In this paper, deep learning-based approach for the design of radar absorbing structure using resistive frequency selective surface is proposed. In the present design, reflection c…
A Machine Learning Approach for Design of Frequency Selective Surface based Radar Absorbing Material via Image Prediction
Vijay Kumar Sutrakar, Anjana P K, Sajal Kesharwani +1
The paper presents an innovative methodology for designing frequency selective surface (FSS) based radar absorbing materials using machine learning (ML) technique. In conventional…
Machine Learning Framework for Early Power, Performance, and Area Estimation of RTL
Anindita Chattopadhyay, Vijay Kumar Sutrakar
A critical stage in the evolving landscape of VLSI design is the design phase that is transformed into register-transfer level (RTL), which specifies system functionality through h…
Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media
Anantram Patel, Vijay Kumar Sutrakar
Traditional Graph Neural Network (GNN) approaches for fake news detection (FND) often depend on auxiliary, non-textual data such as user interaction histories or content disseminat…
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets
Vijay Kumar Sutrakar, Nikhil Mogre
In this paper, an improved clustering technique for large textual datasets by leveraging fine-tuned word embeddings is presented. WEClustering technique is used as the base model.…
Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique
Anindita Chattopadhyay, Siddharth Bisariya, Vijay Kumar Sutrakar
In the evolving landscape of integrated circuit design, detecting Hardware Trojans (HTs) within a multi entity based design cycle presents significant challenges. This research pro…