Abhishek Yadav - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 26 from 26

2025

Multi-Object Detection Through Meta-Training in Resource-Constrained UAV-Based Surveillance ApplicationsAbhishek Yadav, Vyom Kumar Gupta, Kethireddy Harshith Reddy, Masahiro Fujita, Binod Kumar 0001. vlsid 2025: 278-283 [doi]

2024

Imparting Adaptiveness and Resilience to Parcel Delivery Networks: A Digital Twin Centric Simulation Based ApproachSouvik Barat, Abhishek Yadav, Himabindu Thogaru, Vinay Kulkarni, Kaustav Bhattacharya. wsc 2024: 2999-3010 [doi]

Digital Twin as an Aid for Optimizing Climacteric Fruit Supply ChainsSouvik Barat, Parijat Deshpande, Abhishek Yadav, Aditya A. Paranjape, Vinay Kulkarni, Beena Rai, Harshil Ketan Vora, Sakshi Kumar, Ishan Pahare, Pratik Mittal, Mayank Bansal, Vijay Sai. annsim 2024: 1-14 [doi]

MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at HyperscaleArnab Choudhury, Yang Wang 0009, Tuomas Pelkonen, Kutta Srinivasan, Abha Jain, Shenghao Lin, Delia David, Siavash Soleimanifard, Michael Chen, Abhishek Yadav, Ritesh Tijoriwala, Denis Samoylov, Chunqiang Tang. osdi 2024: 563-580 [doi]

LLM-aided Front-End Design Framework For Early Development of Verified RTLsVyom Kumar Gupta, Abhishek Yadav, Masahiro Fujita, Binod Kumar 0001. ats 2024: 1-6 [doi]

Lightweight DL-based Drone Image Classification for Surveillance ApplicationsAbhishek Yadav, Masahiro Fujita, Binod Kumar 0001. isocc 2024: 386-387 [doi]

Harnessing Knowledge-Distillation for Lightweight AI-Implementation on Resource-Constrained DeviceAbhishek Yadav, Vyom Kumar Gupta, Binod Kumar 0001. ifip5-5 2024: 299-302 [doi]

Resource-efficient DL Model Inference with Weight Clustering and Zero-skippingAbhishek Yadav, Masahiro Fujita, Binod Kumar 0001. isocc 2024: 358-359 [doi]

A Reconfigurable Floating-Point Compliant Hardware Architecture for Neural Network ImplementationAbhishek Yadav, Ayush Dixit, Utsav Jana, Binod Kumar 0001. ifip5-5 2024: 104-109 [doi]

A Comparative Study of Time Series, Machine Learning, and Deep Learning Models for Forecasting Global Price of WheatAbhishek Yadav. orf, 5(4):113, December 2024. [doi]

A Gegenbauer polynomial-based numerical technique for a singular integral equation of order four and its application to a crack problemAbhishek Yadav, Amit Setia, Concetta Laurita. amc, 479:128878, 2024. [doi]

Error analysis of a residual-based Galerkin's method for a system of Cauchy singular integral equations with vanishing endpoint conditionsAbhishek Yadav, Amit Setia, M. Thamban Nair. jcam, 436:115365, January 2024. [doi]

2023

An investigation of Malware Detection System using Deep Learning on computing SystemsSatyajee Srivastava, Kommisetti Murthy Raju, Deepak Dudeja Dudeja, Gagandeep Berar, Nazeer Shaik, Abhishek Yadav. icimmi 2023: [doi]

2022

2015

Application of artificial neural network for predicting crack growth direction in multiple cracks geometryDeepayan Gope, Prakash Chandra Gope, Aruna Thakur, Abhishek Yadav. asc, 30:514-528, 2015. [doi]

2007

Artificial Neural Network Type Learning with Single Multiplicative Spiking NeuronDeepak Mishra, Abhishek Yadav, Sudipta Ray, Prem Kumar Kalra. ijcss, 8(1):29-41, 2007. [doi]

Time-series prediction with single integrate-and-fire neuronAbhishek Yadav, Deepak Mishra, R. N. Yadav, Sudipta Ray, Prem Kumar Kalra. asc, 7(3):739-745, 2007. [doi]

2006

Learning with Single Quadratic Integrate-and-Fire NeuronDeepak Mishra, Abhishek Yadav, Prem Kumar Kalra. isnn 2006: 424-429 [doi]

A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and ClassificationDeepak Mishra, Abhishek Yadav, Ashutosh Dwivedi, Prem Kumar Kalra. ijcnn 2006: 396-403 [doi]

2005

2004

Chaotic Behavior in Neural Networks and FitzHugh-Nagumo Neuronal ModelDeepak Mishra, Abhishek Yadav, Prem Kumar Kalra. iconip 2004: 868-873 [doi]

Sign in or sign up to see more results.

runs on WebDSL