Abhishek Srivastava

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2023
ELR-C: A Multi-objective Optimization for Joint Energy and Lifetime Aware Cluster Based Routing for WSN Assisted IoT.
Wirel. Pers. Commun., September, 2023

Conditional hybrid GAN for melody generation from lyrics.
Neural Comput. Appl., February, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023

Coverage hole aware optimal cluster based routing for wireless sensor network assisted IoT using hybrid deep recurrent neural network.
Concurr. Comput. Pract. Exp., 2023

An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A Comprehensive Review on the Application of Internet of Thing (IoT) in Smart Agriculture.
Wirel. Pers. Commun., 2022

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

A New Aggrandized Class Topper Optimization Algorithm to Solve Economic Load Dispatch Problem in a Power System.
IEEE Trans. Cybern., 2022

An adaptive chaotic class topper optimization technique to solve economic load dispatch and emission economic dispatch problem in power system.
Soft Comput., 2022

A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid.
Knowl. Based Syst., 2022

AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for face hallucination.
Image Vis. Comput., 2022

A quantum class topper optimization algorithm to solve combined emission economic dispatch problem.
Evol. Intell., 2022

An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation.
CoRR, 2022

Decision-making framework for identifying regions vulnerable to transmission of COVID-19 pandemic.
Comput. Ind. Eng., 2022

Melody Generation from Lyrics Using Three Branch Conditional LSTM-GAN.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
Conditional LSTM-GAN for Melody Generation from Lyrics.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance.
CoRR, 2021

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation.
CoRR, 2021

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.
CoRR, 2021

BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Automated Polyp Segmentation in Colonoscopy using MSRFNet.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Exploiting Multi-scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem.
Eng. Appl. Artif. Intell., 2020

Conditional Hybrid GAN for Sequence Generation.
CoRR, 2020

Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Understanding Script-Mixing: A Case Study of Hindi-English Bilingual Twitter Users.
Proceedings of the The 4th Workshop on Computational Approaches to Code Switching, 2020

2019
HTS: A Hardware Task Scheduler for Heterogeneous Systems.
CoRR, 2019

A Cloud Performance Analytics Framework to Support Online Performance Diagnosis and Monitoring Tools.
Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

2018
Function Embedding Generation Using Program Dependency Graph Based Neural Network.
PhD thesis, 2018

MLModelScope: Evaluate and Measure ML Models within AI Pipelines.
CoRR, 2018

2016
Gray Sheep, Influential Users, User Modeling and Recommender System Adoption by Startups.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2012
"Spindex" (Speech Index) Enhances Menus on Touch Screen Devices with Tapping, Wheeling, and Flicking.
ACM Trans. Comput. Hum. Interact., 2012

2011
Pattern analysis approach for prediction using Wavelet Neural Networks.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Motif Analysis in the Amazon Product Co-Purchasing Network
CoRR, 2010

2009
Emergency Shutdown Procedure for Applications in Mass Rapid Transit System.
Proceedings of the 2009 International Conference on Embedded Systems & Applications, 2009


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