Abhishek Verma

Orcid: 0000-0001-6687-4809

According to our database1, Abhishek Verma authored at least 98 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT.
Future Gener. Comput. Syst., 2024

Deep Learning and Game Theory for AI-Enabled Human-Robot Collaboration System Design in Industry 4.0.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023
CRA-RPL: A Novel Lightweight challenge-Response authentication-based technique for securing RPL against dropped DAO attacks.
Comput. Secur., September, 2023

A data analytic-based logistics modelling framework for E-commerce enterprise.
Enterp. Inf. Syst., June, 2023

QSec-RPL: Detection of version number attacks in RPL based mobile IoT using Q-Learning.
Ad Hoc Networks, April, 2023

Low-rank GAT: toward robust quantification of neighborhood influence.
Neural Comput. Appl., February, 2023

HyDroid: android malware detection using network flow combined with permissions and intent filter.
Int. J. Mob. Commun., 2023

Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review.
CoRR, 2023

Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks.
CoRR, 2023

Performance evaluation of mobile RPL-based IoT networks under version number attack.
Comput. Commun., 2023

A Defense Solution to Secure Low-Power and Lossy Networks Against DAO Insider Attacks.
Proceedings of the IEEE Region 10 Conference, 2023

A Lightweight Mitigation Approach for Addressing DDAO Attacks in RPL-based Internet of Things.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case.
Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

Optimize Path Planning for Drone-based Wireless Power Transfer System by Categorized Reinforcement Learning.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Sentiment Analysis with Novel GRU based Deep Learning Networks.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Automatic Recognition of Emotions in Speech With Large Self-Supervised Learning Transformer Models.
Proceedings of the IEEE International Conference on Artificial Intelligence, 2023

A Lightweight Security Solution for Mitigation of Hatchetman Attack in RPL-based 6LoWPAN.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2023

2022
A source location privacy preservation scheme in WSN-assisted IoT network by randomized ring and confounding transmission.
Wirel. Networks, 2022

Machine Learning Models for Customer Churn Risk Prediction.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Wireless Sensor Network Using IOT Security: Architecture, Challenges and Proposed Model.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

Implementing Collaborative Online International Learning (COIL) in Regular Engineering Coursework.
Proceedings of the IEEE Frontiers in Education Conference, 2022

2021
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things.
Computing, 2021

Disease and pest infection detection in coconut tree through deep learning techniques.
Comput. Electron. Agric., 2021

Thematic analysis of reflective peer feedback in programming-heavy engineering courses.
Proceedings of the IEEE Frontiers in Education Conference, 2021

Predictive Analytics of Donors in crowdfunding platforms: A case study on Donorschoose.org.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2020
Machine Learning Based Intrusion Detection Systems for IoT Applications.
Wirel. Pers. Commun., 2020

CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis.
Telecommun. Syst., 2020

Interpreting SVM for medical images using Quadtree.
Multim. Tools Appl., 2020

New colour fusion deep learning model for large-scale action recognition.
Int. J. Comput. Vis. Robotics, 2020

Large-scale scene image categorisation with deep learning-based model.
Int. J. Comput. Vis. Robotics, 2020

Improved big data stock index prediction using deep learning with CNN and GRU.
Int. J. Big Data Intell., 2020

Mitigation of DIS flooding attacks in RPL-based 6LoWPAN networks.
Trans. Emerg. Telecommun. Technol., 2020

Addressing Copycat Attacks in IPv6-Based Low Power and Lossy Networks.
Proceedings of the Intelligent Computing, 2020

Design of Tunnel Junction Engineered Dopingless TFET for Low power Applications.
Proceedings of the 3rd International Symposium on Devices, Circuits and Systems, 2020

Performance analysis of Pocket Doped Junction-Less TFET.
Proceedings of the 3rd International Symposium on Devices, Circuits and Systems, 2020

2019
Evaluation of Network Intrusion Detection Systems for RPL Based 6LoWPAN Networks in IoT.
Wirel. Pers. Commun., 2019

Residual-CNDS for Grand Challenge Scene Dataset.
CoRR, 2019

Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications.
CoRR, 2019

Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering.
Comput. Ind. Eng., 2019

Novel Hash-Based Radix Sorting Algorithm.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Machine Learning Pipeline for Fraud Detection and Prevention in E-Commerce Transactions.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Addressing Flooding Attacks in IPv6-based Low Power and Lossy Networks.
Proceedings of the TENCON 2019, 2019

Modified Convolutional Neural Network Architecture Analysis for Facial Emotion Recognition.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2019

FIND: Fake Information and News Detections using Deep Learning.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

Comparison of Deep Reinforcement Learning Approaches for Intelligent Game Playing.
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction.
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

2018
Intelligent plankton image classification with deep learning.
Int. J. Comput. Vis. Robotics, 2018

New Compact Deep Learning Model for Skin Cancer Recognition.
Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis.
Proceedings of the 2018 IEEE International Conference on Research in Intelligent and Computing in Engineering, 2018

Compressed residual-VGG16 CNN model for big data places image recognition.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

Learning to Clean: A GAN Perspective.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017
Human Learning of Unknown Environments in Agile Guidance Tasks.
CoRR, 2017

The Compressed Model of Residual CNDS.
CoRR, 2017

Residual Squeeze VGG16.
CoRR, 2017

Emergent patterns in agent-environment interactions and their roles in supporting agile spatial skills.
Annu. Rev. Control., 2017

Hybrid deep learning ensemble model for improved large-scale car recognition.
Proceedings of the 2017 IEEE SmartWorld, 2017

Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis.
Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

Residual squeeze CNDS deep learning CNN model for very large scale places image recognition.
Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

Abnormality analysis of pcg signal using vmd and mlp neural network.
Proceedings of the 7th International Symposium on Embedded Computing and System Design, 2017

Deep Learning Based Recognition of Meltdown in Autistic Kids.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016
Residual CNDS.
CoRR, 2016

Novel CNN architecture with residual learning and deep supervision for large-scale scene image categorization.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

New Deep Neural Nets for Fine-Grained Diabetic Retinopathy Recognition on Hybrid Color Space.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Fusion Based Deep CNN for Improved Large-Scale Image Action Recognition.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Predicting Job Completion Time in Heterogeneous MapReduce Environments.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Discriminant color texture descriptors for diabetic retinopathy recognition.
Proceedings of the IEEE 12th International Conference on Intelligent Computer Communication and Processing, 2016

Prioritization of Near-Miss Incidents Using Text Mining and Bayesian Network.
Proceedings of the Advances in Computing and Data Sciences, 2016

2015
Investigation of Human First-Person Guidance Strategy from Gaze Tracking Data.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Large-scale cluster management at Google with Borg.
Proceedings of the Tenth European Conference on Computer Systems, 2015

A human-inspired subgoal-based approach to constrained optimal control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Profiling and evaluating hardware choices for MapReduce environments: An application-aware approach.
Perform. Evaluation, 2014

Evaluating job packing in warehouse-scale computing.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
Orchestrating an Ensemble of MapReduce Jobs for Minimizing Their Makespan.
IEEE Trans. Dependable Secur. Comput., 2013

Performance Modeling and Optimization of Deadline-Driven Pig Programs.
ACM Trans. Auton. Adapt. Syst., 2013

Breaking the MapReduce stage barrier.
Clust. Comput., 2013

2012
LBP and Color Descriptors for Image Classification.
Proceedings of the Cross Disciplinary Biometric Systems, 2012

Performance modeling framework for SLO-driven MapReduce environments
PhD thesis, 2012

Iris recognition based on robust iris segmentation and image enhancement.
Int. J. Biom., 2012

Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

Two Sides of a Coin: Optimizing the Schedule of MapReduce Jobs to Minimize Their Makespan and Improve Cluster Performance.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

Automated profiling and resource management of pig programs for meeting service level objectives.
Proceedings of the 9th International Conference on Autonomic Computing, 2012

Meeting service level objectives of Pig programs.
Proceedings of the 2nd International Workshop on Cloud Computing Platforms, 2012

Optimizing Completion Time and Resource Provisioning of Pig Programs.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011
New colour SIFT descriptors for image classification with applications to biometrics.
Int. J. Biom., 2011

Novel EFM-KNN classifier and a new color descriptor for image classification.
Proceedings of the 20th Annual Wireless and Optical Communications Conference, 2011

Group Social Learning in Artificial Bee Colony Optimization Algorithm.
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

Inertia Weight strategies in Particle Swarm Optimization.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Resource Provisioning Framework for MapReduce Jobs with Performance Goals.
Proceedings of the Middleware 2011, 2011

Time Stamp-Based Algorithm for Task Scheduling in a Distributed Computing System with Multiple Master Multiple Slave Architecture.
Proceedings of the 2011 IEEE International Conference on Internet of Things (iThings) & 4th IEEE International Conference on Cyber, 2011

ARIA: automatic resource inference and allocation for mapreduce environments.
Proceedings of the 8th International Conference on Autonomic Computing, 2011

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies.
Proceedings of the 5th International Workshop on Virtualization Technologies in Distributed Computing, 2011

Play It Again, SimMR!
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010
When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

Scaling eCGA model building via data-intensive computing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Scaling Genetic Algorithms Using MapReduce.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture.
Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

2005
An architecture for pluggable disambiguation mechanism for RDC based voice applications.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Reusable Dialog Component Framework for Rapid Voice Application Development.
Proceedings of the Component-Based Software Engineering, 8th International Symposium, 2005


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