Ketan Kotecha

Orcid: 0000-0003-2653-3780

According to our database1, Ketan Kotecha authored at least 197 papers between 2002 and 2025.

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

Timeline

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Bibliography

2025
Deep Learning-Driven Analysis of a Six-Bar Mechanism for Personalized Gait Rehabilitation.
J. Comput. Inf. Sci. Eng., 2025

Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning.
Biomed. Signal Process. Control., 2025

2024
Exploring AI-driven approaches for unstructured document analysis and future horizons.
J. Big Data, December, 2024

Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions.
J. Big Data, December, 2024

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions.
J. Big Data, December, 2024

Federated Learning Enhanced MLP-LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction.
Int. J. Comput. Intell. Syst., December, 2024

Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning.
Int. J. Comput. Intell. Syst., December, 2024

A-XAI: adversarial machine learning for trustable explainability.
AI Ethics, November, 2024

Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis.
IEEE Trans. Comput. Soc. Syst., August, 2024

Understanding the Performance of AI Algorithms in Text-Based Emotion Detection for Conversational Agents.
ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2024

Sustainable Electronics: A Blockchain-Empowered Digital Twin-Based Governance System for Consumer Electronic Products.
IEEE Trans. Consumer Electron., May, 2024

Knowledge-based Data Processing for Multilingual Natural Language Analysis.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2024

Analytics of deep model-based spatiotemporal and spatial feature learning methods for surgical action classification.
Multim. Tools Appl., May, 2024

Empirical evaluation of filter pruning methods for acceleration of convolutional neural network.
Multim. Tools Appl., May, 2024

An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model.
Multim. Tools Appl., April, 2024

A Systematic Review of Stemmers of Indian and Non-Indian Vernacular Languages.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2024

Tear film breakup time-based dry eye disease detection using convolutional neural network.
Neural Comput. Appl., January, 2024

Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions.
Trans. Emerg. Telecommun. Technol., January, 2024

Securing Industrial Control Systems From Cyber-Attacks: A Stacked Neural-Network-Based Approach.
IEEE Consumer Electron. Mag., January, 2024

Corrigendum to "ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models" [Robotics and Autonomous Systems Volume 157, November 2022, 104234].
Robotics Auton. Syst., 2024

Deep Learning Framework for Liver Tumor Segmentation.
EAI Endorsed Trans. Pervasive Health Technol., 2024

A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents.
PeerJ Comput. Sci., 2024

Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models.
Multim. Tools Appl., 2024

Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation.
Knowl. Based Syst., 2024

Multimodal image fusion for the detection of diabetic retinopathy using optimized explainable AI-based Light GBM classifier.
Inf. Fusion, 2024

Towards robust automated math problem solving: a survey of statistical and deep learning approaches.
Evol. Intell., 2024

Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review.
Eng. Appl. Artif. Intell., 2024

Enhancement of tool life using magneto-rheological fluid damping and tool wear prediction through deep learning model in milling.
Eng. Appl. Artif. Intell., 2024

An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System.
IEEE Access, 2024

Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems.
IEEE Access, 2024

Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE.
IEEE Access, 2024

Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era.
Proceedings of the Cognitive Models and Artificial Intelligence Conference, 2024

Analysis of Enhanced Hidden Markov Models for Improved Stock Market Price Forecasting and Prediction.
Proceedings of the Cognitive Models and Artificial Intelligence Conference, 2024

A Novel End-to-End Framework for Story Generation Using Deep Neural Networks.
Proceedings of the Cognitive Models and Artificial Intelligence Conference, 2024

An End-to-End Framework for Multi-Docs Chatbot using Llama2.
Proceedings of the Cognitive Models and Artificial Intelligence Conference, 2024

Traffic Light Detection for Self-Driving Cars using the YOLOv8 architecture.
Proceedings of the Cognitive Models and Artificial Intelligence Conference, 2024

2023
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions.
Brain Informatics, December, 2023

A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection.
Artif. Intell. Rev., December, 2023

Enhanced lung image segmentation using deep learning.
Neural Comput. Appl., November, 2023

Reinforcement learning for predictive maintenance: a systematic technical review.
Artif. Intell. Rev., November, 2023

Integrative gene expression analysis for the diagnosis of Parkinson's disease using machine learning and explainable AI.
Comput. Biol. Medicine, September, 2023

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes.
Inf. Fusion, July, 2023

Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment.
Int. J. Mach. Learn. Cybern., June, 2023

A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion.
Artif. Intell. Rev., May, 2023

Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks.
Soft Comput., April, 2023

Recop: fine-grained opinions and sentiments-based recommender system for industry 5.0.
Soft Comput., April, 2023

Blockchain-based trust mechanism for digital twin empowered Industrial Internet of Things.
Future Gener. Comput. Syst., April, 2023

IoT-Driven Artificial Intelligence Technique for Fertilizer Recommendation Model.
IEEE Consumer Electron. Mag., March, 2023

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions.
Big Data Cogn. Comput., March, 2023

Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification.
Big Data Cogn. Comput., March, 2023

Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.
Sensors, 2023

An enhanced whale optimization algorithm for clustering.
Multim. Tools Appl., 2023

Context-aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment.
Int. J. Pervasive Comput. Commun., 2023

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research.
Eng. Appl. Artif. Intell., 2023

Employing Multimodal Machine Learning for Stress Detection.
CoRR, 2023

Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy.
CoRR, 2023

A Novel Multicriteria Optimization Technique for VLSI Floorplanning Based on Hybridized Firefly and Ant Colony Systems.
IEEE Access, 2023

Domain Adaptation: Challenges, Methods, Datasets, and Applications.
IEEE Access, 2023

Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review.
IEEE Access, 2023

Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson's Disease Based on Spiral and Wave Drawings.
IEEE Access, 2023

Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions.
IEEE Access, 2023

Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing.
IEEE Access, 2023

Explainable Misinformation Detection Across Multiple Social Media Platforms.
IEEE Access, 2023

Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research.
IEEE Access, 2023

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture.
IEEE Access, 2023

An Improved Boykov's Graph Cut-Based Segmentation Technique for the Efficient Detection of Cervical Cancer.
IEEE Access, 2023

Coverage Area Maximization Using MOFAC-GA-PSO Hybrid Algorithm in Energy Efficient WSN Design.
IEEE Access, 2023

A Review of Diagnostic Strategies for Pulmonary Embolism Prediction in Computed Tomography Pulmonary Angiograms.
IEEE Access, 2023

Failure Detection Using Semantic Analysis and Attention-Based Classifier Model for IT Infrastructure Log Data.
IEEE Access, 2023

A Generalized Multiobjective Reliability Redundancy Allocation With Uncertainties.
IEEE Access, 2023

A Secure Big Data Storage Framework Based on Blockchain Consensus Mechanism With Flexible Finality.
IEEE Access, 2023

A Decentralized Resource Allocation in Edge Computing for Secure IoT Environments.
IEEE Access, 2023

A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models.
Proceedings of the Joint Proceedings of the Second International Workshop on Knowledge Graph Generation From Text and the First International BiKE Challenge co-located with 20th Extended Semantic Conference (ESWC 2023), 2023

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Comparative Study of DWT and DCT Along with AES Techniques for Safety Transmission of Digital Bank Cheque Image.
Proceedings of the Computing Science, Communication and Security, 2023

Econometrics and Manufacturing Industries Retail Volumes Forecast.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022
How Well Do Self-Supervised Models Transfer to Medical Imaging?
J. Imaging, December, 2022

SDPTool : A tool for creating datasets and software defect predictions.
SoftwareX, 2022

Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI.
Sensors, 2022

Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data.
Sensors, 2022

ECG Data Analysis with Denoising Approach and Customized CNNs.
Sensors, 2022

A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling.
Sensors, 2022

Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents.
Robotics, 2022

ICACIA: An Intelligent Context-Aware framework for COBOT in defense industry using ontological and deep learning models.
Robotics Auton. Syst., 2022

Spatial and temporal features unified self-supervised representation learning networks.
Robotics Auton. Syst., 2022

Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity.
Multim. Tools Appl., 2022

Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence.
J. Sens. Actuator Networks, 2022

Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation.
J. Sens. Actuator Networks, 2022

An Efficient Gait Abnormality Detection Method Based on Classification.
J. Sens. Actuator Networks, 2022

Reversible data hiding scheme using deep learning and visual cryptography for medical image communication.
J. Electronic Imaging, 2022

Optimized hybrid RNN model for human activity recognition in untrimmed video.
J. Electronic Imaging, 2022

Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets.
Image Vis. Comput., 2022

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions.
Inf. Fusion, 2022

Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection.
Int. J. Pervasive Comput. Commun., 2022

A Systematic Literature Review on Applications of GAN-Synthesized Images for Brain MRI.
Future Internet, 2022

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools.
Eng. Appl. Artif. Intell., 2022

MultimodalGasData: Multimodal Dataset for Gas Detection and Classification.
Data, 2022

A Review on Text-Based Emotion Detection - Techniques, Applications, Datasets, and Future Directions.
CoRR, 2022

In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles.
CoRR, 2022

Explainable Misinformation Detection Across Multiple Social Media Platforms.
CoRR, 2022

A comprehensive survey on computational learning methods for analysis of gene expression data in genomics.
CoRR, 2022

Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting.
Comput. Biol. Medicine, 2022

Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis.
Big Data Cogn. Comput., 2022

An Efficient Multi-Scale Anchor Box Approach to Detect Partial Faces from a Video Sequence.
Big Data Cogn. Comput., 2022

Deep Learning Approaches for Video Compression: A Bibliometric Analysis.
Big Data Cogn. Comput., 2022

A Systematic Literature Review on Diabetic Retinopathy Using an Artificial Intelligence Approach.
Big Data Cogn. Comput., 2022

Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemic.
Appl. Soft Comput., 2022

Short Text Classification with Tolerance-Based Soft Computing Method.
Algorithms, 2022

PRMS: Design and Development of Patients' E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms.
IEEE Access, 2022

Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT.
IEEE Access, 2022

Intelligent IoT Wind Emulation System Based on Real-Time Data Fetching Approach.
IEEE Access, 2022

Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions.
IEEE Access, 2022

Detecting Extremism on Twitter During U.S. Capitol Riot Using Deep Learning Techniques.
IEEE Access, 2022

CD-SemMF: Cross-Domain Semantic Relatedness Based Matrix Factorization Model Enabled With Linked Open Data for User Cold Start Issue.
IEEE Access, 2022

Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation.
IEEE Access, 2022

Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques.
IEEE Access, 2022

Using Genetic Algorithm in Inner Product to Resist Modular Exponentiation From Higher Order DPA Attacks.
IEEE Access, 2022

Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm.
IEEE Access, 2022

Prediction of Network Traffic in Wireless Mesh Networks Using Hybrid Deep Learning Model.
IEEE Access, 2022

A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions.
IEEE Access, 2022

AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions.
IEEE Access, 2022

Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms.
IEEE Access, 2022

Multi-Ideology Multi-Class Extremism Classification Using Deep Learning Techniques.
IEEE Access, 2022

Levelized Multiple Workflow Allocation Strategy Under Precedence Constraints With Task Merging in IaaS Cloud Environment.
IEEE Access, 2022

Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care.
Appl. Artif. Intell., 2022

RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
A Novel Algorithm for Capacitated Vehicle Routing Problem for Smart Cities.
Symmetry, 2021

Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation.
Sensors, 2021

Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications.
Sensors, 2021

Enhanced Network Intrusion Detection System.
Sensors, 2021

Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease.
PeerJ Comput. Sci., 2021

Incremental learning of LSTM framework for sensor fusion in attitude estimation.
PeerJ Comput. Sci., 2021

Harvesting social media sentiment analysis to enhance stock market prediction using deep learning.
PeerJ Comput. Sci., 2021

Stance detection with BERT embeddings for credibility analysis of information on social media.
PeerJ Comput. Sci., 2021

Explainable stock prices prediction from financial news articles using sentiment analysis.
PeerJ Comput. Sci., 2021

Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing.
PeerJ Comput. Sci., 2021

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species.
PeerJ Comput. Sci., 2021

Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning.
J. Digit. Imaging, 2021

SPECIAL ISSUE EDITORIAL: Next Generation ICTs - How distant is ubiquitous computing?
J. Inf. Technol. Constr., 2021

Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study.
Inf. Syst. Frontiers, 2021

Development and deployment of a generative model-based framework for text to photorealistic image generation.
Neurocomputing, 2021

An Efficient Deep Convolutional Neural Network Approach for Object Detection and Recognition Using a Multi-Scale Anchor Box in Real-Time.
Future Internet, 2021

Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing.
Data, 2021

Multi-Ideology ISIS/Jihadist White Supremacist (MIWS) Dataset for Multi-Class Extremism Text Classification.
Data, 2021

Multi-Layout Invoice Document Dataset (MIDD): A Dataset for Named Entity Recognition.
Data, 2021

Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media.
CoRR, 2021

Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions.
Comput. Intell. Neurosci., 2021

Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study.
Comput. Hum. Behav., 2021

AI Based Emotion Detection for Textual Big Data: Techniques and Contribution.
Big Data Cogn. Comput., 2021

Improving the Robustness of AI-Based Malware Detection Using Adversarial Machine Learning.
Algorithms, 2021

Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information.
IEEE Access, 2021

Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI.
IEEE Access, 2021

Neural Style Transfer: A Critical Review.
IEEE Access, 2021

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions.
IEEE Access, 2021

Corrections to "Artificial Perception of the Beverages: An In-Depth Review of the Tea Sample".
IEEE Access, 2021

Artificial Perception of the Beverages: An In-Depth Review of the Tea Sample.
IEEE Access, 2021

Behavior Prediction of Traffic Actors for Intelligent Vehicle Using Artificial Intelligence Techniques: A Review.
IEEE Access, 2021

Detection and Localization of Multiple Image Splicing Using MobileNet V1.
IEEE Access, 2021

A Review on Explainability in Multimodal Deep Neural Nets.
IEEE Access, 2021

A Novel AI-Based System for Detection and Severity Prediction of Dementia Using MRI.
IEEE Access, 2021

ADMT: Advanced Driver's Movement Tracking System Using Spatio-Temporal Interest Points and Maneuver Anticipation Using Deep Neural Networks.
IEEE Access, 2021

Online Extremism Detection: A Systematic Literature Review With Emphasis on Datasets, Classification Techniques, Validation Methods, and Tools.
IEEE Access, 2021

A Deep Learning Model Based on BERT and Sentence Transformer for Semantic Keyphrase Extraction on Big Social Data.
IEEE Access, 2021

A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions.
IEEE Access, 2021

IT Infrastructure Anomaly Detection and Failure Handling: A Systematic Literature Review Focusing on Datasets, Log Preprocessing, Machine & Deep Learning Approaches and Automated Tool.
IEEE Access, 2021

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions.
IEEE Access, 2021

Multi-Layout Unstructured Invoice Documents Dataset: A Dataset for Template-Free Invoice Processing and Its Evaluation Using AI Approaches.
IEEE Access, 2021

Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Data augmentation using MG-GAN for improved cancer classification on gene expression data.
Soft Comput., 2020

Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living.
Sensors, 2020

2019
Early anticipation of driver's maneuver in semiautonomous vehicles using deep learning.
Prog. Artif. Intell., 2019

Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update.
Expert Syst. Appl., 2019

2015
Predicting stock market index using fusion of machine learning techniques.
Expert Syst. Appl., 2015

Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques.
Expert Syst. Appl., 2015

A new Bollinger Band based energy efficient routing for clustered wireless sensor network.
Appl. Soft Comput., 2015

2013
Parallelized ACO based Routing for Stagnation Mitigation and Avoidance of Multimedia Traffic Over MANETs.
Int. J. Appl. Evol. Comput., 2013

Performance of Vehicle-to-Vehicle Communication using IEEE 802.11p in Vehicular Ad-hoc Network Environment
CoRR, 2013

Simulation-Based Performance Evaluation of Routing Protocols in Vehicular Ad-hoc Network.
CoRR, 2013

2011
ACO Based Dynamic Scheduling Algorithm for Real-Time Multiprocessor Systems.
Int. J. Grid High Perform. Comput., 2011

2010
Dynamic scheduling for real-time distributed systems using ant colony optimization.
Int. J. Intell. Comput. Cybern., 2010

Non-Repudiation in Ad Hoc Networks.
Proceedings of the Communication and Networking, 2010

Trust Based Routing in Ad Hoc Network.
Proceedings of the Communication and Networking, 2010

Routing in Ad Hoc Network Using Ant Colony Optimization.
Proceedings of the Communication and Networking, 2010

2009
Performance Comparision of Ant Colony Algorithm and Approximate Algorithm for Reporting Cell Problem Under Total Signaling Cost.
Proceedings of the 2009 International Conference on Wireless Networks, 2009

2008
Efficient Dynamic Scheduling Algorithms for Real-Time Multiprocessor Systems.
Proceedings of the International Conference on High Performance Computing, 2008

Adaptive scheduling algorithm for real-time operating system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Ant Colony Optimization based Dynamic Scheduling Algorithm for Real-Time Operating Systems.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2008

2007
ISTAR Ant Colony System - A New Approach of Solution of TSP Based on Ant Colony System Algorithm.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

Multi objective genetic algorithm based adaptive QoS routing in MANET.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
An Improved Interval Global Optimization Algorithm Using Higher-order Inclusion Function Forms.
J. Glob. Optim., 2005

2004
Global Optimization with Higher Order Inclusion Function Forms Part 1: A Combined Taylor-Bernstein Form.
Reliab. Comput., 2004

Genetic Algorithm for Airline Crew Scheduling Problem Using Cost-Based Uniform Crossover.
Proceedings of the Applied Computing, Second Asian Applied Computing Conference, 2004

2003
Higher Order Convergence for Multidimensional Functions with a New Taylor-Bernstein Form as Inclusion Function.
Reliab. Comput., 2003

A Hybrid Genetic Algorithm for Minimum Vertex Cover Problem.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

2002
An Algorithm for Global Optimization using the Taylor-Bernstein Form as Inclusion Function.
J. Glob. Optim., 2002


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