Semisupervised Federated Learning for Temporal News Hyperpatism Detection
Published in IEEE Transactions on Computational Social Systems, 2023
Publications
Privacy-Preserving Active Learning on the Internet of 5G Connected Artificial Intelligence of Things
Published in IEEE Internet of Things Magazine, 2022
Active Learning Based Adversary Evasion Attacks Defense for Malwares in the Internet of Things
Published in IEEE Systems Journal, 2022
Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health
Published in Pattern Recognition Letters, 2022
Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things
Published in Wireless Networks, 2022
A Network-Aware Load Balancer by using Feedback Learning
Published in IEEE Consumer Electronics Magazine, 2022
Automatically Temporal Labeled Data Generation Using Positional Lexicon Expansion for Focus Time Estimation of News Articles
Published in ACM Transactions on Asian and Low Resource Language Information Processing, 2022
Knowledge graph based trajectory outlier detection in sustainable smart cities
Published in Sustainable Cities and Society, 2022
Reliable customer analysis using federated learning and exploring deep-attention edge intelligence
Published in Future Generation Computer Systems, 2022
Mental Health Treatments Using an Explainable Adaptive Clustering Model
Published in Advances in Knowledge Discovery and Data Mining Pacific Asia, 2022
EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment
Published in Future Generation Computer Systems, 2022
Deep Explainable Hate Speech Active Learning on Social-Media Data
Published in IEEE Transactions on Computational Social Systems, 2022
A ML-based resource utilization OpenCL GPU-kernel fusion model
Published in Sustainable Computing Informatics and Systems, 2022
Heterogeneous Energy-aware Load Balancing for Industry 4.0 and IoT Environments
Published in ACM Transactions on Management Information Systems TMIS, 2022
Mitigating adversarial evasion attacks of ransomware using ensemble learning
Published in Computers and Electrical Engineering, 2022
Deep Fuzzy Contrast-Set Deviation Point Representation and Trajectory Detection
Published in IEEE Transactions on Fuzzy Systems, 2022
Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment
Published in Transactions on Asian and Low Resource Language Information Processing, 2022
Temporal positional lexicon expansion for federated learning based on hyperpatism detection
Published in Expert Systems, 2022
Hyper-Graph Attention Based Federated Learning Method For Mental Health Detection
Published in IEEE Journal of Biomedical and Health Informatics, 2022
An Explainable Mental Health Fuzzy Deep Active Learning Technique
Published in IEEE International Conference on Fuzzy Systems FUZZ IEEE, 2022
A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors
Published in Computer Communications, 2022
Feedback Learning in Software-Defined Mobile Network for Resource Aware Load Balancing Under Fault Tolerance Conditions
Published in IEEE Instrumentation Measurement Magazine, 2022
Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT
Published in ACM Transactions on Sensor Networks TOSN, 2022
Explainable Deep Attention Active Learning for Sentimental Analytics of Mental Disorder
Published in Transactions on Asian and Low Resource Language Information Processing, 2022
Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption
Published in IEEE Journal of Biomedical and Health Informatics, 2022
Graph Attention Network for Text Classification and Detection of Mental Disorder
Published in ACM Transactions on the Web, 2022
Social Media Multiaspect Detection by Using Unsupervised Deep Active Attention
Published in IEEE Transactions on Computational Social Systems, 2022
Sequence-Driven Analytics and Prediction
Published in Proceedings of the ACM International Conference on Information, 2022
Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things
Published in IEEE Transactions on Industrial Informatics, 2022
Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks
Published in IEEE Transactions on Intelligent Transportation Systems, 2022
Adversarial Ensemble Modeling for Evasion Attack Detection
Published in Joint International Conference on Soft Computing and Intelligent, 2022
FusionCL: a machine-learning based approach for OpenCL kernel fusion to increase system performance
Published in Computing, 2021
Privacy Preservation of Periodic Frequent Patterns Using Sensitive Inverse Frequency
Published in Periodic Pattern Mining Theory Algorithms and Applications, 2021
Generative Ensemble Learning for Mitigating Adversarial Malware Detection in IoT
Published in IEEE International Conference on Network Protocols ICNP, 2021
A federated learning approach to frequent itemset mining in cyber-physical systems
Published in Journal of Network and Systems Management, 2021
A Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining
Published in Adjunct Proceedings of the International Conference on Distributed, 2021
Linguistic frequent pattern mining using a compressed structure
Published in Applied Intelligence, 2021
Attention-based deep entropy active learning using lexical algorithm for mental health treatment
Published in Frontiers in Psychology, 2021
RALB‐HC: A resource‐aware load balancer for heterogeneous cluster
Published in Concurrency and Computation Practice and Experience, 2021
A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases
Published in Journal of Healthcare Engineering, 2021
A Machine Learning Model for Data Sanitization
Published in Computer Networks, 2021
A transaction classification model of federated learning
Published in Advances and Trends in Artificial Intelligence Artificial Intelligence, 2021
A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster
Published in Soft Computing, 2021
Fuzzy Explainable Attention-based Deep Active Learning on Mental-Health Data
Published in IEEE International Conference on Fuzzy Systems FUZZ IEEE, 2021
Energy-aware Load Balancing in Heterogeneous Environments
Published in The International Conference on Future Networks Distributed Systems, 2021
Adaptation of IDPT system based on patient-authored text data using NLP
Published in IEEE International Symposium on Computer Based Medical Systems, 2020
Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data
Published in Packt Publishing Ltd, 2020
Efficient mining of Pareto-front high expected utility patterns
Published in Trends in Artificial Intelligence Theory and Applications Artificial, 2020
chybridroid: A machine learning-based hybrid technique for securing the edge computing
Published in Security and Communication Networks, 2020
Incrementally updating the high average-utility patterns with pre-large concept
Published in Applied Intelligence, 2020
Pre-production box-office success quotient forecasting
Published in Soft Computing, 2020
An evolutionary model to mine high expected utility patterns from uncertain databases
Published in IEEE transactions on emerging topics in computational intelligence, 2020
Graph centrality based spam sms detection
Published in International Bhurban Conference on Applied Sciences and, 2019
Troodon: A machine-learning based load-balancing application scheduler for CPU–GPU system
Published in Journal of Parallel and Distributed Computing, 2019
Suggestion miner at semeval-2019 task 9: suggestion detection in online forum using word graph
Published in Proceedings of the international workshop on semantic evaluation, 2019
Section-based focus time estimation of news articles
Published in IEEE Access, 2018
The users experience quality of responsive web design on multiple devices
Published in Proceedings of the International Conference on Future Networks and, 2018
Web technologies used for virtual classroom
Published in Proceedings of the International Conference on Future Networks and, 2018
Irony detector at semeval-2018 task 3: Irony detection in english tweets using word graph
Published in Proceedings of the international workshop on semantic evaluation, 2018
Exploiting Polarity Features for Developing Sentiment Analysis Tool.
Published in EMSASW ESWC, 2017
Intelligent and flexible home automation system
Published in nan, 2016