Usman Ahmed

Orcid: 0000-0002-3933-4273

According to our database1, Usman Ahmed authored at least 90 papers between 2007 and 2024.

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Bibliography

2024
Emotional Intelligence Attention Unsupervised Learning Using Lexicon Analysis for Irony-based Advertising.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2024

2023
Exploring the Potential of Cyber Manufacturing System in the Digital Age.
ACM Trans. Internet Techn., November, 2023

Graph Attention Network for Text Classification and Detection of Mental Disorder.
ACM Trans. Web, August, 2023

Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT.
ACM Trans. Sens. Networks, August, 2023

Social Media Multiaspect Detection by Using Unsupervised Deep Active Attention.
IEEE Trans. Comput. Soc. Syst., August, 2023

Semisupervised Federated Learning for Temporal News Hyperpatism Detection.
IEEE Trans. Comput. Soc. Syst., August, 2023

Robust adversarial uncertainty quantification for deep learning fine-tuning.
J. Supercomput., July, 2023

Enhancing Stock Portfolios for Enterprise Management and Investment in Energy Industry.
IEEE Trans. Ind. Informatics, June, 2023

Active Learning Based Adversary Evasion Attacks Defense for Malwares in the Internet of Things.
IEEE Syst. J., June, 2023

Temporal positional lexicon expansion for federated learning based on hyperpatism detection.
Expert Syst. J. Knowl. Eng., June, 2023

Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption.
IEEE J. Biomed. Health Informatics, April, 2023

Multivariate time-series sensor vital sign forecasting of cardiovascular and chronic respiratory diseases.
Sustain. Comput. Informatics Syst., April, 2023

Federated deep active learning for attention-based transaction classification.
Appl. Intell., April, 2023

Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection.
IEEE J. Biomed. Health Informatics, February, 2023

Deep Fuzzy Contrast-Set Deviation Point Representation and Trajectory Detection.
IEEE Trans. Fuzzy Syst., February, 2023

Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., January, 2023

Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2023

An Optimized Algorithm for Human Portrait Image Segmentation Using U-Net.
Proceedings of the 4th International Conference on Advancements in Computational Sciences, 2023

2022
Heterogeneous Energy-aware Load Balancing for Industry 4.0 and IoT Environments.
ACM Trans. Manag. Inf. Syst., December, 2022

Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems.
IEEE Trans. Fuzzy Syst., 2022

A ML-based resource utilization OpenCL GPU-kernel fusion model.
Sustain. Comput. Informatics Syst., 2022

Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health.
Pattern Recognit. Lett., 2022

Mitigating adversarial evasion attacks by deep active learning for medical image classification.
Multim. Tools Appl., 2022

Deep active reinforcement learning for privacy preserve data mining in 5G environments.
J. Intell. Fuzzy Syst., 2022

Ensemble-based deep meta learning for medical image segmentation.
J. Intell. Fuzzy Syst., 2022

Privacy-Preserving Active Learning on the Internet of 5G Connected Artificial Intelligence of Things.
IEEE Internet Things Mag., 2022

Feedback Learning in Software-Defined Mobile Network for Resource Aware Load Balancing Under Fault Tolerance Conditions.
IEEE Instrum. Meas. Mag., 2022

Efficient Multimedia Frame-Skipping Architecture Using Deep Learning in Vehicular Networks.
IEEE Multim., 2022

EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment.
Future Gener. Comput. Syst., 2022

Reliable customer analysis using federated learning and exploring deep-attention edge intelligence.
Future Gener. Comput. Syst., 2022

A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors.
Comput. Commun., 2022

Privacy-Preserving Deep Reinforcement Learning in Vehicle Ad Hoc Networks.
IEEE Consumer Electron. Mag., 2022

Mitigating adversarial evasion attacks of ransomware using ensemble learning.
Comput. Electr. Eng., 2022

Adversarial Ensemble Modeling for Evasion Attack Detection.
Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Mental Health Treatments Using an Explainable Adaptive Clustering Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Intrusion Detection and Load Balancing using Active Learning Model in SDVNs.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

An Explainable Mental Health Fuzzy Deep Active Learning Technique.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Sequence-Driven Analytics and Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster.
Soft Comput., 2021

A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems.
J. Netw. Syst. Manag., 2021

Unmanned Aerial Multi-Object Dynamic Frame Detection and Skipping Using Deep Learning on the Internet of Drones.
IEEE Internet Things Mag., 2021

5G-Empowered Drone Networks in Federated and Deep Reinforcement Learning Environments.
IEEE Commun. Stand. Mag., 2021

RALB-HC: A resource-aware load balancer for heterogeneous cluster.
Concurr. Comput. Pract. Exp., 2021

FusionCL: a machine-learning based approach for OpenCL kernel fusion to increase system performance.
Computing, 2021

A Machine Learning Model for Data Sanitization.
Comput. Networks, 2021

A nutrient recommendation system for soil fertilization based on evolutionary computation.
Comput. Electron. Agric., 2021

Linguistic frequent pattern mining using a compressed structure.
Appl. Intell., 2021

Privacy-Preserving Periodic Frequent Pattern Model in AIoT Applications.
Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2021

Network-Aware SDN Load Balancer with Deep Active Learning based Intrusion Detection Model.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep-Attention Model to Analyze Reliable Customers via Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Transaction Classification Model of Federated Learning.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Machine Learning for Diabetes Prediction.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Generative Ensemble Learning for Mitigating Adversarial Malware Detection in IoT.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Energy-aware Load Balancing in Heterogeneous Environments.
Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

A Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining.
Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021

Fuzzy Explainable Attention-based Deep Active Learning on Mental-Health Data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Detection of Trajectory Outliers in Intelligent Transportation Systems.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Pre-production box-office success quotient forecasting.
Soft Comput., 2020

cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing.
Secur. Commun. Networks, 2020

Incrementally updating the high average-utility patterns with pre-large concept.
Appl. Intell., 2020

Effect of Mobile Wireless on Outage and BER Performances Over Rician Fading Channel.
IEEE Access, 2020

High Stop Band Rejection for Ceramic Loaded Waveguide Filters.
IEEE Access, 2020

Efficient Mining of Pareto-Front High Expected Utility Patterns.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Adaptation of IDPT System Based on Patient-Authored Text Data using NLP.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Bio-inspired heuristics hybrid with sequential quadratic programming and interior-point methods for reliable treatment of economic load dispatch problem.
Neural Comput. Appl., 2019

Troodon: A machine-learning based load-balancing application scheduler for CPU-GPU system.
J. Parallel Distributed Comput., 2019

Suggestion Miner at SemEval-2019 Task 9: Suggestion Detection in Online Forum using Word Graph.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018
Section-Based Focus Time Estimation of News Articles.
IEEE Access, 2018

Automation of RF Characterization Process for the Development of Feedforward AGC of Software Defined Radio.
Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word Graph.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Violent material detection system.
Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, 2018

The users experience quality of responsive web design on multiple devices.
Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, 2018

Web technologies used for virtual classroom.
Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, 2018

Appliances Scheduling Using State-of-the-Art Algorithms for Residential Demand Response.
Proceedings of the Advances in Internet, 2018

Appliances Scheduling Using Hybrid Scheme of Genetic Algorithm and Elephant Herd Optimization for Residential Demand Response.
Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018

2017
Computing Semantic Trajectories: Methods and Used Techniques.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017

Exploiting Polarity Features for Developing Sentiment Analysis Tool.
Proceedings of the 3rd International Workshop at ESWC on Emotions, 2017

2016
An Experimental Approach and Monitoring Tools for Evaluating a Dynamic Cubing System.
Int. J. Data Warehous. Min., 2016

2015
Experimental Evaluation of a Dynamic Cubing System: Workflow, Metrics, and Prototype.
Proceedings of the Actes des 11es journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2015

2014
Dynamic cubing for hierarchical multidimensional data space.
J. Decis. Syst., 2014

2013
Dynamic cubing for hierarchical multidimensional data space. (Cube de données dynamique pour un espace de données hiérarchique multidimensionnel).
PhD thesis, 2013

2012
Matérialisation partielle et interrogation d'un hypercube de données dynamiques.
Proceedings of the Actes des 8èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, 2012

2011
Performance and Cost Tradeoffs in Metal-Programmable Structured ASICs (MPSAs).
IEEE Trans. Very Large Scale Integr. Syst., 2011

2010
The impact of interconnect architecture on via-programmed structured ASICs (VPSAs).
Proceedings of the ACM/SIGDA 18th International Symposium on Field Programmable Gate Arrays, 2010

Real-Time Temporal Data Warehouse Cubing.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

2008
CAD tool for hardware software co-synthesis of heterogeneous multiple processor embedded architectures.
Des. Autom. Embed. Syst., 2008

2007
Hardware-Software Cosynthesis of Multiprocessor Embedded Architectures.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007


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