Mohammad Shahadat Hossain

Orcid: 0000-0002-7473-8185

According to our database1, Mohammad Shahadat Hossain authored at least 92 papers between 2006 and 2023.

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

Timeline

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Bibliography

2023
Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson's Disease Diagnosis.
IEEE Access, 2023

Workload Orchestration in Multi-Access Edge Computing Using Belief Rule-Based Approach.
IEEE Access, 2023

A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data.
IEEE Access, 2023

Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer's Disease.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
Explainable Text Classification Model for COVID-19 Fake News Detection.
J. Internet Serv. Inf. Secur., 2022

An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai.
Expert Syst. Appl., 2022

Machine learning with Belief Rule-Based Expert Systems to predict stock price movements.
Expert Syst. Appl., 2022

An Integrated Deep Learning and Belief Rule Base Intelligent System to Predict Survival of COVID-19 Patient under Uncertainty.
Cogn. Comput., 2022

IoMT-based Android Application for Monitoring COVID-19 Patients Using Real-Time Data.
TCCE, 2022

Neural Network-Based Obstacle and Pothole Avoiding Robot.
TCCE, 2022

Machine Learning-Based Tomato Leaf Disease Diagnosis Using Radiomics Features.
TCCE, 2022

A Belief Rule Based Expert System to Diagnose Schizophrenia Using Whole Blood DNA Methylation Data.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

Transfer Learning Based Skin Cancer Classification Using GoogLeNet.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

A Hybrid Hotel Recommendation Using Collaborative, Content Based and Knowledge Based Approach.
ICO, 2022

Lossy Compression Effect on Color and Texture Based Image Retrieval Performance.
ICO, 2022

An Encoding and Decoding Technique to Compress Huffman Tree Size in an Efficient Manner.
ICO, 2022

An IoT Prototype for Monitoring Covid19 Patients Using Real Time Data from Wearable Sensor Through Android App.
ICO, 2022

Tomato Leaf Disease Classification Using Transfer Learning Method.
ICO, 2022

A Transfer Learning Approach to Detect Face Mask in COVID-19 Pandemic.
ICO, 2022

Reason Based Machine Learning Approach to Detect Bangla Abusive Social Media Comments.
ICO, 2022

Bell Pepper Leaf Disease Classification Using Convolutional Neural Network.
ICO, 2022

Transfer Learning Based Method for Classification of Schizophrenia Using MobileNet.
ICO, 2022

Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification.
ICO, 2022

Comparative Performance of Tree Based Machine Learning Classifiers in Product Backorder Prediction.
ICO, 2022

Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022

Classifying Brain Tumor from MRI Images Using Parallel CNN Model.
Proceedings of the Brain Informatics - 15th International Conference, 2022

A Belief Rule Based Expert System to Diagnose Alzheimer's Disease Using Whole Blood Gene Expression Data.
Proceedings of the Brain Informatics - 15th International Conference, 2022

Epilepsy Detection from EEG Data Using a Hybrid CNN-LSTM Model.
Proceedings of the Brain Informatics - 15th International Conference, 2022

A Hybrid Deep Learning System to Detect Face-Mask and Monitor Social Distance.
AII, 2022

A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC).
AII, 2022

2021
Real-Time Non-Intrusive Driver Fatigue Detection System using Belief Rule-Based Expert System.
J. Internet Serv. Inf. Secur., 2021

An Integrated Neural Network and SEIR Model to Predict COVID-19.
Algorithms, 2021

An Integrated Deep Learning and Belief Rule-Based Expert System for Visual Sentiment Analysis under Uncertainty.
Algorithms, 2021

Comparative Analysis of Recurrent Neural Networks in Stock Price Prediction for Different Frequency Domains.
Algorithms, 2021

Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction.
IEEE Access, 2021

Face Mask Detection in the Era of COVID-19: A CNN-Based Approach.
TCCE, 2021

A Weighted Average Ensemble Technique to Predict Heart Disease.
TCCE, 2021

A Deep Learning-Based Ophthalmologic Approach for Retinal Fundus Image Analysis to Detect Glaucoma.
TCCE, 2021

A Hybrid CNN-LSTM-Based Emotional Status Determination using Physiological Signals.
TCCE, 2021

An Approach to Detect Chronic Kidney Disease (CKD) by Removing Noisy and Inconsistent Values of UCI Dataset.
TCCE, 2021

A Deep Learning Approach with Data Augmentation to Recognize Facial Expressions in Real Time.
TCCE, 2021

A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson's Disease Diagnosis.
Proceedings of the Brain Informatics - 14th International Conference, 2021

Feature Selection Based Machine Learning to Improve Prediction of Parkinson Disease.
Proceedings of the Brain Informatics - 14th International Conference, 2021

D3mciAD: Data-Driven Diagnosis of Mild Cognitive Impairment Utilizing Syntactic Images Generation and Neural Nets.
Proceedings of the Brain Informatics - 14th International Conference, 2021

An XAI Based Autism Detection: The Context Behind the Detection.
Proceedings of the Brain Informatics - 14th International Conference, 2021

Early Detection of Parkinson's Disease from Micrographic Static Hand Drawings.
Proceedings of the Brain Informatics - 14th International Conference, 2021

Deep Learning Approach to Classify Parkinson's Disease from MRI Samples.
Proceedings of the Brain Informatics - 14th International Conference, 2021

Human Gender Detection from Facial Images Using Convolution Neural Network.
AII, 2021

Inference and Learning Methodology of Belief Rule Based Expert System to Assess Chikungunya.
AII, 2021

A CNN Based Model for Venomous and Non-venomous Snake Classification.
AII, 2021

Human Age Estimation Using Deep Learning from Gait Data.
AII, 2021

Glaucoma Detection Using Inception Convolutional Neural Network V3.
AII, 2021

2020
An Integrated Approach of Belief Rule Base and Deep Learning to Predict Air Pollution.
Sensors, 2020

Technological Innovation Capability Evaluation of High-Tech Firms Using Conjunctive and Disjunctive Belief Rule-Based Expert System: A Comparative Study.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2020

A Review on Recent Advancements in FOREX Currency Prediction.
Algorithms, 2020

A Deep Learning Inspired Belief Rule-Based Expert System.
IEEE Access, 2020

Classification of Cultural Heritage Mosque of Bangladesh Using CNN and Keras Model.
ICO, 2020

Gender Classification from Inertial Sensor-Based Gait Dataset.
ICO, 2020

Classification of Orthopedic Patients Using Supervised Machine Learning Techniques.
ICO, 2020

An Interactive Computer System with Gesture-Based Mouse and Keyboard.
ICO, 2020

Recommendation System for E-commerce Using Alternating Least Squares (ALS) on Apache Spark.
ICO, 2020

An Integrated CNN-LSTM Model for Micro Hand Gesture Recognition.
ICO, 2020

Mosquito Classification Using Convolutional Neural Network with Data Augmentation.
ICO, 2020

Speech Emotion Recognition in Neurological Disorders Using Convolutional Neural Network.
Proceedings of the Brain Informatics - 13th International Conference, 2020

A Machine Learning Based Fall Detection for Elderly People with Neurodegenerative Disorders.
Proceedings of the Brain Informatics - 13th International Conference, 2020

2019
An Intelligent System to Diagnose Chikungunya under Uncertainty.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2019

A Belief Rule Based Expert System to Assess Hypertension under Uncertainty.
J. Internet Serv. Inf. Secur., 2019

2018
A novel anomaly detection algorithm for sensor data under uncertainty.
Soft Comput., 2018

A belief rule-based expert system to assess suspicion of acute coronary syndrome (ACS) under uncertainty.
Soft Comput., 2018

Estimation of Signal Coverage and Localization in Wi-Fi Networks with AODV and OLSR.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2018

A Belief Rule Based Expert System to Predict Earthquake under Uncertainty.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2018

A Belief Rule Based Flood Risk Assessment Expert System using Real Time Sensor Data Streaming.
Proceedings of the 43rd IEEE Conference on Local Computer Networks Workshops, 2018

Performance Analysis of Anomaly Based Network Intrusion Detection Systems.
Proceedings of the 43rd IEEE Conference on Local Computer Networks Workshops, 2018

Challenges and Opportunities of Using Big Data for Assessing Flood Risks.
Proceedings of the Applications of Big Data Analytics, Trends, Issues, and Challenges., 2018

2017
A Belief Rule Based Expert System for Datacenter PUE Prediction under Uncertainty.
IEEE Trans. Sustain. Comput., 2017

A Scalable and Secure MANET for an i-Voting System.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2017

A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty.
J. Medical Syst., 2017

Selection of Energy Efficient Routing Protocol for Irrigation Enabled by Wireless Sensor Network.
Proceedings of the 42nd IEEE Conference on Local Computer Networks Workshops, 2017

Heterogeneous wireless sensor networks using CoAP and SMS to predict natural disasters.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

A web based belief rule based expert system for assessing flood risk.
Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services, 2017

Optimal dynamic routing protocols for agro-sensor communication in MANETs.
Proceedings of the 14th IEEE Annual Consumer Communications & Networking Conference, 2017

An interoperable IP based WSN for smart irrigation system.
Proceedings of the 14th IEEE Annual Consumer Communications & Networking Conference, 2017

2016
IP based Wireless Sensor Networks: Performance Analysis using Simulations and Experiments.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2016

A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Performance analysis of an IP based protocol stack for WSNs.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

2015
Belief-rule-based expert systems for evaluation of e-government: a case study.
Expert Syst. J. Knowl. Eng., 2015

Heterogeneous wireless sensor networks for flood prediction decision support systems.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

A web based belief rule based expert system to predict flood.
Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015

2014
Smart risk assessment systems using belief-rule-based DSS and WSN technologies.
Proceedings of the 4th International Conference on Wireless Communications, 2014

2006
An Entity-Relationship Model for an Information System to Assess Flood Impact on Route Network.
Int. J. Comput. Their Appl., 2006

An Information System to Assess Flood Impact on Road Transportation Systems.
Int. J. Comput. Their Appl., 2006


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