SignalMind Lab

Research

At SignalMind Lab, our research explores how signals — whether embedded in medical imaging data, wireless propagation environments, IoT sensor networks, or complex biological and financial systems — are perceived, processed, and transformed into meaningful insights for decision-making. We study the intersection of signal processing, deep learning, and explainable artificial intelligence, seeking to understand how information flows across telecommunications infrastructure, diagnostic systems, industrial networks, and intelligent applications that connect data to discovery.

To date, Dr. M. A. Samad has authored or co-authored over 59 peer-reviewed publications across high-impact venues such as Cancers, IEEE Access, Scientific Reports, Sensors, PLOS ONE, and Journal of Big Data. His works span from explainable deep learning and signal modeling to complex systems analysis and communication networks, reflecting a broad pursuit of understanding signals in their many forms.

Our goal at SignalMind Lab is to connect the mathematical, computational, and perceptual dimensions of signal interpretation — creating pathways toward more adaptive, explainable, and human-aligned intelligent systems.

Highlighted

Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
Proshenjit Sarker, Amel Ksibi, Mona M. Jamjoom, Kwonhue Choi, Abdullah Al Nahid, Md Abdus Samad
Journal of Big Data  ·  01 Jan 2025  ·  doi:10.1186/s40537-025-01132-7

All

2025

Explainable Deep Ensemble Meta-Learning Framework for Brain Tumor Classification Using MRI Images
Explainable Deep Ensemble Meta-Learning Framework for Brain Tumor Classification Using MRI Images
Shawon Chakrabarty Kakon, Zawad Al Sazid, Ismat Ara Begum, Md Abdus Samad, A. S. M. Sanwar Hosen
Cancers  ·  30 Aug 2025  ·  doi:10.3390/cancers17172853
Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues
Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues
Natasha Saeed, Imran Shafi, Sidra Pervez, Ernesto Bautista Thompson, Angel Kuc Castilla, Md Abdus Samad, Imran Ashraf
Computational Economics  ·  01 Jan 2025  ·  doi:10.1007/s10614-024-10837-5
Numerical modeling of gain-switched dysprosium-doped yellow fiber lasers
Numerical modeling of gain-switched dysprosium-doped yellow fiber lasers
Iffat Ara Talin, Md. Ziaul Amin, Md. Abdus Samad
Journal of the Korean Physical Society  ·  01 Jan 2025  ·  doi:10.1007/s40042-025-01303-y
Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
Proshenjit Sarker, Amel Ksibi, Mona M. Jamjoom, Kwonhue Choi, Abdullah Al Nahid, Md Abdus Samad
Journal of Big Data  ·  01 Jan 2025  ·  doi:10.1186/s40537-025-01132-7

2024

StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides
StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides
Izaz Ahmmed Tuhin, Md. Rajib Mia, Md. Monirul Islam, Imran Mahmud, Henry Fabian Gongora, Carlos Uc Rios, Imran Ashraf, Md. Abdus Samad
PLOS ONE  ·  01 Nov 2024  ·  doi:10.1371/journal.pone.0313835
A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators
A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators
Asma Ul Hussna, Risul Islam, Md Golam Rabiul Alam, Jia Uddin, Imran Ashraf, Md Abdus Samad
ICT Express  ·  01 Oct 2024  ·  doi:10.1016/j.icte.2024.10.006
Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms
Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms
Tumpa Rani Shaha, Momotaz Begum, Jia Uddin, Vanessa Yélamos Torres, Josep Alemany Iturriaga, Imran Ashraf, Md. Abdus Samad
BMC Medical Research Methodology  ·  03 Jun 2024  ·  doi:10.1186/s12874-024-02249-8
Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson s disease behavioral analysis
Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson's disease behavioral analysis
Imran Raza, Muhammad Hasan Jamal, Rizwan Qureshi, Abdul Karim Shahid, Angel Olider Rojas Vistorte, Md Abdus Samad, Imran Ashraf
Scientific Reports  ·  01 Apr 2024  ·  doi:10.1038/s41598-024-57547-4
A Real-Time Air-Writing Model to Recognize Bengali Character
A Real-Time Air-Writing Model to Recognize Bengali Character
Mohammed Abdul Kader, Muhammad Ahsan Ullah, Md Saiful Islam, Fermín Ferriol Sánchez, Md Abdus Samad, Imran Ashraf
AIMS Mathematics  ·  01 Jan 2024  ·  doi:10.3934/math.2024325
Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset
Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset
Farhan Md. Siraj, Syed Tasnimul Karim Ayon, Md. Abdus Samad, Jia Uddin, Kwonhue Choi
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/access.2024.3385430
LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI
LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI
Momotaz Begum, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, Amran Hossain, Mohammad Jakir Hossain, Imran Ashraf, Jia Uddin, Md. Abdus Samad
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/access.2024.3388489
Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence
Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence
Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/access.2024.3405570
Hierarchical Attention Module-Based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model
Hierarchical Attention Module-Based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model
Mobeen Shahroz, Mudasir Ali, Alishba Tahir, Henry Fabian Gongora, Carlos Uc Rios, Md Abdus Samad, Imran Ashraf
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3422616
DiabSense: Early Diagnosis of Non-Insulin-Dependent Diabetes Mellitus Using Smartphone-Based Human Activity Recognition and Diabetic Retinopathy Analysis with Graph Neural Network
DiabSense: Early Diagnosis of Non-Insulin-Dependent Diabetes Mellitus Using Smartphone-Based Human Activity Recognition and Diabetic Retinopathy Analysis with Graph Neural Network
Md Nuho Ul Alam, Ibrahim Hasnine, Erfanul Hoque Bahadur, Abdul Kadar Muhammad Masum, Mercedes Briones Urbano, Manuel Masias Vergara, Jia Uddin, Imran Ashraf, Md. Abdus Samad
Journal of Big Data  ·  01 Jan 2024  ·  doi:10.1186/s40537-024-00959-w
An analysis of decipherable red blood cell abnormality detection under federated environment leveraging XAI incorporated deep learning
An analysis of decipherable red blood cell abnormality detection under federated environment leveraging XAI incorporated deep learning
Shakib Mahmud Dipto, Md Tanzim Reza, Nadia Tasnim Mim, Amel Ksibi, Shrooq Alsenan, Jia Uddin, Md Abdus Samad
Scientific Reports  ·  01 Jan 2024  ·  doi:10.1038/s41598-024-76359-0
When to Use Standardization and Normalization: Empirical Evidence From Machine Learning Models and XAI
When to Use Standardization and Normalization: Empirical Evidence From Machine Learning Models and XAI
Khaled Mahmud Sujon, Rohayanti Binti Hassan, Zeba Tusnia Towshi, Manal A. Othman, Md Abdus Samad, Kwonhue Choi
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3462434
Medicinal Plant Classification Using Particle Swarm Optimized Cascaded Network
Medicinal Plant Classification Using Particle Swarm Optimized Cascaded Network
Md. Tarequl Islam, Wahidur Rahman, Md. Shakhawat Hossain, Kaniz Roksana, Irma Domínguez Azpíroz, Raquel Martínez Diaz, Imran Ashraf, Md. Abdus Samad
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3378262
LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI
LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI
Momotaz Begum, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, Amran Hossain, Mohammad Jakir Hossain, Imran Ashraf, Jia Uddin, Md. Abdus Samad
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3388489
Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning
Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning
Md Jiabul Hoque, Md. Saiful Islam, Jia Uddin, Md. Abdus Samad, Beatriz Sainz De Abajo, Débora Libertad Ramírez Vargas, Imran Ashraf
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3383309
Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset
Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset
Farhan Md. Siraj, Syed Tasnimul Karim Ayon, Md. Abdus Samad, Jia Uddin, Kwonhue Choi
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3385430
Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence
Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence
Kazi Ahnaf Alavee, Mehedi Hasan, Abu Hasnayen Zillanee, Moin Mostakim, Jia Uddin, Eduardo Silva Alvarado, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3405570
A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions
A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions
Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf
IEEE Access  ·  01 Jan 2024  ·  doi:10.1109/ACCESS.2024.3461798
Deep Transfer Learning-Based Bird Species Classification Using Mel Spectrogram Images
Deep Transfer Learning-Based Bird Species Classification Using Mel Spectrogram Images
Mrinal Kanti Baowaly, Bisnu Chandra Sarkar, Md. Abul Ala Walid, Md. Martuza Ahamad, Bikash Chandra Singh, Eduardo Silva Alvarado, Imran Ashraf, Md. Abdus Samad
PLOS ONE  ·  01 Jan 2024  ·  doi:10.1371/journal.pone.0305708
Cloud IaaS Optimization Using Machine Vision at the IoT Edge and the Grid Sensing Algorithm
Cloud IaaS Optimization Using Machine Vision at the IoT Edge and the Grid Sensing Algorithm
Nuruzzaman Faruqui, Sandesh Achar, Sandeepkumar Racherla, Vineet Dhanawat, Prathyusha Sripathi, Md. Monirul Islam, Jia Uddin, Manal A. Othman, Md Abdus Samad, Kwonhue Choi
Sensors  ·  01 Jan 2024  ·  doi:10.3390/s24216895

2023

Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN
Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN
Turrnum Shahzadi, Muhammad Usman Ali, Fiaz Majeed, Muhammad Usman Sana, Raquel Martínez Diaz, Md Abdus Samad, Imran Ashraf
Diagnostics  ·  18 Sep 2023  ·  doi:10.3390/diagnostics13182975
HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using EXtreme Gradient Boosting
HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using EXtreme Gradient Boosting
Farhana Tazmim Pinki, Md Abdul Awal, Khondoker Mirazul Mumenin, Md. Shahadat Hossain, Jabed Al Faysal, Rajib Rana, Latifah Almuqren, Amel Ksibi, Md Abdus Samad
Mathematics  ·  18 Sep 2023  ·  doi:10.3390/math11183960
Path loss measurement and modeling of 5G network in emergency indoor stairwell at 3.7 and 28 GHz
Path loss measurement and modeling of 5G network in emergency indoor stairwell at 3.7 and 28 GHz
Md Abdus Samad, Dong-You Choi, Kwonhue Choi
PLOS ONE  ·  01 Mar 2023  ·  doi:10.1371/journal.pone.0282781
DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination
DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination
Md Shakhawat Hossain, Md. Mahmudur Rahman, M. Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Md. Aulad Hossain, Amel Ksibi, Mona M. Jamjoom, Zahid Ullah, Md Abdus Samad
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/access.2023.3310541
Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model
Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model
Iffat Ara Talin, Mahmudul Hasan Abid, Md Abdus Samad, Irma Domínguez Azpíroz, Isabel de la Torre Diez, Imran Ashraf, Abdullah-Al Nahid
Scientific Reports  ·  01 Jan 2023  ·  doi:10.1038/s41598-023-49872-x
Wave Propagation Modeling Techniques in Tunnel Environments: A Survey
Wave Propagation Modeling Techniques in Tunnel Environments: A Survey
Md. Abdus Samad, Sung-Woong Choi, Chung-Sup Kim, Kwonhue Choi
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/ACCESS.2022.3233877
Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques
Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques
Momotaz Begum, Mehedi Hasan Shuvo, Imran Ashraf, Abdullah Al Mamun, Jia Uddin, Md Abdus Samad
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/ACCESS.2023.3329051
Multi-Step Preprocessing with UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection
Multi-Step Preprocessing with UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection
Aisha Ahmed AlArfaj, Abdulaziz Altamimi, Turki Aljrees, Shakila Basheer, Muhammad Umer, Md. Abdus Samad, Shtwai Alsubai, Imran Ashraf
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/ACCESS.2023.3334428
DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination
DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination
Md Shakhawat Hossain, Md. Mahmudur Rahman, M. Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Md. Aulad Hossain, Amel Ksibi, Mona M. Jamjoom, Zahid Ullah, Md Abdus Samad
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/ACCESS.2023.3310541
Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field
Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field
Zakaria Aoujil, Mohamed Hanine, Emmanuel Soriano Flores, Md. Abdus Samad, Imran Ashraf
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/ACCESS.2023.3339778
Analysis of Centimeter and Millimeter-Wave Path Loss at Emergency Exit
Analysis of Centimeter and Millimeter-Wave Path Loss at Emergency Exit
Md. Abdus Samad, Dong-You Choi, Hyungseop Son, Kwonhue Choi
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/ACCESS.2023.3264648
A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis
A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis
Bilal Hassan Ahmed Khattak, Imran Shafi, Abdul Saboor Khan, Emmanuel Soriano Flores, Roberto García Lara, Md. Abdus Samad, Imran Ashraf
IEEE Access  ·  01 Jan 2023  ·  doi:10.1109/ACCESS.2023.3330156
A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022
A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022
Ummay Umama Gronthy, Uzzal Biswas, Salauddin Tapu, Md Abdus Samad, Abdullah-Al Nahid
Diagnostics  ·  01 Jan 2023  ·  doi:10.3390/diagnostics13101732
Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
Md. Abul Ala Walid, Swarnali Mollick, Pintu Chandra Shill, Mrinal Kanti Baowaly, Md. Rabiul Islam, Md. Martuza Ahamad, Manal A. Othman, Md Abdus Samad
Diagnostics  ·  01 Jan 2023  ·  doi:10.3390/diagnostics13193155
Real-Time Obstacle Detection with YOLOv8 in a WSN Using UAV Aerial Photography
Real-Time Obstacle Detection with YOLOv8 in a WSN Using UAV Aerial Photography
Shakila Rahman, Jahid Hasan Rony, Jia Uddin, Md Abdus Samad
Journal of Imaging  ·  01 Jan 2023  ·  doi:10.3390/jimaging9100216
Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques
Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques
Md. Monirul Islam, K. M. Rafiqul Alam, Jia Uddin, Imran Ashraf, Md Abdus Samad
Diagnostics  ·  01 Jan 2023  ·  doi:10.3390/diagnostics13213360
A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry
A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry
Muhammad Shoaib Farooq, Muhammad Abdullah, Shamyla Riaz, Atif Alvi, Furqan Rustam, Miguel Angel López Flores, Juan Castanedo Galán, Md Abdus Samad, Imran Ashraf
Sensors  ·  01 Jan 2023  ·  doi:10.3390/s23218958
Enhancing Taxonomic Categorization of DNA Sequences with Deep Learning: A Multi-Label Approach
Enhancing Taxonomic Categorization of DNA Sequences with Deep Learning: A Multi-Label Approach
Prommy Sultana Hossain, Kyungsup Kim, Jia Uddin, Md Abdus Samad, Kwonhue Choi
Bioengineering  ·  01 Jan 2023  ·  doi:10.3390/bioengineering10111293
Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
Mohammad Mobarak Hossain, Mohammod Abul Kashem, Md. Monirul Islam, Md. Sahidullah, Sumona Hoque Mumu, Jia Uddin, Daniel Gavilanes Aray, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad
Sensors  ·  01 Jan 2023  ·  doi:10.3390/s23239367
Deep Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review
Deep Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review
Kazi Rakib Hasan, Anamika Biswas Tuli, Md. Al-Masrur Khan, Seong-Hoon Kee, Md Abdus Samad, Abdullah-Al Nahid
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  ·  01 Jan 2023  ·  doi:10.1109/JSTARS.2023.3328315

2022

Path Loss Investigation in Hall Environment at Centimeter and Millimeter-Wave Bands
Path Loss Investigation in Hall Environment at Centimeter and Millimeter-Wave Bands
Md Abdus Samad, Dong-You Choi, Kwonhue Choi
Sensors  ·  01 Aug 2022  ·  doi:10.3390/s22176593
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection
Md. Sakir Hossain, Naim Hasan, Md. Abdus Samad, Hossain Md. Shakhawat, Joydeep Karmoker, Foysol Ahmed, K. F. M. Nafiz Fuad, Kwonhue Choi
IEEE Access  ·  01 Jan 2022  ·  doi:10.1109/access.2022.3227579
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection
Md. Sakir Hossain, Naim Hasan, Md. Abdus Samad, Hossain Md. Shakhawat, Joydeep Karmoker, Foysol Ahmed, K. F. M. Nafiz Fuad, Kwonhue Choi
IEEE Access  ·  01 Jan 2022  ·  doi:10.1109/ACCESS.2022.3227579
Analysis and Modeling of Propagation in Tunnel at 3.7 and 28 GHz
Analysis and Modeling of Propagation in Tunnel at 3.7 and 28 GHz
Md Abdus Samad, Dong-You Choi
CMC-Computers, Materials & Continua  ·  01 Jan 2022  ·  doi:10.32604/cmc.2022.023086

2021

Results of Large-Scale Propagation Models in Campus Corridor at 3.7 and 28 GHz
Results of Large-Scale Propagation Models in Campus Corridor at 3.7 and 28 GHz
Md Abdus Samad, Feyisa Debo Diba, Young-Jin Kim, Dong-You Choi
Sensors  ·  01 Nov 2021  ·  doi:10.3390/s21227747
Scaling of Rain Attenuation Models: A Survey
Scaling of Rain Attenuation Models: A Survey
Md Abdus Samad, Dong-You Choi
Applied Sciences  ·  01 Aug 2021  ·  doi:10.3390/app11188360
Rain attenuation scaling in South Korea: Experimental results and artificial neural network
Rain attenuation scaling in South Korea: Experimental results and artificial neural network
Md Abdus Samad, Feyisa Debo Diba, Dong-You Choi
Electronics  ·  01 Aug 2021  ·  doi:10.3390/electronics10162030
An overview of rain attenuation research in Bangladesh
An overview of rain attenuation research in Bangladesh
Md Abdus Samad, Md. Razu Ahmed, Syed Zahidur Rashid
Indonesian Journal of Electrical Engineering and Computer Science  ·  01 Aug 2021  ·  doi:10.11591/ijeecs.v23.i2.pp902-909
A survey of rain fade models for earth space telecommunication links taxonomy, methods, and comparative study
A survey of rain fade models for earth–space telecommunication links—taxonomy, methods, and comparative study
Md Abdus Samad, Feyisa Debo Diba, Dong-You Choi
Remote Sensing  ·  01 May 2021  ·  doi:10.3390/rs13101965
A survey of rain attenuation prediction models for terrestrial links current research challenges and state-of-the-art
A survey of rain attenuation prediction models for terrestrial links—current research challenges and state-of-the-art
Md Abdus Samad, Feyisa Debo Diba, Dong-You Choi
Sensors  ·  01 Feb 2021  ·  doi:10.3390/s21041207
The effects of rain on terrestrial links at K, Ka and E-bands in South Korea: Based on supervised learning
The effects of rain on terrestrial links at K, Ka and E-bands in South Korea: Based on supervised learning
Feyisa Debo Diba, Md Abdus Samad, Dong-You Choi
IEEE Access  ·  01 Jan 2021  ·  doi:10.1109/access.2021.3049825
Wireless telecommunication links for rainfall monitoring: Deep learning approach and experimental results
Wireless telecommunication links for rainfall monitoring: Deep learning approach and experimental results
Feyisa Debo Diba, Md Abdus Samad, Jiwan Ghimire, Dong-You Choi
IEEE Access  ·  01 Jan 2021  ·  doi:10.1109/access.2021.3076781
Centimeter and Millimeter-Wave Propagation Characteristics for Indoor Corridors at 3.7 and 28 GHz: Results from Measurements and Models
Centimeter and Millimeter-Wave Propagation Characteristics for Indoor Corridors at 3.7 and 28 GHz: Results from Measurements and Models
Feyisa Debo Diba, Md Abdus Samad, Dong-You Choi
IEEE Access  ·  01 Jan 2021  ·  doi:10.1109/ACCESS.2021.3130293
The Effects of Rain on Terrestrial Links at K, Ka and E-Bands in South Korea: Based on Supervised Learning
The Effects of Rain on Terrestrial Links at K, Ka and E-Bands in South Korea: Based on Supervised Learning
Feyisa Debo Diba, Md Abdus Samad, Dong-You Choi
IEEE Access  ·  01 Jan 2021  ·  doi:10.1109/ACCESS.2021.3049825
Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results
Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results
Feyisa Debo Diba, Md Abdus Samad, Jiwan Ghimire, Dong-You Choi
IEEE Access  ·  01 Jan 2021  ·  doi:10.1109/ACCESS.2021.3076781

2020

Learning-assisted rain attenuation prediction models
Learning-assisted rain attenuation prediction models
Md Abdus Samad, Dong-You Choi
Applied Sciences  ·  01 Aug 2020  ·  doi:10.3390/app10176017

2015

The tropospheric scintillation prediction of earth-to-satellite link for Bangladeshi climatic condition
The tropospheric scintillation prediction of earth-to-satellite link for Bangladeshi climatic condition
Muhammad Hossain, Muhammad Samad
Serbian Journal of Electrical Engineering  ·  01 Jan 2015  ·  doi:10.2298/SJEE1503263H
The tropospheric scintillation prediction of earth-to-satellite link for Bangladeshi climatic condition
The tropospheric scintillation prediction of earth-to-satellite link for Bangladeshi climatic condition
Muhammad Hossain, Muhammad Samad
Serbian Journal of Electrical Engineering  ·  01 Jan 2015  ·  doi:10.2298/sjee1503263h

2014

Correlation between brain s adjoin and diverse hemisphere for motor imagery task relating to central and peripheral nervous system
Correlation between brain's adjoin and diverse hemisphere for motor imagery task relating to central and peripheral nervous system
Md. Abdus Samad, Md. Imanul Huq
International Conference on Informatics, Electronics & Vision (ICIEV)  ·  01 Jan 2014  ·  doi:10.1109/ICIEV.2014.6850828
A Comparative Study of Carrier Frequency Offset CFO Estimation Techniques for OFDM Systems
A Comparative Study of Carrier Frequency Offset (CFO) Estimation Techniques for OFDM Systems
Abdul Gani Abshir, M. M. Abdullahi, Md. Abdus Samad
IOSR Journal of Electronics and Communication Engineering  ·  01 Jan 2014  ·  doi:10.9790/2834-09440106

2012

FIR Filter Design Using Modified Lanczos Window Function
FIR Filter Design Using Modified Lanczos Window Function
Md. Abdus Samad, Jia Uddin, Md. Razu Ahmed
Advanced Materials Research  ·  01 Sep 2012  ·  doi:10.4028/www.scientific.net/AMR.566.49
FIR Filter Design Using Modified Lanczos Window Function
FIR Filter Design Using Modified Lanczos Window Function
Md. Abdus Samad, Jia Uddin, Md. Razu Ahmed
Advanced Materials Research  ·  01 Sep 2012  ·  doi:10.4028/www.scientific.net/amr.566.49
A Novel Window Function Yielding Suppressed Mainlobe Width and Minimum Sidelobe Peak
A Novel Window Function Yielding Suppressed Mainlobe Width and Minimum Sidelobe Peak
Md Abdus Samad
International Journal of Computer Science, Engineering and Information Technology  ·  01 Apr 2012  ·  doi:10.5121/ijcseit.2012.2209

citation image
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[no publisher info]  ·  [no date info]  ·  handle:103.99.128.10:8080/xmlui/handle/123456789/227