Identification of potential drug targets by subtractive genome analysis of Bacillus anthracis A0248: An in silico approach. - Md. Anisur Rahman; Md. Sanaullah Noore; Md. Anayet Hasan; Md. Rakib Ullah; Md. Hafijur Rahman; Md. Amzad Hossain; Yeasmeen Ali; Md. Saiful Islam 005 (Comput. Biol. Chem., 2014)

Recognition of human emotions using EEG signals: A review. - Md. Mustafizur Rahman; Ajay Krishno Sarkar; Md. Amzad Hossain; Md. Selim Hossain; Md. Rabiul Islam 007; Md. Biplob Hossain; Julian M. W. Quinn; Mohammad Ali Moni (Comput. Biol. Medicine, 2021)

EEG-based emotion analysis using non-linear features and ensemble learning approaches. - Md. Mustafizur Rahman; Ajay Krishno Sarkar; Md. Amzad Hossain; Mohammad Ali Moni (Expert Syst. Appl., 2022)

Heart Disease Detection Using ML. - Ranjit Chandra Das; Madhab Chandra Das; Md. Amzad Hossain; Md. Ashiqur Rahman; Md. Helal Hossen; Rakibul Hasan (CCWC, 2023)

Skin disease detection using deep learning. - Syed Inthiyaz; Baraa Riyadh Altahan; Sk. Hasane Ahammad; V. Rajesh; Ruth Ramya Kalangi; Lassaad K. Smirani; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (Adv. Eng. Softw., 2023)

Machine learning based models for defect detection in composites inspected by Barker coded thermography: A qualitative analysis. - M. Muzammil Parvez; Shailendra Kumar Mishra; K. Nandini; Sk. Hasane Ahammad; Syed Inthiyaz; Baraa Riyadh Altahan; Lassaad K. Smirani; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (Adv. Eng. Softw., 2023)

Assessment and recommendation of neural networks and precise techniques for sentiment systems analysis. - Sandeep Dwarkanath Pande; Baraa Riyadh Altahan; Shaik Hasane Ahammad; Ashwini Subodhan Mane; Syed Inthiyaz; Lassaad K. Smirani; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (J. Ambient Intell. Humaniz. Comput., 2023)

An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic. - Santosh Kumar Sahoo; Gopinath Palai; Baraa Riyadh Altahan; Sk. Hasane Ahammad; P. Poorna Priya; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (New Gener. Comput., 2023)

Correction to: An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic. - Santosh Kumar Sahoo; Gopinath Palai; Baraa Riyadh Altahan; Sk. Hasane Ahammad; P. Poorna Priya; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (New Gener. Comput., 2023)

Design and Analysis of Rectangular Circularly Polarized Array Antenna for Flexible IoT Applications. - Penumala Prem Sagar; Vullanki Rajesh; Baraa Riyadh Altahan; M. Venkateswararao; Sk. Hasane Ahammad; Lassaad K. Smirani; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (Wirel. Pers. Commun., 2023)

Convolution neural network model for predicting various lesion-based diseases in diabetic macula edema in optical coherence tomography images. - DilipKumar Jang Bahadur Saini; R. Sivakami; R. Venkatesh; C. S. Raghava; Sandeep Dwarkanath Pande; Twana Mohammed Kak Anwer; Lassaad K. Smirani; Shaik Hasane Ahammad; U. Pamula; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (Biomed. Signal Process. Control., 2023)

Thoughts of brain EEG signal-to-text conversion using weighted feature fusion-based Multiscale Dilated Adaptive DenseNet with Attention Mechanism. - Jing Yang 054; Muhammad Awais; Md. Amzad Hossain; Lip Yee Por; Haowei Ma; Ibrahim Mustafa Mehedi; Ahmed I. Iskanderani (Biomed. Signal Process. Control., 2023)

Development of real time ECG monitoring and unsupervised learning classification framework for cardiovascular diagnosis. - Venkata Anuhya Ardeti; Venkata Ratnam Kolluru; Sidheswar Routray; B. Omkar Lakshmi Jagan; A. Kishore Kumar; R. Ramachandran; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (Biomed. Signal Process. Control., 2024)

Advanced model based machine learning technique for early stage prediction of ankylosing spondylitis under timely analysis with featured textures. - Shaik Hasane Ahammad; R. Jayaraj; S. Shibu; V. Sujatha; Ch Prathima; L. Megalan Leo; R. Thandaiah Prabu; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (Multim. Tools Appl., 2024)

Correction to: Advanced model based machine learning technique for early stage prediction of ankylosing spondylitis under timely analysis with featured textures. - Shaik Hasane Ahammad; R. Jayaraj; S. Shibu; V. Sujatha; Ch Prathima; L. Megalan Leo; R. Thandaiah Prabu; Md. Amzad Hossain; Ahmed Nabih Zaki Rashed (Multim. Tools Appl., 2024)