Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method von Chowdhury, Nihad Karim, Kabir, Muhammad Ashad, Rahman, Md. Muhtadir, Islam, Sheikh Mohammed Shariful

Volltext

Encryption Based Image Watermarking Algorithm in 2DWT-DCT Domains von Hasan, Nayeem, Islam, Md Saiful, Chen, Wenyu, Kabir, Muhammad Ashad, Al-Ahmadi, Saad

Volltext

Machine Learning Techniques for Estimating Soil Moisture from Smartphone Captured Images von Hossain, Muhammad Riaz Hasib, Kabir, Muhammad Ashad

Volltext

The Anonymity of the Dark Web: A Survey von Saleem, Javeriah, Islam, Rafiqul, Kabir, Muhammad Ashad

Volltext

Investigating Smart Home Security: Is Blockchain the Answer? von Arif, Samrah, Khan, M. Arif, Rehman, Sabih Ur, Kabir, Muhammad Ashad, Imran, Muhammad

Volltext

OptiFit : Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans von Rafiq, Riyad Bin, Hoque, Kazi Miftahul, Kabir, Muhammad Ashad, Ahmed, Sayed, Laird, Craig

Volltext

A Review on Business Process Management System Design: The Role of Virtualization and Work Design von Bartlett, Luke, Kabir, Muhammad Ashad, Han, Jun

Volltext

Exploring the impact of word prediction assistive features on smartphone keyboards for blind users von Alnfiai, Mrim M., Kabir, Muhammad Ashad

Volltext

LEI2JSON: Schema-based validation and conversion of livestock event information von Habib, Mahir, Kabir, Muhammad Ashad, Zheng, Lihong

Volltext

A systematic review of machine learning techniques for cattle identification: Datasets, methods and future directions von Hossain, Md Ekramul, Kabir, Muhammad Ashad, Zheng, Lihong, Swain, Dave L., McGrath, Shawn, Medway, Jonathan

Volltext

A review of methodologies for fake news analysis von Tajrian, Mehedi, Rahman, Azizur, Kabir, Muhammad Ashad, Islam, Md Rafiqul

Volltext

Hexagonal photonic crystal Fiber (H-PCF) based optical sensor with high relative sensitivity and low confinement loss for terahertz (THz) regime von Sen, Shuvo, Abdullah-Al-Shafi, Md, Kabir, Muhammad Ashad

Volltext

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 von Chowdhury, Nihad Karim, Kabir, Muhammad Ashad, Rahman, Md. Muhtadir, Rezoana, Noortaz

Volltext

Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations von Siddiqua, Ayesha, Kabir, Muhammad Ashad, Ferdous, Tanzina, Ali, Israt Bintea, Weston, Leslie A.

Volltext

Analysis of child development facts and myths using text mining techniques and classification models von Tajrian, Mehedi, Rahman, Azizur, Kabir, Muhammad Ashad, Islam, Md Rafiqul

Volltext

Exploring the Potential Use of Wearable Devices as a Prognostic Tool among Patients in Hospice Care von Huang, Yaoru, Kabir, Muhammad Ashad, Upadhyay, Umashankar, Dhar, Eshita, Uddin, Mohy, Syed-Abdul, Shabbir

Volltext

Video summarization using line segments, angles and conic parts von Salehin, Md Musfequs, Paul, Manoranjan, Kabir, Muhammad Ashad

Volltext

Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters von Islam, Jahedul, Meraj, Sheikh Tanzim, Masaoud, Ammar, Mahmud, Md. Apel, Nazir, Amril, Kabir, Muhammad Ashad, Hossain, Md. Moinul, Mumtaz, Farhan

Volltext

COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter von Bishal, Mahathir Mohammad, Chowdory, Md. Rakibul Hassan, Das, Anik, Kabir, Muhammad Ashad

Volltext

Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps von Samad, Sabiha, Ahmed, Fahmida, Naher, Samsun, Kabir, Muhammad Ashad, Das, Anik, Amin, Sumaiya, Islam, Sheikh Mohammed Shariful

Volltext