Marge Koblinsky, Zoë Matthews, Julia Hussein, Dileep Mavalankar et al.
Because most women prefer professionally provided maternity care when they have access to it, and since the needed clinical interventions are well known, we discuss in their paper what is needed to move forward from apparent global stagnation in provision and use of maternal health care where matern...
Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim et al.
Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognition in higher layers and basic edge identification i...
M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, Aklima Akter Lima et al.
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that cover...
M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar et al.
A protuberant issue of the present time is that, organizations from different domains are struggling to obtain effective solutions for detecting online-based fake news. It is quite thought-provoking to distinguish fake information on the internet as it is often written to deceive users. Compared wit...
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, Md. Mohsin Kabir et al.
Sentiment analysis is a method within natural language processing that evaluates and identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and phrases categorizes them into positive, negative, or neutral sentiments. The significance of sentiment analysis lies in its capa...
Krishna Mridha, Md. Mezbah Uddin, Jungpil Shin, Susan Khadka et al.
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces challenges such as long waiting times and subjective interpretations. Deep learning techniques have been devel...
Md Saef Ullah Miah, Md. Mohsin Kabir, Talha Bin Sarwar, Mejdl Safran et al.
Sentiment analysis is an essential task in natural language processing that involves identifying a text's polarity, whether it expresses positive, negative, or neutral sentiments. With the growth of social media and the Internet, sentiment analysis has become increasingly important in various fields...
Md. Reazul Islam, Md. Mohsin Kabir, M. F. Mridha, Sultan Alfarhood et al.
With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health monitoring remedy. IoT-based systems can gather an...
Tauhidul Islam, Md Sadman Hafiz, Jamin Rahman Jim, Md. Mohsin Kabir et al.
Data augmentation involves artificially expanding a dataset by applying various transformations to the existing data. Recent developments in deep learning have advanced data augmentation, enabling more complex transformations. Especially vital in the medical domain, deep learning-based data augmenta...
Md Reazul Islam, Khondokar Oliullah, Md. Mohsin Kabir, Munzirul Alom et al.
Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains a significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients and provide accurate crop recommenda...
Showrov Islam, M Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim et al.
Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training. GANs have found crucial applications in various fields, including medical imaging. In healthcare, GANs contribute by ...
Malay Kanti Mridha, Susana L Matias, Camila M. Chaparro, Rina Rani Paul et al.
Background Maternal undernutrition and newborn stunting [birth length-for-age z score (LAZ) Objective The objective was to evaluate the effect of lipid-based nutrient supplements for pregnant and lactating women (LNS-PLs) on birth outcomes. Design We conducted a cluster-randomized effectiveness tria...
Md. Mohsin Kabir, M. F. Mridha, Jungpil Shin, Israt Jahan et al.
Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication technologies based on voice biometrics, such as automatic speaker recognition (ASR), have been introduced. An ASR recognizes speakers b...
Marge Koblinsky, Iqbal Anwar, Malay Kanti Mridha, Mahbub Elahi Chowdhury et al.
Bangladesh is on its way to achieving the MDG 5 target of reducing the maternal mortality ratio by three-quarters between 1990 and 2015, but the annual rate of decline needs to triple. Although the use of skilled birth attendants has improved over the past 15 years, it remains less than 20% as of 20...
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir et al.
Neurological disorders (NDs) are becoming more common, posing a concern to pregnant women, parents, healthy infants, and children. Neurological disorders arise in a wide variety of forms, each with its own set of origins, complications, and results. In recent years, the intricacy of brain functional...