Mohammad Mehedi Hassan, Md. Golam Rabiul Alam, Md. Zia Uddin, Shamsul Huda et al.
Recently, deep learning methodologies have become popular to analyse physiological signals in multiple modalities via hierarchical architectures for human emotion recognition. In most of the state-of-the-arts of human emotion recognition, deep learning for emotion classification was used. However, d...
Md. Hasan Al Banna, Abu Sayeed, Satyajit Kundu, Enryka Christopher et al.
The recent COVID-19 pandemic has imposed threats on both physical and mental health since its outbreak. This study aimed to explore the impact of the COVID-19 pandemic on mental health among a representative sample of home-quarantined Bangladeshi adults. A cross-sectional design was used with an onl...
Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Md. Zia Uddin, Ahmad Almogren et al.
Computation offloading is a protuberant elucidation for the resource-constrained mobile devices to accomplish the process demands high computation capability. The mobile cloud is the well-known existing offloading platform, which usually far-end network solution, to leverage computation of the resou...
Md. Mehedi Hassan, Md. Mahedi Hassan, Laboni Akter, Md. Mushfiqur Rahman et al.
The quality of water has a direct influence on both human health and the environment. Water is utilized for a variety of purposes, including drinking, agriculture, and industrial use. The water quality index (WQI) is a critical indication for proper water management. The purpose of this work was to ...
Md. Biplob Hossain, Md. Muztahidul Islam, Lway Faisal Abdulrazak, Md. Masud Rana et al.
This paper provides a simple hybrid design and numerical analysis of the graphene-coated fiber-optic surface plasmon resonance (SPR) biosensor for breast cancer gene-1 early onset (BRCA1) and breast cancer gene-2 early onset (BRCA2) genetic breast cancer detection. Two specific mutations named 916de...
Asma Enayet, Md. Abdur Razzaque, Mohammad Mehedi Hassan, Atif Alamri et al.
In recent years, the smart city concept, which involves multiple disciplines, for example, smart healthcare, smart transportation, and smart community, has become popular because of its ability to improve urban citizens' quality of life. However, most services in these areas of smart cities have bec...
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman et al.
Officials in the field of public health are concerned about a new monkeypox outbreak, even though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox, and vaccinia, monkeypox is caused by an orthopoxvirus that has two strands that are double-stranded. The present pandem...
Md Mofijul Islam, Md. Abdur Razzaque, Mohammad Mehedi Hassan, Walaa N. Ismail et al.
In recent years, the Smart City concept has become popular for its promise to improve the quality of life of urban citizens. The concept involves multiple disciplines, such as Smart health care, Smart transportation, and Smart community. Most services in Smart Cities, especially in the Smart healthc...
Md. Mehedi Hassan, Md. Mahedi Hassan, Farhana Yasmin, Md. Asif Rakib Khan et al.
Breast cancer is the most common life-threatening cancer in women and one of the leading causes of death. Early diagnosis is one of the best defenses against the spread of breast cancer. Machine learning (ML) tools are now available for cancer detection and prediction. This study presents a comparat...
Iffat Anjum, Nazia Alam, Md. Abdur Razzaque, Mohammad Mehedi Hassan et al.
Body sensor networks (BSNs) carry heterogeneous traffic types having diverse QoS requirements, such as delay, reliability and throughput. In this paper, we design a priority-based traffic load adaptive medium access control (MAC) protocol for BSNs, namely, PLA-MAC, which addresses the aforementioned...
Rezuana Haque, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam
Brain tumors (BTs) are one of the deadliest diseases that can significantly shorten a person's life. In recent years, deep learning has become increasingly popular for detecting and classifying BTs. In this paper, we propose a deep neural network architecture called NeuroNet19. It utilizes VGG19 as ...
Md Manjurul Ahsan, Md Shahin Ali, Md. Mehedi Hassan, Tareque Abu Abdullah et al.
As the world gradually recovers from the impacts of COVID-19, the recent global spread of Monkeypox disease has raised concerns about another potential pandemic, highlighting the urgency of early detection and intervention to curb its transmission. Deep Learning (DL) based disease prediction present...
Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary et al.
In the wake of COVID-19, rising monkeypox cases pose a potential pandemic threat. While less severe than COVID-19, its increasing spread underscores the urgency of early detection and isolation to control the disease. The main difficulty in diagnosing monkeypox arises from its prolonged diagnostic p...
Md Mehedi Hasan Emon, Farheen Hassan, Mehzabul Hoque Nahid, Vichayanan Rattanawiboonsom
This study focuses on predicting the adoption intention of ChatGPT among Professionals in Bangladesh. ChatGPT, powered by natural language processing and artificial intelligence, has the potential to revolutionize communication and enhance productivity in professional settings. The Unified Theory of...
Nazmus Sakib, S. M. Riazul Islam, T.V. Mahendiran, Lway Faisal Abdulrazak et al.
A highly sensitive Photonic Crystal Fiber (PCF) based Surface Plasmon Resonance (SPR) sensor is demonstrated in this paper in the optimized form of circular slotted lattice (CSL) structure. This proposed model performance is numerically scrutinized by using Finite Element Method (FEM) in presence of...