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 Nazmul Islam, Mehedi Hasan, Md Kabir Hossain, Md. Golam Rabiul Alam et al.
Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major renal diseases categories: kidney stones, cysts, and tumors, and gathered and ...
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. Golam Rabiul Alam, Abdul Kadar Muhammad Masum, Loo‐See Beh, Choong Seon Hong
The aim of this research is to explore factors influencing the management decisions to adopt human resource information system (HRIS) in the hospital industry of Bangladesh-an emerging developing country. To understand this issue, this paper integrates two prominent adoption theories-Human-Organizat...
A. B. M. A. Kaish, Md. Golam Rabiul Alam, M. Jamil, M.F.M. Zain et al.
Md. Sakib Khan, Nishat Salsabil, Md. Golam Rabiul Alam, M. Ali Akber Dewan et al.
Recognizing emotional state of human using brain signal is an active research domain with several open challenges. In this research, we propose a signal spectrogram image based CNN-XGBoost fusion method for recognising three dimensions of emotion, namely arousal (calm or excitement), valence (positi...
Dipanjali Kundu, Md. Mahbubur Rahman, Anichur Rahman, Diganta Das et al.
After the coronavirus disease 2019 (COVID-19) outbreak, the viral infection known as monkeypox gained significant attention, and the World Health Organization (WHO) classified it as a global public health emergency. Given the similarities between monkeypox and other pox viruses, conventional classif...
Md. Golam Rabiul Alam, Sarder Fakhrul Abedin, Seung Il Moon, Ashis Talukder et al.
Human effects are complex phenomena, which are studied for pervasive healthcare and well-being. The legacy pen and paper-based affective state determination methods are limited in their scientific explanation of causes and effects. Therefore, due to advances in intelligence technology, researchers a...
Khan Md. Hasib, Farhana Rahman, Rashik Hasnat, Md. Golam Rabiul Alam
An essential component of the educational activity is rigorous examination and assessment of students' results, with a potential substantial influence on student growth. This paper offers a predictional model for student's success in secondary education using five classification algorithms: Logistic...
Fariha Tahosin Boishakhi, Ponkoj Chandra Shill, Md. Golam Rabiul Alam
With the continuous growth of internet users and media content, it is very hard to track down hateful speech in audio and video. Converting video or audio into text does not detect hate speech accurately as human sometimes uses hateful words as humorous or pleasant in sense and also uses different v...
Md. Golam Rabiul Alam, Md. Shirajum Munir, Md. Zia Uddin, Mohammed Shamsul Alam et al.
Edge-of-Things (EoT)-based healthcare services are forthcoming patient-care amenities related to autonomic and persuasive healthcare, where an EoT broker usually works as a middleman between the Healthcare Service Consumers (HSC) and Computing Service Providers (CSP). The computing service providers...
Sakib Anwar Rieyan, Md. Raisul Kabir News, Atiqur Rahman, Sadia Afrin Khan et al.
Data fabric is an automated and AI-driven data fusion approach to accomplish data management unification without moving data to a centralized location for solving complex data problems. In a Federated learning architecture, the global model is trained based on the learned parameters of several local...
Somak Saha, Chamak Saha, Md. Mahidul Haque, Md. Golam Rabiul Alam et al.
In the Telecommunication Industry (TCI) customer churn is a significant issue because the revenue of the service provider is highly dependent on the retention of existing customers. In this competitive market, it is essential for the service providers to figure out the concerns of their existing cus...
Md. Muzahidul Islam Rahi, Farhan Tanvir Khan, Mohammad Tanvir Mahtab, Ashraf Ullah et al.
Skin cancer is a huge issue which gets neglected very often. Sometimes the human eye is unable to precisely detect diseases from imaging data, in cases of doctor's manual inspection. In this age, we see the rise of use of deep learning methods in our daily life problem solving. Therefore, we develop...
Razin Bin Issa, Modhumonty Das, Md. Saferi Rahman, Monika Barua et al.
Autonomous vehicle navigation in an unknown dynamic environment is crucial for both supervised- and Reinforcement Learning-based autonomous maneuvering. The cooperative fusion of these two learning approaches has the potential to be an effective mechanism to tackle indefinite environmental dynamics....