Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, Dipanjali Kundu et al.
Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare field. Traditionally, the healthcare system works based on centralized agents sharing their raw data. Therefore, huge vulne...
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, Md. Saikat Islam Khan et al.
In recent years, machine learning (ML) and deep learning (DL) have been the leading approaches to solving various challenges, such as disease predictions, drug discovery, medical image analysis, etc., in intelligent healthcare applications. Further, given the current progress in the fields of ML and...
Anichur Rahman, Chinmay Chakraborty, Adnan Anwar, Md. Razaul Karim et al.
The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced...
Anichur Rahman, Kamrul Hasan, Dipanjali Kundu, Md. Jahidul Islam et al.
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...
Anichur Rahman, Md. Anwar Hussen Wadud, Md. Jahidul Islam, Dipanjali Kundu et al.
During the COVID-19 pandemic, there has been a significant increase in the use of internet resources for accessing medical care, resulting in the development and advancement of the Internet of Medical Things (IoMT). This technology utilizes a range of medical equipment and testing software to broadc...
Anichur Rahman, Jahidul Islam, Dipanjali Kundu, Md. Razaul Karim et al.
Summary As an emerging technology, blockchain (BC) has been playing a promising role in today's software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because of the salient feature of the network function virtualization (NFV) techniques, SDN can ensure an IoT system runs e...
Anichur Rahman, Antonio Montieri, Dipanjali Kundu, Md. Razaul Karim et al.
Abstract Blockchain (BC) and software-defined networking (SDN) are leading technologies which have recently found applications in several network-related scenarios and have consequently experienced a growing interest in the research community. Indeed, current networks connect a massive number of obj...
Md. Mahbubur Rahman, Dipanjali Kundu, Sayma Alam Suha, Umme Raihan Siddiqi et al.
Predicting patient’s length of stay (LOS) is a crucial determinant for hospitals to maintain resource efficiency and quality treatment, where machine learning-based predictive approaches can be extremely beneficial. Though the healthcare industry’s increasing adoption of information technology has t...
Dipanjali Kundu, Umme Raihan Siddiqi, Md Mahbubur Rahman
Images of skin lesions may be used to detect this virus, which is a reliable method for identifying the pox virus group. However, early identification and prediction are difficult due to the virus’s resemblance to other pox viruses. An intelligent computer-aided detection system may be a great alter...
Anichur Rahman, Umme Sara, Dipanjali Kundu, Saiful Islam et al.
The concept of Industry 4.0 is a newly emerging focus of research throughout the world. However, it has lots of challenges to control data, and it can be addressed with various technologies like Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Software Defined Networking (SDN), and ...
Saiful Islam, Umme Sara, Abu Kawsar, Anichur Rahman et al.
A real world big dataset with disproportionate classification is called imbalance dataset which badly impacts the predictive result of machine learning classification algorithms. Most of the datasets faces the class imbalance problem in machine learning. Most of the algorithms in machine learning wo...
Anichur Rahman, Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim et al.
Large Language Models (LLMs) such as DeepSeek, ChatGPT, and Google Gemini are transforming the landscape of artificial intelligence and natural language processing through advanced reasoning, multimodal learning, and domain-specific performance. Despite their rapid rise in popularity and broad poten...
Anichur Rahman, Md. Saikat Islam Khan, Antonio Montieri, Md. Jahidul Islam et al.
Abstract The fifth generation (5G) of mobile communications is the most exciting emerging technology for researchers and scientists to get the full benefit of a network system. However, 5G networks confront massive threats and vulnerabilities including protection, privacy, and secrecy. To face these...
Anichur Rahman, Muaz Rahman, Dipanjali Kundu, Md. Razaul Karim et al.
The ever-evolving and contagious nature of the Coronavirus (COVID-19) has immobilized the world around us. As the daily number of infected cases increases, the containment of the spread of this virus is proving to be an overwhelming task. Healthcare facilities around the world are overburdened with ...