Nayan Sarker, Prajoy Podder, M. Rubaiyat Hossain Mondal, Sakib Shahriar Shafin et al.
This review paper provides an overview of the latest developments in artificial intelligence (AI)-based antenna design and optimization for wireless communications. Machine learning (ML) and deep learning (DL) algorithms are applied to antenna engineering to improve the efficiency of the design and ...
Md. Rakib Hassan, Gour Karmakar, Joarder Kamruzzaman, Bala Srinivasan
Spectrum frequency is a valuable resource for wireless communication but very limited in its availability. Due to the extensive use and ever increasing demand of spectrum bands by wireless devices and newer applications, unlicensed band is becoming congested, while licensed bands are found mostly un...
Kazi Yasin Islam, Iftekhar Ahmad, Daryoush Habibi, M. Ishtiaque A. Zahed et al.
Underwater wireless communication is a rapidly growing field, especially with the recent emergence of technologies such as autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs). To support the high-bandwidth applications using these technologies, underwater optics has attracted...
Md. Mamunur Rashid, Joarder Kamruzzaman, Mohammad Mehedi Hassan, Sakib Shahriar Shafin et al.
The deployment of large-scale wireless sensor networks (WSNs) for the Internet of Things (IoT) applications is increasing day-by-day, especially with the emergence of smart city services. The sensor data streams generated from these applications are largely dynamic, heterogeneous, and often geograph...
Rabea Khatun, Maksuda Akter, Md. Manowarul Islam, Md. Ashraf Uddin et al.
Biomarker-based cancer identification and classification tools are widely used in bioinformatics and machine learning fields. However, the high dimensionality of microarray gene expression data poses a challenge for identifying important genes in cancer diagnosis. Many feature selection algorithms o...
Abdullahi Chowdhury, Sakib Shahriar Shafin, Saleh Masum, Joarder Kamruzzaman et al.
Increasing adoption of electric vehicles (EVs) and the expansion of EV charging infrastructure present opportunities for enhancing sustainable transportation within smart cities. However, the interconnected nature of EV charging stations (EVCSs) exposes this infrastructure to various cyber threats, ...
Mohammad Manzurul Islam, Gour Karmakar, Joarder Kamruzzaman, Manzur Murshed et al.
Image sensors are generating limitless digital images every day. Image forgery like splicing and copy-move are very common type of attacks that are easy to execute using sophisticated photo editing tools. As a result, digital forensics has attracted much attention to identify such tampering on digit...
M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder, Joarder Kamruzzaman
Since December 2019, a novel coronavirus disease (COVID-19) has infected millions of individuals. This paper conducts a thorough study of the use of deep learning (DL) and federated learning (FL) approaches to COVID-19 screening. To begin, an evaluation of research articles published between 1 Janua...
Parnab Saha, Mohammed Shoib, Joarder Kamruzzaman
S. H. Shah Newaz, Ehsan Ahvar, Md. Shamim Ahsan, Joarder Kamruzzaman et al.
The Passive Optical Network (PON) has been evolving continuously in terms of architecture and capacity to keep up with the demand for high-speed Internet access in the access network segment. Recently, integration of Software-Defined Networking (SDN), which provides programmable and (logically) cent...
Nusrat Zerin Zenia, M. Shamim Kaiser, Mufti Mahmud, Muhammad R. Ahmed et al.
The Underwater sensor network (UWSN), also known as Marine Sensor Network (MSN), is gaining increasing attention due to its applications in the monitoring of the marine environment and assisting Marine Intelligent Transportation Systems (MITS). Such systems provide in-vehicle assistance services (i....
Sohel Rana, M. Rubaiyat Hossain Mondal, Joarder Kamruzzaman
Abstract Internet security has become a major concern with the growing use of the Internet of Things (IoT) and edge computing technologies. Even though data processing is handled by the edge server, sensitive data is generated and stored by the IoT devices, which are subject to attack. Since most Io...
Abdullahi Chowdhury, Shahriar Kaisar, Md. Mamunur Rashid, Sakib Shahriar Shafin et al.
Telecommunication service providers are going through a very competitive and challenging time to retain existing customers by offering new and attractive services (e.g., unlimited local and international calls, high-speed internet, new phones). It is therefore imperative to analyse and predict custo...
Joarder Kamruzzaman, Syed Mahfuzul Aziz
Proposes a neural network based invariant character recognition system using double backpropagation network. The model consists of two parts. The first is a preprocessor which is intended to produce a translation, rotation and scale invariant representation of the input pattern. The second is a neur...
Arju Manara Begum, M. Rubaiyat Hossain Mondal, Prajoy Podder, Joarder Kamruzzaman
Background: Feature selection (FS), a crucial preprocessing step in machine learning, greatly reduces the dimension of data and improves model performance. This paper focuses on selecting features for medical data classification. Methods: In this work, a new form of ensemble FS method called weighte...