Md Abdur Rahim

• Doctor of Philosophy
• Professor (Associate) at Pabna University of Science and Technology

Advanced artificial intelligence technologies such as ChatGPT and other large language models (LLMs) have significantly impacted fields such as education and research in recent years. ChatGPT benefits students and educators by providing personalized feedback, facilitating interactive learning, and introducing innovative teaching methods. While many...

The Internet of Things (IoT) and mobile technology have significantly transformed healthcare by enabling real-time monitoring and diagnosis of patients. Recognizing Medical-Related Human Activities (MRHA) is pivotal for healthcare systems, particularly for identifying actions critical to patient well-being. However, challenges such as high computat...

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by difficulties in attention, hyperactivity, and impulsivity. Early and accurate diagnosis of ADHD is critical for effective intervention and management. Electroencephalogram (EEG) signals have emerged as a non-invasive and efficient t...

Emotion recognition in speech is essential for enhancing human-computer interaction (HCI) systems. Despite progress in Bangla speech emotion recognition, challenges remain, including low accuracy, speaker dependency, and poor generalization across emotional expressions. Previous approaches often rely on traditional machine learning or basic deep le...

Virtual keyboard-based non-touch character input systems present an advanced communication method between humans and computers, offering interaction in challenging environments like industrial settings. Extensive research has explored touch and touchless input methods, including hand gestures, aerial handwriting, sign language recognition, and fing...

In the future, the wireless communication network’s data handling capability will be exhausted due to various type of Internet of Things (IoT) devices being incorporated and extensive data rate, and these networks will be unable to meet the traffic demand, so it is necessary to think about the improvement of bandwidth efficiency. The radio interfac...

(NEW UPDATE) List of Scopus Index Journals September 2024 (New) https://downloads.ctfassets.net/o78em1y1w4i4/7xtaTxNiNcWRTeZkV86eNy/ffc354028e87d773f15abaef967fbe31/ext_list_September_2024.xlsx Content types included on Scopus are either serial publications that have an ISSN (International Standard Serial Number) such as journals, book series and s...

Human Interaction Recognition (HIR) between two people in videos is a critical field in computer vision and pattern recognition, aimed at identifying and understanding human interaction and actions for applications such as healthcare, surveillance, and human-computer interaction. Despite its significance, video-based HIR faces challenges in achievi...

In this paper, we propose a framework for multiuser mmWave DCT-Spread CP-less OFDM communication system and analyze it comprehensively. Due to excessive cyclic prefix (CP) usage in conventional multicarrier systems, spectral efficiency reduces and increases transmission latency. Our proposed system enhances spectral efficiency and reduces transmiss...

Researchers have been developing Hand Gesture Recognition (HGR) systems to enhance natural, efficient, and authentic human-computer interaction, especially benefiting those who rely solely on hand gestures for communication. Despite significant progress, automatic and precise identification of hand gestures remains a considerable challenge in compu...

WR-OCDM System for B5G Wireless Communications

The Bengali language is the 5th most spoken native and 7th most spoken language in the world, and Bengali handwritten character recognition has attracted researchers for decades. However, other languages such as English, Arabic, Turkey, and Chinese character recognition have contributed significantly to developing handwriting recognition systems. S...

The context of recognizing handwritten city names, this research addresses the challenges posed by the manual inscription of Bangladeshi city names in the Bangla script. In today’s technology-driven era, where precise tools for reading handwritten text are essential, this study focuses on leveraging deep learning to understand the intricacies of Ba...

In the modern context, hand gesture recognition has emerged as a focal point. This is due to its wide range of applications, which include comprehending sign language, factories, hands-free devices, and guiding robots. Many researchers have attempted to develop more effective techniques for recognizing these hand gestures. However, there are challe...

Researchers have been developing Hand Gesture Recognition (HGR) systems to enhance natural, efficient, and authentic human-computer interaction, especially benefiting those who rely solely on hand gestures for communication. Despite significant progress, the automatic and precise identification of hand gestures remains a considerable challenge in c...

Handwriting is a unique and significant human feature that distinguishes them from one another. There are many researchers have endeavored to develop writing recognition systems utilizing specific signatures or symbols for person identification through verification. However, such systems are susceptible to forgery, posing security risks. In respons...

This work focuses on the study of the paraxial wave model with a space–time fractional form. This model has more importance for describing light propagation in nonlinear optical fibers and telecommunication lines. The main aim of this work is to observe the effect of the fractional parameters and compare the truncated M\documentclass[12pt]{minimal}...

Handwriting is controlled by neurons in the brain’s nervous system, reflecting an individual’s personality and psychology. This unique characteristic can be used for various applications, including user authentication, assessment of neurodegenerative disorders, and classification of handedness, gender, and age groups. Traditional authentication sys...

Handwriting is controlled by neurons in the brain's nervous system, reflecting an individual's personality and psychology. This unique characteristic can be used for various applications, including user authentication, assessment of neurodegenerative disorders, and classification of handedness, gender, and age groups. Traditional authentication sys...

Speech is essential to human communication; therefore, distinguishing it from noise is crucial. Speech separation becomes challenging in real-world circumstances with background noise and overlapping speech. Moreover, the speech separation using short-term Fourier transform (STFT) and discrete wavelet transform (DWT) addresses time and frequency re...

Eye diseases, a significant global health concern, require timely detection to prevent vision loss. The alarming prevalence of eye diseases necessitates immediate action through early diagnosis, making it urgent to develop an automatic detection system. Many researchers have been working to develop such systems. Yet, existing solutions still face d...

Recently, there have been notable advancements in wireless communication systems to address the deficiencies of fourth generation (4G) wireless technology, such as insufficient spectrum bandwidth, slow data transfer rates, and constrained network capacity. These issues may be addressed in fifth generation (5G) wireless technology, which is no longe...

Recently, fifth-generation (5G) mobile connectivity has been launched in Bangladesh on a trial-run basis. 5G is a super-speed mobile network that is much faster than the existing fourth-generation (4G) technology. It is excruciatingly hard to deploy a fully functioning 5G in any country regardless of its available resources and technological advanc...

In today’s world, there is a growing demand for potatoes that are produced professionally, successfully, and sustainably. This is due to changing climate conditions, worldwide population growth, and changing consumer demand. It is more crucial than ever to increase production capacity in order to satisfy future demand. However, insects and diseases...

An ultra-wideband (UWB) slotted compact Vivaldi antenna with a microstrip line feed was evaluated for microwave imaging (MI) applications. The recommended FR4 substrate-based Vivaldi antenna is 50×50×1.5 mm3 in size. The proposed compact Vivaldi antenna showed good radiation characteristics and spanned an ultra-wide bandwidth of 10 GHz, ranging fro...

The advancement of wireless communication technology is growing very fast. For next-generation communication systems (like 5G mobile services), wider bandwidth, high gain, and small-size antennas are very much needed. Moreover, it is expected that the next-generation mobile system will also support satellite technology. Therefore, this paper propos...

Diabetes is a long-term disease caused by the human body's inability to make enough insulin or to use it properly. This is one of the curses of the present world. Although it is not very severe in the initial stage, over time, it takes a deadly shape and gradually affects a variety of human organs, such as the heart, kidney, liver, eyes, and brain,...

Diabetes is a long-term disease caused by the human body's inability to make enough insulin or to use it properly. This is one of the curses of the present world. Although it is not very severe in the initial stage, over time, it takes a deadly shape and gradually affects a variety of human organs, such as the heart, kidney, liver, eyes, and brain,...

Colorectal Cancer (CRC) is the most malignant tumor of the large intestine. In the beginning, some non-cancerous clumps of cells called polyps grow inside the intestine and over the time some of those polyps become CRC. People who are affected by CRC have a significant risk of occurring comorbidities like amyotrophic lateral sclerosis, attention de...

Communication between people with disabilities and people who do not understand sign language is a growing social need and can be a tedious task. One of the main functions of sign language is to communicate with each other through hand gestures. Recognition of hand gestures has become an important challenge for the recognition of sign language. The...

In this paper, a multiband miniaturized crescent-shaped patch antenna with circular slots is presented for ultra-wideband applications. The proposed antenna is constructed on a Flame Retardant 4 (FR-4) dielectric substrate. Next-generation wireless communication systems, such as beyond 5G (B5G) and 6G mobile communication systems require a wider ba...

In this research, the ðΨ, ΦÞ-expansion scheme has been implemented for the exact solutions of the fractional Clannish Random Walker's parabolic (FCRWP) equation and the nonlinear fractional Cahn-Allen (NFCA) equation. Some new solutions of the FCRWP equation and the NFCA equation have been obtained by using this method. The diverse variety of exact...

Sign language recognition is one of the most challenging applications in machine learning and human-computer interaction. Many researchers have developed classification models for different sign languages such as English, Arabic, Japanese, and Bengali; however, no significant research has been done on the general-shape performance for different dat...

Human hand gestures are becoming one of the most important, intuitive, and essential means of recognizing sign language. Sign language is used to convey different meanings through visual-manual methods. Hand gestures help the hearing impaired to communicate. Nevertheless, it is very difficult to achieve a high recognition rate of hand gestures due...

This present study examines the closed-form wave results (CFWRs) of the nonlinear time-fractional model (NLTFM) with Atangana’s conformable fractional derivative (ACFD) through the unified process. ACFD and its properties are included. Then, by proposing the studied approach, the CFWRs of NLTFMs, displayed with the ACFD, are classified. This model...

Traffic sign recognition is a critical aspect of intelligent transportation systems that enhances road safety, traffic management, and driver assistance. Notably, while significant research efforts have been devoted to many prevalent traffic signs, Bangladeshi sign recognition remains relatively underexplored due to a lack of traffic sign knowledge...

Sign language (SL) recognition is intended to connect deaf people with the general population via a variety of perspectives, experiences, and skills that serve as a basis for the development of human-computer interaction. Hand gesture-based SL recognition encompasses a wide range of human capabilities and perspectives. The efficiency of hand gestur...

Motor imagery (MI) from human brain signals can diagnose or aid specific physical activities for rehabilitation, recreation, device control, and technology assistance. It is a dynamic state in learning and practicing movement tracking when a person mentally imitates physical activity. Recently, it has been determined that a brain–computer interface...

A non-touch character input is a modern system for communication between humans and computers that can help the user to interact with a computer, a machine, or a robot in unavoidable circumstances or industrial life. There have been many studies in the field of touch and non-touch character input systems (i.e., hand gesture languages), such as aeri...

Handedness detection has an effective role in classifying different criminal suspects into specific categories according to soft biometric properties. It determines human motor skills that are performed with the dominant hand while doing everyday activities such as writing and throwing. In this context, this paper offers a system that extracts the...

Nowadays, gesture-based technology is revolutionizing the world and lifestyles, and the users are comfortable and care about their needs, for example, in communication, information security, the convenience of day-to-day operations and so forth. In this case, hand movement information provides an alternative way for users to interact with people, m...

The non-touch system is a modern approach of computer-interface technology capable of revolutionizing human-computer interaction. The interface allows the user to input data and interact with a human, machine or robot in an uncontrolled environment, treatment or industrial life. However, it is challenging to input data into the machine and interact...

User authentication has become an essential security element that enables a wide range of applications in P2P systems for higher security and safety requirements. In previous, many researchers worked on user authentication based on certificates, passwords, and feature-based authentication (e.g. face recognition, fingerprint detection, iris recognit...

Gesture-based input devices are contributing to advanced technology for the protection of confidential information and the convenience of day-to-day operations. There are many touches and non-touch devices that can handle user interface elements using a natural hand gesture such as a tablet display, smartphone, tablet PC with a sensor. However, han...

Sleep disorders have a significant effect on psychological depression and many other human diseases. Nowadays, technology, as well as innovation, has become an essential and analytical part of the world. Detection of sleep disorders by brain waves has become a dynamic study. From this point of view, this paper proposed a model for detecting sleep d...

Signatures are used in many situations of daily life. In many non-English-speaking countries like Japan, in general people are not familiar with English and they do not have English signatures in most cases. English signatures are written by combining the letters of the English alphabet in cursive. Many people find difficulty in writing English in...

Signatures are used in many situations of daily life. In many non-English-speaking countries like Japan, in general people are not familiar with English and they do not have English signatures in most cases. English signatures are written by combining the letters of the English alphabet in cursive. Many people find difficulty in writing English in...

The objective of this paper is to develop a tool to identify the white blood cells from blood smear images through segmentation. In our research work, we have identified white blood cells from color images of blood smears. We have used the Fuzzy C Means segmentation method and erosion and dilation post-processing method to identify the white blood...

This paper deals with LP based Mel-Generalized cepstrum which has been used as front-end for Hidden Markov Model (HMM) based speech recognition and it incorporates equal-loudness power law as well as auditory-like frequency resolution. To utilize the generalized cepstral representation, the model spectrum can be varied continuously from the all-pol...

Hand gesture-based sign language recognition is a prosperous application of human– computer interaction (HCI), where the deaf community, hard of hearing, and deaf family members communicate with the help of a computer device. To help the deaf community, this paper presents a non-touch sign word recognition system that translates the gesture of a si...

The most popular way of learning oriental calligraphy has been by practicing the calligraphy under the supervision of a human teacher, but finding a good instructor can be difficult. There are a number of studies in the literature that have evaluated calligraphic characters in holistic ways, but such systems do not support detailed supervision of s...

The calligraphy is widely known in the oriental countries and has received art and high evaluation in history. The calligraphy is not only intended as a means of communication but also as a traditional culture that shows the artist using bristles and ink. The artwork is a cooperative process that involves the unique features of an ink painting devi...

Gesture-based sign language recognition systems play an important role in human-computer interaction to develop communication between deaf communities and other people. Where the deaf community, hard of hearing, and deaf family members express their feelings and communicate with others. In this case, hand gestures have been a promising subject and...

Sleep disorders has a vital effect on mental depression and many other diseases of human body. Diagnosing the sleep disorder in an early curable stage may help to provide better treatment and save the life. The EEG (Electroencephalogram) signal is one of the most uses bio signal for capturing brain activities to detect and diagnosis the sleep disor...

The hand gesture provides a natural and intuitive communication medium for the human and machine interaction. Because, it can use in virtual reality, language detection, computer games, and other human-computer or human-machine instruction applications. Currently , the sensor and camera-based application is a field of interest for many researchers....

Abstract Background/Objectives: Image stitching can enhance the picture very pleasant by modifying and mixing the different aspects.Therefore, we present panoramic image stitching with efficient brightness fusion which is challenging in different bright sequences taken from different angles. Methods/Statistical analysis:For the problem of brightnes...

In this paper, we present machine learning method to recognize the character. It is developed off-line strategies for the integrated handwritten and printed English character and numbers. This method improves the character recognition method. Preprocessing of the Character is used binarization, thresholding and segmentation method. The proposed met...

Due to the availability of large scale experimental data of protein-protein interaction, it remains a challenging task to predict the protein's function from those high-throughput datasets. Widespread presence of false positive interaction and annotation error in public protein databases are the primary barrier in this case. Considering this fact,...

ECG signal plays an important role in the primary diagnosis and analysis of heart diseases. The feature of ECG signal with time-varying morphological characteristics needs to be extracted by signal processing method because there are not clearly visible in the graphical ECG signal. For analyzing this kind of signal wavelet transforms are a powerful...

This paper presents an overview of visual recognition of Bengali Sign Language. In this paper we learn and detect a sequence of sign words and recognize the sign language that are understandable to the deaf and hearing impaired people to help normal people understand the meaning of these words. The research discusses the characteristics of the huma...

This paper incorporates a comprehensive study about the distributed power control algorithm in cellular communication systems. The algorithm requires only interference power estimations and/or signal-to-interference ratio (SIR) estimations form the base station, and converge even in cases where limits on available power render the target SIR unatta...

The face of a human being conveys a lot of information about identity and emotional state of the person. Face recognition is an interesting and challenging problem, and impacts important applications in many areas such as identification for law enforcement, authentication for banking and security system access, and personal identification among oth...

This paper incorporates a comprehensive study about the distributed power control algorithm in cellular communication systems. The algorithm requires only interference power estimations and/or signal-to-interference ratio (SIR) estimations form the base station, and converge even in cases where limits on available power render the target SIR unatta...