Results for “"Md Abdus Samad Kamal"”

M. A. H. Akhand, Mahfuza Akter Maria, Md Abdus Samad Kamal, Kazuyuki Murase

Electroencephalography (EEG), despite its inherited complexity, is a preferable brain signal for automatic human emotion recognition (ER), which is a challenging machine learning task with emerging applications. In any automatic ER, machine learning (ML) models classify emotions using the extracted ...

Momotaz Begum, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, Mohammad Jakir Hossain et al.

Software defect identification (SDI) is a key part of improving the quality of software projects and lowering the risks that along with maintenance. It does identify the software defect causes that have not been reached yet to get sufficient results. On the other hand, many researchers have recently...

Mahfuza Akter Maria, M. A. H. Akhand, A. B. M. Aowlad Hossain, Md Abdus Samad Kamal et al.

Classifying distinct human emotions, the fundamental purpose of brain-computer interface research, is essential for providing instant personalized services and assistance to individuals. With such emerging applications for individuals, several techniques have been proposed recently to explore intera...

Abu Saleh Bin Shahadat, M. A. H. Akhand, Md Abdus Samad Kamal

Ant Colony Optimization (ACO) is a practical and well-studied bio-inspired algorithm to generate feasible solutions for combinatorial optimization problems such as the Traveling Salesman Problem (TSP). ACO is inspired by the foraging behavior of ants, where an ant selects the next city to visit acco...

S C Das, Suraiya Akter Mumu, M. A. H. Akhand, Abdus Salam et al.

Electroencephalogram (EEG) has emerged as the most favorable source for recognizing brain disorders like epileptic seizure (ES) using deep learning (DL) methods. This study investigated the well-performed EEG-based ES detection method by decomposing EEG signals. Specifically, empirical mode decompos...

Md. Riadul Islam, M. A. H. Akhand, Md Abdus Samad Kamal, Kou Yamada

Speech Emotion Recognition (SER), the extraction of emotional features with the appropriate classification from speech signals, has recently received attention for its emerging social applications. Emotional intensity (e.g., Normal, Strong) for a particular emotional expression (e.g., Sad, Angry) ha...

A. S. M. Bakibillah, Mahmudul Hasan, M.M. Hafizur Rahman, Md Abdus Samad Kamal

G. M. Monirul Alam, Md Nazirul Islam Sarker, Md Abdus Samad Kamal, Most Nilufa Khatun et al.

Bangladesh’s aquaculture sector has contributed progressively to the nation’s economy over the years, but the COVID-19 pandemic has impeded fish farmers’ access to markets, reduced their production and sales capacity, resulted in lower income, and increased food security vulnerability. This study as...

Md. Alal Hosen, Gamal M. Ismail, Ahmet Yıldırım, Md Abdus Samad Kamal

This article analyzes a strongly nonlinear oscillator with cubic and harmonic restoring force and proposes an efficient analytical technique based on the modified energy balance method (MEBM). The proposed method incorporates higher-order approximations. After applying the proposed MEBM, a set of co...

M. A. H. Akhand, Md. Ahsan Habib, Md Abdus Samad Kamal, Nazmul Siddique

Improvement of mobility, especially environment-friendly green mobility, is challenging in existing megacities due to road network complexity and space constraints. Endorsing the bicycle lane network (BLN) in congested megacities is a promising option to foster green mobility. This research presents...

Masum Billah, Md. Likhon Sarker, M. A. H. Akhand, Md Abdus Samad Kamal

Speech Emotion Recognition (SER) identifies and categorizes emotional states by analyzing speech signals. The intensity of specific emotional expressions (e.g., anger) conveys critical directives and plays a crucial role in social behavior. SER is intrinsically language-specific; this study investig...

M. A. H. Akhand, Mahfuza Akter Maria, Md Abdus Samad Kamal, Tetsuya Shimamura

Md. Ahsan Habib, M. A. H. Akhand, Md Abdus Samad Kamal

Microblog, an online-based broadcast medium, is a widely used forum for people to share their thoughts and opinions. Recently, Emotion Recognition (ER) from microblogs is an inspiring research topic in diverse areas. In the machine learning domain, automatic emotion recognition from microblogs is a ...

Md. Nazmus Shakib, Md. Shamim, Md. Nazirul Hasan Shawon, Most. Kaniz Fatema Isha et al.

Abnormal driving of a driver often leads to some undesirable situations. To avoid such circumstances, this paper proposes a driver-adaptive system that can detect abnormality within one’s own driving style. To achieve such a feat, firstly, a soft clustering approach is proposed to determine the driv...

Nusrath Tabassum, Md Abdus Samad Kamal, M. A. H. Akhand, Kou Yamada

Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality. Gene expression data play a crucial role in cancer ...

Md. Riadul Islam, M. A. H. Akhand, Md Abdus Samad Kamal

Juyana Islam, M. A. H. Akhand, Md. Ahsan Habib, Md Abdus Samad Kamal et al.

Studies hitherto have ignored emoticons for REM, which led to the current study where emoticons are translated into relevant emotional words and a REM method is proposed preserving the semantic relationship between texts and emoticons. The recognition is implemented using a Long-Short-Term Memory (L...

Argha Chandra Dhar, Arna Roy, M. A. H. Akhand, Md Abdus Samad Kamal

Vehicular ad hoc networks (VANETs) incorporating vehicles as an active and fast topology are gaining popularity as wireless communication means in intelligent transportation systems (ITSs). The cybersecurity issue in VANETs has drawn attention due to the potential security threats these networks fac...

AKM Akhtaruzzaman, Satyajit Dhar, AKM Asaduzzaman, Md Abdus Samad et al.

Journal of BSA, Vol. 21, No. 1, January 2008 50-52