61 citations · 201 across the 25 of their papers we have counts for
26 papers
Band-Separated Redundant Communication for a Mars-Analog Rover
Zamiul Rashid, Akid Anis, Tanzim Ahmed +2
Teams in the University Rover Challenge (URC) drive their rovers remotely and often out of sight. The organizers name communication failure as the most common reason a team falls s…
Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation
Ahmed Akib Jawad Karim, Shahria Hoque, Md. Golam Rabiul Alam +1
Organizational success in todays competitive employment market depends on choosing the right staff. This work evaluates software engineer profiles using an automated staff selectio…
DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
Md. Saiful Bari Siddiqui, Md Mohaiminul Islam, Md. Golam Rabiul Alam
Overfitting remains a significant challenge in deep learning, often arising from data outliers, noise, and limited training data. To address this, we previously proposed the Divide…
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation
Ahmed Akib Jawad Karim, Kazi Hafiz Md. Asad, Md. Golam Rabiul Alam
This work focuses on the efficiency of the knowledge distillation approach in generating a lightweight yet powerful BERT based model for natural language processing applications. A…
Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis
Tasnim Sakib Apon, Md. Fahim-Ul-Islam, Nafiz Imtiaz Rafin +2
Knee osteoarthritis(KO) is a degenerative joint disease that can cause severe pain and impairment. With increased prevalence, precise diagnosis by medical imaging analytics is cruc…
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
Sakib Anwar Rieyan, Md. Raisul Kabir News, A. B. M. Muntasir Rahman +6
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 prob…
A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model
Murad Hasan, Shahriar Iqbal, Md. Billal Hossain Faisal +5
Criminal and suspicious activity detection has become a popular research topic in recent years. The rapid growth of computer vision technologies has had a crucial impact on solving…
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification
S. M. Nabil Ashraf, Md. Adyelullahil Mamun, Hasnat Md. Abdullah +1
Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated diagno…
Human Behavior-based Personalized Meal Recommendation and Menu Planning Social System
Tanvir Islam, Anika Rahman Joyita, Md. Golam Rabiul Alam +3
The traditional dietary recommendation systems are basically nutrition or health-aware where the human feelings on food are ignored. Human affects vary when it comes to food cravin…
Multi-modal Hate Speech Detection using Machine Learning
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…
CHNNet: An Artificial Neural Network With Connected Hidden Neurons
Rafiad Sadat Shahir, Zayed Humayun, Mashrufa Akter Tamim +3
In contrast to biological neural circuits, conventional artificial neural networks are commonly organized as strictly hierarchical architectures that exclude direct connections amo…
Affective social anthropomorphic intelligent system
Md. Adyelullahil Mamun, Hasnat Md. Abdullah, Md. Golam Rabiul Alam +2
Human conversational styles are measured by the sense of humor, personality, and tone of voice. These characteristics have become essential for conversational intelligent virtual a…
Interpretable Bangla Sarcasm Detection using BERT and Explainable AI
Ramisa Anan, Tasnim Sakib Apon, Zeba Tahsin Hossain +3
A positive phrase or a sentence with an underlying negative motive is usually defined as sarcasm that is widely used in today's social media platforms such as Facebook, Twitter, Re…
DSE Stock Price Prediction using Hidden Markov Model
Raihan Tanvir, Md Tanvir Rouf Shawon, Md. Golam Rabiul Alam
Stock market forecasting is a classic problem that has been thoroughly investigated using machine learning and artificial neural network based tools and techniques. Interesting asp…
Bengali Handwritten Digit Recognition using CNN with Explainable AI
Md Tanvir Rouf Shawon, Raihan Tanvir, Md. Golam Rabiul Alam
Handwritten character recognition is a hot topic for research nowadays. If we can convert a handwritten piece of paper into a text-searchable document using the Optical Character R…
Sketch2FullStack: Generating Skeleton Code of Full Stack Website and Application from Sketch using Deep Learning and Computer Vision
Somoy Subandhu Barua, Imam Mohammad Zulkarnain, Abhishek Roy +2
For a full-stack web or app development, it requires a software firm or more specifically a team of experienced developers to contribute a large portion of their time and resources…
Explainable AI based Glaucoma Detection using Transfer Learning and LIME
Touhidul Islam Chayan, Anita Islam, Eftykhar Rahman +3
Glaucoma is the second driving reason for partial or complete blindness among all the visual deficiencies which mainly occurs because of excessive pressure in the eye due to anxiet…
BanglaSarc: A Dataset for Sarcasm Detection
Tasnim Sakib Apon, Ramisa Anan, Elizabeth Antora Modhu +3
Being one of the most widely spoken language in the world, the use of Bangla has been increasing in the world of social media as well. Sarcasm is a positive statement or remark wit…
Real Time Action Recognition from Video Footage
Tasnim Sakib Apon, Mushfiqul Islam Chowdhury, MD Zubair Reza +3
Crime rate is increasing proportionally with the increasing rate of the population. The most prominent approach was to introduce Closed-Circuit Television (CCTV) camera-based surve…
Demystifying Deep Learning Models for Retinal OCT Disease Classification using Explainable AI
Tasnim Sakib Apon, Mohammad Mahmudul Hasan, Abrar Islam +1
In the world of medical diagnostics, the adoption of various deep learning techniques is quite common as well as effective, and its statement is equally true when it comes to imple…
Action Recognition using Transfer Learning and Majority Voting for CSGO
Tasnim Sakib Apon, Abrar Islam, MD. Golam Rabiul Alam
Presently online video games have become a progressively favorite source of recreation and Counter Strike: Global Offensive (CS: GO) is one of the top-listed online first-person sh…
Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction
A. K. M. Amanat Ullah, Fahim Imtiaz, Miftah Uddin Md Ihsan +2
The unpredictability and volatility of the stock market render it challenging to make a substantial profit using any generalised scheme. Many previous studies tried different techn…
Affective State Recognition through EEG Signals Feature Level Fusion and Ensemble Classifier
Md. Mahbubur Rahman, Akash Poddar, Md. Golam Rabiul Alam +1
Human affects are complex paradox and an active research domain in affective computing. Affects are traditionally determined through a self-report based psychometric questionnaire…
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
Md. Shirajum Munir, Sarder Fakhrul Abedin, Ki Tae Kim +3
This paper presents a cognitive behavioral-based driver mood repairment platform in intelligent transportation cyber-physical systems (IT-CPS) for road safety. In particular, we pr…