16 citations · 45 across the 20 of their papers we have counts for
21 papers
A Lightweight CNN Integrated Compact Convolutional Transformer for Multi-Scale Feature Learning and reducing computational complexity for breast cancer mammography image detection and classification
Md Taimur Ahad, Ainuddin Ahmed
Over the years, Convolutional Neural Networks (CNNs) have demonstrated strong capability in cancer detection and classification using medical images. However, CNN-based models ofte…
BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection
Md Taimur Ahad, Bo Song, Yan Li
The noise of Magnetic Resonance Imaging MRI poses challenges for Deep Learning DL when tumor boundaries are obscured tumor location and appearance are complex Therefore we develop…
A Novel Transfer Learning Approach for Mental Stability Classification from Voice Signal
Rafiul Islam, Md. Taimur Ahad
This study presents a novel transfer learning approach and data augmentation technique for mental stability classification using human voice signals and addresses the challenges as…
R-Net: A Reliable and Resource-Efficient CNN for Colorectal Cancer Detection with XAI Integration
Rokonozzaman Ayon, Md Taimur Ahad, Bo Song +1
State-of-the-art (SOTA) Convolutional Neural Networks (CNNs) are criticized for their extensive computational power, long training times, and large datasets. To overcome this limit…
A study on Deep Convolutional Neural Networks, transfer learning, and Mnet model for Cervical Cancer Detection
Saifuddin Sagor, Md Taimur Ahad, Faruk Ahmed +2
Early and accurate detection through Pap smear analysis is critical to improving patient outcomes and reducing mortality of Cervical cancer. State-of-the-art (SOTA) Convolutional N…
DVS: Blood cancer detection using novel CNN-based ensemble approach
Md Taimur Ahad, Israt Jahan Payel, Bo Song +1
Blood cancer can only be diagnosed properly if it is detected early. Each year, more than 1.24 million new cases of blood cancer are reported worldwide. There are about 6,000 cance…
A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
Md Taimur Ahad, Sumaya Mustofa, Faruk Ahmed +2
In deep learning, transfer learning and ensemble models have shown promise in improving computer-aided disease diagnosis. However, applying the transfer learning and ensemble model…
A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
Md Taimur Ahad, Sajib Bin Mamun, Sumaya Mustofa +2
Over the years in object detection several efficient Convolutional Neural Networks (CNN) networks, such as DenseNet201, InceptionV3, ResNet152v2, SEresNet152, VGG19, Xception gaine…
A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)
Sabit Ahamed Preanto, Md. Taimur Ahad, Yousuf Rayhan Emon +2
Acute lymphoblastic leukaemia (ALL) is a blood malignancy that mainly affects adults and children. This study looks into the use of deep learning, specifically Convolutional Neural…
A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO
Sabit Ahamed Preanto, Md. Taimur Ahad, Yousuf Rayhan Emon +2
This research introduces an advanced method for diagnosing diseases in sweet orange leaves by utilising advanced artificial intelligence models like YOLOv8 . Due to their significa…
Developing an efficient corpus using Ensemble Data cleaning approach
Md Taimur Ahad
Despite the observable benefit of Natural Language Processing (NLP) in processing a large amount of textual medical data within a limited time for information retrieval, a handful…
A Comprehensive Literature Review on Sweet Orange Leaf Diseases
Yousuf Rayhan Emon, Md Golam Rabbani, Md. Taimur Ahad +1
Sweet orange leaf diseases are significant to agricultural productivity. Leaf diseases impact fruit quality in the citrus industry. The apparition of machine learning makes the dev…
Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive Review
Auvick Chandra Bhowmik, Md. Taimur Ahad, Yousuf Rayhan Emon
Jamun leaf diseases pose a significant threat to agricultural productivity, negatively impacting both yield and quality in the jamun industry. The advent of machine learning has op…
Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review
Faruk Ahmed, Md. Taimur Ahad, Yousuf Rayhan Emon
Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching implications for yield and quality in the tea industry. The rise of machine learning has ena…
Securing Refugee Identity: A Literature Review on Blockchain-based Smart Contract
Md Taimur Ahad, Yousuf Rayhan Emon
Identity documentation for refugees is a complex process and crucial for host nations. A secured identity management system ensures both security and the efficient provision of ser…
A comprehensive review on Plant Leaf Disease detection using Deep learning
Sumaya Mustofa, Md Mehedi Hasan Munna, Yousuf Rayhan Emon +2
Leaf disease is a common fatal disease for plants. Early diagnosis and detection is necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting lea…
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network
Sudipto Paul, Md Taimur Ahad, Md. Mahedi Hasan
An expansion of aberrant brain cells is referred to as a brain tumor. The brain's architecture is extremely intricate, with several regions controlling various nervous system proce…
Towards a secured smart IoT using light weight blockchain: An aim to secure Pharmacy Products
Md. Faruk Abdullah Al Sohan, Samiur Rahman Khan, Nusrat Jahan Anannya +1
Blockchain has proven a very developed and secured technology. It ensures data integrity with authentic connected nodes. Now-a-days, blockchain with IoT is a great combination for…
IoT based SMEs shop management system
Ummae Hamida Hannan, Md Reaz Uddin Chowdhury, Md. Goalm Rahaman +2
The Internet of Things (IoT) is an idea that intends to interface arranged data frameworks to actual items. The Internet of Things (IoT) has applications in pretty much every part…
Mobile phone enabled Supply chain management in the RMG sector: A conceptual framework
Md. Taimur Ahad
Relatively little is known about mobile phone use in a Supply Chain Management (SCM) context, especially in the Bangladeshi Ready-Made Garment (RMG) industry. RMG is a very importa…
Toward IoT enabled smart offices: Achieving Sustainable Development Goals
Syeda Nishat Tasnim, Md Taimur Ahad
Despite research advocating the Internet of Things (IoT) as an effective in-office monitoring system, little research has presented societal and climate centric discussions. Wherea…