173 citations · 339 across the 14 of their papers we have counts for
14 papers
FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
Syed Rifat Raiyan, Md Farhan Ishmam, Abdullah Al Imran +1
Human communication heavily relies on laconism and inferential pragmatics, allowing listeners to successfully reconstruct rich meaning from sparse, telegraphic speech. In contrast,…
Batch Augmentation with Unimodal Fine-tuning for Multimodal Fusion of Large Language Models
H M Dipu Kabir, Subrota Kumar Mondal, Mohammad Ali Moni
In this paper, we propose batch augmentation with unimodal fine-tuning for multimodal learning. We start with pre-trained unimodal models. We fine-tune the unimodal models with the…
KDC-Diff: A Latent-Aware Diffusion Model with Knowledge Retention for Memory-Efficient Image Generation
Md. Naimur Asif Borno, Md Sakib Hossain Shovon, Asmaa Soliman Al-Moisheer +1
The growing adoption of generative AI in real-world applications has exposed a critical bottleneck in the computational demands of diffusion-based text-to-image models. In this wor…
Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosis
Md. Naimur Asif Borno, Md Sakib Hossain Shovon, MD Hanif Sikder +3
Accurate and privacy-preserving diagnosis of ophthalmic diseases remains a critical challenge in medical imaging, particularly given the limitations of existing deep learning model…
Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection
Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb +6
This study presents a comprehensive review of the potential of multimodal deep learning (DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of art…
MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting
Nafiz Al Asad, Md. Appel Mahmud Pranto, Shbiruzzaman Shiam +4
Image inpainting is a widely used technique in computer vision for reconstructing missing or damaged pixels in images. Recent advancements with Generative Adversarial Networks (GAN…
Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma
Abanti Bhattacharjya, Md Manowarul Islam, Md Ashraf Uddin +7
With the advent of Information technology, the Bioinformatics research field is becoming increasingly attractive to researchers and academicians. The recent development of various…
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +4
Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors a…
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin
Brain tumors present a grave risk to human life, demanding precise and timely diagnosis for effective treatment. Inaccurate identification of brain tumors can significantly diminis…
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana +4
In this paper have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with dilated CNN (HARDC) method for arrhythmia classification. This…
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam +5
Network intrusion detection systems (NIDSs) play an important role in computer network security. There are several detection mechanisms where anomaly-based automated detection outp…
Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +3
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of biochemical abnormalities. Lung and colon cancer have emerged as two of the leading causes of…
A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets
Khandaker Tayef Shahriar, Iqbal H. Sarker, Muhammad Nazrul Islam +1
This paper formulates the problem of dynamically identifying key topics with proper labels from COVID-19 Tweets to provide an overview of wider public opinion. Nowadays, social med…
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19
Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad +9
Background: Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus is a significant global challenge. Many individuals w…