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Results for “"Sakib Hossain Khan"”

16+ results

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

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Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.

Journal: IEEE AccessYear: 2024Citations: 673

Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to understand ...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks

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Mohaimenul Azam Khan Raiaan, Sadman Sakib, Nur Mohammad Fahad, Abdullah Al Mamun et al.

Journal: Decision Analytics JournalYear: 2024Citations: 208

Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL) research for their architectural advantages. CNN relies heavily on hyperparameter configurations, and manually tuning these hyperparameters can be time-consuming for researchers, therefore we need efficient optimization te...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

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Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas Tahir et al.

Journal: SensorsYear: 2022Citations: 87

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several invasive and non-invasive methods have been developed for this purpose. Most exis...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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High sensitivity hollow core circular shaped PCF surface plasmonic biosensor employing silver coat: A numerical design and analysis with external sensing approach

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Md. Biplob Hossain, S. M. Riazul Islam, Khandaker Md. Tasrif Hossain, Lway Faisal Abdulrazak et al.

Journal: Results in PhysicsYear: 2020Citations: 77

This article numerically offers and analyses a hollow core circular shaped photonic crystal fiber-based surface plasmon resonance (CH-PCF-SPR) biosensor. The biosensor sensitivity is analyzed with applying a mode solver built finite element method (FEM) incorporating multi-physics software “COMSOL”....

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Verified

Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.

Year: 2023Citations: 56

<p>Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to un...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals

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Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman et al.

Journal: Biomedical Signal Processing and ControlYear: 2022Citations: 54
Physical SciencesEngineeringBiomedical EngineeringOpen Access
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A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

Verified

Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.

Year: 2023Citations: 47

<p>Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to un...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor’s morphological information

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Muhammad Sakib Khan Inan, Sohrab Hossain, Mohammed Nazim Uddin

Journal: Informatics in Medicine UnlockedYear: 2023Citations: 43

Breast cancer is the world’s second-largest cause of cancer mortality among women. With the progress of artificial intelligence (AI) in healthcare, the survival rate of breast cancer patients has risen in recent years due to early diagnosis and effective prognosis. However, substantial AI research n...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Strategies for Enhancing the Multi-Stage Classification Performances of HER2 Breast Cancer from Hematoxylin and Eosin Images

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Md Sakib Hossain Shovon, Md. Jahidul Islam, Mohammed Nawshar Ali Khan Nabil, Md. Mohimen Molla et al.

Journal: DiagnosticsYear: 2022Citations: 41

Breast cancer is a significant health concern among women. Prompt diagnosis can diminish the mortality rate and direct patients to take steps for cancer treatment. Recently, deep learning has been employed to diagnose breast cancer in the context of digital pathology. To help in this area, a transfe...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An Interpretable Ensemble Approach With Threshold Filtered Single Instance Evaluation (SIE)

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Md Sakib Hossain Shovon, M. F. Mridha, Khan Md. Hasib, Sultan Alfarhood et al.

Journal: IEEE AccessYear: 2023Citations: 37

Breast Cancer (BC) is among women’s most lethal health concerns. Early diagnosis can alleviate the mortality rate by helping patients make efficient treatment decisions. Human Epidermal Growth Factor Receptor (HER2) has become one the most lethal subtype of BC. According to the College of American P...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data

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Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Zaid Bin Mahbub et al.

Journal: Neural Computing and ApplicationsYear: 2023Citations: 33

Abstract Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge from the datasets collected from 930 COVID-19 patients hospitalized in...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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AI literacy of library and information science students: A study of Bangladesh, India and Pakistan

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Zakir Hossain, Md. Sakib Biswas, Ghalib Khan

Journal: Journal of Librarianship and Information ScienceYear: 2025Citations: 31

This study adopted an exploratory approach to investigate the nuances of AI literacy among Library and Information Science (LIS) students in South Asia namely Bangladesh, India and Pakistan. A total of 632 respondents from these countries participated in an online survey that explored their level of...

Physical SciencesComputer ScienceComputer Science Applications
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Predictive modeling of consumer purchase behavior on social media: Integrating theory of planned behavior and machine learning for actionable insights

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Md Shawmoon Azad, Shadman Sakib Khan, Rezwan Hossain, Raiyan Rahman et al.

Journal: PLoS ONEYear: 2023Citations: 29

In recent times, it has been observed that social media exerts a favorable influence on consumer purchasing behavior. Many organizations are adopting the utilization of social media platforms as a means to promote products and services. Hence, it is crucial for enterprises to understand the consumer...

Social SciencesDecision SciencesManagement Science and Operations ResearchOpen Access
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Osteoporosis, an Inevitable Circumstance of Chronic Kidney Disease: A Systematic Review

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Nishat Tasnim, Priyata Dutta, Jannatun Nayeem, Parisha Masud et al.

Journal: CureusYear: 2021Citations: 29

Nowadays, chronic kidney disease (CKD) and osteoporosis have become crucial health-related issues globally. CKD-induced osteoporosis is a systemic disease characterized by the disruption of mineral, hormone, and vitamin homeostasis that elevates the likelihood of fracture. Here, we review recent stu...

Health SciencesMedicineNephrologyOpen Access
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MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals

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Md Shafayet Hossain, Sakib Mahmud, Amith Khandakar, Nasser Al‐Emadi et al.

Journal: BioengineeringYear: 2023Citations: 28

Electroencephalogram (EEG) signals immensely suffer from several physiological artifacts, including electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) artifacts, which must be removed to ensure EEG's usability. This paper proposes a novel one-dimensional convolutional neural n...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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