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Results for “"Md. Asif Rakib Khan"”

21+ results

Designing of a Multi-epitope Vaccine against the Structural Proteins of Marburg Virus Exploiting the Immunoinformatics Approach

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Saad Ahmed Sami, Kay Kay Shain Marma, Shafi Mahmud, Md. Asif Nadim Khan et al.

Journal: ACS OmegaYear: 2021Citations: 98

direct contact with infected individuals or animals. Despite being considered to be less threatening in terms of appearances and the number of infected patients, the high fatality rate of this pathogenic virus is a major concern. Until now, no vaccine has been developed to combat this deadly virus. ...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and prediction

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Md. Mehedi Hassan, Md. Mahedi Hassan, Farhana Yasmin, Md. Asif Rakib Khan et al.

Journal: Decision Analytics JournalYear: 2023Citations: 79

Breast cancer is the most common life-threatening cancer in women and one of the leading causes of death. Early diagnosis is one of the best defenses against the spread of breast cancer. Machine learning (ML) tools are now available for cancer detection and prediction. This study presents a comparat...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness

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Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Md. Asif Rakib Khan, Md. Mahedi Hassan et al.

Journal: IEEE AccessYear: 2023Citations: 58

Rainfall prediction plays a crucial role in raising awareness about the potential dangers associated with rain and enabling individuals to take proactive measures for their safety. This study aims to utilize machine learning algorithms to accurately predict rainfall, considering the significant impa...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records

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Md. Mehedi Hassan, Md. Mahedi Hassan, Swarnali Mollick, Md. Asif Rakib Khan et al.

Journal: Human-Centric Intelligent SystemsYear: 2023Citations: 48

Abstract Chronic Kidney Disease (CKD) has become a major problem in modern times, and it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues, early identification may minimize the prevalence of chronic diseases, though it is quite difficult because of different ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.

Journal: Frontiers in MedicineYear: 2022Citations: 35

Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous because of the complex structure of cancerous lesions in different imaging modalities, high degree of resemblance between inter-classes, presence of dissimilar characteristics in intra-classes, scarcity of medic...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis

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Xuehan Liu, Md Rakibul Hasan, Khandaker Asif Ahmed, Md Zakir Hossain

Journal: BMC BioinformaticsYear: 2023Citations: 32

BACKGROUND: With the global spread of COVID-19, the world has seen many patients, including many severe cases. The rapid development of machine learning (ML) has made significant disease diagnosis and prediction achievements. Current studies have confirmed that omics data at the host level can refle...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Machine-Learning-Enabled Multimode Fiber Specklegram Sensors: A Review

Verified

Asif Newaz, Md. Omar Faruque, Rabiul Al Mahmud, Rakibul Hasan Sagor et al.

Journal: IEEE Sensors JournalYear: 2023Citations: 25

Multimode fiber (MMF) specklegram sensors have recently drawn significant attention due to the incorporation of machine learning (ML) algorithms in detecting different sensing parameters. Deep learning (DL) techniques provide an efficient way of extracting information from fiber specklegrams, which ...

Physical SciencesEngineeringElectrical and Electronic Engineering
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Diagnosing Autism Spectrum Disorder Using Ensemble 3D-CNN: A Preliminary Study

Verified

Jingsheng Deng, Md Rakibul Hasan, Minhaz Mahmud, Md. Mahbub Hasan et al.

Journal: 2022 IEEE International Conference on Image Processing (ICIP)Year: 2022Citations: 21

Autism spectrum disorder (ASD) is a neuro-developmental disorder that results in behavioural retardation in verbal communications and social interactions. Traditional ASD detection methods involve assessing patients’ behavioural patterns by medical practitioners, which often lack credibility and pre...

Life SciencesNeuroscienceCognitive Neuroscience
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Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images

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Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan et al.

Journal: IEEE AccessYear: 2024Citations: 18

A novel automated multi-classification approach is proposed for the anticipation of lung abnormalities using chest X-ray and CT images. The study leverages a publicly accessible dataset with an insufficient and unbalanced number of images, addressing this issue by employing the data augmentation app...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Depression Detection system with Statistical Analysis and Data Mining Approaches

Verified

Md. Mehedi Hassan, Md. Asif Rakib Khan, Khan Kamrul Islam, Md. Mahedi Hassan et al.

Year: 2021Citations: 14

Depression is a serious medical illness that is caused by various causes. In this study, we have developed prediction models by classifying depression datasets which are taken from Kaggle. We have focused on feature selection. After preprocessing data, we have selected features by applying Logistic ...

Health SciencesHealth ProfessionsHealth Information Management
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Early Detection of Glaucoma Using Fuzzy Logic in Bangladesh Context

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Nazmul Alam Diptu, Md Asif Khan, Sujit Debnath, Abdullah Al Imam et al.

Year: 2018Citations: 7

Detecting Glaucoma at an early stage is very crucial to prevent irreversible vision loss. Glaucoma detection often requires advanced diagnosis which are not accessible to most of the hospitals in a developing country like Bangladesh. Therefore, detection of Glaucoma with the help of common and fewer...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Significant pathway and biomarker identification of pancreatic cancer associated lung cancer

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Tamanna Khan, Bikash Kumar Paul, Md. Tanvir Hasan, Md Rakib Islam et al.

Journal: Informatics in Medicine UnlockedYear: 2021Citations: 6

Pancreatic Cancer (PC) is the seventh leading cause of cancer-related death worldwide and one of the deadliest malignant neoplasms. It is difficult to diagnose at an early stage. Lung Cancer (LC) is the second most common cancer and a malignant tumor which spreads into nearby tissues through metasta...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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Application of RCM-Based Climate Change Indices in Assessing Future Climate: Part II—Precipitation Concentration

Verified

Md Mujibur Rahman, Adnan Rajib, Masooma Hassan, Syeed Md Iskander et al.

Journal: World Environmental And Water Resources Congress 2012Year: 2012Citations: 6

A major dimension of climate change for south-Asia includes more erratic precipitation events, precipitation being highly intensive with large variability in individual months. Such aberrant characteristics of precipitation are gradually resulting consequences of multi-dimensional impacts. This pape...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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L‐quebrachitol Modulates the Anti‐convulsant Effects of Carbamazepine Possibly Through Voltage‐gated Sodium Channel Blocking Mechanism in Chicks: In Vivo and In Silico Studies

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Asifa Asrafi, M. Aslam, Ali G. Alkhathami, Md. Sakib Hossain et al.

Journal: Brain and BehaviorYear: 2025Citations: 3

INTRODUCTION: L-Quebrachitol (LQB), a naturally occurring bioactive compound, exhibits anti-inflammatory, anti-oxidant, anti-cancer, and anti-diabetic properties. However, its therapeutic potential in convulsant management remains largely unexplored. The objective of this study was to investigate th...

Health SciencesMedicinePediatrics, Perinatology and Child HealthOpen Access
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Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease

Verified

Jin Si Lam, Md Rakibul Hasan, Khandaker Asif Ahmed, Md Zakir Hossain

Journal: Communications in computer and information scienceYear: 2022Citations: 3
Health SciencesMedicinePathology and Forensic Medicine
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Machine Learning for Predicting Cancer Severity

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Alex R. Qin, Md Rakibul Hasan, Khandaker Asif Ahmed, Md Zakir Hossain

Journal: 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)Year: 2022Citations: 3

Cancer is an extremely heterogeneous disease, and this property becomes increasingly exacerbated as the disease progresses. Its heterogeneity can be reflected by protein signature, called its proteome, which is essentially a dataset indicating which proteins are highly expressed or lowly expressed i...

Physical SciencesChemistrySpectroscopy
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Economically reproducible surface-enhanced Raman spectroscopy of different compounds in thin film

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A.B.M.O. Islam, Fariha Tasneem, Zulfiqar Hasan Khan, Asif Rakib et al.

Journal: Journal of Bangladesh Academy of SciencesYear: 2021Citations: 2

We report herein an economically cheap and functionally stable surfaceenhanced Raman scattering (SERS) protocol of two photoactive pigments Rhodamine 6G (R6G) and Kiton Red (KR), implemented in thin films of silver (Ag) and gold (Au) nanoparticles (AgNPs and AuNPs). Both commercially available and c...

Physical SciencesMaterials ScienceElectronic, Optical and Magnetic MaterialsOpen Access
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Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models

Verified

Yiheng Du, Khandaker Asif Ahmed, Md Rakibul Hasan, Md Zakir Hossain

Journal: IET Systems BiologyYear: 2025Citations: 1

Antibiotic pollution in the environment can significantly impact soil microorganisms, such as altering the soil microbial community or emerging antibiotic-resistant bacteria. We propose three machine learning (ML) methods to investigate antibiotics' impact on microorganisms and predict microbial abu...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Edge-Integrated Multi-Modal Intelligent Autonomous Vehicle with Voice Commands and Obstacle Avoidance Using Deep Learning

Verified

Abdul Hasib, S. M. Khalid Bin Zahid, Md. Rakibul Hasan Nishat, S. M. Masudur Rahman et al.

Year: 2026

Most autonomous systems operate in isolated modes without dynamic transition capabilities. This paper presents an integrated framework that combines the manual, voice, and autonomous control schemes onto Raspberry Pi and overcome the problem of fulfilling resource-limited hardware with flexible mult...

Physical SciencesEngineeringAutomotive Engineering
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Neuroprotective Properties of <i>Litchi chinensis</i> and Its Phytochemicals in Preclinical Models of Alzheimer's Disease

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Emon Mia, Md. Arif Hossain, Asmaul Husna Bristy, Rakib Hossan et al.

Journal: Brain and BehaviorYear: 2026

PURPOSE: Alzheimer's disease (AD) is a progressive neurodegenerative disorder involving amyloid-β deposition, tau hyperphosphorylation, oxidative stress, and neuroinflammation. This review systematically evaluates the neuroprotective effects of Litchi chinensis and its phytochemicals against AD, foc...

Health SciencesMedicinePhysiologyOpen Access
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