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Results for “"Sunil Aryal"”

16+ results

Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications

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Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal et al.

Journal: Journal Of Big DataYear: 2024Citations: 411

Abstract The k-Nearest Neighbors (kNN) method, established in 1951, has since evolved into a pivotal tool in data mining, recommendation systems, and Internet of Things (IoT), among other areas. This paper presents a comprehensive review and performance analysis of modifications made to enhance the ...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

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Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 193

Brain tumors are among the most fatal and devastating diseases, often resulting in significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to devise treatment plans that can extend the lives of affected individuals. Manually identifying and analyzing large volumes of ...

Life SciencesNeuroscienceNeurologyOpen Access
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Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture

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Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md. Ashraf Uddin et al.

Journal: Computers in Biology and MedicineYear: 2023Citations: 103

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initial testing methods primarily revolved around ident...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs

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Md. Alamin Talukder, Selina Sharmin, Md. Ashraf Uddin, Md. Manowarul Islam et al.

Journal: International Journal of Information SecurityYear: 2024Citations: 100

Abstract In the domain of cyber-physical systems, wireless sensor networks (WSNs) play a pivotal role as infrastructures, encompassing both stationary and mobile sensors. These sensors self-organize and establish multi-hop connections for communication, collectively sensing, gathering, processing, a...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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A Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease

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Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, Jannat-E-Anawar, Md. Ashraf Uddin et al.

Journal: Biomedical Materials & DevicesYear: 2023Citations: 84

Alzheimer's disease (AD) is one of the leading causes of dementia among older people. In addition, a considerable portion of the world's population suffers from metabolic problems, such as Alzheimer's disease and diabetes. Alzheimer's disease affects the brain in a degenerative manner. As the elderl...

Life SciencesNeuroscienceNeurologyOpen Access
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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application

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Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal et al.

Journal: Journal of Pathology InformaticsYear: 2024Citations: 73

Chronic kidney diseases (CKDs) are a significant public health issue with potential for severe complications such as hypertension, anemia, and renal failure. Timely diagnosis is crucial for effective management. Leveraging machine learning within healthcare offers promising advancements in predictiv...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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An ensemble machine learning based bank loan approval predictions system with a smart application

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Nazim Uddin, Md. Khabir Uddin Ahamed, Md. Ashraf Uddin, Md. Manwarul Islam et al.

Journal: International Journal of Cognitive Computing in EngineeringYear: 2023Citations: 63

Banks rely heavily on loans as a primary source of revenue; however, distinguishing deserving applicants who will reliably repay loans presents an ongoing challenge. Conventional selection processes often struggle to identify the most suitable candidates from a pool of loan applicants. In response t...

Social SciencesBusiness, Management and AccountingAccountingOpen Access
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Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN

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Md. Ashraf Uddin, Md. Alamin Talukder, Muhammad Sajib Uzzaman, Chandan Debnath et al.

Journal: International Journal of Cognitive Computing in EngineeringYear: 2024Citations: 52

Human activity recognition (HAR) plays a crucial role in assisting the elderly and individuals with vascular dementia by providing support and monitoring for their daily activities. This paper presents a deep learning (DL)-based approach to HAR, leveraging convolutional neural network (CNN), convolu...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Machine Learning Based Diabetes Detection Model for False Negative Reduction

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Md. Ashraf Uddin, Md. Manowarul Islam, Md. Alamin Talukder, Md. Al Amin Hossain et al.

Journal: Biomedical Materials & DevicesYear: 2023Citations: 51
Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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A robust and clinically applicable deep learning model for early detection of Alzheimer's

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Md Masud Rana, Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin et al.

Journal: IET Image ProcessingYear: 2023Citations: 43

Abstract Alzheimer's disease, often known as dementia, is a severe neurodegenerative disorder that causes irreversible memory loss by destroying brain cells. People die because there is no specific treatment for this disease. Alzheimer's is most common among seniors 65 years and older. However, the ...

Life SciencesNeuroscienceNeurologyOpen Access
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Priority based energy and load aware routing algorithms for SDN enabled data center network

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Md. Naimul Pathan, Maisha Muntaha, Selina Sharmin, Sajeeb Saha et al.

Journal: Computer NetworksYear: 2023Citations: 28

Nowadays, to accommodate the swift expansion of cloud computing, big data, and other emerging technologies, integrating data center networks and SDN (Software Defined Network) is suggested, which also improves the network management’s convenience and flexibility. As network devices in these data cen...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data

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Rabea Khatun, Maksuda Akter, Md. Manowarul Islam, Md. Ashraf Uddin et al.

Journal: GenesYear: 2023Citations: 19

Biomarker-based cancer identification and classification tools are widely used in bioinformatics and machine learning fields. However, the high dimensionality of microarray gene expression data poses a challenge for identifying important genes in cancer diagnosis. Many feature selection algorithms o...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture

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Md. Bayazid Rahman, Joy Dhon Chakma, Abdul Momin, Shahidul Islam et al.

Journal: SensorsYear: 2023Citations: 14

The Internet of Things (IoT) is a transformative technology that is reshaping industries and daily life, leading us towards a connected future that is full of possibilities and innovations. In this paper, we present a robust framework for the application of Internet of Things (IoT) technology in the...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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usfAD based effective unknown attack detection focused IDS framework

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Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh et al.

Journal: Scientific ReportsYear: 2024Citations: 13

The rapid expansion of varied network systems, including the Internet of Things (IoT) and the Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring robust protection against these threats necessitates the implementation of an effective Intrusion Detection Sy...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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A dual-tier adaptive one-class classification IDS for emerging cyberthreats

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Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh et al.

Journal: Computer CommunicationsYear: 2024Citations: 13

In today’s digital age, our dependence on IoT (Internet of Things) and IIoT (Industrial IoT) systems has grown immensely, which facilitates sensitive activities such as banking transactions and personal, enterprise data, and legal document exchanges. Cyberattackers consistently exploit weak security...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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