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Results for “"Khondokar Fida Hasan"”

16+ results

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

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

Journal: Expert Systems with ApplicationsYear: 2022Citations: 296

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 death and disability in humans. The histopathological detection of such malignancies is usually the most important comp...

Physical SciencesComputer ScienceArtificial Intelligence
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Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

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Atika Akter, Nazeela Nosheen, Sabbir Ahmed, Mariom Hossain et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 242

Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment options, while accurate classification and segmentation of brain tumors are vital for developing personalized treatment strategies. Despite the widespread use of Magnetic Resonance Imaging (MRI) for brain exami...

Life SciencesNeuroscienceNeurologyOpen Access
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Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

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Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Khondokar Fida Hasan et al.

Journal: Journal Of Big DataYear: 2024Citations: 230

Abstract Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors and activities. Machine Learning (ML)-based behavior analysis within the IDS has considerable potential for dete...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen 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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A dependable hybrid machine learning model for network intrusion detection

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Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Md. Ashraf Uddin et al.

Journal: Journal of Information Security and ApplicationsYear: 2022Citations: 164

Network intrusion detection systems (NIDSs) play an important role in computer network security. There are several detection mechanisms where anomaly-based automated detection outperforms others significantly. Amid the sophistication and growing number of attacks, dealing with large amounts of data ...

Physical SciencesComputer ScienceComputer Networks and Communications
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GRU-INC: An inception-attention based approach using GRU for human activity recognition

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Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Yousuf et al.

Journal: Expert Systems with ApplicationsYear: 2022Citations: 147
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder

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Mousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, Khondokar Fida Hasan et al.

Journal: AlgorithmsYear: 2022Citations: 112

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an individual’s cognitive, linguistic, object recognition, communication, and social abilities. This situation is not treatable, although early detection of ASD can assist to diagnose and take proper steps for miti...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

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Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin et al.

Journal: Neural NetworksYear: 2023Citations: 92

Deep learning-based models have achieved significant success in detecting cardiac arrhythmia by analyzing ECG signals to categorize patient heartbeats. To improve the performance of such models, we have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with...

Health SciencesMedicineCardiology and Cardiovascular MedicineOpen Access
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CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack

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Md. Monirul Islam, Md. Belal Hossain, Md. Nasim Akhtar, Mohammad Ali Moni et al.

Journal: AlgorithmsYear: 2022Citations: 89

Cracks in concrete cause initial structural damage to civil infrastructures such as buildings, bridges, and highways, which in turn causes further damage and is thus regarded as a serious safety concern. Early detection of it can assist in preventing further damage and can enable safety in advance b...

Physical SciencesEngineeringCivil and Structural EngineeringOpen Access
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Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform

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M. Humayun Kabir, Khondokar Fida Hasan, Mohammad Kamrul Hasan, Keyvan Ansari

Journal: Studies in computational intelligenceYear: 2022Citations: 48
Physical SciencesComputer ScienceComputer Networks and Communications
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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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STRIDE-based Cyber Security Threat Modeling for IoT-enabled Precision Agriculture Systems

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Md. Rashid Al Asif, Khondokar Fida Hasan, Md Zahidul Islam, Rahamatullah Khondoker

Year: 2021Citations: 42

The concept of traditional farming is changing rapidly with the introduction of smart technologies like the Internet of Things (IoT). Under the concept of smart agriculture, precision agriculture is gaining popularity to enable Decision Support System (DSS)-based farming management that utilizes wid...

Physical SciencesComputer ScienceSignal Processing
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Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain

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Wahidur Rahman, Muhammad Minoar Hossain, Md. Mahedi Hasan, Md. Sadiq Iqbal et al.

Journal: IEEE Transactions on Artificial IntelligenceYear: 2024Citations: 31

Paddy cultivation is a significant global economic sector, with rice production playing a crucial role in influencing worldwide economies. However, insects in paddy farms predominantly impact the growth rate and ecological equilibrium of the agricultural field. Hence, the precise and timely identifi...

Life SciencesAgricultural and Biological SciencesPlant Science
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Cognitive Internet of Vehicles: Motivation, Layered Architecture and Security Issues

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Khondokar Fida Hasan, Tarandeep Kaur, Md. Mhedi Hasan, Yanming Feng

Year: 2019Citations: 25

Over the past few years, we have experienced great technological advancements in the information and communication field, which has significantly contributed to reshaping the Intelligent Transportation System (ITS) concept. Evolving from the platform of a collection of sensors aiming to collect data...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Gru-Inc: An Inception-Attention Based Approach Using Gru for Human Activity Recognition

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Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Abu Yousuf et al.

Journal: SSRN Electronic JournalYear: 2022Citations: 12
Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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