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Results for “"Manowarul Islam"”

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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Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques

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Md. Manowarul Islam, Rahatara Ferdousi, Sadikur Rahman, Humayra Yasmin Bushra

Journal: Advances in intelligent systems and computingYear: 2019Citations: 255
Health SciencesHealth ProfessionsHealth Information Management
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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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Machine learning based diabetes prediction and development of smart web application

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Nazin Ahmed, Rayhan Ahammed, Md. Manowarul Islam, Md. Ashraf Uddin et al.

Journal: International Journal of Cognitive Computing in EngineeringYear: 2021Citations: 170

Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the risk of long-term complications including heart disease, and kidney failure among others. People might live longer and lead healthier lives if this disease is detected early. Different supervised machine learni...

Health SciencesHealth ProfessionsHealth Information ManagementOpen 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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DeepCrop: Deep learning-based crop disease prediction with web application

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Md. Manowarul Islam, Md. Adil, Md. Alamin Talukder, Md. Khabir Uddin Ahamed et al.

Journal: Journal of Agriculture and Food ResearchYear: 2023Citations: 152

Agriculture plays a significant role in every nation's economy by producing crops. Plant disease identification is one of the most important aspects of maintaining an agriculturally developed nation. The timely and efficient detection of plant diseases is essential for a healthy and productive agric...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

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Md. Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter et al.

Journal: Computers in Biology and MedicineYear: 2021Citations: 127

Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdeveloped countries are still struggling to identify COVID...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Cyberbullying Detection on Social Networks Using Machine Learning Approaches

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Md. Manowarul Islam, Md. Ashraf Uddin, Linta Islam, Arnisha Akter et al.

Journal: 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)Year: 2020Citations: 116

The use of social media has grown exponentially over time with the growth of the Internet and has become the most influential networking platform in the 21st century. However, the enhancement of social connectivity often creates negative impacts on society that contribute to a couple of bad phenomen...

Physical SciencesComputer ScienceArtificial IntelligenceOpen 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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BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture

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

Journal: International Journal of Intelligent SystemsYear: 2024Citations: 81

Brain tumors significantly impact human health due to their complexity and the challenges in early detection and treatment. Accurate diagnosis is crucial for effective intervention, but existing methods often suffer from limitations in accuracy and efficiency. To address these challenges, this study...

Life SciencesNeuroscienceNeurologyOpen Access
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A robust hybrid machine learning model for Bengali cyber bullying detection in social media

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Arnisha Akhter, Uzzal Kumar Acharjee, Md. Alamin Talukder, Md. Manowarul Islam et al.

Journal: Natural Language Processing JournalYear: 2023Citations: 79

Social networking platforms give users countless opportunities to share information, collaborate, and communicate positively. The same platform can be extended to a fabricated and poisonous atmosphere that gives an impersonal, harmful platform for online misuse and assault. Cyberstalking is when som...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Automatic driver distraction detection using deep convolutional neural networks

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Md. Uzzol Hossain, Md. Ataur Rahman, Md. Manowarul Islam, Arnisha Akhter et al.

Journal: Intelligent Systems with ApplicationsYear: 2022Citations: 79

Recently, the number of road accidents has been increased worldwide due to the distraction of the drivers. This rapid road crush often leads to injuries, loss of properties, even deaths of the people. Therefore, it is essential to monitor and analyze the driver's behavior during the driving time to ...

Social SciencesPsychologyExperimental and Cognitive PsychologyOpen Access
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A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture

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Md. Manowarul Islam, Md. Alamin Talukder, Md. Ruhul Amin Sarker, Md. Ashraf Uddin et al.

Journal: Intelligent Systems with ApplicationsYear: 2023Citations: 71

Cotton is known as ‘white gold’ in the agricultural industry. Agriculture is the primary source of economic income in Bangladesh and the country's economy is heavily dependent on agriculture. The soil and water resources of our country are fertile and the climate is moderate. But numerous diseases a...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Automated invasive cervical cancer disease detection at early stage through suitable machine learning model

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Sohely Jahan, M. D. Saimun Islam, Linta Islam, Tamanna Yesmin Rashme et al.

Journal: SN Applied SciencesYear: 2021Citations: 70

Abstract Cervical cancer is a common cancer that affects women all over the world. This is the fourth leading cause of death among women and has no symptoms in its early stages. At the cervix, cervical cancer cells develop slowly. If it can be detected early, this cancer can be successfully treated....

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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