Search Results - "Syfullah, Md Khalid"
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IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
Published in Sensors (Basel, Switzerland) (01-09-2023)“…Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of…”
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Journal Article -
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Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture
Published in IEEE access (2023)“…Tomatoes are the most widely grown crop in the world, and they may be found in a variety of forms in every kitchen, regardless of cuisine. It is, after potato…”
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3
Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification
Published in Technologies (Basel) (01-09-2023)“…Lung-related diseases continue to be a leading cause of global mortality. Timely and precise diagnosis is crucial to save lives, but the availability of…”
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Post‐COVID‐19 internet addiction, depression, and pornography addiction among adolescents: Findings from a nationwide study in Bangladesh
Published in Health science reports (01-07-2024)“…Background and Aims Regulations response to COVID‐19 has increased internet addiction (IA), depression, and pornography addiction (PA) among adolescents…”
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Physio-psychosocial risk of depression among college-going adolescents: A cross-sectional study in Bangladesh
Published in Journal of affective disorders reports (01-04-2024)“…•The prevalence of depression was high among the participants.•Significant factors of depression were gender, social media use, physical exercise, pre-marital…”
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Exploring the Potential: ML vs. DL in Network Security with Explainable AI (XAI) Insights
Published in 2023 26th International Conference on Computer and Information Technology (ICCIT) (13-12-2023)“…The increasing complexity and diversity of cyber threats have driven the widespread adoption of Machine Learning (ML) and Deep Learning (DL) techniques for…”
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Conference Proceeding -
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Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
Published in Expert systems with applications (01-11-2023)“…Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia have spread over the world, killing millions of people. Medical specialists…”
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Bridging the gap: advancing the transparency and trustworthiness of network intrusion detection with explainable AI
Published in International journal of machine learning and cybernetics (01-11-2024)“…With the explosive rise of internet usage and the development of web applications across various platforms, ensuring network and system security has become a…”
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Physio-Psychosocial Risks of Depression among College-Going Adolescents in Bangladesh: A Data Note [version 1; peer review: awaiting peer review]
Published in F1000 research (2024)“…Background The prevalence of depression among adolescents is an increasing global problem, including in Bangladesh as well. This cross-sectional data was…”
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An Empirical Model of Classifying Lung Affected Diseases to Detect COVID-19 Using Chest X-ray Employing Convolutional Neural Architecture
Published in 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (13-09-2022)“…The earlier detection and accurate diagnosis of COVID seem to be a global problem. It is difficult to make a large number of testing equipment, but then again,…”
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Conference Proceeding -
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IoT Based Multi-layered Security & Automated Monitoring System
Published in 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) (26-12-2021)“…This paper presents a multi-layered security project consisting of laser, ultrasound, heat, fire and gas detection with fault-tolerable monitoring and alarm…”
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Conference Proceeding