Hezerul Abdul Karim
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View article: A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization
A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization Open
Dengue remains a significant and critical global health concern, especially in resource-constrained and remote regions, where traditional IgG/IgM-based testing is often delayed or not conducted properly. Furthermore, conventional machine l…
View article: Comparative analysis based on DeepSeek, ChatGPT, and Google Gemini: Features, techniques, performance, future prospects
Comparative analysis based on DeepSeek, ChatGPT, and Google Gemini: Features, techniques, performance, future prospects Open
View article: Transforming campus mobility: the DigiSticker system in digital parking solutions
Transforming campus mobility: the DigiSticker system in digital parking solutions Open
University digital parking systems have several benefits and solve many problems with traditional parking. Universities without a digital parking system face restricted parking, traffic congestion, inefficient space utilization, secu…
View article: A robust SVD-based watermarking scheme using orthogonal vectors and PSO-enhanced scaling factor
A robust SVD-based watermarking scheme using orthogonal vectors and PSO-enhanced scaling factor Open
Singular value decomposition (SVD)-based watermarking scheme is a well-known copyright protection technique due to its orthogonal vectors that represent geometrical information about an image and its singular values (SVs) with exceptional …
View article: HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancer
HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancer Open
View article: Multitasking vision language models for vehicle plate recognition with VehiclePaliGemma
Multitasking vision language models for vehicle plate recognition with VehiclePaliGemma Open
License Plate Recognition (LPR) automates vehicle identification using cameras and computer vision. It compares captured plates against databases to detect stolen vehicles, uninsured drivers, and crime suspects. Traditionally reliant on Op…
View article: SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach
SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach Open
View article: A conceptual exploration of generative AI-induced cognitive dissonance and its emergence in university-level academic writing
A conceptual exploration of generative AI-induced cognitive dissonance and its emergence in university-level academic writing Open
View article: Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model
Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model Open
Increased waste volume and limitations of traditional separation methods have made waste management a hot topic in recent years. To enable the recycling process to be optimized and to minimize environmental impact, waste materials must be …
View article: AI with agency: a vision for adaptive, efficient, and ethical healthcare
AI with agency: a vision for adaptive, efficient, and ethical healthcare Open
View article: Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11
Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11 Open
The current infrastructure is crucial to metropolitan improvement. Natural factors, aging, and overuse cause these structures to deteriorate, introducing dangers to public well-being. Timely detection of infrastructure failures requires an…
View article: A Hybrid CNN Framework DLI-Net for Acne Detection with XAI
A Hybrid CNN Framework DLI-Net for Acne Detection with XAI Open
Acne is a prevalent skin condition that can significantly impact individuals’ psychological and physiological well-being. Detecting acne lesions is crucial for improving dermatological care and providing timely treatment. Numerous studies …
View article: Axonal spheroids are regulated by Schwann cells after peripheral nerve injury
Axonal spheroids are regulated by Schwann cells after peripheral nerve injury Open
View article: Leveraging Machine Learning Techniques to Obtain Data for Virtual Sensors
Leveraging Machine Learning Techniques to Obtain Data for Virtual Sensors Open
View article: A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing
A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing Open
The integration of Generative Artificial Intelligence (GenAI) into university-level academic writing presents both opportunities and challenges, particularly in relation to cognitive dissonance (CD). This work explores how GenAI serves as …
View article: The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south
The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south Open
1.1 Importance of tumor boards in cancer treatment Tumor boards are multidisciplinary teams of healthcare professionals that are working together to encompass the full spectrum of care around diagnosing, planning treatment, and advising ou…
View article: Health is beyond genetics: on the integration of lifestyle and environment in real-time for hyper-personalized medicine
Health is beyond genetics: on the integration of lifestyle and environment in real-time for hyper-personalized medicine Open
Hyper-personalized medicine represents the cutting edge of healthcare, which aims to tailor treatment and prevention strategies uniquely to each individual. Unlike traditional approaches, which often adopt a one-size-fits-all or even broad…
View article: Explainable deep learning models for HER2 IHC scoring in breast cancer diagnosis
Explainable deep learning models for HER2 IHC scoring in breast cancer diagnosis Open
Accurate and interpretable HER2 IHC scoring is crucial for guiding breast cancer treatment. However, manual evaluation remains inconsistent and subjective. This study proposes a deep learning framework that integrates both a custom Convolu…
View article: Enhancing HER2 IHC Scoring Using HRNet and SwinT with Cross Dataset Generalization
Enhancing HER2 IHC Scoring Using HRNet and SwinT with Cross Dataset Generalization Open
View article: Cardiovascular Diagnostics Detection Using Multilayer Perception Approach
Cardiovascular Diagnostics Detection Using Multilayer Perception Approach Open
View article: An Explainable Transformer Framework for Sentiment Analysis in Aviation Workforce Data
An Explainable Transformer Framework for Sentiment Analysis in Aviation Workforce Data Open
View article: Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review
Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review Open
The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on imaging techniques like CT scans and X-rays, but identifying SAR…
View article: Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma
Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma Open
License plate recognition (LPR) involves automated systems that utilize cameras and computer vision to read vehicle license plates. Such plates collected through LPR can then be compared against databases to identify stolen vehicles, unins…
View article: Health is Beyond Genetics: On the Integration of Lifestyle and Environment in Real-Time for Hyper-Personalized Medicine
Health is Beyond Genetics: On the Integration of Lifestyle and Environment in Real-Time for Hyper-Personalized Medicine Open
Hyper-personalized medicine represents an advanced approach to healthcare, integrating real-time lifestyle, environmental, genetic, and biological data to tailor medical interventions for individual needs. This approach transcends traditio…
View article: Axonal spheroids are regulated by Schwann cells after peripheral nerve injury
Axonal spheroids are regulated by Schwann cells after peripheral nerve injury Open
Axonal spheroids are hallmark features of neurodegeneration, forming along degenerating axons and contributing to disease progression. Despite their ubiquity across degenerative etiologies, the dynamics of spheroid disappearance, as well a…
View article: Can Personalized Medicine Coexist with Health Equity? Examining the Cost Barrier and Ethical Implications
Can Personalized Medicine Coexist with Health Equity? Examining the Cost Barrier and Ethical Implications Open
Personalized medicine (PM) promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors. However, its high costs and infrastructure demands raise concerns about exacerbating …
View article: Artificial Intelligence and Mobile Apps Support Intelligent Healthcare Systems for Mental Health Services
Artificial Intelligence and Mobile Apps Support Intelligent Healthcare Systems for Mental Health Services Open
Patients and healthcare practitioners have commended the systems’ effectiveness, ease, and user-friendliness in several situations. Utilizing cutting-edge ideas and methods from the multidisciplinary domains of electricity, computing, medi…
View article: Analysis of the power sector in Bangladesh: current trends, challenges, and future perspectives
Analysis of the power sector in Bangladesh: current trends, challenges, and future perspectives Open
Bangladesh’s economic development is largely dependent on the power sector, which promotes sustainability and growth. The country’s future energy security, however, is seriously threatened by the natural gas reserves running out by 2028. A…
View article: Mobile Health Service Adoption: Reducing the Digital Gap and Age's Moderating Influence
Mobile Health Service Adoption: Reducing the Digital Gap and Age's Moderating Influence Open
In the past few years, mobile health services (MHS)—a growing topic in the healthcare sector—have received increasing attention. Technologies related to mobile health, or m-health, have several advantages for people, businesses, and medica…
View article: Optimized Crop Disease Identification in Bangladesh: A Deep Learning and SVM Hybrid Model for Rice, Potato, and Corn
Optimized Crop Disease Identification in Bangladesh: A Deep Learning and SVM Hybrid Model for Rice, Potato, and Corn Open
Agriculture plays a vital role in Bangladesh’s economy. It is essential to ensure the proper growth and health of crops for the development of the agricultural sector. In the context of Bangladesh, crop diseases pose a significant threat t…