Driver Assistance through Real-Time Traffic Sign Recognition Using HSV Color Space and Lightweight CNN Models Md. Sohal Hasan Saifullah Ilam Md. Sejuti Mondol Anika Sara Volume 2, Issue 8, Pages 1-5, August 2025 This paper presents a real-time traffic sign recognition (TSR) system designed to improve driver safety by accurately detecting and classifying road signs under varying illumination and occlusion conditions. The system combines classical image processing (HSV color segmentation and shape-based feature extraction) with a lightweight convolutional neural network (CNN) classifier. Robustness is ... Read More Article DOI: doi.org/10.47001/CJESR/2025.208001
Physiological Dysregulations Associated with Hepatitis E Virus Infection in Pregnant Women: An Analytical Study of Pathogenic Mechanisms and Elevated Maternal Mortality Risk Wijdan Abdulghani Saleh Afaf Saud Hussein Donia Suad Shakoor Parzhin Sardar Mohammed Volume 2, Issue 8, Pages 6-12, August 2025 This study was meant to investigate the mechanistic factors behind HEV infection causing severe clinical disease in pregnancy, targeting immune, hormonal, coagulation, and placental parameters in a case-control design with 77 HEV-infected pregnant women and 77 matched healthy controls in Iraq (January-December 2024 ). Sought were cytokine profiles (IFN-γ, IL-4, IL-10, TNF-α) and immune cell... Read More Article DOI: doi.org/10.47001/CJESR/2025.208002
Spatial Analytics and Machine Learning Techniques for Road Surface Damage Assessment Manjunatha S Nanjundeshwara Rao Volume 2, Issue 8, Pages 13-17, August 2025 Road infrastructure degradation—manifested through potholes, surface cracking, and subgrade settlement—has intensified due to climatic variability, including heavy precipitation events and seasonal temperature fluctuations associated with global warming, as well as continued reliance on conventional pavement construction practices. This growing deterioration poses significant challenges ... Read More Article DOI: doi.org/10.47001/CJESR/2025.208003
Hydrological Flood Forecasting through Machine Learning Methods Ravindra Patil Ganesh Singh Amrutha Modi Volume 2, Issue 8, Pages 18-23, August 2025 Effective disaster risk management (DRM) necessitates scientifically grounded methodologies to bridge the gap between risk prevention and preparedness strategies. Deliberations surrounding the United Nations post-2015 framework for disaster risk reduction emphasize the critical importance of transboundary early warning systems (EWS) in enhancing preparedness capabilities, minimizing loss of l... Read More Article DOI: doi.org/10.47001/CJESR/2025.208004
Next-Generation Embedded Systems for IoMT: Design Constraints and Opportunities Dewi Kartika Fajar Hidayat Arif Wijaya Siti Wulandari Volume 2, Issue 8, Pages 24-28, August 2025 The Internet of Medical Things (IoMT) is transforming the healthcare sector through the integration of intelligent sensing devices, wearable systems, and networked medical equipment to facilitate advanced monitoring, diagnostics, and therapeutic interventions. This paper critically examines the technical challenges and recent technological advancements associated with the development of embed... Read More Article DOI: doi.org/10.47001/CJESR/2025.208005
