Article Retracted (Based on author's request) -NA- Volume 4, Issue 9, Pages 1-8, September 2025 -NA-... Read More Article DOI: -NA-
A Fully Automated Machine Learning Pipeline for Predicting the Quality of Wine Elavarasan G Volume 4, Issue 9, Pages 9-13, September 2025 Implementing machine learning (ML) models in production settings can present numerous challenges, mainly due to the intricate nature of workflows, the need for smooth integration, and the demand for scalability. This study proposes a comprehensive strategy to address these issues by integrating Machine Learning Operations (MLOps) principles with the computational power and flexibility of AWS... Read More Article DOI: doi.org/10.47001/ICJES/2025.409002
Employing Deep Learning Approaches for the Automated Diagnosis and Management of Wheat Plant Diseases Caroline Nyambura Volume 4, Issue 9, Pages 14-19, September 2025 Precise identification of foliar diseases in wheat is crucial for the development of effective crop management strategies. This study presents the Wheat Leaf Convolutional (WLC) model, which enhances the VGG16 architecture, with the objective of detecting and classifying six different types of foliar diseases using deep learning techniques. The model is trained on a dataset comprising images... Read More Article DOI: doi.org/10.47001/ICJES/2025.409003
Real-Time Traffic Sign Recognition for Driver Assistance Using HSV Color Space and Lightweight CNN Models Md. Sejuti Mondol Anika Sara Abdul Volume 4, Issue 9, Pages 20-24, September 2025 This research paper presents a real-time traffic sign recognition (TSR) system developed to enhance driver safety by precisely detecting and classifying road signs under various lighting and occlusion conditions. The system merges classical image processing methods (such as HSV color segmentation and shape-based feature extraction) with a lightweight convolutional neural network (CNN) classi... Read More Article DOI: doi.org/10.47001/ICJES/2025.409004
A Real-Time Surveillance System for Smart Energy Meters, Constructed with IoT Integration to Assure Billing Automation Suresh Kumar Ranjith Balaji Volume 4, Issue 9, Pages 25-29, September 2025 The Internet of Things (IoT) has brought about a transformation in various sectors, particularly in energy management, by enabling smart monitoring and automation. This research presents an IoT-based energy metering and billing system that is designed to enhance efficiency, accuracy, and real-time monitoring of energy consumption. Traditional metering and billing techniques are often vulnerab... Read More Article DOI: doi.org/10.47001/ICJES/2025.409005
Cognitive CloudOps: Integrating Generative AI for Predictive Infrastructure Management and Self-Optimizing DevOps Pipelines Vishwa Chetanbhai Lakhnakiya Volume 4, Issue 9, Pages 30-38, September 2025 The relentless escalation of architectural complexity in cloud-native environments has necessitated a paradigmatic shift from traditional imperative automation to cognitive, self-optimizing operations. This research presents a comprehensive Cognitive CloudOps framework, articulating the integration of Large Language Models (LLMs) and Reinforcement Learning (RL) into the core of the software ... Read More Article DOI: doi.org/10.47001/ICJES/2025.409006
