Data Mining Model for Object Classification Bennett, E. O. Obomanu Queenlucky Chizorom Igiri, C. G. Volume 2, Issue 12, Pages 1-6, December 2025 This study addresses the critical challenges of computational expense, scalability, and generalization in real-time object classification for autonomous systems. The paperpresents a novel data mining model, integrating a Domain Adversarial Neural Network (DANN) with a pre-trained ResNet18 backbone, leveraging transfer learning to enhance adaptability and efficiency. The system employs Automat... Read More Article DOI: doi.org/10.47001/JAIET/2025.212001
Automated Analytics by Models of Brain based on Big Information and Artificial Intelligence Evgeniy Bryndin Volume 2, Issue 12, Pages 7-16, December 2025 Researchers are actively exploring the relevance of automated information analytics using brain models. This field combines neuroscience, artificial intelligence, and machine learning, enabling a deeper understanding of information processing mechanisms in the brain and the development of more effective technologies. Scientists are creating mathematical and computer models that mimic brain fu... Read More Article DOI: doi.org/10.47001/JAIET/2025.212002
Optimized Text Classification Performance Using Support Vector Classifiers and Deep Neural Networks Taylor Onate Egerton Okafor Chetam Lucas Volume 2, Issue 12, Pages 17-25, December 2025 This paper enhances text classification performance by developing a hybrid model integrating Support Vector Classifiers (SVC) with Long Short-Term Memory (LSTM) networks. The research addresses challenges in processing high-dimensional, unstructured social media text, such as class imbalance, feature sparsity, and semantic complexity, by combining the strengths of classical machine learning a... Read More Article DOI: doi.org/10.47001/JAIET/2025.212003
Smart Ambulance System with AI-Assisted Predictive Healthcare Navnath Gaikwad Aishwarya Yadav Volume 2, Issue 12, Pages 26-33, December 2025 The increasing demand for rapid and efficient emergency medical services has necessitated the integration of intelligent technologies into ambulance systems. This research proposes a Smart Ambulance System with AI-Assisted Predictive Healthcare, designed to enhance pre-hospital care through real-time data analysis, predictive modeling, and seamless human-machine collaboration. The system inte... Read More Article DOI: doi.org/10.47001/JAIET/2025.212004
AI-Driven Low-Light Image Enhancement Using Deep Neural Networks Anisha V Varghese Surya D Sreelakshm M Sojan Sunny Volume 2, Issue 12, Pages 34-41, December 2025 Low-light image degradation remains a significant challenge in computer vision applications, affecting visibility, feature extraction, and overall visual quality. Images captured under insufficient illumination often suffer from noise, low contrast, color distortion, and loss of detail, which can negatively impact downstream tasks such as object detection, surveillance, autonomous navigation,... Read More Article DOI: doi.org/10.47001/JAIET/2025.212005
