Shipnet Post CNN Ship Extraction from High Resolution Optical Images Y Mohan Das S Arifa Thabasum S Rizwana D Tabussum S Zaheer Ahmad N Nithin S Shabeena Volume 2, Issue 4, Pages 1-4, April 2025 This project describes the concept to detect ships from sea images taken from satellites and these images are called as ‘Synthetic aperture radar (SAR)’. Ships can be detected from SAR images using Post CNN Algorithm. It will be trained with ship images from VGG ImageNet Network, while training it extract features from images using its height, width and image colour channel. CNN filter t... Read More Article DOI: doi.org/10.47001/JAIET/2025.204001
An Innovative AI-Driven & Cloud Based Platform for Farmers Enabling Plant Disease Identification, Tracking and Forecasting V Keerthana A Sai Priya H Muskan E Tejesh Kumar B Ramesh B Pradeepthi S Prakash Volume 2, Issue 4, Pages 5-9, April 2025 It highlights the traits and prerequisites as well as the challenges associated with the identification and understanding of plant diseases. It demonstrates how convolutional neural networks (CNN) are used to classify and verify diseases affecting crops. A plant disease diagnosis system is introduced in the document. Using convolutional neural networks, our detection and identification syste... Read More Article DOI: doi.org/10.47001/JAIET/2025.204002
Predictive Healthcare Ambulance – AI & Human Interface Collaboration Y Mohan Das S Waheeda Anjum P Karishma G Shalini K Sainath Reddy T M Shahid Raza G M Khalandar Volume 2, Issue 4, Pages 10-15, April 2025 The integration of artificial intelligence (AI) and advanced human-machine interfaces is transforming emergency medical services. This study proposes an intelligent ambulance system that leverages AI for predictive analytics, decision support, and real-time communication to enhance the efficiency, accuracy, and responsiveness of ambulance operations. Traditional ambulance services often suff... Read More Article DOI: doi.org/10.47001/JAIET/2025.204003
Artificial Intelligence and Its Role in Increasing Companies' Profitability Eman Ibrahim Abdel Fattah Harb Volume 2, Issue 4, Pages 16-24, April 2025 This study examines Artificial Intelligence (AI) in companies’ profit transformation, demonstrating how strategic AI adoption drives measurable financial gains. Through longitudinal financial analysis of companies (2020–2025), we found that firms progressing through AI adoption phases—Exploration to Optimization—reduced ROI timeframes by 80% (from 15 to 3 months) while increasing prof... Read More Article DOI: doi.org/10.47001/JAIET/2025.204004
Enhancing Stock Market Prediction Using Attention-Based LSTM Models and Classical Models Amjed Abdulghani Salih Alhammadi Volume 2, Issue 4, Pages 25-32, April 2025 Stock price prediction remains an elusive problem due to the non-linearity and dynamic nature of the financial markets. Statistical models such as the Auto-Regressive Integrated Moving Average (ARIMA) have been established to be widely applicable but tend to overlook short-term fluctuations and complex interdependencies between stock price movements. In this paper, we propose an attention-bas... Read More Article DOI: doi.org/10.47001/JAIET/2025.204005
