Development of Low-Carbon Energy System by Tree Planting Optimization Using Machine Learning Techniques Mohammed Amjed Abdulrazik Hanan Hossuni Ali Volume 4, Issue 1, Pages 1-9, January 2025 The aim of this research is to improve carbon sequestration through two innovative components: a Siamese network fusion model to predict atmospheric carbon levels and a methodology to identify optimal locations for tree planting. The first component involves the development of a sophisticated Siamese network fusion model that integrates multiple data sources to predict atmospheric carbon lev... Read More Article DOI: doi.org/10.47001/ICJES/2025.401001
Neural Network-Based Linguistic Framework for Successive Word Prediction to Enhance Language Processing Md. Sohal Hasan Saifullah Ilam Md. Sejuti Mondol Anika Sara Mahmud Khan Rana Volume 4, Issue 1, Pages 10-14, January 2025 The next word prediction process is crucial for improving natural language processing applications and aiding in the creation of coherent and contextually appropriate texts. This project focuses on the use of Long Short-Term Memory (LSTM) networks for next word prediction tasks, which are a specific type of recurrent neural network (RNN). Utilizing the strengths of LSTM, the research aims to ... Read More Article DOI: doi.org/10.47001/ICJES/2025.401002
An Approach to Determining the Partition Coefficients between Solid and Air Phases for Organic Compounds Using the QSPR Anwer Abdulwahhab Khalaf Volume 4, Issue 1, Pages 15-25, January 2025 An important metric for evaluating the emission of chemicals from solid materials and the subsequent human exposure is the partition coefficient between the material and air (Kma). Current correlations for calculating Kma are typically limited to a narrow range of chemical-material combinations and do not account for temperature variations. This study aims to expand the prediction of Kma to ... Read More Article DOI: doi.org/10.47001/ICJES/2025.401003
Earthquake Detection and Autonomous Activation of Safety Systems with Integration of GPS technology Guru Prakash Mahesh Chandra Shivanesh Volume 4, Issue 1, Pages 26-29, January 2025 An innovative earthquake safety bed system integrated with GPS technology to enhance personal safety during seismic events. The proposed system utilizes real-time earthquake detection through seismic sensors, triggered an automated response that activates safety mechanisms within the bed. GPS technology is incorporated to track the bed`s location, ensuring precise data for rescue operations ... Read More Article DOI: doi.org/10.47001/ICJES/2025.401004
Linux Based Reliable and Low-Cost POS Solutions for Small Retail Businesses Chaker Souad Yahyaoui Najah Volume 4, Issue 1, Pages 30-34, January 2025 This article presents enhancements to Information Technology (IT) systems tailored for retail enterprises, focusing on a comparative analysis of Linux and Windows operating systems within retail settings, particularly at Points of Sale (POS). The discussion emphasizes that utilizing a Linux-based POS system enables functionality on hardware with lower specifications, thereby negating the nece... Read More Article DOI: doi.org/10.47001/ICJES/2025.401005
