The precision of state of charge (SoC) prediction prediction of the SoC is necessary to avoid deep discharging and remains an important challenge in the field of electric vehicles and overcharging, which can damage batteries ...

This article is an investigation for the best suited algorithm for object detection on Jetson TX2 NX platform. Previous research aimed at determination of the quickest and the most accurate algorithm for obj ect detection ...

This publication presents the concept of a Building Management System and Reactive Power Management System in one software. The need for such a reactive power management system is related to the increase in the number of ...

This study addresses the challenges of administrative tasks and communication tracking at Visayas State University Alangalang (VSUA), highlighting the inefficiencies in the current manual tracking of communication processes. ...

This research presents results and discussion on prognostic deep learning models developed for the prediction of emission parameters of internal combustion engines. The resulting models were trained to predict various ...

Vision transformers (ViTs) have begun to be adopted in medical imaging analysis. However, despite their success in other areas of computer vision, ViTs are still largely unexplored in this specific medical imaging task. ...

The recent advancements in neural network architectures, particularly transformers, have played a crucial role in the rapid progress of Large Language Models (LLMs). LLMs are trained on many parameters. By training these ...

The paper explores the automated identification of tomato leaf diseases using YOLOv8 detection models on both GPU and Raspberry Pi hardware. Through convolutional neural networks (CNNs) and transfer learning techniques, ...

In many real-world applications, sorting is a crucial data structure. Sorting algorithms are methods for rearranging a collection of unsorted items into a desired format or order. A lot of sorting algorithms are developed ...