2024 International Conference "Electrical, Electronic and Information Sciences“ (eStream)
Recent Submissions
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Advanced Battery Management for Electric Vehicles: A Deep Dive into Estimation Techniques Based on Deep Learning for the State of Health and State of Charge of Lithium-Ion Batteries
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)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 ... -
Empowering Industrial Energy Management: Advancing Short-Term Load Forecasting with LSTM and CNN Deep Learning Models - Insights from a Moroccan Case Study
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Self-consumption of electricity plays an important role in the energy transition and using green, sustainable energy sources for industrial self-sufficiency and electricity bills, meeting part of their own energy needs and ... -
Adaptive Methods for Kernel Initialization of Convolutional Neural Network Model Applied to Plant Disease Classification
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Convolutional Neural Networks are instrumental in artificial intelligence, especially in image processing, where their ability to autonomously learn hierarchical features has led to significant breakthroughs. However, the ... -
Memristor-Based Phase-Frequency Detector for Phase-Locked Loop Applications
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)The present paper introduces and illustrates a novel, straightforward Phase-Frequency Detection (PFD) circuit based on two memristor components. This PFD approach can represent the phase or frequency difference between two ... -
Potential Technological Advancements in the Future of Process Control and Automation
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)The potential technical breakthroughs in the field of process control and automation are a subject of significant interest and research. These advancements have the potential to transform several industries by enhancing ... -
MangroveLens: A Smart Solution for Mangrove Species Identification Through MobileNetV3 Network Architecture and Biodiversity Monitoring
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Mangroves, as vital coastal ecosystems, play a significant role in maintaining biodiversity and providing essential ecosystem services. However, difficulties with species identification and biodiversity monitoring impede ... -
Free DBMSs Performance for an Inventory Management System based on Spring Boot
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)This research examines the integration of free Database Management Systems (DBMSs) with a Spring Bootdriven Inventory Management System. Evaluating MySQL, PostgreSQL, MongoDB, and SQLite, the study explores performance ... -
Implementing a Support Vector Classifier for Student Risk Assessment in Colegio De Getafe: A Machine Learning Approach
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)This study addresses the persistent need for technological advancement in higher education to provide quality higher education and early classification for students who are struggling academically. The study's focus is ... -
Predicting Geographic Distribution and Potential Habitat of Marine Bivalves *
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Understanding the habitat suitability of the species has been one of the main focus of biodiversity conservation. Species Distribution Modelling (SDM) has great potential to support marine conservation planning. SDM can ... -
Exploring the Effectiveness of Vision Transformers in Diabetic Retinopathy Identification via Retinal Imaging
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)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. ... -
Development of an Algorithm-Based Analysis-Compression Integrated Communication Tracking Management Information System (iCTMIS)
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)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. ... -
Improved Quick Sort Average Performance Time by Combining with Selection and Insertion Algorithms
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)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 ... -
Hybrid Neural Network Classifier for Detecting Weeds and Plant Diseases in Greenhouses
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Greenhouse farming plays a crucial role in satisfying the demand throughout the year, regardless of climatic conditions. However, maintaining crop health in greenhouses is critical and challenging. This paper is devoted ... -
Comparison of Object Detection Algorithms for the Task of Person Detection on Jetson TX2 NX Platform
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)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 ... -
An Experimental Selection of Deep Neural Network Hyperparameters for Engine Emission Prognosis
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)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 ... -
A Roadmap on Developing a Taxonomy for Text Data Mining
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Over the past decade, unstructured text data have increased significantly. Text data are utilized in various scientific research, such as sentiment analysis, semantic analysis, context extraction, or named-entity recognition. ... -
Exploration of Genetic Algorithm-Driven Hyperparameter Optimization for Convolutional Neural Networks
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Convolutional Neural Networks (CNNs) have been widely used in artificial intelligence (AI) research. However, the time-intensive nature of hyperparameter optimization remains a major challenge. In this study, we investigated ... -
Time Series Data Augmentation Methods for Deep Learning Models in Conveyor Belt Load Classification
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)This work explores time series data augmentation methods for deep learning and their application for conveyor belt tension signals. In this research, conveyor belt load data was collected and analyzed for five different ... -
Machine Learning and Statistical Techniques for Outlier Detection in Smart Home Energy Consumption
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Due to the continuous increase of smart home culture worldwide, large volumes of energy consumption data gained the attention of data scientists. Smart meters capture the energy consumption readings at a predefined rate ... -
AI Models of Pulmonary Sarcoidosis Detection
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Sarcoidosis, a multifaceted inflammatory disorder, often involves the ′ lungs, presenting challenges in diagnosis and management. Computed tomography (CT) imaging is pivotal in assessing pulmonary sarcoidosis, yet ...
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