Browsing 2025 International Conference "Electrical, Electronic and Information Sciences“ (eStream) by Publisher "IEEE"
Now showing items 1-20 of 50
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Advanced Deep Learning Approaches for Automated Diagnosis of Cardiac Arrhythmia in Multi-lead ECG Signals
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Atrial fibrillation (AF) is a widespread and life-threatening heart arrhythmia disorder that affects over a million persons worldwide, predominantly older adults. The exact detection of AF is important, but the complication ... -
AI-Based Advancements for Comprehensive Mangrove Analysis Suitability Mapping
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Habitat loss remains a critical global issue linked to climate change. The Philippines, recognized as a global hotspot for marine biodiversity, is home to extensive mangrove forests. Despite their ecological significance, ... -
An Approach for Building IT Support Dataset for Machine Learning Models
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This study investigates the challenges of preparing datasets for machine learning models based on the data of a centralized system for managing IT incidents within an organization. Key challenges include data quality issues, ... -
BiLSTM-CNN with Bayesian Optimization for Accurate Long-Term Load Forecasting: Cross-Regional Insights from Morocco and Spain
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Accurate long-term electricity demand forecasting (LTLF) is critical for strategic planning, particularly in the context of escalating climate issues and the intricacies of energy systems. This research proffers a pioneering ... -
Characterization of k-Carrageenan and Iron (III) Oxide Based Piezoresistive Film by Microrobotic System
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper represents continued development and investigation of a piezoresistive sensor based on k-carrageenan and iron (III) oxide with natural moieties of algae containing cellulose. Because of the cheapness of raw ... -
Comparative Analysis between BFS and DFS-Shortest Path Algorithms
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Graph theory is a critical field in computer science and mathematics, particularly in solving shortest path problems. In this paper, a comparative analysis of Breadth-First Search (BFS) and Depth-First Search (DFS) algorithms ... -
Comparative Analysis of High-voltage High-frequency Pulse Generator Architectures for Pockels Cells
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Pockels cells are driven by high-frequency, high-voltage pulses and can be considered as capacitive loads. The capacitive nature of the load affects the rise and fall times of the pulses. To properly drive a Pockels cell, ... -
A Comparative Study of Bird Species Classification Using K-Nearest Neighbors, Convolutional Neural Networks, and Support Vector Machines
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Bird species classification is crucial for ecological monitoring and biodiversity conservation, providing valuable insights into ecosystem health. This study aims to compare the performance of three machine learning ... -
Deep Learning Approach For Weed Detection To Determine Soil Condition
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Mobile technology has transformed information gathering and accessibility, enabling real-time data collection and analysis through portable devices. Identifying soil conditions is critical in agriculture, yet traditional ... -
Deep Learning-Based PID Controller Tuning for Effective Speed Control of DC Shunt Motors
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Electric vehicles (EVs) have become essential due to the depletion of fuel energy resources. DC machines and their role in EVs are gaining significant attention. The speed of DC motor-driven wheels in EVs is usually ... -
Deep Learning-Enabled Inventory Detection for Facility Management System
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Facility management benefits from efficient inventory tracking to optimize resource allocation and control costs. In this study, a deep learning-based method is presented for detecting and quantifying office inventory from ... -
Dempster-Shafer WASPAS Decision-Making Method for the Selection Wall Construction of a Single-Family House
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The application of multi-criteria decision-making methods is particularly useful in constructing single-family houses when it is necessary to select the optimal types of wall construction. This paper presents a new WASPAS ... -
Design and Analysis of a Wide Input Voltage Range Low-Dropout Regulator in TSMC 180nm BCD Technology
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper presents the design and simulation of a low-dropout (LDO) linear voltage regulator intended for integration in high-voltage DC-DC converter systems. Implemented in a 180 nm BCD CMOS process, the proposed LDO ... -
Design and Development of Integrated Human Resource Management System with Face Recognition Attendance
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Workforce management is a critical function in any organization, yet traditional human resource practices and manual attendance tracking are often inefficient, error-prone, and insecure. This study proposes an integrated ... -
Design of a Hybrid Model Based on Statistical and Machine Learning Techniques for Effective Forecasting of Smart Home Energy Consumption
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Smart home technology is widely used across all cities to provide high security, comfort, and energy efficiency. This leads to an increase in energy consumption due to the growth in technology, population, and economy. ... -
Development of Management Information System using Geospatial Modeling Analysis and Predictive Algorithms (Geo-MAPA): A Smart-Monitored Alert and Response Technology for Forest Fire Readiness and Early-warning System (SMARTFIRES) For Leyte Sab-a Basin Peatland
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This research presents the development and implementation of MIS-GeoMAPA, a comprehensive Management Information System utilizing geospatial modeling and predictive algorithms for forest fire readiness and early warning ... -
Directions for Optimizing the Process of Obtaining and Processing Thermograms Using a Mobile Application
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Thermography is an advanced diagnostic method widely used in various fields, including medicine, engineering, and industrial applications. With the increasing use of mobile applications in diagnostics, optimising thermographic ... -
Enhancing Mango Leaf Disease Diagnosis Using Convolutional Neural Networks
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Mango leaf diseases significantly impact crop yield and quality, necessitating early and accurate detection for effective management. This study explores deep learning-based classification using MobileNetV3Small and ... -
Enhancing Redis Cache Efficiency Based on Dynamic TTL and Adaptive Eviction Mechanism
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Common caching strategies used in Redis are often inefficient when dealing with complex data structures, leading to inefficient memory usage and degraded system performance. This work presents the idea of decomposing complex ... -
Enhancing Scholarship Allocation Through Machine Learning: A Review of Models and Techniques
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Scholarship allocation is essential for providing access to education, especially for students from underrepresented and economically disadvantaged backgrounds. However, traditional methods of manual and rule-based scholarship ...