Naršyti 2025 International Conference "Electrical, Electronic and Information Sciences“ (eStream) pagal išleidimo datą
Dabar rodomi įrašai 1-20 iš 51
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Senti Guide: A Machine Learning-Based Sentiment Analysis System for Student Feedback Evaluation
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)In academic settings, student feedback plays a crucial role in evaluating events and improving future planning. However, traditional manual feedback processing is time-consuming, error-prone, and inconsistent, often leading ... -
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 ... -
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, ... -
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 ... -
Optimized Fruit Detection in Complex Environments Using YOLOv11n for Smart Agricultural Applications
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This study explores the application of the YOLOv11 object detection algorithm for precise and efficient fruit detection in complex image environments. The research focuses on leveraging YOLOv11’s advanced single-stage ... -
Evaluation of Deep Learning Systems in Medical Diagnosis
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Deep learning in medical image analysis has significantly improved diagnostic accuracy. However, using commercial solutions such as Google DeepMind Health, IBM Watson Health, and Aidoc is financially demanding, limiting ... -
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 ... -
iBon: A Web Application for Aerial Fauna Identification and Counting Using Machine Learning
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Abstract: With the alarming decline in aerial fauna populations worldwide, the need for timely and accurate tools to monitor species trends and support conservation strategies has become critical. This paper aims to develop ... -
YOLOv8-Based Transfer Learning for Mangrove Species Classification Using Leaf Images
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Reliable classification of mangrove species is essential for conservation efforts, ecological research, and effective biodiversity monitoring. Traditional identification methods, which depend on human observation, are ... -
Fire Classification and Detection Using a CNN-YOLO Hybrid Model for Early Warning Systems
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Fire detection is essential for preventing and mitigating disaster impacts, requiring rapid and accurate identification to minimize damage and loss of life. Conventional fire detection systems based on sensors often lead ... -
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 ... -
Polynomial Approximation Degree Influence on Implicit Network Regularization for Impedance Signal Reconstruction
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)A scanning electrochemical microscope (SECM) with artificial intelligence could generate the sample's activity image from approach curves measured at several points, minimizing the time of measurement and calculating sample ... -
Evaluation of Contour-based Features for Eyeglasses Style Classification
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Eyeglasses style classification is an important task in computer vision with applications in virtual try-on systems, retail, and personalized recommendations. Such systems must operate efficiently in real-time, even under ... -
Evaluation of MoViNet Streaming Models for Real-Time Action Recognition in Thermal Domain
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper investigates the potential of Mobile Video Networks (MoViNet) for real-time human action recognition in the thermal domain. Although MoViNet models have demonstrated strong performance on RGB-based video datasets, ... -
Evaluation of Plane Reconstruction Distortions in Monocular Depth Maps
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Monocular depth estimation is a fundamental problem in computer vision with applications in robotics, augmented reality, and 3D scene reconstruction. This study evaluates the accuracy of plane reconstruction in depth maps ... -
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 ... -
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 ... -
A Systematic Framework for Resistor Tolerance Analysis to Improve Voltage Stability in Electronic Circuits
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)In electronic circuits, ensuring a stable output voltage is crucial, especially when working with voltage dividers. Variations in resistor values due to manufacturing tolerances affected by temperature variations can ... -
Introducing the IRES Tool: A Data-Driven Excel Model for Wind Farm Repowering
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The transition to renewable energy is crucial for addressing climate change and ensuring energy security. Wind energy plays a central role in this shift, but as many wind farms approach the end of their operational lifespan, ...