2025 International Conference "Electrical, Electronic and Information Sciences“ (eStream)
Recent Submissions
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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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
Research on Hybrid Image Storage Models to Ensure Data Security and Privacy
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper addresses the growing challenge of secure and efficient image storage using hybrid architectures that combine local and cloud resources. We propose and compare three architectural models with integrated encryption ... -
Feature Importance analysis for encrypted brute-force attack detection based on machine learning techniques
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)This paper explores the challenges and opportunities in detecting cyber-attacks within encrypted network traffic. While encryption ensures data privacy and secure communications, it also obscures malicious activities from ... -
Trends and Challenges of Multimodal Solutions for Text and Image Context Extraction
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The number of published images, texts, and other information rapidly increases in today’s digital space. The ability to simultaneously process textual and visual information helps to interpret content more accurately. It ... -
OPeraTE.AI: Optimized Personnel and Inmate Tracking Efficiency Through Facial Recognition using Siamese Neural Network
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The Philippine National Police (PNP) in Clarin, Bohol, faces significant challenges in managing personnel and inmate information due to disorganized files, manual processes, and a lack of a centralized system. This ... -
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 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 ... -
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 ... -
PET Neuroimaging Enhancements for Improved Mild Cognitive Impairment Detection
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Mild Cognitive Impairment (MCI) is a neurode-generative condition characterized by cognitive decline that may progress to Alzheimer’s disease. Modern neuroimaging techniques, particularly Magnetic Resonance Imaging (MRI) ... -
Improving Engineering Education for a Sustainable Future
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Integrating sustainability into engineering education is essential for equipping future professionals with the skills to build a resource-efficient world. This paper explores an interdisciplinary approach at TTK University ...
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