Universiteto leidyba / University's Publishing
Recent Submissions
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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 ... -
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 ... -
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 ... -
Predicting Solid Particle Levels in Diesel Generators using an Autoformer Neural Network
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)The period between 2010 and 2017 was marked by robust economic growth, which resulted in a notable rise in global energy consumption. Specifically, electricity usage surged by 19.4%, while fossil fuels experienced a 9.1% ... -
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 ... -
Proceedings of the 2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’2025) : Organizers Foreword
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)We are very glad to welcome our colleagues – young scientists, researchers and practitioners to the 12-th IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’2025), held in Vilnius Gediminas ... -
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 ...
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