• 2025 International Conference "Electrical, Electronic and Information Sciences“ (eStream) 

      Morkvėnaitė-Vilkončienė, Inga; Sledevič, Tomyslav; Jankauskis, Ugnius (2025)
    • Characterization of k-Carrageenan and Iron (III) Oxide Based Piezoresistive Film by Microrobotic System 

      Masalskyi, Viktor; Petronienė, Jūratė Jolanta; Petkevičius, Sigitas; Ugnė Piliukaitytė; Zaimis, Uldis; Malani, Ujjawal (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 

      Sirutavičius, Tomas; Osuch, Patryk; Byczuk, Bartlomiej; Rucki, Mirosław; Kilikevičius, Artūras; Žvirblis, Tadas (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% ...
    • Proceedings of the 2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’2025) : Organizers Foreword 

      Navakauskas, Dalius; Medeišis, Artūras; Morkvėnaitė-Vilkončienė, Inga; Sledevič, Tomyslav (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 ...
    • Improving Engineering Education for a Sustainable Future 

      Ovtšarenko, Olga; Safiulina, Elena (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 ...
    • Enhancing Scholarship Allocation Through Machine Learning: A Review of Models and Techniques 

      Remolado, Alvin T.; Dumdumaya, Cristina E. (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 ...
    • Design and Analysis of a Wide Input Voltage Range Low-Dropout Regulator in TSMC 180nm BCD Technology 

      Šalavėjus, Lukas; Barzdėnas, Vaidotas; Vasjanov, Aleksandr; Lee, Tzung-Je (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 ...
    • Comparative Analysis of High-voltage High-frequency Pulse Generator Architectures for Pockels Cells 

      Aleinikov, Edgard; Barzdėnas, Vaidotas (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, ...
    • Holistic View on Decision-making in Cyber Defense Exercises: A Case Study Based in Amber Mist 

      Čiurlienė, Karina (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      Decision-making in cyber defense exercises (CDX) is a complex process that extends beyond technical proficiency, incorporating cognitive, strategic, and behavioral elements. This study presents a holistic view approach to ...
    • Design of a Hybrid Model Based on Statistical and Machine Learning Techniques for Effective Forecasting of Smart Home Energy Consumption 

      Kodali, Yamini; Kumar, Y. V. Pavan; Prakash, K. Purna (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. ...
    • A Hybrid Approach in Developing a Recommendation System for Personalized Selection of Locations for a Visit 

      Lapin, Vladyslav; Smelyakov, Kirill; Chupryna, Anastasiya; Dudar, Zoia (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      Personalized recommendation systems play a crucial role in enhancing user experiences by providing tailored suggestions based on individual preferences and contextual factors. This paper presents a hybrid approach in ...
    • Design and Development of Integrated Human Resource Management System with Face Recognition Attendance 

      Aparece, Harey D.; Gambe, Julia Ann A.; Penton, Jay Mark M.; Valdez, Daryl B. (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 ...
    • Intelligent Traffic Monitoring And Accident Detection System Using YOLOv11 And Image Processing 

      Lupian, Russel Rey F.; Arong, Catherine G.; Betinol, Wendell S.; Valdez, Daryl B. (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      This paper presented improved road safety and traffic management by addressing delays in authorities’ response times through an intelligent traffic monitoring and accident detection system. Traditional traffic monitoring ...
    • Improved MOS Current Mode Logic based Tri-state Buffer using DTMOS and its Applications 

      Bhaskar, Ruchi; Choudhary, Bharat; Saha, Rajesh; Rajpiut, Dheeraj Singh (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      An improved MOS Current Mode Logic (MCML) tri-state buffer design for low-voltage and low-power applications using Dynamic Threshold Voltage MOSFETs (DTMOS) is presented in this work. By using DTMOS transistors for traditional ...
    • PET Neuroimaging Enhancements for Improved Mild Cognitive Impairment Detection 

      Grigas, Ovidijus; Plonis, Darius; Maskeliūnas, Rytis (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) ...
    • Dempster-Shafer WASPAS Decision-Making Method for the Selection Wall Construction of a Single-Family House 

      Baušys, Romualdas; Juodagalvienė, Birutė; Kazakevičiūtė-Januškevičienė, Girūta (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 ...
    • Feature Importance analysis for encrypted brute-force attack detection based on machine learning techniques 

      Kapustin, Vsevolod; Paulauskas, Nerijus; Paulikas, Šarūnas (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 

      Kvietkauskas, Tautvydas; Stefanovič, Pavel (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 

      Hilario, Mark Ryan I.; Inferido, Eliezer C.; Melecio, Jhonlie C.; Viodor, Ariel Christian C. (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 

      Shevchenko, Olena; Kuchapin, Matvii; Dudar, Zoia; Shirokopetleva, Mariya (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 ...