Now showing items 101-120 of 2861

    • 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 ...
    • 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 ...
    • 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 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 ...
    • 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 ...
    • Evaluating CNN, RNN, and Vision Transformer for Emotion Recognition: Strengths and Weaknesses 

      Yushchenko, Artur; Smelyakov, Kirill; Chupryna, Anastasiya (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      This paper explores three prominent deep learning architectures — Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Vision Transformers (ViT) — for emotion recognition, examining their potential ...
    • Exploring Strategies for Literary Translation Using Large Language Models 

      Trofimenko, Oleksii; Smelyakov, Serhii; Chupryna, Anastasiya; Dudar, Zoia (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      Large language models (LLMs) have made significant progress in processing and generating text across multiple languages. However, translating long literary works remains challenging due to the need for consistent character ...
    • A Low-Power 10-bit 72 MS/s Continuous Successive-Approximation Analog-to-Digital Converter 

      Lee, Tzung-Je; Kuo, Shih-Hsien; Chiou, Ji-Hau; Wang, Chua-Chin; Gerfers, Friedel (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      This paper proposess a Low-Power 10-bit 72 MS/s Successive Approximation Analog-to-Digital Converter (SAR ADC), implemented using TSMC 40 nm CMOS technology. The proposed design possesses an innovative dynamic adjustment ...
    • Research on the Efficiency of Applying WebGL and D3.js in the Creation of Graphical Elements in Web Applications 

      Rusakova, Nataliia; Ponikarovska, Nataliia; Shirokopetleva, Mariya (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      With the rising demand for data visualization in web applications, choosing an efficient tool has become critically important for developers. However, as data volumes grow, challenges related to performance and ensuring ...
    • Experimental Analysis of the Effect of Frequency on Power Transformer Size, Cost, and Losses 

      Dawood, Kamran; Alperen Çakir, Muhammed; Kömürgöz, Güven; Tursun, Semih (2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)
      This paper investigates the differences between 50 Hz and 60 Hz power transformers, focusing on key design aspects such as cost, size, and losses. Four different power ratings (1250 kVA, 1600 kVA, 2000 kVA, and 2500 kVA) ...
    • Advanced Deep Learning Approaches for Automated Diagnosis of Cardiac Arrhythmia in Multi-lead ECG Signals 

      Dharshini G, Divya; R, Mohith; B, Sharmila; C, Saraswathy (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 ...
    • Deep Learning-Enabled Inventory Detection for Facility Management System 

      Bilgin, Elif Seray; Kilimci, Zeynep Hilal (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 ...
    • 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 

      Abuda, Carlo Jude P. (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 ...
    • A Comparative Study of Bird Species Classification Using K-Nearest Neighbors, Convolutional Neural Networks, and Support Vector Machines 

      Buslon Malarejes, John Stephen; Man-On Salvaleon, Vanesa Bea; Mission, Joseph Espina; Dapitilla Perin, Max Angelo (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 

      Buslon Malarejes, John Stephen; Man-On Salvaleon, Vanesa Bea; Mission, Joseph Espina; Dapitilla Perin, Max Angelo (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 

      Villamor, Rea R.; Metra, Jan Kerlen P.; Olaco, Tim Joseph; Cariño, Shane Russell; Degamon, Syrl Blaise Ifer; Oraño, Jannie Fleur V. (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 

      Gozo, Florentino C.; Oraño, Jannie Fleur V.; Olaybar, Jimson A.; Bautista, Rodmarc (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 ...
    • 17th International Colloquium „Sustainable decisions in built environment“ 

      Vilnius Gediminas Technical university; Vilniaus Gedimino technikos universitetas (2019)
    • Comparative Analysis between BFS and DFS-Shortest Path Algorithms 

      AlKahtani, Renad; Alhabdan, Amjad; Alosami, Miad; Alshammari, Waad; Abdo, Azza A; Hamdi, Lama (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 ...