Now showing items 121-140 of 52423

    • 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 ...
    • 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% ...
    • 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 ...
    • 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 ...
    • 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 

      El Fallah, Saad; Kharbach, Jaouad; Vanagas, Jonas; Vilkelytė, Živilė; Tolvaišienė, Sonata; Ikmel, Ghita (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 

      Boumais, Khaoula; Messaoudi, Fayçal; Lagnaoui, Saloua; El Fallah, Saad; Udris, Dainius (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 

      Lagnaoui, Saloua; Boumais, Khaoula; El Fallah, Saad; En-Naimani, Zakariae; Haddouch, Khalid; Matuzevičius, Dalius (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 

      Elashkar, Nahla; Ibrahim, Ghada; Aboudina, Mohamed; Fahmy, Hossam; Hussein, Ahmed (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 

      Chakravarthi, M. Kalyan; Pavan Kumar, Y. V.; Pradeep Reddy, G. (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 ...
    • MangroveLens: A Smart Solution for Mangrove Species Identification Through MobileNetV3 Network Architecture and Biodiversity Monitoring 

      Viodor, Ariel Christian C. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Mangroves, as vital coastal ecosystems, play a significant role in maintaining biodiversity and providing essential ecosystem services. However, difficulties with species identification and biodiversity monitoring impede ...
    • Free DBMSs Performance for an Inventory Management System based on Spring Boot 

      Guzhov, Viacheslav; Smelyakov, Kyrylo (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This research examines the integration of free Database Management Systems (DBMSs) with a Spring Bootdriven Inventory Management System. Evaluating MySQL, PostgreSQL, MongoDB, and SQLite, the study explores performance ...
    • Implementing a Support Vector Classifier for Student Risk Assessment in Colegio De Getafe: A Machine Learning Approach 

      Remolado, Alvin T.; Brosas, Deborah G. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This study addresses the persistent need for technological advancement in higher education to provide quality higher education and early classification for students who are struggling academically. The study's focus is ...
    • Predicting Geographic Distribution and Potential Habitat of Marine Bivalves * 

      Maravillas, Alme B. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Understanding the habitat suitability of the species has been one of the main focus of biodiversity conservation. Species Distribution Modelling (SDM) has great potential to support marine conservation planning. SDM can ...
    • Exploring the Effectiveness of Vision Transformers in Diabetic Retinopathy Identification via Retinal Imaging 

      Jankevičiūtė, Rūta; Abromavičius, Vytautas (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Vision transformers (ViTs) have begun to be adopted in medical imaging analysis. However, despite their success in other areas of computer vision, ViTs are still largely unexplored in this specific medical imaging task. ...
    • Development of an Algorithm-Based Analysis-Compression Integrated Communication Tracking Management Information System (iCTMIS) 

      Abuda, Carlo Jude P.; Villafuerte, Ritchell S. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This study addresses the challenges of administrative tasks and communication tracking at Visayas State University Alangalang (VSUA), highlighting the inefficiencies in the current manual tracking of communication processes. ...
    • Improved Quick Sort Average Performance Time by Combining with Selection and Insertion Algorithms 

      Aljulaidan, Noura M.; Al abeedah, Norah A.; Almalki, Reem S.; Alqarni, Shahad B.; Alramadan, Zainab R.; Abdo Ali, Azza A. (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      In many real-world applications, sorting is a crucial data structure. Sorting algorithms are methods for rearranging a collection of unsorted items into a desired format or order. A lot of sorting algorithms are developed ...
    • Hybrid Neural Network Classifier for Detecting Weeds and Plant Diseases in Greenhouses 

      Chaikovskyi, Serhii; Smelyakov, Sergey (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      Greenhouse farming plays a crucial role in satisfying the demand throughout the year, regardless of climatic conditions. However, maintaining crop health in greenhouses is critical and challenging. This paper is devoted ...
    • Comparison of Object Detection Algorithms for the Task of Person Detection on Jetson TX2 NX Platform 

      Byzkrovnyi, Oleksandr; Smelyakov, Kyrylo; Chupryna, Anastasiya; Lanovyy, Oleksiy (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This article is an investigation for the best suited algorithm for object detection on Jetson TX2 NX platform. Previous research aimed at determination of the quickest and the most accurate algorithm for obj ect detection ...
    • An Experimental Selection of Deep Neural Network Hyperparameters for Engine Emission Prognosis 

      Žvirblis, Tadas; Matijošius, Jonas; Kilikevičius, Artūras (2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)
      This research presents results and discussion on prognostic deep learning models developed for the prediction of emission parameters of internal combustion engines. The resulting models were trained to predict various ...