Now showing items 121-140 of 2863

    • 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 ...
    • Optimized Fruit Detection in Complex Environments Using YOLOv11n for Smart Agricultural Applications 

      Valdez, Daryl B. (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 

      Aparicio, Alme M.; Viodor, Ariel Christian C. (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 

      Polinar, Jade P.; Miñoza, Al Jastin N.; Daño, Sil Janine A.; Aparicio, Alme M. (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 

      Kyrychenko, Iryna; Nechvolod, Kostiantyn; Makarov, Vitaliy; Gruzdo, Iryna (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 

      Ariño, Angeline W.; Managaytay, John Jayford P.; Bacalso, John Vic C.; Remolado, Alvin T. (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 

      Kyrychenko, Iryna; Tereshchenko, Glib; Kozak, Daria; Chupryna, Anastasiya (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 

      Kyrychenko, Iryna; Tereshchenko, Glib; Kozynets, Maksym; Dudar, Zoia (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 

      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 ...
    • Enhancing Mango Leaf Disease Diagnosis Using Convolutional Neural Networks 

      Godmalin, Rey Anthony (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 

      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 ...
    • 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) ...
    • 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 ...