Now showing items 1-9 of 9

    • 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 ...
    • 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 ...
    • Identifying Mangrove Species using Deep Learning Model and Recording for Diversity Analysis: A Mobile Approach 

      Viodor, Ariel Christian C.; Aliac, Chris Jordan G.; Santos-Feliscuzo, Larmie T. (2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2023, Vilnius, Lithuania, 2023)
      Mangrove forests are essential to the coastal ecosystem and provide numerous ecological and economic benefits. Accurate identification and monitoring of mangrove species are crucial for their conservation and management. ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...