Development of an Algorithm-Based Analysis-Compression Integrated Communication Tracking Management Information System (iCTMIS)

 Carlo Jude P Abuda, Ritchell S Villafuerte
 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. The objective continue reading : Development of an Algorithm-Based Analysis-Compression Integrated Communication Tracking Management Information System (iCTMIS)

Impact of Photovoltaic Penetration on Distribution System Performance: A Simulink-Based Study Using the IEEE 9-Bus Mode

 Jereco Jims J Agapito, Dennis D Ngalot, Wilver B Dela PenËœa, Ronald B Lacaba, Flora C Pandac, Khein S Enorasa
 2025

This study investigates the effects of pho- tovoltaic (PV) system integration at different penetra- tion levels (0%, 10%, 30%, and 50%) on the perfor- mance of a three-phase distribution network continue reading : Impact of Photovoltaic Penetration on Distribution System Performance: A Simulink-Based Study Using the IEEE 9-Bus Mode

Polyacrylates with protein recognition and functional modulation

 Darwin C. Gomez, Swarnadeep Seth, Ronnie Mondal, Stephen J Koehler, Jared G Baker, Charles Plate, Ian C Anderson, Mikayla R Smith, Joey Gloriod, Morgan Gunter, Valerie Vaissier Welborn, Sanket A Deshmukh, C Adrian Figg
 June 4, 2025

Molecular definition is usually regarded as a prerequisite to achieve protein recognition and functional modulation, particularly for macromolecular interactions. Herein, we report that polyacrylates with specific combinations of monomers arranged continue reading : Polyacrylates with protein recognition and functional modulation

Object Detection for Wheeled Mobile Robot Based Using Deep Learning: Systematic Review

 Hapsari Peni Agustin Tjahyaningtijas, Parama Diptya Widayaka, Raissa Alfatikarani, Sayyidul Aulia Alamsyah, Pradini Puspitaningayu, L Endah Cahya Ningrum, Jessie R Paragas
 May 2025

The integration of deep learning technologies in object detection has significantly enhanced the capabilities of wheeled mobile robots, making them more efficient and intelligent in navigating complex environments. These technologies continue reading : Object Detection for Wheeled Mobile Robot Based Using Deep Learning: Systematic Review

GEOGAS App: A Geo Routing LPG Delivery Service Application

 Rico Jajeb Cabugatan, Cynthia Esponga, Marinel G Giguracion, Mark Anthony Refuerzo, Jessie Richie N De Los Santos, Giovanni N De Los Santos, Lorna G De Los Santos
 February 2025

The GEOGAS App is equipped with a web application and geolocation technology that enhances the effective and efficient delivery of Liquefied Petroleum Gas in the Municipality of Burauen, Leyte, Philippines. continue reading : GEOGAS App: A Geo Routing LPG Delivery Service Application

Indonesia Rupiah Currency Detection for Visually Impaired People Using Transfer Learning VGG-19

 Raissa Alfatikarani, Laras Suciningtyas, Genta Garuda Bimasakti, Faqisna Putra Mardhatillah, Jessie R. Paragas, Hapsari Peni Agustin Tjahyaningtijas
 February 2025

People with visual impairments often face difficulties in determining the authenticity of paper money, which is a crucial skill to avoid fraud. The limitations of traditional methods, like blind codes continue reading : Indonesia Rupiah Currency Detection for Visually Impaired People Using Transfer Learning VGG-19

Marked Object-Following System Using Deep Learning and Metaheuristics

 Deofel P. Balijon, Ken Gorro, Elmo Ranolo, Lawrence Roble, Rue Nicole Santillan, Anthony Ilano, Joseph Pepito, Emma Sacan
 January 2025

This paper presents a deep learning methodology for a marked object-following system that incorporates the YOLOv8 (You Only Look Once version 8) object identification model and an inversely proportional distance continue reading : Marked Object-Following System Using Deep Learning and Metaheuristics