Driving Research and Innovation to
address Regional Challenges in
Central Visayas
CVSC catalyzes research and innovation through the CREATES Agenda—supporting
interdisciplinary projects, generating actionable knowledge, and fostering partnerships that
respond to the needs of communities across the region.
CALL FOR PROPOSALS
Our Latest Endeavors
Clothing Classification using the Convolutional Neural Network Inception Model by Paula Esplanad-Mayol
Paper presented during the 2nd International Conference on Information Science and Systems (ICISS...
ESP Tutorial Program for Humanities and Social Sciences Students by Aurelio P. Vilbar
Paper presented during the International Conference for English Teaching Professionals, by the...
2018 Year-end CVSC Narrative Report About its CIDS-Funded Research Project on Sustainable Tourism in Central Visayas
Last December 2018, the UP Cebu Central Visayas Studies Center was able to produce and submit to...
Workshop on Drafting Research Proposals on Sustainable Tourism in Central Visayas Held Successfully
A workshop on sustainable tourism in Central Visayas towards proposing studies on three areas of...
Round Table Discussion on Sustainable Tourism in Central Visayas Held last October 10, 2018
A whole-day round table discussion on sustainable tourism in Central Visayas with UP Cebu faculty...
Our Recent Publications
On Sombor Energy of the Nilpotent Graph of the Ring of Integers Modulo ε
Author(s): Jimboy R. Albaracin, Ph.D. Year Published: August 14, 2025 Abstract/summary: In chemical graph theory, chemical compounds are represented as graphs where atoms are represented as vertices, and the bonds connecting the atoms are...
Growth, Productivity, and Size Structure of Spirulina Strain Under Different Salinity Levels: Implications for Cultivation Optimization
Lead Researcher(s): Imma Krissalina and Brisneve EdullantesStatus: Published Abstract/summary: Salinity serves as a critical environmental factor influencing the physiological and morphological characteristics of Spirulina, a filamentous...
Enhancing Deep Learning-Based Breast Cancer Classification in Mammograms: A Multi-Convolutional Neural Networkwith Feature Concatenation, and an Applied Comparison of Best-Worst Multi-Attribute Decision-Making and Mutual Information Feature Selections
Author(s): Demelo M. Lao Year Published: December 17, 2024 Abstract/summary: Breast cancer remains a leading cause of mortality amongwomen worldwide wherein there is a need for innovative diagnostics to enhance early detection accuracy. The primary...
WILD EDIBLE PLANTS IN ENHANCING POST-DISASTER FOOD SECURITY, ORMOC CITY, PHILIPPINES
Author(s): Patricia Anne G. Nazareno, Ph.D. Year Published: 01 April 2025 Abstract/summary: Wild Edible Plants (WEPs) are a valuable resource for communities facing food insecurity, and their nutritional profiles can provide essential dietary...