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ORCIDRenato R. Maaliw
Person information
- affiliation: Southern Luzon State University, Philippines
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Journal Articles
- 2024
[j5]Sami Ahmed Haider, Janjhyam Venkata Naga Ramesh
, Vikas Raina, Renato R. Maaliw, Mukesh Soni, Kamolakhon Nasurova, Jagdish Chandra Patni, Pavitar Parkash Singh:
Secure Artificial Intelligence for Precise Vehicle Behavior Prediction in 6G Consumer Electronics. IEEE Trans. Consumer Electron. 70(1): 3898-3905 (2024)- [j4]Ghayth AlMahadin, Yassine Aoudni, Mohammad Shabaz, Anurag Vijay Agrawal, Ghazaala Yasmin, Esraa Saleh Alomari, Hamza Mohammed Ridha Al-Khafaji, Debabrata Dansana, Renato Racelis Maaliw:
VANET Network Traffic Anomaly Detection Using GRU-Based Deep Learning Model. IEEE Trans. Consumer Electron. 70(1): 4548-4555 (2024) - 2023
- [j3]Ismail Keshta, Mukesh Soni, Mohammed Wasim Bhatt, Azeem Irshad, Ali Rizwan, Shakir Khan, Renato R. Maaliw, Arsalan Muhammad Soomar, Mohammad Shabaz:
Energy efficient indoor localisation for narrowband internet of things. CAAI Trans. Intell. Technol. 8(4): 1150-1163 (2023) - [j2]Pradyumna Kumar Tripathy, Mohammad Shabaz, Abdelhamid Zaïdi, Ismail Keshta, Uttam Sharma, Mukesh Soni, Anurag Vijay Agrawal, Renato R. Maaliw III, D. P. Sharma:
Policy conflict detection approach for decision-making in intelligent industrial Internet of Things. Comput. Electr. Eng. 108: 108671 (2023) - [j1]Renato R. Maaliw:
SCOLIONET: An Automated Scoliosis Cobb Angle Quantification Using Enhanced X-ray Images and Deep Learning Models. J. Imaging 9(12): 265 (2023)
Conference and Workshop Papers
- 2023
- [c12]Pitz Gerald G. Lagrazon, Jennifer Edytha E. Japor, Renato R. Maaliw, Julie Ann B. Susa, Maria Rossana D. de Veluz, Ace C. Lagman, Manuel Bautista Garcia, Arnold B. Platon:
A Comparative Analysis of the Machine Learning Model for Rainfall Prediction in Cavite Province, Philippines. AIIoT 2023: 421-426 - [c11]Renato R. Maaliw, Mukesh Soni, Manuel P. Delos Santos, Maria Rossana D. de Veluz, Pitz Gerald G. Lagrazon, Mariebeth P. Seño, Devie R. Salvatierra-Bello, Reynaldo V. Danganan:
AWFCNET: An Attention-Aware Deep Learning Network with Fusion Classifier for Breast Cancer Classification Using Enhanced Mammograms. AIIoT 2023: 736-744 - [c10]Renato R. Maaliw, Zoren P. Mabunga, Maria Rossana D. de Veluz, Alvin Sarraga Alon, Ace C. Lagman, Manuel Bautista Garcia, Luisito Lolong Lacatan, Rhowel M. Dellosa:
An Enhanced Segmentation and Deep Learning Architecture for Early Diabetic Retinopathy Detection. CCWC 2023: 168-175 - 2022
- [c9]Renato R. Maaliw, Karen Anne C. Quing, Julie Ann B. Susa, Jed Frank S. Maraueses, Ace C. Lagman, Rossana T. Adao, Ma. Corazon Fernando Raguro, Ranie Baul Canlas:
Clustering and Classification Models For Student's Grit Detection in E-Learning. AIIoT 2022: 39-45 - [c8]Renato R. Maaliw, Julie Ann B. Susa, Alvin Sarraga Alon, Ace C. Lagman, Shaneth C. Ambat, Manuel Bautista Garcia, Keno Cruz Piad, Ma. Corazon Fernando Raguro:
A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification. AIIoT 2022: 111-117 - [c7]Laily Mariz A. Bengua, Vanessa Jane D. De Guzman, Danica Mae S. Macunat, Efren D. Villaverde, Aubee T. Mahusay, Renato R. Maaliw, Ace C. Lagman, Alvin S. Alon:
Salted Egg Cleaning and Grading System Using Machine Vision. AIIoT 2022: 489-493 - [c6]Renato R. Maaliw, Karen Anne C. Quing, Ace C. Lagman, Bernard Haber Ugalde, Melvin A. Ballera, Michael Angelo D. Ligayo:
Employability Prediction of Engineering Graduates Using Ensemble Classification Modeling. CCWC 2022: 288-294 - [c5]Bernard Haber Ugalde, Renato R. Maaliw, Suresh Palarimath, Mohammed Bakhit Al Mahri, Albert A. Vinluan, Jennifer T. Carpio, Ace C. Lagman, Maurine C. Panergo:
Barrier-Free Routes in a Geographic Information System for Mobility Impaired People. UEMCON 2022: 119-123 - [c4]Efren D. Villaverde, Renato R. Maaliw, Aubee T. Mahusay, Maurino N. Abuel, Meller P. Gonzales, Alvin Sarraga Alon, Ace C. Lagman, Rhowel M. Dellosa:
A Low-Cost Highly Responsive Capacitive Control Switch for Lighting and Motor Control System. UEMCON 2022: 444-449 - [c3]Renato R. Maaliw, Alvin Sarraga Alon, Ace C. Lagman, Manuel Bautista Garcia, Julie Ann B. Susa, Ryan Carreon Reyes, Ma. Corazon Fernando Raguro, Alexander A. Hernandez:
A Multistage Transfer Learning Approach for Acute Lymphoblastic Leukemia Classification. UEMCON 2022: 488-495 - 2021
- [c2]Renato Racelis Maaliw:
Early Prediction of Electronics Engineering Licensure Examination Performance using Random Forest. AIIoT 2021: 41-47 - [c1]Renato R. Maaliw:
A Personalized Virtual Learning Environment Using Multiple Modeling Techniques. UEMCON 2021: 8-15
Coauthor Index
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