Renato R. Maaliw

According to our database, Renato R. Maaliw authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Secure Artificial Intelligence for Precise Vehicle Behavior Prediction in 6G Consumer Electronics.

Sami Ahmed Haider, Janjhyam Venkata Naga Ramesh, Vikas Raina, Renato R. Maaliw, Mukesh Soni, Kamolakhon Nasurova, Jagdish Chandra Patni, Pavitar Parkash Singh

IEEE Trans. Consumer Electron., February, 2024

VANET Network Traffic Anomaly Detection Using GRU-Based Deep Learning Model.

Ghayth AlMahadin, Yassine Aoudni, Mohammad Shabaz, Anurag Vijay Agrawal, Ghazaala Yasmin, Esraa Saleh Alomari, Hamza Mohammed Ridha Al-Khafaji, Debabrata Dansana, Renato Racelis Maaliw

IEEE Trans. Consumer Electron., February, 2024

Knowledge-based deep learning system for classifying Alzheimer's disease for multi-task learning.

Amol Dattatray Dhaygude, Gaurav Kumar Ameta, Ihtiram Raza Khan, Pavitar Parkash Singh, Renato R. Maaliw, Natrayan Lakshmaiya, Mohammad Shabaz, Muhammad Attique Khan, Hany S. Hussein, Hammam A. Alshazly

CAAI Trans. Intell. Technol., 2024

2023

Energy efficient indoor localisation for narrowband internet of things.

Ismail Keshta, Mukesh Soni, Mohammed Wasim Bhatt, Azeem Irshad, Ali Rizwan, Shakir Khan, Renato R. Maaliw, Arsalan Muhammad Soomar, Mohammad Shabaz

CAAI Trans. Intell. Technol., December, 2023

Policy conflict detection approach for decision-making in intelligent industrial Internet of Things.

Pradyumna Kumar Tripathy, Mohammad Shabaz, Abdelhamid Zaïdi, Ismail Keshta, Uttam Sharma, Mukesh Soni, Anurag Vijay Agrawal, Renato R. Maaliw III, D. P. Sharma

Comput. Electr. Eng., May, 2023

Smart robots' virus defense using data mining technology.

Jiao Ye, Hemant N. Patel, Sankaranamasivayam Meena, Renato R. Maaliw, Samuel-Soma M. Ajibade, Ismail Keshta

J. Intell. Syst., 2023

SCOLIONET: An Automated Scoliosis Cobb Angle Quantification Using Enhanced X-ray Images and Deep Learning Models.

Renato R. Maaliw

J. Imaging, 2023

An Enhanced Segmentation and Deep Learning Architecture for Early Diabetic Retinopathy Detection.

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

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

AWFCNET: An Attention-Aware Deep Learning Network with Fusion Classifier for Breast Cancer Classification Using Enhanced Mammograms.

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

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

A Comparative Analysis of the Machine Learning Model for Rainfall Prediction in Cavite Province, Philippines.

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

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

A Low-Cost Highly Responsive Capacitive Control Switch for Lighting and Motor Control System.

Efren D. Villaverde, Renato R. Maaliw, Aubee T. Mahusay, Maurino N. Abuel, Meller P. Gonzales, Alvin Sarraga Alon, Ace C. Lagman, Rhowel M. Dellosa

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Barrier-Free Routes in a Geographic Information System for Mobility Impaired People.

Bernard Haber Ugalde, Renato R. Maaliw, Suresh Palarimath, Mohammed Bakhit Al Mahri, Albert A. Vinluan, Jennifer T. Carpio, Ace C. Lagman, Maurine C. Panergo

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

A Multistage Transfer Learning Approach for Acute Lymphoblastic Leukemia Classification.

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

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Employability Prediction of Engineering Graduates Using Ensemble Classification Modeling.

Renato R. Maaliw, Karen Anne C. Quing, Ace C. Lagman, Bernard Haber Ugalde, Melvin A. Ballera, Michael Angelo D. Ligayo

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification.

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

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Clustering and Classification Models For Student's Grit Detection in E-Learning.

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

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Salted Egg Cleaning and Grading System Using Machine Vision.

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

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021

A Personalized Virtual Learning Environment Using Multiple Modeling Techniques.

Renato R. Maaliw

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Early Prediction of Electronics Engineering Licensure Examination Performance using Random Forest.

Renato Racelis Maaliw

Proceedings of the IEEE World AI IoT Congress, 2021