RENATO R. MAALIW III, DIT

Gaurav Tewari, Shajeni Justin, Ihtiram Khan, Renato R. Maaliw III, Nazmuz Sakib and Ravi Pal, "5G Network Life Cycle Management Platform Based on Big Data and Machine Learning," Published in India (Under Examination), Application Number: 202311002736, January 2023, Check Status

Ali Hadi Abdulwahid, Tariq Hussain, Renato R. Maaliw III, Srujana Pennam, Mahendra Sudhir Sawane and H. Ganesan, "Novel Approach to Identify the Security Issues in Internet of Things (IoT) and Cloud Computing Service Model with Suggested Solution," Published in India (Under Examination), Application Number: 202341001050, January 2023, Check Status

Manish Maheshwari, K. Raghavendra Prasad, Vinay Nagarad Dasavandi Krishnamurthy, Mandeep Kaur Sandhu, Mohsin Shaikh and Renato R. Maaliw III, "Artificial Intelligence-Based Approach for Evaluating and Revealing Consumer Insights Through Visual Analysis of Social Media Images," Published in India (Under Examination), Application Number: 202321000046, January 2023, Check Status

Bhuvanesh Baniya, Rakesh Patkar, K. Raghavendra Prasad, Nandini Rangi, V. Murugesan and Renato R. Maaliw III, "Data Science and AI Based Automatic Medical Report Generation and Classification of Breast Cancer Along Its Stages," Published in India (Under Examination), Application Number: 202211075980, December 2022, Check Status

Geovanny Genaro Reivan Ortiz, Ankur Sharma, K. Raghavendra Prasad, Vivek Basavegowda Ramu, Sheshang Degadwala and Renato R. Maaliw III, "IOT and Blockchain Integrated Framework for Intelligent Customized Citizen Identity Management System for Smart City Infrastructure Platform," Published in India (Under Examination), Application Number: 202211074750, December 2022, Check Status

Vinay Nagarad Dasavandi Krishnamurthy, Swati Atre, Renato R. Maaliw III, S. Meena, Deep Chatterjee and Prasanta Pratim Bairagi, "A Novel Method for Preparing Data for Processing bu Artificial Intelligence and Machine Learning Systems," Published in India (Under Examination), Application Number: 202221069879, December 2022, Check Status

Abdelhamid Zaidi, Renato R. Maaliw III, K.P. Maheswari, and Haewon Byeon, "Machine Learning Explained: A Practical Guide to Data Driven Decision Making," Xoffencer Publication India, ISBN: 978-81-19534-45-6, 201 pages, October 2023, Buy Now

Anand Ashok Khatri, Ashok Kumar, Namrata Gohel, and Renato Racelis Maaliw III, "Machine Learning in Healthcare," Xoffencer Publication India, ISBN: 978-93-94707-99-3, 235 pages, August 2023, Buy Now.

Marmelo V. Abante, Roselie B. Alday, Jerald S. Gongora, Alice M. Lacorte, Ace C. Lagman, Renato R. Maaliw III, Alvin R. Malicdem, Cecilia A. Mercado, Corazon B. Rebong, Rejan L. Tadeo, Renato A. Villegas, and Loupel B. Gueta, "Introduction to Project Management," Unlimited Books Library Services & Publishing Inc., ISBN: 978-621-427-131-3, 196 pages, August 2023, Buy Now

Amol Dattatray Dhaygude, Pushpendra Kmar Verma, Sheshang D. Degadwala, and Renato R. Maaliw III, "Deep Learning for Computer Vision," Xoffencer Publication India, ISBN: 978-93-94707-79-5, 220 pages, August 2023, Buy Now

Shashi, Rashi Rastogi, Renato R. Maaliw III, and Ashok Kumar, "Theory and Applications in Deep Learning," Xoffencer Publication India, ISBN: 978-93-94707-77-1, 215 pages, April 2023, Buy Now

C.Y. Hsu, M.J. Saadh, A.G. Taki, S.K. Mohammed, H. Bahair, A.H. Adthab, D. Abduvalieva, H. Mumtaz, M.M. Salem-Bekhit, M. Mirzaei, M. Da'i, R.R. Maaliw III, and S.A. Mosaddad, "Density Functional Theory Based Analyses of Beryllium Oxide Fullerene Assisted Adsorptions of Ammonia, Phosphine, and Arsine Toxic Gases towards Sensing and Removal Prospective Applications," Colloids and Surfaces A: Physicochemical and Engineering Aspects, Elsevier, July 2024, DOI: 10.1016/j.colsurfa.2024.133939

Awad Bin Naeem, Biswaranjan Senapati, Abdelhamid Zaidi, Renato R. Maaliw III, Md. Sakiul Islam Sudman, Debabrata, Friban Almeida, and Hesham Sakr, "Detecting Three Different Diseases of Plants Using CNN Model and Image Processing," Journal of Electrical Systems, Elsevier, May 2024, DOI: https://doi.org/10.52783/jes.1455

M.J. Saadh, T.S. Addulrahman, J. Narayanan, R. Sridevi, M. Soliyeva, N. Hajali, Y. Nazariyan Parizi, E. Balali, Renato R. Maaliw III, M. Da'i, and M. Mirzaei, "A Molecular Insight into the Development of Sensitive Glucometers along with DFT Investigation of Glucose Adsorption by a Beryllium Oxide Particle," Physica B: Condensed Matter, Elsevier, May 2024, DOI: https://doi.org/10.1016/j.physb.2024.415855

M.J. Saadh, C.Y. Hsu, S.F. Mahmud, H. Mumtaz, S.K. Mohammed, H. Bahair, K. Aday, M. Mirzaei, M. Da‘i, M.M. Bekhit, Renato R. Maaliw III, S. Ghotekar, and S.A. Mosaddad, "A Facile Platform of Kidney Failure Detection through the Creatinine Biomarker Adsorption by a Zinc-Doped Nanocone along with DFT Computational Assessments," Computational and Theoretical Chemistry, Elsevier, May 2024, DOI: https://doi.org/10.1016/j.comptc.2024.114553

Sami Haider, Janjhyam Ramesh, Vikas Raina, Renato R. Maaliw III, Mukesh Soni, Kamolakhon Nasurova, Jagdish Chandra Patni, and Pavitar Parkash Singh, "Secure Artificial Intelligence for Precise Vehicle Behavior Prediction in 6G Consumer Electronics," IEEE Transactions on Consumer Electronics, IEEE, March 2024, DOI: 10.1109/TCE.2024.3369399

Renato R. Maaliw III and Sheshang Degadwala, "Artificial Intelligence and Blockchain-Based Optimized and Fair Payment Scheme over Cloud Computing System," Journal of Engineering, Science and Mathematics, JESM, February 2024, DOI: https://doi.org/10.2583/

Amol Dattatray Dhaygude, Gaurav Kumar Ameta, Ihtiram Raza Khan, Pavitar Parkash Singh, Renato R. Maaliw III, Natrayan Lakshmaiya, Mohammad Shabaz, Muhammad Attique Khan, Hany S. Hussein, and Hammam Alshazly, "Knowledge-Based Deep Learning System for Classifying Alzheimer's Disease for Multi-task Learning," CAAI Transactions on Intelligence Technology, Wiley-Blackwell, February 2024, DOI: https://doi.org/10.1049/cit2.12291

Ghayth Almahadin, Yassine Aoudni, Mohammad Shabaz, Anurag Vijay Agrawal, Ghazaala Yasmin, Esraa Saleh Alomari, Hamza Mohammed Ridha Al-Khafaji, Debabrata Dansana, and Renato R. Maaliw III, "VANET Network Traffic Anomaly Detection using GRU-Based Deep Learning Model," IEEE Transactions on Consumer Electronics, January 2024, DOI: 10.1109/TCE.2023.3326384

M.J. Saadh, M.N. Abdulraheem, H.H. Ahmed, S.J. Mohammed, M. Alwan, A.Y. Ali, D.A. Karimov, Renato R. Maaliw III, K. Harismah, and M. Mirzaei, "An Enhanced Adsorption of Paracetamol Drug using the Iron-Encapsulated Boron Carbide Nanocage: DFT Outlook," Computational and Theoretical Chemistry, January 2024, DOI: https://doi.org/10.1016/j.comptc.2023.114421

Renato Maaliw III, "SCOLIONET: An Automated Scoliosis Cobb Angle Quantification Using Enhanced X-Ray Images and Deep Learning Models," Journal of Imaging, MDPI, December 2023. DOI: https://doi.org/10.3390/jimaging9120265

M.J. Saadh, Mahmoud Mirzaei, H.H. Amed, W.M. Taher, M. Alwan, H. Meliyev, Renato R. Maaliw III and Muhammad Dai' "Computational Assessments of Sumanene-Hydroxyurea Conjugations for Proposing a Novel Drug Design and Delivery Platform," Chemical Physics Impact, Elsevier, December 2023, DOI: https://doi.org/10.1016/j.chphi.2023.100365

M.J. Saadh, S.M. Mohealdeen, Chou-Yi Hsu, U.A. Jumanazarov, Renato R. Maaliw III, Mahmoud Mirzaei, Muhammad Dai', and Kun Harismah, "Assessments of Carbon and Boron Nitride Graphdiyne Nanosheets for Exploring the Amphetamine Drug Adsorbents/Sensors along with Density Functional Theory," Chemical Physics Impact, Elsevier, December 2023, DOI: https://doi.org/10.1016/j.chphi.2023.100373

M.J. Saadh, M. Mirzaei, B.S. Abdullaeva, Renato R. Maaliw III, M. Da'i, M.M. Salem-Bekhit, and R. Akhavan-Sigari, "Explorations of Structural and Electronic Features of an Enhanced Iron-Doped Boron Nitride Nanocage for Adsorbing/Sensing Functions of the Hydroxyurea Anticancer Drug Delivery under Density Functional Theory Calculations," Physica B: Condensed Matter, Elsevier, December 2023, DOI: https://doi.org/10.1016/j.physb.2023.415445

M.M. Salem-Bekhit, S. Al Zahrani, N.A. Alhabib, Renato R. Maaliw III, M. Da'i, and M. Mirzaei, "Metal-Doped Fullerenes as Promising Drug Carriers of Hydroxycarbamide Anticancer: Insights from Density Functional Theory," Chemical Physics Impact, Elsevier, December 2023, DOI: https://doi.org/10.1016/j.chphi.2023.100347

Mukesh Soni, Mohammad Shabaz, Renato R. Maaliw III, Ismail Keshta, Rasool Altaee, and Sanju Das, "Cloud-Based Non-Invasive Cognitive Breath Monitoring System for Patients in Healthcare System," International Journal of Data Science and Analytics, Springer Nature, October 2023, DOI: https://doi.org/10.1007/s41060-023-00461-1

Mohamed J. Saadh, Faris Anad Muhammad, Romina Mahdavi, Yasaman Nazariyan Parizi, Ebrahim Balali, Juan Carlos Cotrina-Aliaga, Mohaned Adil, Salam Ahjel, Meryelem Tania Churampi Arellano, Yanina Gallardo-Lolandes, Renato R. Maaliw III, Mahmoud Mirzaei, and Kun Harismah, "Exploring Impacts of Oil and Water Environments on the Structural and Electronic Features of Vitamin B3 along with DFT Calculations," Journal of Medicinal and Chemical Science, Sami Publishing Company, October 2023, DOI: 10.26655/JMCHEMSCI.2023.10.17

Mohamed J. Saadh, Muhammad Ali Abdulllah Almoyad, Meryelem Tania Churampi Arellano, Renato R. Maaliw III, Roxana Yolanda Castillo-Acobo, Sarah Salah Jalal, Kumaraswamy Gandla, Mohammed Obaid, Asmaa Jamal Abdulwahed, Azher A. Ibrahem, Ioan Sârbu, Ashima Juyal, Natrayan Lakshmaiya, and Reza Akhavan-Sigari, "Long Non-Coding RNAs: Controversial Roles in Drug Resistance of Solid Tumors Mediated by Autophagy," Cancer Chemotherapy and Pharmacology, Elsevier, September 2023, DOI: https://doi.org/10.1007/s00280-023-04582-z

Jiao Ye, Hemant N. Patel, S. Meena, Renato R. Maaliw III, Samuel-Soma M. Ajibade, and Ismail Keshta, "Smart Robots' Virus Defense Using Data Mining Technology," Journal of Intelligent System, De Gruyter, September 2023, DOI: https://doi.org/10.1515/jisys-2023-0065

Geovanny Genaro Reivan Ortiz, Neelam Hazoor Zaidi, Ravinder S. Saini andres Alexis Ramirez Coronel, Tahani Alsandook, Methaq Hadi Lafta, Jose Luis Arias-Gonzales, Ali H. Amin, and Renato R. Maaliw III, "The Developing Role of Extracellular Vesicles in Autoimmune Diseases: Special Attention to Mesenchymal Stem Cell-Derived Extracellular Vesicles," International Immunopharmacology, Elsevier, September 2023, DOI: https://doi.org/10.1016/j.intimp.2023.110531

Kirti Shukla, Archana Kollu, Poonam Panwar, Mukesh Soni, Latika Jindal, Hemlata Patel, Ismail Keshta, and Renato R. Maaliw III, "Energy-Efficient Resource Allocation Over Wireless Communication Systems Through Deep Reinforcement Learning," International Journal of Communication Systems, Wiley, August 2023, DOI: https://doi.org/10.1002/dac.5589

Renato R. Maaliw III, Haewon Byeon, and Suchitra Bala, "Supervised Probabilistic Approach for Drug Target Prediction," Journal of Engineering, Science and Mathematics (JESM), August 2023, Volume 2, Issue 1 | Full-Text

Pradyumna Kumar Tripathy, Mohammad Shabaz, Abdelhamid Zaidi, Ismail Keshta, Uttam Sharma, Mukesh Soni, Anurag Vijay Agrawal, Renato R. Maaliw III, and D. P. Sharma. "Policy Conflict Detection Approach over Intelligent Industrial Internet of Things for Decision-Making," Computers and Electrical Engineering Journal, Volume 108, 108671, Elsevier, May 2023, DOI: 10.1016/j.compeleceng.2023.108671

Ismail Keshta, Mukesh Soni, Mohammed Bhatt, Azeem Irshad, Ali Rizwan, Shakir Khan, Renato Maaliw III, Arsalan Soomar and Mohammad Shabaz, "Energy Efficient Indoor Localization for Narrowband Internet of Things," IET CAAI Transactions on Intelligence Technology, Wiley - Blackwell, March 2023, DOI: 10.1049/cit2.12204

Maria Rossana D. De Veluz, Anak Agung Ngurah Perwika Redi, Renato R. Maaliw III, Satria Fadil Persada, Yogi Tri Prasetyo, and Michael Nayat, "Scenario-Based Multi-Objective Location-Routing Model for Humanitarian Logistics," Sustainability (Special Issue on Sustainable Planning & Preparedness for Emergency Disasters), MDPI, March 2023, DOI: 10.3390/su15064882

M. J. Saadh, A. H. Amin, S. Farhadiyan, M. S. Sadeghi, S. A. Shahrtash, Renato R. Maaliw III, A. Saimmai, B. Abedi Kiasari, M. Da'i, M. Mirzaei, and R. Akhavan-Sigari, "Sensing Functions of an Iron-Doped Boron Nitride Nanocone Towards Acetaminophen and its Thio/Thiol Analogs: A DFT Outlook," Diamonds and Related Materials Journal, Volume 133, 109749, Elsevier, March 2023, DOI: 10.1016/j.diamond.2023.109749

Renato R. Maaliw III, "Adaptive Virtual Learning Environment Based on Learning Styles for Personalizing E-Learning System: Design and Implementation," International Journal of Recent Technology and Engineering (IJRTE), BlueEyes Publishing, March 2020, DOI: 10.35940/ijrte.F8901.038620

Renato R. Maaliw III, "Web and Mobile Enabled IT Asset Management System for Distributed Enterprises," International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), April 2017, Link.

Renato R. Maaliw III, "Classification of learning styles in virtual learning environment using data mining: A basis for adaptive course design," International Research Journal of Engineering and Technology (IRJET), July 2016, Link.

Renato R. Maaliw III, Debbie Salvatierra-Bello, Mariebeth P. Seño, and Reynaldo V. Danganan, "A Feasibility Study on the Program Offering of Bachelor of Science in Information Technology (Web and Mobile Applications Development)," (Preprint), 2020, Link.

Biswaranjan Senapati, Awad Bin Naeem, and Renato R. Maaliw III, "Machine Learning Model for Improving the Overall Equipment Effectiveness in Industrial Manufacturing Sites," Book Chapter on Advances in Computational Intelligence and its Application, CRC Press (Routledge | Taylor & Francis Group), June 2024, DOI: 10.1201/9781003488682-20

Priya Goyal, Sachin Gupta, Renato R Maaliw III, Mukesh Soni, Alikulov Azamat Tuygunovich, Aws Zuhair Sameen, "CNN Based Self-Attention Mechanicsm for Cross Model Receipt Generation for Food Industry," Book Chapter on Next Generation Computing and Information Systems, CRC Press (Routledge | Taylor & Francis Group), June 2024, DOI: [Pending]

Saurabh Dhanik, Bhargavi Posinasetty, Mohammed Wasim Bhatt, Renato R Maaliw III, Haewon Byeon, Aws Zuhair Sameen, "Re-Weighting X-Ray Images Classification using Multi-Class Deep Learning CNN Models," Book Chapter on Next Generation Computing and Information Systems, CRC Press (Routledge | Taylor & Francis Group), June 2024, DOI: [Pending]

Renato R. Maaliw III, Haewon Byeon, Ravi Kumar, and Mukesh Soni, "Dynamic Deployment and Traffic Scheduling of UPF in 5G Networks," Book Chapter on Networks Attack Detection on 5G Networks using Data Mining Techniques, CRC Press (Routledge | Taylor & Francis), April 2024, DOI: 10.1201/9781003470281

Manuel B. Garcia, Precious S. Garcia, Renato R. Maaliw III, Pitz Gerald Gonzales Lagrazon, Yunifa Miftachul Arif, Kingsley Ofosu-Ampong, Ahmed Mohamed Fahmy Yousef, and Chockalingam Aravind Vaithilingam, "Technoethical Considerations for Advancing Health Literacy and Medical Practice: A Posthumanist Framework in the Age of Healthcare 5.0," Book Chapter on "Emerging Technologies for Health Literacy and Medical Practice", IGI Global, February 2024, DOI: 10.4018/979-8-3693-1214-8.ch001

V. Selvakumar, Renato R. Maaliw III , Ravi Mohan Sharma, Rajvardhan Oak, Pavitar Parkash Singh, and Ashok Kumar, "Blockchain-Aware Federated Anomaly Detection Scheme for Multivariate Data," Book Chapter for "Artificial Intelligence, Blockchain, Computing and Security," CRC Press (Taylor & Francis Group), December 2023. DOI: https://doi.org/10.1201/9781003393580

Motashim Rasool, Arun Khatri, Renato R. Maaliw III, G. Manjula, M. S. Kishan Varma, and Sohit Agarwal, "Blockchain-Aware Secure Lattice Aggregate Signature Scheme," Book Chapter for "Artificial Intelligence, Blockchain, Computing and Security," CRC Press (Taylor & Francis Group), December 2023. DOI: https://doi.org/10.1201/9781003393580

M. Jayakrishna, V. Selvakumar, Atul Kumar, Salunke M. Dilip, and Renato R. Maaliw III, "Multi-Scale Memory Residual Network-Based Deep Learning Model for Network Traffic Anomaly Detection," Intelligent Computing and Networking | Lecture Notes in Networks and Systems Book Series, Springer Nature, August 2023, DOI: https://doi.org/10.1007/978-981-99-3177-4_35

Amita Shah, Hetal Pandya, Renato R. Maaliw III, Akramjon Karimov, Mukesh Soni, and Ismail Keshta, "PUF-Based Lightweight Authentication Protocol for IoT Devices," Intelligent Computing and Networking | Lecture Notes in Networks and Systems Book Series, Springer Nature, August 2023, DOI: https://doi.org/10.1007/978-981-99-3177-4_29

Sagar Dhanraj Pande, Govinda Rajulu Lanke, Mukesh Soni, Mukund Anant Kulkarni, Renato R. Maaliw III, and Pavitar Parkash Singh, "Deep Learning-Based Intrusion Detection Model for Network Security," Intelligent Computing and Networking | Lecture Notes in Networks and Systems Book Series, Springer Nature, August 2023, DOI: https://doi.org/10.1007/978-981-99-3177-4_27

Pitz Gerald G. Lagrazon, Jennifer Edytha E. Japor, Julie Ann B. Susa, Marmelo V. Abante, Renato R. Maaliw III, Arnold B. Platon, Ace C. Lagman, and Manuel B. Garcia "Comparative Analysis of Machine Learning Models for Relative Humidity Prediction in the Philippines," IEEE Xplore, IEEE, March 2024, DOI: 10.1109/ICE-SMARTECH59237.2023.10461954 | Full Text not yet available

Abhay Chaturvedi, Vrince Vimal, Samir Rana, Rajesh Pande,Renato R. Maaliw III, and Abhijit Gupta, "Green IoT for Eco-Friendly and Sustainable Smart Cities: Computer Integration in Sustainability," IEEE Xplore, February 2024, DOI: 10.1109/ICCSAI59793.2023.10421466

Haewon Byeon, Pramod Kumar, Mehul Manu, Renato R. Maaliw III, Pavitar Singh, and Ramya Maranan "Editable Blockchain for Secure IoT Transactions," IEEE Xplore, January 2024, DOI: 10.1109/SmartTechCon57526.2023.10391293

Pitz Gerald G. Lagrazon, Jennifer Edytha E. Japor, Maria Rossana D. De Veluz, Renato R. Maaliw III, Frederick T. Villa, Maria Corazon B. Abejo, Loretta P. Arroyo, and Jed Frank S. Marqueses, "Ensemble-Based Prediction Model for Enhanced Electronics Engineering Licensure Examination Results Using Student Performance Analysis," IEEE Xplore, December 2023, DOI: 10.1109/ICEEIE59078.2023.10334657

Renato R. Maaliw III, Mukesh Soni, Manuel P. Delos Santos, Maria Rossana D. de Veluz, Pitz Gerald G. Lagrazon, Mariebeth P. Seño, Devie R. Salvatierra - Bello, and Reynaldo V. Danganan, "AWFCNET: An Attention-Aware Deep Learning Network with Fusion Classifier for Breast Cancer Classification Using Enhanced Mammograms," IEEE Xplore, July 2023, DOI: 10.1109/AIIoT58121.2023.10174427

Pitz Gerald G. Lagrazon, Jennifer Edytha E. Japor, Renato R. Maaliw III, Julie Ann B. Susa, Maria Rossana D. De Veluz, Ace C. Lagman, Manuel B. Garcia, and Arnold B. Platon, "A Comparative Analysis of the Machine Learning Model for Rainfall Prediction in Cavite Province, Philippines," IEEE Xplore, July 2023, DOI: 10.1109/AIIoT58121.2023.10174533

Awad Bin Naeem, Abdul Majid Soomro, Abhishek Bhuva, Kashif Bashir, Dipen Bhuva, Renato R. Maaliw III, and Wael Abdel-Rehim, "Intelligent Four-Way Crossroad Safety Management for Autonomous, Non-Autonomous and VIP Vehicles," IEEE Xplore, June 2023, DOI: 10.1109/ICEST56843.2023.10138829

Abdul Majid Soomro, Awad Bin Naeem, Biswaranjan Senapati, Kashif Bashir, Satyabrata Pradhan, Renato R. Maaliw III, and Hesham Shakr, "Constructor Development: Predicting Object Communication Errors," IEEE Xplore, June 2023, DOI: 10.1109/ICEST56843.2023.10138846

Nazia Wahid, Abdelhamid Zaidi, Gaurav Dhiman, Manika Manwal, Dheresh Soni, and Renato R. Maaliw III, "Identification of Coronary Artery Disease Using Extra Tree Classification," IEEE Xplore, June 2023, DOI: 10.1109/ICICT57646.2023.10134338

Bethrina Ira A. Carreon, Camille Y. Dequito, Cristel Joyce M. Esmerna, Zoren P. Mabunga, Jennifer C. Dela Cruz, Renato R. Maaliw III, and Alejandro H. Ballado Jr., "Golden Apple Snail 'Kuhol' Eggs Detection Using MATLAB Image Processing," IEEE Xplore, May 2023, DOI: 10.1109/HNICEM57413.2022.10109586

Manuel B. Garcia, Geliza Marie Alcober, Renato R. Maaliw III, Brandon Sibbaluca, Jayson Dela Fuente, and Anna Liza Ramos, "Sociodemographic Profile as Moderators in the Technology Acceptance of Productivity Applications," IEEE Xplore, May 2023, DOI: 10.1109/HNICEM57413.2022.10109434

Manuel B. Garcia, Teodoro F. Revano, Pocholo James Loresco Renato R. Maaliw III, Ryan Michael Oducado and, Kadir Uludag, "Virtual Dietitian as a Precision Nutrition Application for Gym and Fitness Enthusiasts: A Quality Improvement Initiative," IEEE Xplore, May 2023, DOI: 10.1109/HNICEM57413.2022.10109490

Ronel Ramos, Ace Lagman, Roman De Angel, Maria Rona Perez, and Renato R. Maaliw III "I-Respond: Mobile Application for Emergency Response Using Dijkstra’s Algorithm Shortest Path," IEEE Xplore, May 2023, 10.1109/HNICEM57413.2022.10109620

Renato R. Maaliw III, Zoren P. Mabunga, Maria Rossana D. De Veluz, Alvin S. Alon, Ace C. Lagman, Manuel B. Garcia, Luisito Lolong Lacatan, and Rhowel M. Dellosa, "An Enhanced Segmentation and Deep Learning Architecture for Early Diabetic Retinopathy Detection," IEEE Xplore, April 2023, DOI: 10.1109/CCWC57344.2023.10099069

Jake Dave M. Esteban, Michaela D. Gipala, Alexander Hong, Nealfred David C. Sta Ana, Joseph Q. Calleja, Ma. Corazon Fernando-Raguro, Ace C. Lagman, and Renato Maaliw III, "OCLEAN: An Endless 2D Mobile Game Focused on The Awareness of Cleaning Marine Plastic Waste," IEEE Xplore, March 2023, DOI: 10.1109/iCORE58172.2022.00045

Zhen Guang Yang, Leonard L. Alejandro, Charlene I. Vergara, Renato R. Maaliw III, Alvin S. Alon, Ryan S. Evangelista, Reden Paul L. Rivera, and Ronnel C. Delos Santos, "Multi-Active Multi-Datacenter Distributed Database Architecture Design Base-on Secondary Development Zookeeper," IEEE Xplore, March 2023, DOI: 10.1109/ICETECC56662.2022.10069506

Rhowel M. Dellosa, Dennis C. Malunao, Jo Ann D. Doculan, Renato R. Maaliw III, Jeddie M. Zarate, Ryan S. Evangelista, and Ma. Cecilia G. Adefuin "Detecting Appropriate and Inappropriate COVID-19 Face Mask Wear in Controlled Environments Using Transfer Learning-Based Convolutional Neural Network," IEEE Xplore, March 2023, DOI: 10.1109/ICETECC56662.2022.10069506

Zoren Mabunga, Jushua Ramos, Brian Aaron Bermudez, Carloui Cruz, Jennifer Dela Cruz, and Renato R. Maaliw III, "Population Estimation Using Wi-Fi's Received Signal Strength Indicator Based on Artificial Neural Network," IEEE Xplore, January 2023, DOI: 10.1109/ELTICOM57747.2022.10037906

Renato R. Maaliw III, Alvin S. Alon, Ace C. Lagman, Manuel B. Garcia, Julie Ann B. Susa, Ryan C. Reyes, Ma. Corazon Fernando-Raguro, and Alexander Hernandez, "A Multistage Transfer Learning Approach for Acute Lymphoblastic Leukemia Classification," IEEE Xplore, December 2022, DOI: 10.1109/UEMCON54665.2022.9965679

Bernard H. Ugalde, Renato R. Maaliw III, Suresh Palarimath, Mohammed Al Mahri, Albert Vinluan, and Jennifer Carpio, "Barrier-Free Routes in a Geographic Information System for Mobility Impaired People," IEEE Xplore, December 2022, DOI: 10.1109/UEMCON54665.2022.9965734

Efren D. Villaverde, Renato R. Maaliw III, Aubee T. Mahusay, Maurino N. Abuel, Meller P. Gonzales, Alvin S. Alon, Ace C. Lagman, and Rhowel M. Dellosa, "A Low-Cost Highly Responsive Capacitive Control Switch for Lighting and Motor Control System," IEEE Xplore, December 2022, DOI: 10.1109/UEMCON54665.2022.9965676

Renato R. Maaliw III, Alvin S. Alon, Ace C. Lagman, Manuel B. Garcia, Marmelo V. Abante, Rodrigo C. Belleza Jr., Jose B. Tan Jr., and Roselyn A. Maaño, "Cataract Detection and Grading Using Ensemble Neural Networks and Transfer Learning," IEEE Xplore, November 2022, DOI: 10.1109/IEMCON56893.2022.9946550

Julie Ann B. Susa, Renato R. Maaliw III, Carla May C. Ceribo, Jonel Macalisang, and Bernard C. Fabro, "An Efficient Safety and Authorized Helmet Detection using Deep Learning," IEEE Xplore, November 2022, DOI: 10.1109/SIST54437.2022.9945729

Julie Ann B. Susa, Wendy C. Nombrefia, Alfredo S. Abustan Jr., Renato R. Maaliw III, and Jonel Macalisang, "Deep Learning Technique Detection for Cotton and Leaf Classification," IEEE Xplore, November 2022, DOI: 10.1109/SIST54437.2022.9945757

Ryan C. Reyes, Rovenson V. Sevilla, Godofredo S. Zapanta, Jovencio V. Merin, Renato R. Maaliw III, and Al Ferrer Santiago, "Safety Gear Compliance Detection Using Data Augmentation-Assisted Transfer Learning in Construction Work Environment," IEEE Xplore, July 2022, DOI: 10.1109/CONECCT55679.2022.9865757

Ryan C. Reyes, Myriam J. Polinar, Richardson M. Dasalla, Godofredo S. Zapanta, Mark P. Melegrito, and Renato R. Maaliw III, "Computer Vision-Based Signature Forgery Detection System Using Deep Learning: A Supervised Learning Approach," IEEE Xplore, July 2022, DOI: 10.1109/CONECCT55679.2022.9865776

Renato R. Maaliw III, Julie Ann B. Susa, Alvin S. Alon, Ace C. Lagman, Shaneth C. Ambat, Manuel B. Garcia, Keno C. Piad, and Ma. Corazon Fernando-Raguro "A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification," IEEE Xplore, June 2022, DOI: 10.1109/AIIoT54504.2022.9817290

Renato R. Maaliw III , Karen Anne C. Quing, Julie Ann B. Susa, Jed Frank S. Marqueses, Ace C. Lagman, Rossana T. Adao, Ma. Corazon Fernando-Raguro, and Ranie B. Canlas, "Clustering and Classification Models For Student's Grit Detection in E-Learning," IEEE Xplore, June 2022, DOI: 10.1109/AIIoT54504.2022.9817177

Laily Mariz A. Bengua, Vanessa Jane D. De Guzman, Danica Mae S. Macunat, Efren D. Villaverde, Aubee T. Mahusay, Renato R. Maaliw III, and Ace C. Lagman, "Salted Egg Cleaning and Grading System Using Machine Vision," IEEE Xplore, 2022, DOI: 10.1109/AIIoT54504.2022.9817366

Earl Jayson B. Alvaran, Lourwel P. Alfonso, Renato R. Maaliw III , Rossana T. Adao, Ace C. Lagman, Irish C. Juanatas, and Ma. Corazon Fernando-Raguro, "Web-Based Performance Evaluation System Platform Using Rule-Based Algorithm," IEEE Xplore, May 2022, DOI: 10.1109/ICIET55102.2022.9778996

Mary Ann F. Quioc, Shaneth C. Ambat, Ace C. Lagman, Ronel F. Ramos, and Renato R. Maaliw III, "Analysis of Exponential Smoothing Forecasting Model of Medical Cases for Resource Allocation Recommender System," IEEE Xplore, May 2022, DOI: 10.1109/ICIET55102.2022.9778987

Renato R. Maaliw III, Karen Anne C. Quing, Ace C. Lagman, Bernard H. Ugalde, Melvin A. Ballera, and Michael Angelo D. Ligayo, "Employability Prediction of Engineering Graduates Using Ensemble Classification Modeling," IEEE Xplore, March 2022, DOI: 10.1109/CCWC54503.2022.9720783

Renato R. Maaliw III, "A Personalized Virtual Learning Environment Using Multiple Modeling Techniques," IEEE Xplore, January 2022, DOI: 10.1109/UEMCON53757.2021.9666645

Maurine C. Panergo, Febus Reidj G. Cruz, and Renato R. Maaliw III, "A Circuit Design of a Sensor Amplifier for Improving Blood Pressure Measurement in Telehealth System," IEEE Xplore, December 2021, DOI: 10.1109/IEMCON53756.2021.9623070

Renato R. Maaliw III, Melvin A. Ballera, Zoren P. Mabunga, Aubee T. Mahusay, Dhenalyn A. Dejelo, and Mariebeth P. Seño, "An Ensemble Machine Learning Approach For Time Series Forecasting of COVID-19 Cases," IEEE Xplore, December 2021, DOI: 10.1109/IEMCON53756.2021.9623074

Renato R. Maaliw III, Zoren P. Mabunga, and Frederick T. Villa, "Time-Series Forecasting of COVID-19 Cases Using Stacked Long Short-Term Memory Networks," IEEE Xplore, November 2021, DOI: 10.1109/3ICT53449.2021.9581688

Zoren P. Mabunga, Jennifer C. dela Cruz, Angelica S. Samortin, and Renato R. Maaliw III, "Utilization of Different Wireless Technologies’ RSSI for Indoor Environment Classification Using Support Vector Machine," IEEE Xplore, August 2021, DOI: 10.1109/ICSGRC53186.2021.9515242

Renato R. Maaliw III, "Early Prediction of Electronics Engineering Licensure Examination Performance using Random Forest," IEEE Xplore, June 2021, DOI: 10.1109/AIIoT52608.2021.9454213

Renato R. Maaliw III, "Classification of Learning Styles in Virtual Learning Environment Using J48 Decision Tree," IADIS Press, October 2017, DOI: 10.23343/CELDA4533.2017.79490

Renato R. Maaliw III, Melvin A. Ballera, Shaneth C. Ambat and Menchita F. Dumlao, "Comparative Analysis of Data Mining Techniques for Classification of Student’s Learning Styles," Proceedings of the 5th International Conference on Advances in Science, Engineering and Technology (ICASET), September 2017, DOI: 10.17758/URUAE.AE0917103