Competitive Tools, Techniques, and Methods

Pierre Tiako

doi:10.55432/978-1-6692-0007-9

Competitive Tools, Techniques, and Methods

Authors

Pierre Tiako (ed)

CITRD Lab, Oklahoma City, USA

DOI: https://doi.org/10.55432/978-1-6692-0007-9

Keywords:

Artificial Intelligence, Machine Learning, Generative AI, Energy, Sustainability, Power, Deep Learning, Green Research, Green Technology, Automated Systems, High-Performance Computing, Business, Information Systems

Synopsis

This book introduces a collection of selected papers from the 2024 OkIP Academia & Industry Convention conferences held Online and in Oklahoma City, Oklahoma, USA, on April 1-4 and October 1-3, 2024. The document includes articles addressing various challenges and perspectives on intelligent, sustainable, and business applications. Several papers present recent progress and contributions to sustainability and energy, while others deal with advances in machine learning and agent-based systems.

New Book Chapter Publication Model
OkIP is pleased to introduce its first Continuous Chapter Publishing (CCP) model. CCP means that each paper, after peer review, acceptance, and revision, will be published as a chapter of the book. The internal pagination of each chapter begins on page 1 rather than a continuous pagination of chapters throughout the book. In addition, each chapter has a unique Chapter Citation ID number, which replaces the page numbers in the citation. This change allows each Chapter to be published online immediately in its final form and the whole publication time becomes shorter.

ABOUT THIS BOOK

Print: ISBN 978-1-6692-0008-6
Online: ISBN 978-1-6692-0007-9

Preface

Table of Contents (coming soon)

Detailed Table of Contents (coming soon)

IN-PROGRESS BOOK TABLE OF CONTENTS

Part I: Competitive Tools, Techniques, and Applications in Healthcare and Society

>> Heart Failure Prediction using Machine learning with Metaheuristic feature selection techniques.
Omar Elgendy, Ali Bou Nassif, Bassel Soudan

>> Simulating Disease Transmission Models Via Agent Interaction Using Large Language Models
Elie Alhajjar and James Chen

>> Reducing Errors in Electronic Medical Records
Lynda Sellami, Khaled Sellami, Pierre F. Tiako

>> Prospect for Blockchain Applications & Perspectives: A Vision from French Occitanie
Emma Junior Cheukap Djampou, Bernard Kamsu-Foguem

Part II: Competitive Tools, Techniques, and Applications in Energy and Computing

>> Strategic Energy Management System for Improving the Power Quality of PV-Wind-Battery-based Standalone Microgrids
Wulfran F. Mbasso, Reagan J. J. Molu, Serge R. D. Naoussi, Harrison Ambe, Emmanuel F. Donfack, Kenfack T. Saatong

>> Scheduling for high performance computing with reinforcement learning
Scott Hutchison, Daniel Andresen, William Hsu, Benjamin Parsons, Mitchell Neilsen

>> Machine Learning-Based SOC Prediction for Lithium-ion Batteries in Electric Vehicles
Abdulrahman M. Eid, Ali B. Nassif, Chaouki Ghenai, Heba Y. Youssef, Latifa A. Alkhaja, Hajar H. Almazrouei

>> Power Quality Improvement of a Standalone Power Supply System Powered by PV, Wind, and Batteries via LSTM-based ANN Controllers
Reagan J. J. Molu, Wulfran F. Mbasso, Serge R. D. Naoussi, Patrice Wira, Harrison Ambe, Kenfack T. Saatong

>> Experimental Study of Parallel-Connected DC-DC Buck-Boost Converters FPGA Chaos Controlled
Ammar Natsheh, Thanh H. Nguyen, Preetha Sreekumar

>> Hybrid Parallelization for Accelerating Visibility-Graph Construction and Community Detection on Temporal Data
Xun Jia, Minzhang Zheng, Liwei Wang, Shuangshuang Jin

>> Sustainability: The Main Pillar of Industry 5.0
Hassane Zaoui, Samia Zaoui, Bernard Kamsu-Foguem, Dieudonne Tchuente

>> ...

Part III: Competitive Tools, Techniques, and Applications in Artificial Intelligence

>> Recent Surveys on Optimal Transport for Machine Learning
Bernard Kamsu Foguem, Pierre F. Tiako, S. L. Msouobu Gueuwou, Cheick A. K. A. Kounta

>> Using Artificial Intelligence (AI) and Machine Learning (ML) to Disrupt the Negative Impact of Disinformation on Digital Sovereignty and Social Stability Through Cognitive Security in Elections
Joseph Squillace, Justice Cappella

>> Enriching Release Notes with Reddit Feedback: Understanding How User Feedback Can Augment Maintaining Software Updates
Bhavya Singh, Suhasi M. Daftary, Mythry Rudra, Simhika P. Veed, Solomon Berhe, Marc Maynard, Foutse Khomh

>> Towards Performance in Aeronautics: The Role of Artificial Intelligence
Amina Zaoui, Bernard Kamsu-Foguem, Samuel Fosso-Wamba, Dieudonne Tchuente

>> Text Toxicity Level Detection using Deep Contextualized Embedding models
Omar Elgendy, Ali B. Nassif, Bassel Soudan

>> Exploring Vulnerabilities: An In-Depth Analysis of Security Weaknesses Leading to Dark Web Exposure and Improved Security Defenses Using Artificial Intelligence (AI) & Machine Learning (ML)
Joseph Squillace, Justice Cappella, Andrew Sepp, Joan Young

>> Towards Machine Learning Maintenance in Airport Infrastructure
Tarik Lahna

Author Index (In Progress)

Author Biography

Pierre Tiako, CITRD Lab, Oklahoma City, USA

Pierre Tiako, CITRD Lab in Oklahoma City, USA
Pierre F. Tiako is a Full Professor of Computer Science (CS), Director of the Center for IT R&D (CITRD Lab), and President of Tiako University, a small campus under establishment in downtown Oklahoma City, Oklahoma, USA. Oklahoma State University brought Dr. Tiako to the US (in 2001) as a CS Faculty before serving as founding Director of the Center for IT Research and CS Professor at Langston University (until 2016).
In the US, he participated in research and educational projects, such as MSEIP (Department of Education), DEPSCoR (DoD), DURIP (DoD), and GENI (BBN-NSF). Before coming to the US, Dr. Tiako worked in France, where he taught CS courses and did research respectively at the University of Lorraine, University Rennes, and INRIA (the French National Institute for Research in Information Technology).
In France, he participated in research and educational projects such as NATO PCIS II (US Navy and French DoD), SIMES (European Union INCO), and SCRATCHY (Texas Instruments & INRIA). Dr. Tiako received a Ph.D. in Software Engineering in 1999 from the University of Lorraine (INPL), France. His research includes Knowledge-Based Systems, Business Process Modeling, E-Commerce, Social Networks, and Distributed Software Development. Dr. Tiako has authored over 90 technical papers and is the editor of 7 books. He began supervising Undergraduate students in 1992, advising Graduate and Doctoral students since 1999, and hiring and mentoring Postdoctoral fellows since 2006.
Dr. Tiako is IEEE Senior Member and a Past Chair for the IEEE Oklahoma City Section. He chaired or served on the Program Committee of more than 100 International Conferences/Workshops since 1999, including Chair for the 1999 & 2000 ISAS Team-based Software Development Workshops in Orlando, FL, USA; Chair for the 2005 Oklahoma Information Technology Symposium; Chair for the 2011 Oklahoma Computing Conference; Technical Chair for the 2012 and 2020 IEEE Green Conference; and Chair for the 2023 OkIP Conferences in Oklahoma City, OK, USA. He also co-edited six proceedings volumes resulting from services as conferences’ Program Chair. As a volunteer Community Organizer in Neighborhood Associations, he is currently Vice-President of Canyon North and a Member of Metro Park in Oklahoma City, OK, USA. Pierre F. Tiako is the current Trustee Chairman of Grace Missionary Community Church in Oklahoma City, OK, USA.