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Technological Advancements and Artificial Intelligence Innovations book cover

1st Edition

Technological Advancements and Artificial Intelligence Innovations

Edited By Daniel Asante Otchere Copyright 2027
286 Pages 14 Color & 84 B/W Illustrations
by CRC Press

This volume is a research work that explores the latest developments and applications of technology and AI in various domains. It provides a comprehensive and up-to-date overview of the current state and prospects of technological and AI innovations in fields such as health, physics, mineral engineering, petroleum and energy. It comprises 12 chapters, each written by an expert in the respective... Read more

Preface 

1. Introduction

2. A Review of the Prospect of Utilizing AI Techniques in Digital Outcrop Model Geological Mapping 

3. Agentic Workflows and Multi‑Agent Systems: Platforms and Protocols in 2025 

4. Artificial-Neural-Network-Based Correlation for Predicting Oil Formation Volume Factor Using White-Box Technique  

5. CitricNet: Citrus Quality Grading Using Computer Vision  

6. Comparative Analysis of Machine Learning Techniques for Estimating CO2 Absorption in Ionic Liquids and the Implications on CO2 Capture

7. Explainable Deep Learning and Multi-Scale Temporal Analysis for COVID-19 Outbreak Prediction in Nigeria

8. An Automated Kick Detection System Based on Optimized Data Analytics

9. Nanopore Sensing for Single-Entity Analysis: Challenges, Enhancements, and Future with AI and Computational Methods  

10. Identification and Evaluation of Shallow Water Flow-Prone Facies Using Advanced Seismic Interpretation and Machine Learning: A Case Study from the Malay Basin, Malaysia

Index

Biography

Dr. Daniel Asante Otchere is a research computing software engineer specializing in artificial intelligence and machine learning at the Institute for Computational and Data Sciences (ICDS) at Penn State University, USA. He also works as a Data Scientist with the Penn State Clinical and Translational Science Institute (CTSI), where his work focuses on breaking boundaries in artificial intelligence innovations within health informatics. He holds a Ph.D. in petroleum engineering from Universiti Teknologi PETRONAS (UTP) in Malaysia, a master’s degree in petroleum geoscience from the University of Manchester in the UK, and a bachelor’s degree in geological engineering from the University of Mines and Technology in Ghana. Professionally, Dr. Otchere has extensive experience in the mining and oil and gas industries, contributing to multiple onshore and offshore projects that have significantly advanced petroleum operations across Africa and Southeast Asia. He currently serves as an editor for Petroleum Geoscience Journal and maintains his long-standing involvement with the World Geothermal Congress—having served as a technical committee member since 2021. Beyond his professional and editorial roles, Dr. Otchere teaches artificial intelligence through his YouTube channel, Study with Dani, where he shares insights on machine learning and computational science. His expertise driven numerous collaborative research efforts, resulting in publications in leading journals and conferences, as well as a patent application. He was recognized for excellence in teaching and research at UTP, earning the Best Postgraduate Student Award in 2021 and the Graduate Assistant Merit Award in 2021 and 2022.

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