AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2025
Banafa, A.
Artificial intelligence in action: Real-world applications and innovations Book
River Publishers, 2025, ISBN: 978-877004619-0 (ISBN); 978-877004620-6 (ISBN).
Abstract | Links | BibTeX | Tags: 5G, Affective Computing, AGI, AI, AI alignments, AI Ethics, AI hallucinations, AI hype, AI models, Alexa, ANI, ASI, Augmented Reality, Autoencoders, Autonomic computing, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, Casual AI, Causal reasoning, ChatGPT, Cloud computing, Collective AI, Compression engines, Computer vision, Conditional Automation, Convolutional neural networks (CNNs), Cryptocurrency, Cybersecurity, Deceptive AI, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Drones, Elon Musk, Entanglement, Environment and sustainability, Ethereum, Explainable AI, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, Future of AI, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, Green AI, High Automation, Hybrid Blockchain, IEEE, Industrial Internet of Things (IIoT), Internet of things (IoT), Jarvis, Java, JavaScript, Long Short-Term Memory Networks, LTE, machine learning, Microsoft, MultiModal AI, Narrow AI, Natural disasters, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, Nuclear, Nuclear AI, NYTimes, Objective-driven AI, Open Source, Partial Automation, PayPal, Perfect AI, Private Blockchain, Private Cloud Computing, Programming languages, Python, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum internet, Quantum Machine Learning (QML), R2D2, Reactive machines. limited memory, Recurrent Neural Networks, Responsible AI, Robots, Sci-Fi movies, Self-Aware, Semiconductorâ??s, Sensate AI, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Sovereign AI, Super AI, Superposition, TensorFlow, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice user interface (VUI), Wearable computing devices (WCD), Wearable Technology, Wi-Fi, XAI, Zero-Trust Model
@book{banafa_artificial_2025,
title = {Artificial intelligence in action: Real-world applications and innovations},
author = {A. Banafa},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000403587&partnerID=40&md5=4b0d94be48194a942b22bef63f36d3bf},
isbn = {978-877004619-0 (ISBN); 978-877004620-6 (ISBN)},
year = {2025},
date = {2025-01-01},
publisher = {River Publishers},
series = {Artificial Intelligence in Action: Real-World Applications and Innovations},
abstract = {This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning. The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change. The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force. As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks. This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution. © 2025 River Publishers. All rights reserved.},
keywords = {5G, Affective Computing, AGI, AI, AI alignments, AI Ethics, AI hallucinations, AI hype, AI models, Alexa, ANI, ASI, Augmented Reality, Autoencoders, Autonomic computing, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, Casual AI, Causal reasoning, ChatGPT, Cloud computing, Collective AI, Compression engines, Computer vision, Conditional Automation, Convolutional neural networks (CNNs), Cryptocurrency, Cybersecurity, Deceptive AI, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Drones, Elon Musk, Entanglement, Environment and sustainability, Ethereum, Explainable AI, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, Future of AI, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, Green AI, High Automation, Hybrid Blockchain, IEEE, Industrial Internet of Things (IIoT), Internet of things (IoT), Jarvis, Java, JavaScript, Long Short-Term Memory Networks, LTE, machine learning, Microsoft, MultiModal AI, Narrow AI, Natural disasters, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, Nuclear, Nuclear AI, NYTimes, Objective-driven AI, Open Source, Partial Automation, PayPal, Perfect AI, Private Blockchain, Private Cloud Computing, Programming languages, Python, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum internet, Quantum Machine Learning (QML), R2D2, Reactive machines. limited memory, Recurrent Neural Networks, Responsible AI, Robots, Sci-Fi movies, Self-Aware, Semiconductorâ??s, Sensate AI, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Sovereign AI, Super AI, Superposition, TensorFlow, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice user interface (VUI), Wearable computing devices (WCD), Wearable Technology, Wi-Fi, XAI, Zero-Trust Model},
pubstate = {published},
tppubtype = {book}
}
This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning. The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change. The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force. As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks. This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution. © 2025 River Publishers. All rights reserved.
Hsiao, P. -H.; Chen, M. -Y.; Liao, H. -C.; Lo, C. -C.; Wu, H. -T.
Development of an Explainable AI-Based Disaster Casualty Triage System Journal Article
In: Computer Science and Information Systems, vol. 22, no. 3, pp. 1105–1119, 2025, ISSN: 24061018 (ISSN); 18200214 (ISSN), (Publisher: ComSIS Consortium).
Abstract | Links | BibTeX | Tags: Disaster Casualty Triage System, Explainable AI, Generative AI, Virtual Reality
@article{hsiao_development_2025,
title = {Development of an Explainable AI-Based Disaster Casualty Triage System},
author = {P. -H. Hsiao and M. -Y. Chen and H. -C. Liao and C. -C. Lo and H. -T. Wu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009826405&doi=10.2298%2FCSIS241103035H&partnerID=40&md5=f9a3cb818a8b39c19fd95833d6392b61},
doi = {10.2298/CSIS241103035H},
issn = {24061018 (ISSN); 18200214 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Computer Science and Information Systems},
volume = {22},
number = {3},
pages = {1105–1119},
abstract = {Disaster response and management are critical components of rescue team training in countries worldwide. In addition to conducting various disaster drills, rescue teams are trained to perform casualty triage in simulated scenarios, allowing medical personnel to provide optimal treatment based on triage classifications. Due to the necessity of adapting disaster scenarios to enable responders to handle diverse disaster sites, each scenario must be interactive, helping rescuers understand how to perform triage effectively during disaster response. To enrich the variety of scenarios, AI can now be utilized for scenario design. However, for more rational script creation, generative AI must be grounded in Explainable AI (XAI) to make the generation process transparent, thus enhancing the scenario’s realism. This paper proposes an XAI-based disaster casualty triage scenario system. The system generates scenarios through generative AI, utilizing XAI to ensure data transparency. The primary output is a simulation training game focused on disaster scenarios, developed on the Unity platform to build realistic accident scenes. The goal is to provide frontline firefighters with immersive training to strengthen their on-site response and emergency handling skills. The game incorporates a triage mechanism that guides users to categorize injuries based on symptoms and apply appropriate medical actions, aiming to minimize casualties during disasters. From an educational perspective, this game provides the general public with an understanding of how firefighters perform triage based on injury symptoms in emergencies, ensuring that each casualty receives necessary medical support within the golden rescue window. Through simulation and decision-making training in the game, users enhance their judgment and responsiveness, further improving their rapid reaction and handling skills in disaster scenarios. © 2025 Elsevier B.V., All rights reserved.},
note = {Publisher: ComSIS Consortium},
keywords = {Disaster Casualty Triage System, Explainable AI, Generative AI, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Disaster response and management are critical components of rescue team training in countries worldwide. In addition to conducting various disaster drills, rescue teams are trained to perform casualty triage in simulated scenarios, allowing medical personnel to provide optimal treatment based on triage classifications. Due to the necessity of adapting disaster scenarios to enable responders to handle diverse disaster sites, each scenario must be interactive, helping rescuers understand how to perform triage effectively during disaster response. To enrich the variety of scenarios, AI can now be utilized for scenario design. However, for more rational script creation, generative AI must be grounded in Explainable AI (XAI) to make the generation process transparent, thus enhancing the scenario’s realism. This paper proposes an XAI-based disaster casualty triage scenario system. The system generates scenarios through generative AI, utilizing XAI to ensure data transparency. The primary output is a simulation training game focused on disaster scenarios, developed on the Unity platform to build realistic accident scenes. The goal is to provide frontline firefighters with immersive training to strengthen their on-site response and emergency handling skills. The game incorporates a triage mechanism that guides users to categorize injuries based on symptoms and apply appropriate medical actions, aiming to minimize casualties during disasters. From an educational perspective, this game provides the general public with an understanding of how firefighters perform triage based on injury symptoms in emergencies, ensuring that each casualty receives necessary medical support within the golden rescue window. Through simulation and decision-making training in the game, users enhance their judgment and responsiveness, further improving their rapid reaction and handling skills in disaster scenarios. © 2025 Elsevier B.V., All rights reserved.