AI-based prediction of traffic crash severity for improving road safety and transportation efficiency by Ayman Mohamed Mostafa, Bader Aldughayfiq, Mayada Tarek, Alaa S. Alaerjan, Hisham Allahem, Murtada K. Elbashir, Mohamed Ezz, Eslam Hamouda

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Large-scale moral machine experiment on large language models. by Muhammad Shahrul Zaim Bin Ahmad, Kazuhiro Takemoto

“…These findings suggest that while increasing model size may naturally lead to more human-like moral judgments, practical implementation in autonomous driving systems requires careful consideration of the trade-off between judgment quality and computational efficiency. Our comprehensive analysis provides crucial insights for the ethical design of autonomous systems and highlights the importance of considering cultural contexts in AI moral decision-making.…”
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Advanced analytics to improve energy efficiency of steel industry - A systematic review on ladle logistics by Akhil Raja Keshetti, Victor S.P. Ruela, Hao Chen, Marcos R. Machado

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Does metaverse improve recommendations quality and customer trust? A user-centric evaluation framework based on the cognitive-affective-behavioural theory by Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Osama Halabi, Raian Ali

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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm by El-Sayed M. El-Kenawy, Nima Khodadadi, Marwa M. Eid, Ehsaneh Khodadadi, Ehsan Khodadadi, Doaa Sami Khafaga, Amel Ali Alhussan, Abdelhameed Ibrahim, Mohamed Saber

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Exploring the impacts of woodland management on ecosystem services – a deliberative method by Antonia Eastwood, Altea Lorenzo-Arribas, Anke Fischer, Laura MacLean, Alice Hague, Alba Juarez-Bourke, Scott Herrett, Anja Byg, Keith Marshall, Robin Pakeman, Gillian Donaldson-Selby, Alison Hester

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Medication safety analysis of elderly inpatients based on improved functional resonance analysis method (FRAM): a mixed methods study by Jing Yang, Xuwen Yin, Yue Xu, Zejuan Gu, Tingru Li, Yanhong Yan, Qiaoling Jiang, Ting Lu, Yangyang Fu, Yan Yu, Zhongyan Hou

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Optimizing AI-Driven EdTech Solutions for Enhanced English Learning: A TOPSIS Approach by Liu Yang, Lu Li, Li Wang

“…The purpose of this study is to assess the impact of AI and EdTec on education. In this article, we defined the multi-criteria decision-making (MCDM) procedure to manage ambiguity and awkward information by integrating the Technique for Order of Preference by Similarity to the Ideal Solution (Topsis) method with Circular q-Rung orthopair fuzzy set (Cq-ROFS), and Bonferroni mean (BM) operators to evaluate and prioritize AI-driven EdTech tools. …”
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RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization by Sasipriya Arun, Edward R. Sykes, Syed Tanbeer

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Exploring mental health literacy and its associated factors among health care providers: a National Cross-Sectional Study in Saudi Arabia by Naif Z. Alrashdi, Naif Z. Alrashdi, Riyaz Ahamed Shaik, Riyaz Ahamed Shaik, Mohammad Shakil Ahmad, Mohammad Shakil Ahmad, Bader A. Alrasheadi, Bader A. Alrasheadi, Tariq H. Alotaibi, Tariq H. Alotaibi, Ibrahim Z. Alrashedy, Sarah Bajuaifer, Sadiya Ahmad, Khlooud Awad Alrashidi, Nora A. Althumiri, Nora A. Althumiri, Nasser F. BinDhim, Nasser F. BinDhim

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Analisis Metode AHP dan Promethee pada Sistem Pendukung Keputusan Penilaian Kompetensi Soft Skills Karyawan by Yuminah yuminah, Rusydi Umar, Abdul Fadlil

“…There are several methods that can be used for decision making with various criteria including AHP and Promethee. …”
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A Summary of Recent Advances in the Literature on Machine Learning Techniques for Remote Sensing of Groundwater Dependent Ecosystems (GDEs) from Space by Chantel Nthabiseng Chiloane, Timothy Dube, Mbulisi Sibanda, Tatenda Dalu, Cletah Shoko

“…To address these challenges, various methods have been developed to assess, monitor, and understand GDEs, aiding sustainable decision-making and conservation policy implementation. …”
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Diagnostic efficacy of large language models in the pediatric emergency department: a pilot study by Francesco Del Monte, Roberta Barolo, Maria Circhetta, Angelo Giovanni Delmonaco, Emanuele Castagno, Emanuele Pivetta, Letizia Bergamasco, Letizia Bergamasco, Matteo Franco, Gabriella Olmo, Claudia Bondone

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Autonomous Driving Road Environment Recognition with Multiscale Object Detection by Jeny J.R.V., Divya Phulari, Varsha Kolanu, Mrunalini Anantha, Irfan S.K.M.

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A comparative analysis of the role of containment policies, vaccination strategies and virus variants in the COVID-19 pandemic across nine European countries by Simone Rancati, Giovanna Nicora, Enea Parimbelli, Marco Salemi, Riccardo Bellazzi, Daniele Pala

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Prediction and prevention of crowd-crush accidents using crowd-density simulation based on unity engine by Chul-Ho Choi, Sung-Wook Park, Jun Park, Jong-Hoon Kim, Jin-Seong Kim, Hyun-Sung Yang, Bok-Eun Lee, Se-Hoon Jung, Chun-Bo Sim

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Blockchain-Based Smart Monitoring Framework for Defense Industry by Abdullah Alqahtani, Shtwai Alsubai, Abed Alanazi, Munish Bhatia

“…Internet of Things (IoT) technology has been widely adopted across various industries for remote decision-making, monitoring, and surveillance. The proliferation of IoT applications in sensitive sectors, such as national defense and security, has been driven by the ability to obtain in-depth information on ubiquitous occurrences. …”
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An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture by MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan

“…In Bangladesh, optimizing crop recommendations using real-time soil and environmental data is crucial for improving agricultural decision-making. However, integrating AI models with IoT devices for instantaneous crop prediction remains a challenge due to computational constraints and the need for model interpretability. …”
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Expert system for safe application of pesticides to control insect pests in orchard by WU Jia-lun, GAO Song, LI Li-qing

“…Accord to the dialogue of user-computer, user can obtain some solutions for their problems, such as identifying of insect pests, decision making for using pesticide to control insect pest, forecasting the development of insect pests on orchard and so on. …”
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns by Danial Hooshyar, Yeongwook Yang

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