Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

“…Subsequently, dynamic programming algorithms are employed to optimize intelligent gear decisions. …”
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AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis by Bhekisipho Twala

“…Future research should focus on large-scale clinical validation and implementation frameworks for healthcare systems.…”
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New <i>μ</i>-Synchronization Criteria for Nonlinear Drive–Response Complex Networks with Uncertain Inner Couplings and Variable Delays of Unknown Bounds by Anran Zhou, Chongming Yang, Chengbo Yi, Hongguang Fan

“…Moreover, numerical experiments and image encryption algorithms are carried out to verify our theoretical results’ effectiveness.…”
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Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions by You-Kwang Wang, Chien-Yu Chen

“…This project uses cloud storage technology and cloud software algorithms to enable data sharing and real-time feedback. …”
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Realistic synthetic dataset generation for cyber-physical systems: a performance evaluation by Yaa Acquaah, Kaushik Roy

“…The development and validation of models, algorithms, and control systems for CPS heavily relies on the availability of quality CPS datasets. …”
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COMMUNICATION STRATEGIES AND TACTICS IN CRISIS SITUATIONS by Olena Danylina

“…It concludes that a hybrid crisis-communication model—combining the ethical foundations of traditional journalism with instantaneous digital interaction — can reduce information risks and reinforce public trust throughout all phases of the crisis cycle. Further research is needed to typologise tools for countering disinformation in today’s multi-channel media ecosystem.…”
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Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models. by Al Mahmud Siam, Pankaj Bhowmik, Md Palash Uddin

“…We primarily propose this work for PCA-transformed datasets, but for the validation of our research, we also apply it to a real-world dataset. …”
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Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias by Catherine Reed, Martin Wynn, Robin Bown

“…Traditional AI centres on supervised learning algorithms to support and enable the application of data rules, predictive functionality and other AI-based features. …”
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DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma by Davide Chicco, Luca Oneto, Davide Cangelosi

“…We analyzed these datasets using several clustering techniques and measured the results with the DBCV (Density-Based Clustering Validation) index. Among these algorithms, DBSCAN (Density-Based Spatial Clustering of Applications with Noise) was the only one that produced meaningful results. …”
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Information extraction from green channel textual records on expressways using hybrid deep learning by Jiaona Chen, Jing Zhang, Weijun Tao, Yinli Jin, Heng Fan

“…This study provides a timely and necessary knowledge extraction on the Expressway Green Channel in terms of textual data, offering a systematical explanation of failure cases and valuable insights for future research.…”
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Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery by Adam Cuellar, Daniel Brignac, Abhijit Mahalanobis, Wasfy Mikhael

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A comprehensive approach to Queue Waiting Time Prediction using Tree-Based Ensembles with Data Balancing and Explainable AI by Tapodhir Karmakar Taton, Bipin Saha, Md. Johirul Islam, Shaikh Khaled Mostaque

“…It is possible to introduce a robust approach to the prediction of waiting times based on previous queuing data and artificial intelligence (AI) algorithms. This paper contributes to the field by offering a robust approach to waiting time prediction and suggests potential directions for further research. …”
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Hydrocephalus: Molecular and Neuroimaging Biomarkers in Diagnosis and Management by Andrada-Iasmina Roşu, Diana Andrei, Laura Andreea Ghenciu, Sorin Lucian Bolintineanu

“…As research progresses, merging various methodologies may result in more accurate diagnoses.…”
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Advances in Multi-Source Navigation Data Fusion Processing Methods by Xiaping Ma, Peimin Zhou, Xiaoxing He

“…In recent years, the field of multi-source navigation data fusion has witnessed substantial advancements, propelled by the rapid development of multi-sensor technologies, Artificial Intelligence (AI) algorithms and enhanced computational capabilities. …”
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Casualty Analysis of the Drivers in Traffic Accidents in Turkey: A CHAID Decision Tree Model by Zeliha Cagla Kuyumcu, Hakan Aslan, Nilufer Yurtay

“…The uniqueness of this research stems from being the first study in Turkey to investigate the severity levels of the drivers involved in automobile-related accidents. …”
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Development and calibration of roundabout safety performance functions using machine learning: a case study from Amman, Jordan by Diana Al-Nabulsi, Aya Hassouneh

“…A key innovation of this research lies in demonstrating that robust, data-driven SPF models can be pre-calibrated using high-resolution geometric and traffic inputs without the need for localized long-term crash records corresponding to the same features and region. …”
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Development of a manipulator kinematic model using Abb Robot Studio by Артем Бронніков, Марія Бендеберя

“… The subject of the research in the article is the application of control technology and algorithms, construction of the trajectory of movements and interaction with the production environment based on Abb Robot Studio. …”
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Concepts of Work: from Traditional Social-Labor Ideas to Modern Effects of Digital Transformation by Zs. Riczu, G. Melypataki, D. A. Mate

“…Thus, from the criminal sciences’ perspective, technology may be used or misused, and this is an interesting topic, and at the same time, an important research area for criminologists.Methods: the present article seeks to provide a descriptive-analytical discussion about digitalization of criminology and criminal justice in the light of modern technologies, internet and cyberspace. …”
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Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim by Ranu Agastya Nugraha, Hilman Ferdinandus Pardede, Agus Subekti

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Porous Models for Enhanced Representation of Saturated Curly Hairs: Simulation and Learning by Jong-Hyun Kim, Jung Lee

“…Additionally, we propose to extend the learning representation solver through both numerical simulation algorithms and AI-based approaches.…”
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