Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.MethodsWe conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes. …”
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Identification of cellular senescence-associated genes for predicting the diagnosis, prognosis and immunotherapy response in lung adenocarcinoma via a 113-combination machine learn... by Ting Ge, Guixin He, Qian Cui, Shuangcui Wang, Zekun Wang, Yingying Xie, Yuanyuan Tian, Juyue Zhou, Jianchun Yu, Jinmin Hu, Wentao Li

“…Subsequently, we developed a novel machine learning framework that incorporated 12 machine learning algorithms and their 113 combinations to construct a LUAD CS-related signature (LUAD-CSRS), which were assessed in both training and validation cohorts. …”
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MRI-based machine learning analysis of perivascular spaces and their link to sleep disturbances, dementia, and mental distress in young adults with long-time mobile phone use by Li Li, Yalan Wu, Jiaojiao Wu, Bin Li, Rui Hua, Feng Shi, Lizhou Chen, Yeke Wu

“…These findings also highlight potential connections between EPVSs, excessive daytime sleepiness, and anxiety, contributing to a comprehensive understanding of these multifaceted conditions.…”
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Digital Transformation in the Context of European Union’s Green Deal by Bertoncelj, Andrej

“…These technologies have the potential to completely take over all of production through interconnected systems, also known as Internet of Things/Cyber-physical systems, in turn eliminating the need for human monitoring/intervention in tasks through machine learning/artificial intelligence algorithms. …”
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nD-PointCloud Data Management by Haicheng Liu

“…File-based solutions require substantial development of data structures and algorithms. Also, with such solutions, enormous effort has to be made to integrate different data types, formats and libraries. …”
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Real-Time Football Match Prediction Platform by An Zhongqi

“…A user-friendly interface is also developed to facilitate easy access and analysis of this data. …”
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The Effects of Motion on Distributed Detection in Mobile Ad Hoc Sensor Networks by Xusheng Sun, Edward J. Coyle

“…These results allow rapid characterization of the time-dependence of distributed detection algorithms that are executed in mobile sensor networks.…”
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Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting by Joseline Sánchez-Solís, Marvin Coto-Jiménez

“…The efficient organization and manipulation of this data are important for tasks such as data classification, searching for information, diarization among many others, but also can be relevant for building corpora for training models for automatic speech recognition or building speech synthesis systems. …”
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Gas-dynamic Analyzer of Nitrogen-hydrogen Mixture for Industrial Application by Halyna Matiko, Yevhen Pistun

“…The authors developed the algorithms for calculation the constructive parameters of gas-dynamic analyzer of nitrogen-hydrogen mixture to provide optimal sensitivity of the throttle bridge scheme. …”
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New Metaphorical Models in Modern Sports Discourse by A. N. Gritsenko, P. V. Moroslin

“…It is noted that the study of metaphors is of great importance not only for the study of various types of discourse, but also for understanding the algorithms for mastering the picture of the world. …”
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Medical Specialty Classification Using Large Language Models (LLMs) by Surya Kathirvel, Lenin Mookiah

“… This study evaluates the performance of Large Language Model (LLM)-based classifiers, including BERT, Bio-BERT, and Distil-BERT, in comparison to traditional Machine Learning algorithms to classify the medical transcription reports into various specialties. …”
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Role of Artificial Intelligence in Diabetes Mellitus Care: A SWOT Analysis by Priya Kataria, Srivenkata Madhu, Madhu K. Upadhyay

“…Human medicine is a complex field, and it cannot be solely handled by algorithms, especially diabetes, which is a lifelong multisystem disorder. …”
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Overview of Modern Technologies for Acquiring and Analysing Acoustic Information Based on AI and IoT by Sabina Szymoniak, Łukasz Kuczyński

“…The article presents an overview of modern methods of acquiring and analysing sound data, from MEMS sensors and microphones, signal processing, and feature extraction to machine learning algorithms. The analysis of many works shows how diverse the approach to acoustic analysis can be, depending on the purpose, context, and environmental constraints. …”
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Research on the Virtual Coupling Technology for Urban Rail Transit Trains by YANG Weifeng, LEI Chengjian, HAN Chen, LI Qihe, XIE Xing

“…The paper additionally highlights the technical challenges faced in engineering applications, including the need for improved cooperative control algorithms, enhanced vehicle-to-vehicle communication mechanisms, and optimized safety braking models.…”
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The utilization of generative artificial intelligence in the professional development of teachers by Katia Cristian Puente Muniz, Caterine Fagundes Vila

“…The results highlighted the effectiveness of ChatGPT in creating adaptable educational stimuli that promote the development of critical and reflective thinking. However, they also pointed out ethical challenges such as privacy issues and algorithmic bias. …”
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Non-unitarity maximizing unraveling of open quantum dynamics by Ruben Daraban, Fabrizio Salas-Ramírez, Johannes Schachenmayer

“…NUMU lowers runtimes in practical calculations, and it also provides new insight on the question of classical simulability of quantum dynamics. …”
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Ontology Merging Using the Weak Unification of Concepts by Norman Kuusik, Jüri Vain

“…These results clearly show a good capability of the method and the tool to match semantically similar concepts. The results also highlight the challenges related to the evaluation of ontology-merging algorithms without a definite ground truth.…”
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Smart Manufacturing through Machine Learning: A Review, Perspective, and Future Directions to the Machining Industry by A. S. Rajesh, M. S. Prabhuswamy, Srinivasan Krishnasamy

“…The current paper presents a comprehensive survey and summary of different machine learning algorithms which are being employed in various traditional and nontraditional machining processes, and also, an outlook of the manufacturing paradigm is presented. …”
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Development of data-driven machine learning models and their potential role in predicting dengue outbreak by Bushra Mazhar, Nazish Mazhar Ali, Farkhanda Manzoor, Muhammad Kamran Khan, Muhammad Nasir, Muhammad Ramzan

“…This early warning system not only alerts communities but also aids relevant authorities in implementing crucial preventive measures.…”
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Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use by Tuan Pham

“…Legal challenges, including data privacy and security, liability for AI errors, regulatory approval processes, intellectual property and cross-border regulations, are also addressed. As AI systems become increasingly autonomous, questions of responsibility and fairness must be carefully considered, particularly with the potential for biased algorithms to amplify healthcare disparities. …”
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