Noise Reduction Methods in the Vehicle Industry: Using Vibroacoustic Simulation for Sustainability by Krisztián Horváth, Ambrus Zelei

“…Key tasks involve electromagnetic force analysis in the drivetrain, structural vibration simulations, and noise reduction strategy optimisation using machine learning algorithms to reduce the reliance on physical prototypes. …”
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Learning to suppress tremors: a deep reinforcement learning-enabled soft exoskeleton for Parkinson’s patients by Tamás Endrei, Tamás Endrei, Sándor Földi, Sándor Földi, Ádám Makk, György Cserey, György Cserey

“…We present a deep reinforcement learning-based encoder-actor controller for Parkinson’s tremors in various shoulder and elbow joint axes displayed in dynamic movements.ResultsOur findings suggest that such a control strategy offers a viable solution for tremor suppression in real-world scenarios.DiscussionBy overcoming the limitations of traditional control algorithms, this work takes a new step in adapting biomechanical loading into the everyday life of patients. …”
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Artificial intelligence‐enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration by Guodao Zhang, Rui Chen, Hamzeh Ghorbani, Wanqing Li, Arsen Minasyan, Yideng Huang, Sen Lin, Minmin Shao

“…The review emphasizes how advanced AI algorithms and data‐driven approaches enhance CI adaptability and functionality, enabling personalized rehabilitation strategies and improving speech enhancement. …”
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Predicting Firefighter Injury and Entrapment in Urban Firefighting Operations: An Investigation Into the Effectiveness of Modified Fire Time Stages and Machine Learning by Mohammad Mahdi Barati Jozan, Hamed Khosravi, Aynaz Lotfata, Krzysztof J. Cios, Hamed Tabesh

“…ABSTRACT Background and Aims Urban fires pose a significant threat in terms of property damage and potential loss of life. Firefighters play an important role in managing these incidents, so their safety is a top priority for fire departments and emergency responders. …”
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Machine Learning‐Assisted Pd‐Au/MXene Sensor Array for Smart Gas Identification by Yiheng Chen, Jiawang Hu, Nanlin Hu, Shikai Wu, Yuan Lu

“…In addition, the sensor array successfully distinguishes 14 odor molecules common in life by pattern recognition algorithms. Eventually, with the assistance of ML, the IISP exhibits 89.2% accuracy in detecting different food odors. …”
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Context-Aware Scheduling of Distributed DL-Reasoning Tasks in Wireless Sensor Networks by Stijn Verstichel, Bruno Volckaert, Bart Dhoedt, Piet Demeester, Filip De Turck

“…These algorithms have been evaluated on a real-life wireless sensor and mesh network test bed, namely WiLab.t. …”
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State-of-the-art review on Automatic Vertical Drilling Tools: Addressing vibrational load challenges in oil and gas operations by Jialin Tian, Ameer Dheyaa

“…Frameworks for addressing these gaps are proposed, emphasizing the need for advanced computational techniques, including simulation-driven design, smart control algorithms, and innovative material applications. Recommendations for future research highlight strategies to extend tool life, improve drilling accuracy, and minimize environmental impact. …”
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Detection of breast cancer using machine learning and explainable artificial intelligence by Tharunya Arravalli, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, D. Cenitta, Rajagopala Chadaga, K. S. Swathi

“…These cancer cells can metastasize to be life-threatening and fatal. An intricate mix of environmental factors and individual genetic composition can lead to the formation of this deadly carcinoma. …”
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Expanding Role of Endovascular Repair for Type B Aortic Dissection by Sanjiv Sharma, Arun Sharma

“…Surgery or EVR is reserved for patients with recurrent pain, life-threatening complications, or rapid aortic expansion. …”
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Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review by Beyza Demirtaş Yılmaz

“…Study design, machine learning algorithms, and audiological measurements were evaluated in the data analysis. …”
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Efficient Real-Time Object Detection and Classification Using mmWave Radar and Jetson Xavier NX by Mohamed Lamane, Abdessamad Klilou, Mohamed Tabaa

“…Recently, mmWave radars have been used in several automotive and industrial applications to provide the position and speed of detected objects using FMCW algorithms. However, this radar is not able to recognize or classify the detected objects. …”
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Integrating machine learning for the sustainable development of smart cities by Manel Mrabet, Maha Sliti

“…In this context, the use of artificial intelligence enhances the overall quality of life, which is a critical component of sustainable smart cities. …”
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Identification of metabolic biomarkers in idiopathic pulmonary arterial hypertension using targeted metabolomics and bioinformatics analysis by Chuang Yang, Yi-Hang Liu, Hai-Kuo Zheng

“…Abstract Pulmonary arterial hypertension (PAH) is a life-threatening disease with a poor prognosis, and metabolic abnormalities play a critical role in its development. …”
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Congestion forecast framework based on probabilistic power flow and machine learning for smart distribution grids by Alejandro Hernandez-Matheus, Kjersti Berg, Vinicius Gadelha, Mònica Aragüés-Peñalba, Eduard Bullich-Massagué, Samuel Galceran-Arellano

“…These congestions deteriorate the electrical equipment in the long term, reducing its life span. This work proposes a framework to predict grid asset congestions on a daily basis. …”
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Predicting High-Cost Healthcare Utilization Using Machine Learning: A Multi-Service Risk Stratification Analysis in EU-Based Private Group Health Insurance by Eslam Abdelhakim Seyam

“…The aim of our study was to derive and validate machine learning algorithms for high-cost healthcare utilization prediction based on detailed administrative data and by comparing three algorithmic methods for the best risk stratification performance. …”
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PHYSICAL METHODS OF REHABILITATION IN CANCER PATIENTS AFTER COMBINED MODALITY TREATMENT FOR BREAST CANCER by V. E. Tishakova, E. V. Filonenko, V. I. Chissov, N. A. Efimenko, A. N. Urlova

“…On the other hand, the absence of the unified treatment algorithms is challenging for clinicians. Therefore, its development with the focus on patient-specific approach is a crucial task for modern rehabilitology in breast cancer surgery.…”
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Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements by Shuangling Ma, Zijie Situ, Xiaobo Peng, Zhangyang Li, Ying Huang

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A Robust Conformal Framework for IoT-Based Predictive Maintenance by Alberto Moccardi, Claudia Conte, Rajib Chandra Ghosh, Francesco Moscato

“…At its core, this paper leverages the commercial modular aero-propulsion system simulation (CMAPSS) dataset to evaluate different artificial intelligence (AI) prognostic algorithms for remaining useful life (RUL) forecasting while supporting the estimation of a robust confidence interval (CI). …”
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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

“…Traditional machine learning algorithms perform quite well in general, with SVM giving a best accuracy of around 95% with academic data, while training and testing the model without academic data still gives a good performance of 93%. …”
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Ptosis: Clinical overview, etiology and treatment by Adam Solarz, Szymon Szabelski, Katarzyna Skibicka, Estera Graczyk, Oliwia Cwalina, Joanna Kryślak, Maciej Sokołowski, Karolina Oskroba, Jakub Filip Turcza, Małgorzata Woś

“…Additionally, it is an aesthetic defect, which consequently negatively impacts the patient's quality of life, self-esteem, and social perception. This article presents key information about ptosis, including clinical implications, etiology, and classification, as well as diagnostic algorithms and methods, and modern surgical treatment approaches. …”
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