Multiclass Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Grid Search-Optimized Machine Learning by Andrew Adewunmi Adekunle, Issouf Fofana, Patrick Picher, Esperanza Mariela Rodriguez-Celis, Oscar Henry Arroyo-Fernandez, Hugo Simard, Marc-André Lavoie

“…Notably, random forest and LightGBM classifiers demonstrated the most robust and superior performance across all schemes, achieving accuracy, precision, recall, and F1 scores between 0.99 and 1, along with Matthew correlation coefficient values exceeding 0.98 in all cases. This robustness suggests that ensemble models are effective at capturing complex decision boundaries and relationships among gas ratio features. …”
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Impact of pavement friction decay on speed limits and autonomous vehicles: A theoretical and experimental study by Filippo Giammaria Praticò

“…All the issues above may harm road safety and the complexity of forensic investigations of pavements.Consequently, this study's objectives were confined to (1) carrying out friction measurements and analyzing the problem of friction decay over time; (2) setting up a method to lower the speed limits where friction decays are detected; (3) setting up a method to handle friction decays for autonomous vehicles. …”
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Capsule phase microextraction methodology: Applications and future perspective by Shaikh Manirul Haque, Abuzar Kabir, Torki Zughaibi, Noorfatimah Yahaya, Bharti Jain, Rajeev Jain, Masoom Raza Siddiqui

“…Extraction plays a crucial role in the quantitative analysis of analytes across various matrices, particularly in biological and other complex samples, where accurate detection and determination would be challenging without effective extraction. …”
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WF-SwinUnet: A Window Fusion-based RFI Segmentation Model and Its Application in FAST by QingYun Li, MingHui Li, Dongjun Yu, Jie He

“…However, the traditional thresholding method cannot adapt to the complex baseline noise because it relies on manual parameter adjustment and assumes a constant threshold value, it also faces bottlenecks such as the failure to detect weak interferences and the ambiguous positioning of the boundary. …”
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ReAcc_MF: Multimodal Fusion Model with Resource-Accuracy Co-Optimization for Screening Blasting-Induced Pulmonary Nodules in Occupational Health by Junhao Jia, Qian Jia, Jianmin Zhang, Meilin Zheng, Junze Fu, Jinshan Sun, Zhongyuan Lai, Dan Gui

“…To enhance computational efficiency and interpretability, we design a soft voting ensemble classifier, eliminating the need for complex deep learning architectures. …”
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A Real-Time Approach for Assessing Rodent Engagement in a Nose-Poking Go/No-Go Behavioral Task Using ArUco Markers by Thomas Smith, Trevor Smith, Fareeha Faruk, Mihai Bendea, Shreya Kumara, Jeffrey Capadona, Ana Hernandez-Reynoso, Joseph Pancrazio

“…Behavioral neuroscience requires precise and unbiased methods for animal behavior assessment to elucidate complex brain–behavior interactions. Traditional manual scoring methods are often labor-intensive and can be prone to error, necessitating advances in automated techniques. …”
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EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

“…Feature selection is a vital preprocessing step for identifying the most informative features in complex datasets, enhancing the efficiency and accuracy of machine learning models. …”

Reconstructed hyperspectral imaging for in-situ nutrient prediction in pine needles by Yuanhang Li, Yuanhang Li, Jun Du, Jun Du, Chuangjie Zeng, Chuangjie Zeng, Yongshan Wu, Yongshan Wu, Junxian Chen, Junxian Chen, Teng Long, Teng Long, Yongbing Long, Yongbing Long, Yubin Lan, Yubin Lan, Xiaoliang Che, Tianyi Liu, Jing Zhao, Jing Zhao

“…It facilitates efficient in situ nutrient detection and offers a promising tool for sustainable forestry development.…”
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Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients by Paulo Cezar de Moraes, Maria Lúcia Scroferneker, Alessandra Koehler, Letícia Maria Eidt, Cristiane Almeida Soares Cattani, Valeriano Antonio Corbellini

“…Leprosy is an infectious disease caused by the Mycobacterium leprae complex. Although the diagnosis of this disease is clinical, additional tests are often needed. …”
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Sustainable Energy and Exergy Analysis in Offshore Wind Farms Using Machine Learning: A Systematic Review by Hamid Reza Soltani Motlagh, Seyed Behbood Issa-Zadeh, Abdul Hameed Kalifullah, Arife Tugsan Isiacik Colak, Md Redzuan Zoolfakar

“…Traditional deterministic methods often fail to capture the dynamic interactions within wind farms, thereby underscoring the need for ML-integrated approaches that enhance precision in energy forecasting, fault detection, and exergy analysis. This PRISMA-ScR review synthesizes recent advancements in ML techniques, including Random Forest, Long Short-Term Memory networks, and hybrid models, demonstrating significant improvements in predictive accuracy and operational efficiency. …”
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Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

“…Conclusions: The AI model shows potential in pneumothorax detection, but performance is influenced by data diversity, image quality, and clinical complexity. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Well-researched fields include credit rating, fraud detection, bankruptcy prediction, and volatility forecasting. …”
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Hierarchical segmentation framework with dynamic parameter optimization for accurate stem-leaf partitioning and phenotypic extraction in maize by Yingjie Zhao, Dongjie Liu, Jiangtan Yao, Zhen Wang, Xuanyu Mu, Zongwei Jia

“…However, traditional phenotyping methods relying on manual measurements or two-dimensional images have significant limitations in terms of efficiency and accuracy, particularly in effectively analyzing the complex three-dimensional structures of plants. …”
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VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…The proposed model, VIOS-Net, integrates the advantages of both visible and infrared data sources to meet the challenges of all-weather, all-day ship monitoring under complex environmental conditions. VIOS-Net employs a Shared Bottom network architecture, utilizing both shared and specific feature extraction modules at the model’s lower and upper layers, respectively, to optimize the system’s recognition capabilities and maximize data utilization efficiency. …”
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Hyper-induction of IL-6 after TLR1/2 stimulation in calves with bovine respiratory disease. by Cian Reid, John Donlon, Aude Remot, Emer Kennedy, Giovanna De Matteis, Cliona O'Farrelly, Conor McAloon, Kieran G Meade

“…It is a polymicrobial syndrome resulting from a complex interplay of viral and bacterial pathogens with environmental factors. …”
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Residual stresses in cold-formed steel sections: An overview of influences and measurement techniques by Ayad Mutafi, J.M. Irwan, Noorfaizal Yidris, Abdullah Faisal Alshalif, Yazid Saif, Hamdi Abdulrahman, Ala Mutaafi, Yasser Yahya Al-Ashmori, Mugahed Amran, Nelson Maureira-Carsalade, Siva Avudaiappan

“…The study concludes that while analytical methods are effective, they become complex when accounting for material anisotropy. Laboratory techniques provide reliable measurements but are limited in detecting through-thickness residual stresses. …”
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A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging by Pablo Vergara, Yuteng Wang, Sakthivel Srinivasan, Zhe Dong, Yu Feng, Iyo Koyanagi, Deependra Kumar, Yoan Chérasse, Toshie Naoi, Yuki Sugaya, Takeshi Sakurai, Masanobu Kano, Tristan Shuman, Denise Cai, Masashi Yanagisawa, Masanori Sakaguchi

“…CaliAli performs computationally efficient signal extraction from concatenated video sessions that enhances the detectability of weak calcium signals. …”
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Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

“…Laser directed energy deposition (LDED) is an emerging branch of metal-based additive manufacturing (AM) processes, offering unprecedented capabilities for high-performance fabrication with complex geometries and near-net shapes. This technology is gathering increasing attention from industries such as biomedical, automotive, and aerospace. …”
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Formation of myofаscial pain syndrome and its correction in patients with tension headache by A.V. Vesnin, O.L. Tovazhnianska

“…In the study, myofascial dysfunctions were most often detected in the trapezius, suboccipital and masticatory muscles. …”
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Cellulose/TiO₂ Humidity Sensor by Susana Devesa, Zohra Benzarti, Madalena Costa, Diogo Cavaleiro, Pedro Faia, Sandra Carvalho

“…Resistivity-type humidity sensors, which detect changes in electrical resistance in response to variations in environmental humidity, have garnered significant interest due to their widespread application in industry, agriculture, and daily life. …”
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