Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model by Lianchen Liu, Peiqing Wang, Libin Su, Feng Li

“…The quality of the generated samples was validated using a Support Vector Machine (SVM) classifier. Further sensitivity analysis and susceptibility modeling were conducted using both the original and augmented datasets. …”
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Automated Cough Analysis with Convolutional Recurrent Neural Network by Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang

“…In this study, we developed a machine learning model for the detection and classification of cough sounds. …”
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Feasibility Assessment of an Optically Powered Digital Retinal Prosthesis Architecture for Retinal Ganglion Cell Stimulation by William Lemaire, Maher Benhouria, Konin Koua, Wei Tong, Gabriel Martin-Hardy, Melanie Stamp, Kumaravelu Ganesan, Louis-Philippe Gauthier, Marwan Besrour, Arman Ahnood, David John Garrett, Sebastien Roy, Michael R. Ibbotson, Steven Prawer, Rejean Fontaine

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A 36-year geospatial analysis of urbanization dynamics and surface urban heat island effect: Case study of the Bangkok Metropolitan Region by Nattapong Puttanapong, Nithima Nuengjumnong, JoJinda SaeJung, Sitthisak Moukomla

“…(3) How effectively can machine learning models classify LULC changes and provide insights to support sustainable urban planning? …”
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Neural network analysis of mortality risk predictors in patients after acute coronary syndrome by D. A. Shvets, A. Yu. Karasev, M. V. Smolyakov, S. V. Povetkin, V. I. Vishnevsky

“…To predict mortality risk, the machine learning method and neural network analysis was used. …”
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Integrative radiomics analyses identify universal signature for predicting prognosis and therapeutic vulnerabilities across primary and secondary liver cancers: A multi-cohort stud... by Hongjie Xin, Qianwei Lai, Yanping Liu, Naying Liao, Ying Wang, Bihong Liao, Keyang Zhou, Yuchen Zhou, Yang Bai, Zhihua Chen, Yuanping Zhou

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Enterotype-stratified gut microbial signatures in MASLD and cirrhosis based on integrated microbiome data by Heng Yuan, Heng Yuan, Junyu Zhou, Junyu Zhou, Xuangao Wu, Shiwei Wang, Sunmin Park, Sunmin Park

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Petrographic image classification of complex carbonate rocks from the Brazilian pre-salt using convolutional neural networks by Mateus Basso, João Paulo da Ponte Souza, Guilherme Furlan Chinelatto, Luis Augusto Antoniossi Mansini, Alexandre Campane Vidal

“…Abstract Machine learning (ML) algorithms have been widely applied across geosciences for tasks such as data conditioning, resolution enhancement, and image classification. …”
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DIAGNOSING FAULTS IN THE TIMING SYSTEM OF A PASSENGER CAR SPARK IGNITION ENGINE USING THE BAYES CLASSIFIER AND ENTROPY OF VIBRATION SIGNALS by Piotr CZECH

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Direct scribing of metal microgratings using sawtoothed cemented carbide tools with Johnson-Cook model-based plastic deformation simulation by Minwook Kim, Dae Bo Sim, Yong Tae Kim, Bo Hyun Kim, Jong G. Ok

“…We demonstrate the DISCRIM (DIrect SCRIbing of Metals) process for the continuous and scalable precision machining of metal micrograting structures, which utilizes direct mechanical scribing of a sawtooth–patterned cemented carbide tool edge over a metal workpiece. …”
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Les politiques du tracteur chez les Wichís du Chaco argentin by Alberto Preci, Marco Flamini

“…Machines and their uses are rarely the focus of research on indigenous worlds. …”
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A structured-illumination reflectance imaging dataset for woody breast assessment of broiler meatZenodo by Yuzhen Lu, Hamed Sardari

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Preliminary analysis of acoustic detection of the Red-throated Caracara in northern Costa Rica by Roberto Vargas-Masís, Diego Quesada

“…Advances in automatic acoustic detection have transformed bird ecology, allowing researchers to analyze bird populations using pattern matching algorithms, machine learning, and random forest models. …”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…SHapley Additive exPlanations (SHAP) were used to explain the output of the optimal machine learning model. Results This study identified the four subgroups of competency patterns, including novice (25.3%), public health experts (15.1%), potential expansion talents (24.7%), and versatile talents (34.9%). …”
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Evaluating textural descriptors for automated image classification of stony reefs in turbid temperate waters by Saulė Medelytė, Yuri Rzhanov, Andrius Šiaulys, Kim Lowell

“…The rise of machine learning (ML) techniques has made automatic image classification increasingly relevant and essential for marine biologists. …”
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Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

“…Feature extraction techniques are explored to support pattern recognition and motion classification. Machine learning approaches are examined for their roles in pattern recognition-based and hybrid control architectures. …”
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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

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INTEGRATING ARTIFICIAL NEURAL NETWORKS FOR DEVELOPING TELEMEDICINE SOLUTION by Mihaela GHEORGHE

“…These can be used for assisting physicians or other clinical staff in the process of taking decisions under uncertainty. Thus, machine learning methods which are specific to this technology are offering an approach for prediction based on pattern classification. …”
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Illumination Invariant Face Recognition using SQI and Weighted LBP Histogram by Mohsen Biglari, Faezeh Mirzaei, Hossein Ebrahimpour-Komleh

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The Detection and Classification of Grape Leaf Diseases with an Improved Hybrid Model Based on Feature Engineering and AI by Fatih Atesoglu, Harun Bingol

“…The most well-known convolutional neural network (CNN) architectures, texture-based Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) methods, Neighborhood Component Analysis (NCA), feature reduction methods, and machine learning (ML) techniques are the methods used in this article. …”
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