Multilayer analysis of ethnically diverse blood and urine biomarkers for breast cancer risk and prognosis by Jia Feng, Xing Qi, Chen Chen, Baolin Li, Min Wang, Xuelong Xie, Kailan Yang, Xuan Liu, Rui min Chen, Tongtong Guo, Jinbo Liu

“…By enhancing the diagnostic power of a tailored biomarker panel through machine learning, this study contributes to the advancement of precision medicine in BC, offering strategies tailored to the unique genetic profiles and biomarker patterns across diverse populations.…”
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Clustered Rainfall-Induced Landslides in Jiangwan Town, Guangdong, China During April 2024: Characteristics and Controlling Factors by Ruizeng Wei, Yunfeng Shan, Lei Wang, Dawei Peng, Ge Qu, Jiasong Qin, Guoqing He, Luzhen Fan, Weile Li

“…Rapid acquisition of landslide inventories, distribution patterns, and key controlling factors is critical for post-disaster emergency response and reconstruction. …”
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Recent Innovations in Retinal Laser Therapy by Mi Zheng, Yannis M. Paulus

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Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

“…In order to reduce the computational burden usually associated with DL models, our method integrates machine learning classifiers in combination with keyframing approaches and texture analysis. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…Big data analytics enables the analysis of historical data, seasonal patterns and market trends for better decision making (Xiang, 2017). …”
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Electronic Nose System Based on Metal Oxide Semiconductor Sensors for the Analysis of Volatile Organic Compounds in Exhaled Breath for the Discrimination of Liver Cirrhosis Patient... by Makhtar War, Benachir Bouchikhi, Omar Zaim, Naoual Lagdali, Fatima Zohra Ajana, Nezha El Bari

“…Sensor’s measurement data were analyzed using machine learning techniques, such as principal component analysis (PCA), discriminant function analysis (DFA), and support vector machines (SVMs) that were utilized to uncover meaningful patterns and facilitate accurate classification of sensor-derived information. …”
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The hybrid feature extraction method for classification of adolescence idiopathic scoliosis using Evolving Spiking Neural Network by Nurbaity Sabri, Haza Nuzly Abdull Hamed, Zaidah Ibrahim, Kamalnizat Ibrahim, Mohd Adham Isa, Norizan Mat Diah

“…Currently, a manual approach is applied to detect the spine curve. Machine Learning (ML) models are introduced to overcome this issue and reduce human error. …”
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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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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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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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The current landscape of artificial intelligence in computational histopathology for cancer diagnosis by Aaditya Tiwari, Aruni Ghose, Maryam Hasanova, Sara Socorro Faria, Srishti Mohapatra, Sola Adeleke, Stergios Boussios

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TRANSFORMATIONAL PROCESSES IN RESOURCE-RICH COUNTRIES: FROM NATURAL RESOURCES TO INNOVATION AND TECHNOLOGY-BASED ECONOMY by Ihor Hurnyak, Anna Hrytsyshyn, Nataliya Kuzenko, Liana Moskalyk, Olga Tsapko-Piddubna, Lidiya Yemelyanova

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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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MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

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A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

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Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN by Yu Huang, Liangyuan Su

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Dysregulated neural coding in the vagus nerve during long sepsis by Joshua J. Strohl, Tomás S. Huerta, Sergio Robbiati, Patricio T. Huerta

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Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation by Oliver Watt‐Meyer, Noah D. Brenowitz, Spencer K. Clark, Brian Henn, Anna Kwa, Jeremy McGibbon, W. Andre Perkins, Lucas Harris, Christopher S. Bretherton

“…Online, we achieve stable 35‐day simulations, with metrics of skill such as the time‐mean pattern of near‐surface temperature and precipitation comparable or slightly better than a baseline simulation with conventional physical parameterizations. …”
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Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study by Yalan Hu, Zhenhai Cai, Nijiati Aierken, Yueqi Liu, Nan Shao, Yawei Shi, Mengmeng Zhang, Yangling Hu, Xiaoling Zhang, Ying Lin

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