Extraction and Spatiotemporal Analysis of Rubber Plantations on Hainan Island, China (1990–2023) Using Phenological and Multivariate Remote Sensing Features by Donghua Wang, Huichun Ye, Yanan You, Chaojia Nie, Jingjing Wang, Jingjuan Liao, Bingsun Wu, Lixia Shen, Dailiang Peng

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Morphology and Molecular Phylogeny of Four Anaerobic Ciliates (Protista, Ciliophora, Armophorea), with Report of a New Species and a Unique Arrangement Pattern of Dikinetids in Fam... by Song Li, Wenbao Zhuang, Xiaochen Feng, Alan Warren, Jun Gong

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Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

“…This study aims to investigate and propose a machine learning approach that can accurately detect alcohol consumption by analyzing the thermal patterns of facial features. Thermal images from the Tufts Face Database and self-collected images were utilized to train the models in identifying temperature variations in specific facial regions. …”
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ADAPTIVE VISION AI by V. Vodyanitskyi, V. Yuskovych-Zhukovska

“…Computer vision technologies rely on pattern recognition, machine learning, and neural networks to allow computers to break down images, interpret data, and identify features. …”
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A Grey Wolf Optimisation-Based Framework for Emotion Recognition on Electroencephalogram Data by Ram Avtar Jaswal, Sunil Dhingra

“…Human emotions trigger reflective transformations within the brain, leading to unique patterns of neural activity and behaviour. This study connects the power of electroencephalogram (EEG) data to investigate the intricate impacts of emotions, considering their reflective significance in our daily lives, in depth. …”
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The <i>g</i>-Strained EPR Line Shape of Transition-Ion Complexes and Metalloproteins: Four Decades of Misunderstanding and Its Consequences by Wilfred R. Hagen

“…Forty years ago, the theoretically and experimentally well-founded statistical theory of <i>g</i>-strain was developed as a prime model for EPR powder patterns. …”
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Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

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Features of daily dynamics of blood pressure in patients with high and very high cardiovascular risk by SCORE scale and concomitant phenomenon of heart rate turbulence by А. І. Vytryhovsky

“…The presence of the phenomenon of heart rate turbulence in patients with existing cardiovascular disease does not lead to the emergence of some features or changing patterns in daily blood pressure…”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…Abstract This study aims to develop an efficient model to predict the arrears behavior of electricity users by integrating multi-scale feature learning with a backpropagation (BP) neural network. …”
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End-to-end handwritten Ge’ez multiple numerals recognition using deep learning by Ruchika Malhotra, Maru Tesfaye Addis

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Developing an explainable deep learning module based on the LSTM framework for flood prediction by Zhi Zhang, Dagang Wang, Yiwen Mei, Jinxin Zhu, Xusha Xiao

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Development of biometric systems for passenger identification based on noise-resistant coding means by A. A. Gladkikh, A. K. Volkov, T. G. Ulasyuk

“…On the basis of the International Civil Aviation Organization (ICAO) recommendations, the procedure features of pattern recognition are presented. The versions to adopt the biometric passenger authentication procedures are under consideration. …”
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DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms by Hui Huang, Fenglin Zhou, Jianhua Jia, Huachun Zhang

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Development of a deep learning system for predicting biochemical recurrence in prostate cancer by Lu Cao, Ruimin He, Ao Zhang, Lingmei Li, Wenfeng Cao, Ning Liu, Peisen Zhang

“…Finally, patient-level artificial intelligence models were developed by integrating deep learning -generated pathology features with several machine learning algorithms. …”
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Dynamics of ecosystem service values in the Tarim River Basin by Mengxin Sun, Mengxin Sun, Xin Shen, Xin Shen, Hailiang Xu, Hailiang Xu, Ai Shajiang·Aili, Ai Shajiang·Aili

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Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…This study aims to analyze the development of global stock exchanges by integrating clustering, classification, and Shapley Values to identify growth patterns and understand the differences in market characteristics and dynamics. …”
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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

“…This research aimed at applying machine learning models to improve reliability in the development of social science courses. Lasso was considered a regression technique that selected relevant features for prediction but eliminated redundant features. …”
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Development of the Regional Carbon Cycle Model in the Central Pacific Sector of the Southern Ocean by Takamitsu Ito

“…This model represents an intermittent double peak pattern of pCO2; one driven by the summertime high temperature and another from the wintertime high of dissolved inorganic carbon. …”
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Development of a Wideband and High Gain ESIW H-plane Horn Antenna by Seyd Hossein Haghirosadat, Mohammad Neshati

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Research on the Cultural Landscape Features and Regional Variations of Traditional Villages and Dwellings in Multicultural Blending Areas: A Case Study of the Jiangxi-Anhui Junctio... by Yapeng Duan, Mingxia Chen, Yue Liu, Yuan Wang, Li Zhang

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