Applications and prospects of artificial intelligence in the auxiliary diagnosis of nail diseases by HE Mengwen, MAI Sien, MA Han

“…In the case of nail psoriasis, existing AI models have mainly focused on automating severity scoring systems. …”
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External barycentric coordinates for arbitrary polygons and an approximate method for calculating them by Ivan S. Polyansky

“…The convergence rate of the obtained approximate analytical calculation of the external barycentric coordinates is estimated when establishing exponential convergence in Hilbert space and polynomial convergence in the space of continuous functions. The algorithmic features of the implementation of an approximate analytical solution with a structured representation of pseudocodes of programs for calculating external barycentric coordinates, formed mainly for the MathCad computer algebra system, are clarified. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
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A Study of the Integrated Automated Emotion Music with the Motion Gesture Synthesis via ZigBee Wireless Communication by Chih-Fang Huang, Wei-Po Nien

“…Automated music composition and algorithmic composition are based on the logic operation with music parameters being set according to the desired music style or emotion. …”
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Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis. by Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan

“…The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. …”
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Combination of Annealing Particle Filter and Belief Propagation for 3D Upper Body Tracking by Ilaria Renna, Ryad Chellali, Catherine Achard

“…3D upper body pose estimation is a topic greatly studied by the computer vision society because it is useful in a great number of applications, mainly for human robots interactions including communications with companion robots. …”
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Hidden diversity in anthropophilic sand flies of the Monticola Series (Diptera, Psychodidae) by Bruno Leite Rodrigues, Alessandra Gutierrez de Oliveira, Leonardo Estevam Honorato da Silva, Thiago Vasconcelos dos Santos, Lidiane de Nazaré Carvalho de Oliveira, Felipe Dutra Rêgo, Andrey José de Andrade, Glédson Bandeira Maia, Israel de Souza Pinto, José Dilermando Andrade Filho, Eunice Aparecida Bianchi Galati

“…Species-delimitation algorithms split our dataset into at least three putative species for each taxon. …”
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Ground Attack Strategy of Cooperative UAVs for Multitargets by Qirui Zhang, Ruixuan Wei

“…Humans have a fundamental ability, that is, to share vision among each other to fulfill common goals, which cooperative UAVs do not have. The difficulties mainly lie in the homologous mathematical description of humans and elusive experimental practice. …”
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Using A One-Class SVM To Optimize Transit Detection by Jakob Roche

“…These mainly utilize Convolutional Neural Networks (CNNs) to detect periodic dips in lightcurve data. …”
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The application of artificial intelligence in upper gastrointestinal cancers by Xiaoying Huang, Minghao Qin, Mengjie Fang, Zipei Wang, Chaoen Hu, Tongyu Zhao, Zhuyuan Qin, Haishan Zhu, Ling Wu, Guowei Yu, Francesco De Cobelli, Xuebin Xie, Diego Palumbo, Jie Tian, Di Dong

“…Upper gastrointestinal cancers, mainly comprising esophageal and gastric cancers, are among the most prevalent cancers worldwide. …”
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Modeling forest canopy structure and developing a stand health index using satellite remote sensing by Pulakesh Das, Parinaz Rahimzadeh-Bajgiran, William Livingston, Cameron D. McIntire, Aaron Bergdahl

“…-dominated sites in the state of Maine, USA. The plot-level data were used to develop regression models for LAI and LCR estimation using microwave (Sentinel-1) and optical (Sentinel-2) remote sensing data and applying the Random Forest (RF) and Support Vector Machine (SVM) machine learning algorithms. …”
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Human footprint with machine learning identifies risks of the invasive weed Conyza sumatrensis across land-use types under climate change by Hua Cheng, Kasper Johansen, Baocheng Jin, Shiqin Xu, Xuechun Zhao, Liqin Han, Matthew F. McCabe

“…E.Walker. Different algorithms yielded large variations in the predicted area of C. sumatrensis. …”
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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…Current overhead line planning primarily relies on manual labor, and existing automated algorithms have low adaptability, making it difficult to efficiently accomplish path planning tasks under various environments and objectives. …”
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On the role of diagnosis of prostate diseases at the outpatient appointment of a therapist by A. L. Kebina, A. S. Sycheva, A. L. Vertkin, G. Yu. Knorring

“…Currently existing approaches to the promotion of the foundations of a healthy lifestyle are mainly aimed only at the prevention of behavioral risk factors: tobacco smoking, unhealthy diet, insufficient physical activity and harmful use of alcohol. …”
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Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification by Miao Yu, Zhenqi Ye, Zixin Ye, Yaping Wu, Xiang Wu

“…Results Eighty-three DE-NRGs were identified and mainly correlated with multiple periodontitis-related pathways. …”
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Comparative Study and Real-World Validation of Vertical Load Estimation Techniques for Intelligent Tire Systems by Ti Wu, Xiaolong Zhang, Dong Wang, Weigong Zhang, Deng Pan, Liang Tao

“…Existing studies have mainly focused on modeling and bench experiments, overlooking a detailed comparative analysis of real sensor performance and validation under actual driving conditions. …”
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Learning from Octopuses: Cutting-Edge Developments and Future Directions by Jinjie Duan, Yuning Lei, Jie Fang, Qi Qi, Zhiming Zhan, Yuxiang Wu

“…The number of related research papers increased from 760 in 2021 to 1170 in 2024 (Google Scholar query), with a growth rate of 53.95% in the past five years. These studies mainly explore how humans can learn from the physiological characteristics of octopuses for sensor design, actuator development, processor architecture optimization, and intelligent optimization algorithms. …”
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HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservation by Simon Schlumbohm, Julia E. Neumann, Philipp Neumann

“…Due to the inherent presence of missing values by such methods and their additional introduction by means of data integration, renowned algorithms such as ComBat and limma are unable to perform batch effect adjustment. …”
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Overview of development and challenges of attitude determination for rotary wing UAVs based on GNSS by Yejia Zeng, Zukun Lu, Zukun Lu, Yuchen Xie, Yuchen Xie, Binbin Ren, Binbin Ren, Yi Yu, Shaojie Ni, Shaojie Ni

“…With the continuous development and the constant enhancement of measurement accuracy related to the Global Navigation Satellite System (GNSS), attitude determination based on GNSS have become the mainstream high-precision attitude measurement approach. This paper mainly discusses the relevant theories of using GNSS for RUAV’s attitude determination, and introduces the relevent key aspects that determine attitude accuracy in the attitude resolution process, such as integer ambiguity fixing, attitude solution algorithms, and integrated attitude measurement. …”
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Predicting Hit Songs Using Audio and Visual Features by Cheng-Yuan Lee, Yi-Ning Tu

“…Factors contributing to a song’s popularity are explored in this study. Recent studies have mainly focused on using acoustic features to identify popular songs. …”
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