Influence of Healthy Physical Fitness on the Teaching of Aerobics Course Based on Big Data Mining Technology by Laipeng Xiao

“…On the basis of analyzing the process of data mining, the composition of healthy physical fitness, and the role of aerobics, it is used to test students in a certain university through experimental methods and statistical methods. …”
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A model for Managing the Competitive Activitiesof Top-Level Teams Based on Computer Vision Online by Sergei L. Goldstein, Andrey A. Polozov, Natalia V. Papulovskaya, Natalya A. Maltseva, Maxim V. Kraev

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Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN by Savitri Kulkarni, P. Deepa Shenoy, K.R. Venugopal

“…Unlike conventional GAN-based augmentation approaches, this segmentation-driven pipeline emphasizes disease-affected regions, thus improving the discriminatory learning capability of CNN classifiers. …”
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Index approach to the assessment of the formation of human capital of the enterprise by M. B. Flek, E. A. Ugnich

“…The index method was used. Based on the calculation of the indices of formal and informal learning, the composite indices of the formation of human capital were determined, reflecting the assessment of the actual learning of employees and the desired state in which they feel the need. …”
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A computational framework to characterize and compare the tonal repertoires of toothed whales by Maia Austin, Julie N. Oswald, Manali Rege‐Colt, Emma Gagne, Eric Angel Ramos, Joëlle De Weerdt, Nicola Ransome, Laura J. May‐Collado

“…While the methods differ in their assumptions, there was consensus in the ranking of species based on repertoire size. …”
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Constricting Gaps: Protocol development, implementation challenges and lessons learned for the reality map of unmet needs for Palliative Care Interventions in advanced cancer patie... by Natalie Kalbermatten, Razvan Curca, Alexandru Grigorescu, Daniela Mosoiu, Florina Pop, Vladimir Poroch, Ariana Rosiu, Patriciu Achimas-Cadariu, Florian Strasser

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AIF: Infrared and Visible Image Fusion Based on Ascending–Descending Mechanism and Illumination Perception Subnetwork by Ying Liu, Xinyue Mi, Zhaofu Liu, Yu Yao

“…Ablation experiments demonstrate the effectiveness of the loss function. We compare our method with nine other methods on public datasets, including four traditional methods and five deep-learning-based methods. …”
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Annotation-free prediction of microbial dioxygen utilization by Avi I. Flamholz, Joshua E. Goldford, Philippa A. Richter, Elin M. Larsson, Adrian Jinich, Woodward W. Fischer, Dianne K. Newman

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Computational intelligence investigations on evaluation of salicylic acid solubility in various solvents at different temperatures by Adel Alhowyan, Wael A. Mahdi, Ahmad J. Obaidullah

“…Abstract This research shows the utilization of various tree-based machine learning algorithms with a specific focus on predicting Salicylic acid solubility values in 13 solvents. …”
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Accelerating cell culture media development using Bayesian optimization-based iterative experimental design by Harini Narayanan, Joshua A. Hinckley, Rachel Barry, Brendan Dang, Lenna A. Wolffe, Adel Atari, Yuen-Yi Tseng, J. Christopher Love

“…Here, we apply a Bayesian Optimization-based iterative framework for experimental design to accelerate cell culture media development for two applications. …”
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Early Breast Cancer Prediction Using Thermal Images and Hybrid Feature Extraction-Based System by Doaa Youssef, Hanan Atef, Shaimaa Gamal, Jala El-Azab, Tawfik Ismail

“…The proposed approach makes use of two main methods for feature extraction. The first method generates texture and edge maps based on the Gabor filter bank, Canny edge detector, and holistically nested edge detector to inherit the distinctive information and patterns associated with breast functionality. …”
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Integrating Semantic Zoning Information with the Prediction of Road Link Speed Based on Taxi GPS Data by He Bing, Xu Zhifeng, Xu Yangjie, Hu Jinxing, Ma Zhanwu

“…In order to incorporate the spatiotemporal dynamics and correlation characteristics of road links into speed prediction, this paper proposes a method based on LDA and GCN. First, we construct a trajectory dataset from map-matched GPS location data of taxis. …”
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Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learn... by Yekai Zhou, Celia Jiaxi Lin, Qiuyan Yu, Joseph Edgar Blais, Eric Yuk Fai Wan, Emmanuel Wong, Kathryn Tan, David Chung-Wah Siu, Kai Hang Yiu, Esther Wai Yin Chan, Doris Yu, William Wong, Tak-Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine S L Chui

“…To identify CVD high-risk individuals for early intervention, we created and validated a primary prevention risk prediction model, Personalized CARdiovascular DIsease risk Assessment for Chinese (1°P-CARDIAC), in contemporary Chinese cohorts in Hong Kong.<h4>Methods</h4>Patients without any history of CVD was categorized as derivation and validation cohorts based on their different geographical location of residence in Hong Kong. …”
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A SWIN-based vision transformer for high-fidelity and high-speed imaging experiments at light sources by Songyuan Tang, Tekin Bicer, Kamel Fezzaa, Samuel Clark

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Software-Based Transformation of White Light Endoscopy Images to Hyperspectral Images for Improved Gastrointestinal Disease Detection by Chien-Wei Huang, Chang-Chao Su, Chu-Kuang Chou, Arvind Mukundan, Riya Karmakar, Tsung-Hsien Chen, Pranav Shukla, Devansh Gupta, Hsiang-Chen Wang

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Validation of markerless video-based gait analysis using pose estimation in toddlers with and without neurodevelopmental disorders by Jeffrey T. Anderson, Jan Stenum, Ryan T. Roemmich, Ryan T. Roemmich, Rujuta B. Wilson, Rujuta B. Wilson

“…Mullen early learning composite scores ranged from 49 to 95 (m = 80.91, sd = 26.68). …”
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Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments by Tong Wang, Yuanqing Fu, Menglei Shuai, Ju-Sheng Zheng, Lu Zhu, Andrew T. Chan, Qi Sun, Frank B. Hu, Scott T. Weiss, Yang-Yu Liu

“…Currently, few computational methods exist to address this problem. In the present study, we introduce a deep-learning approach—Microbiome-based nutrient profile corrector (METRIC), which leverages gut microbial compositions to correct random errors in self-reported dietary assessments using 24-hour recalls or diet records. …”
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Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

“…In this study, we aim to develop advanced machine learning regression models for the prediction of hydrate temperature based on the chemical composition of sweet gas mixtures. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

“…These methods could be used to identify ingredients that deviate from their typical microbial composition, which could indicate food fraud or safety issues. …”
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Research on community characteristics of vegetation restoration in hilly power engineering based on multi temporal remote sensing technology by Chen Bin, Lei Dong, Huang Liangjun, Liu Qingdong, Zhao Xuan, Shi Yuanping

“…Taking the ±800 kV UHVDC transmission project in a certain area as an example, the multi temporal remote sensing data of the project area are collected by Landsat satellite. Combining the deep learning model with the multi model hierarchical classification algorithm, the remote sensing prediction map based on deep learning is used as the classification base map, and the normalized difference vegetation index threshold is used to classify the uncovered area. …”
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