Development of a Machine Learning Natural Ventilation Rate Model by Studying the Wind Field Inside and Around Multiple-Row Chinese Solar Greenhouses by Ran Liu, Yunyan Shi, Pierre-Emmanuel Bournet, Kaige Liu

Get full text

Large-scale evaluation of soybean germplasm reveals geographic patterns in shade tolerance and identifies elite genotypes for intercropping systems by Fengyi Zhang, Huilong Hong, Xiulin Liu, Xueyang Wang, Chunlei Zhang, Kezhen Zhao, Rongqiang Yuan, Ahmed M. Abdelghany, Bixian Zhang, Sobhi F. Lamlom, Honglei Ren

Get full text

Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time by Uttara U. Khatri, Kristen Pulliam, Muskan Manesiya, Melanie Vieyra Cortez, José del R. Millán, Sara J. Hussain

“…Methods: As a first step towards this goal, we tested a novel machine learning-based EEG-TMS system that identifies personalized brain activity patterns reflecting strong and weak corticospinal tract (CST) activation (strong and weak CST states) in healthy adults in real-time. …”
Get full text

The species distribution model based on the random forest algorithm reveals the distribution patterns of Neophocaena asiaeorientalis by Rao Rongcheng, Huang Yi, Min Jialing, Yang Ying, Liu Fanning, Wu Xiya, Shi Xinyuan, Li Caigang, Dai Yingen, Huang Qinghai, Yu Jinxiang, Que Jianglong

Get full text

Exploring the Influencing Factors of Surface Ozone Variability by Explainable Machine Learning: A Case Study in the Basilicata Region (Southern Italy) by Roberta Valentina Gagliardi, Claudio Andenna

Subjects: Get full text

Machine Learning-Enhanced Discrimination of Gamma-Ray and Hadron Events Using Temporal Features: An ASTRI Mini-Array Analysis by Valentina La Parola, Giancarlo Cusumano, Saverio Lombardi, Antonio Alessio Compagnino, Antonino La Barbera, Antonio Tutone, Antonio Pagliaro

Subjects: “…machine learning…”
Get full text

Programmable friction control in 3D printed patterned multi-materials: a flexible design strategy by Xinle Yao, Yuxiong Guo, Mingyang Wang, Yaozhong Lu, Zhibin Lu, Xin Jia, Yu Gao, Xiaolong Wang

“…This strategy effectively enhances frictional controllability in key mechanical components (e.g. precision gears, self-locking fasteners, and friction interfaces) through optimised patterned integration enabled by additive manufacturing. …”
Get full text

Impact of data spatial resolution on barley yield prediction mapping by F. Ksantini, M. Quemada, N. Arencibia-Pérez, A.F. Almeida-Ñauñay, E. Sanz, Ana M. Tarquis

Subjects: Get full text

Mapping spatial heterogeneity of non-structural carbohydrates in Haloxylon ammodendron using remote sensing in extreme desert environments by Weiyi Zhou, Jing Zhang, Benfeng Yin, Lan Peng, Lingyue Wang, Xiaobing Zhou, Yaoli Zhou, Yanfeng Di, Hongwei Zheng, Yuanming Zhang

Subjects: Get full text

Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma by Fanyan Ou, Yi Pan, Qiuli Chen, Lixiong Zeng, Kanglai Wei, Delin Liu, Qian Guo, Liquan Zhou, Jie Yang

“…We utilized a combination of 101 machine learning algorithms to analyze the TCGA-KIRC cohort and the GSE22541 KIRC patients, screening for cell death patterns closely associated with prognosis from 18 potential modes. …”
Get full text

Application of Machine Learning Methods for Identifying Wave Aberrations from Combined Intensity Patterns Generated Using a Multi-Order Diffractive Spatial Filter by Paval. A. Khorin, Aleksey P. Dzyuba, Aleksey V. Chernykh, Muhammad A. Butt, Svetlana N. Khonina

Get full text

Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study by Clement Twumasi, Mikail Aktas, Nicholas Santoni

Get full text

Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…The London Protocol and Classification were developed to standardize anorectal motility patterns classification. This proof-of-concept study aims to develop and validate an artificial intelligence model for identification and differentiation of disorders of anal tone and contractility in HR-ARM. …”
Get full text

Adapting to change: Visitor patterns in national parks across the pandemic timeline by Dehui Christina Geng, Mingze Chen, Harry Seely, Howie W. Harshaw, Christopher Gaston, Wanli Wu, Guangyu Wang

Get full text

Digits Recognition for Arabic Handwritten through Convolutional Neural Networks, Local Binary Patterns, and Histogram of Oriented Gradients by Bushra Mahdi Hasan, Zahraa Jasim Jaber, Ahmad Adel Habeeb

Subjects: “…Image Processing, Deep Learning, K Nearest Neighbor, Pattern Recognition, Machine Learning…”
Get full text

Spatial heterogeneity patterns along the human footprint gradient and their ecological implications: A case study in South Korea by Kyoung-Ho Kim, Minkyu Park, Taeho Park, Donghae Baek, Gyobeom Kim, Namjoo Heo, Dong Jun Chun

“…This study investigates how human footprint intensity shapes spatial heterogeneity patterns and their ecological implications in South Korea by integrating multiple heterogeneity metrics and machine learning approaches. …”
Get full text

Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990–2018) by Adriano Matousek, Tiffany H Leung, Herbert Pang

Get full text

Efficacy of machine learning in simulating precipitation and its extremes over the capital cities in North Indian states by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak

Subjects: Get full text

MultiModalGraphSearch: Intelligent Massive-Scale SubGraph Discovery for Multi-Category Financial Pattern Mining by Yaohan Qi

Subjects: “…Machine learning…”
Get full text

Effects of different hill spacings and seedling numbers per hill on dry matter production and yield of machine-transplanting hybrid rice by PU Shilin, DENG Fei, HU Hui, ZHONG Xiaoyuan, WANG Li, LI Wu, LI Shuxian, LIAO Shuang, REN Wanjun

Subjects: “…field collocation pattern…”
Get full text