Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation by Sambandh Dhal, Jorge Alvarado, Ulisses Braga-Neto, Benjamin Wherley

Subjects: “…Machine learning…”
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Earthquake induced liquefaction hazard analysis for Chittagong City using machine learning by Md. Mehedi Hasan, Md. Zillur Rahman, Abul Kashem Faruki Fahim

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Rate of brain aging associates with future executive function in Asian children and older adults by Susan F Cheng, Wan Lin Yue, Kwun Kei Ng, Xing Qian, Siwei Liu, Trevor WK Tan, Kim-Ngan Nguyen, Ruth LF Leong, Saima Hilal, Ching-Yu Cheng, Ai Peng Tan, Evelyn C Law, Peter D Gluckman, Christopher Li-Hsian Chen, Yap Seng Chong, Michael J Meaney, Michael WL Chee, BT Thomas Yeo, Juan Helen Zhou

“…Moreover, the longitudinal change in brain age gap reflects developing and aging processes in the brain, relating to future cognitive function.…”
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Characterizing Duodenal Immune Microenvironment in Functional Dyspepsia: An AutoML-Driven Diagnostic Framework by Zhang X, Fan X, Hu X, Qian Z, Li J, Wu W, Chen L, Wu S, Ma L, Yang C, Zhang T, Su X, Wei W

Subjects: “…Functional dyspepsia…”
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The efficacy of training on the four quadrant brain processes on cognitive functions of students with mathematical disorders by zohreh sadat moeini, farnaz Keshavarzi Arshadi, Masoud Gholam Ali Lavasani, SAEED hasanzadeh

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An exploration of distinguishing subjective cognitive decline and mild cognitive impairment based on resting-state prefrontal functional connectivity assessed by functional near-in... by Zhengping Pu, Zhengping Pu, Hongna Huang, Man Li, Hongyan Li, Xiaoyan Shen, Qingfeng Wu, Qin Ni, Yong Lin, Donghong Cui

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A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems by Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei

“…To enhance the proposed model’s robustness and accuracy, a probabilistic loss function based on the entropy theory is formulated. …”
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Application of SVM, FFNNs, k-NN and Their Ensembles for Identifying Functionally Reliable Systems by Oleg Barabash, Andriy Makarchuk, Pavlo Open’ko, Serhii Korotin

Subjects: “…functional stability…”
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Folk High School as a Supportive Environment for Participants with High-Functioning Autism by Joel Hedegaard, Martin Hugo, Cecilia Bjursell

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Joint image reconstruction and segmentation of real-time cardiovascular magnetic resonance imaging in free-breathing using a model based on disentangled representation learning by Tobias Wech, Oliver Schad, Simon Sauer, Jonas Kleineisel, Nils Petri, Peter Nordbeck, Thorsten A. Bley, Bettina Baeßler, Bernhard Petritsch, Julius F. Heidenreich

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The Function of the Hippocampus in Bridging Functional and Temporal Discontiguity by Ze Zhang, Kazuhisa Niki, Jing Luo

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THE ENIGMA OF WORKING MOTHERS IN INSTITUTIONS OF HIGHER LEARNING IN NSUKKA L.G.A. OF ENUGU STATE: WORK-FAMILY ROLE CONFLICT by NDUBUISI ONESIMUS OPARAOCHA

“…Most mothers are employed in institutions of higher learning; which Enugu State is not left out. It is against this background that this study examines the impact of work-family role conflict among working mothers in institutions of higher learning in Nsukka L.G.A. of Enugu State. …”
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Identification of key proteins and pathways in myocardial infarction using machine learning approaches by Chang Liu, Xing Zhang, Qian Xie, Binbin Fang, Fen Liu, Junyi Luo, Gulandanmu Aihemaiti, Wei Ji, Yining Yang, Xiaomei Li

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Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

Subjects: “…transmissibility functions…”
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Teaching and learning process for mathematization activities: The case of solving maximum and minimum problems by Al Jupri, Dian Usdiyana, Ririn Sispiyati

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DISTANCE (ONLINE) LEARNING IN THE CONTEXT OF THE EFFECTIVENESS OF STUDENT TEACHER INTERACTION by Natalya М. Makarenko, Svitlana А. Dribas

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SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions by Eric Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer

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Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China by Jianyu Yao, Xiaoyang Kong, Lei Fang, Zhaohan Huo, Yanbo Peng, Zile Han, Shilong Ren, Jinyue Chen, Xinfeng Wang, Qiao Wang

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Prediction of the Gross Motor Function Measure-66 in Ambulant Children with Cerebral Palsy Based on Instrumental Gait Analysis Using Machine-Learning Algorithms by Stephanie Gross, Karoline Spiess, Stefanie Steven, Maja Zimmermann, Eckhard Schoenau, Ibrahim Duran

“…The Gross Motor Function Measure-66 (GMFM-66, range of values: 0 to 100 points) is one of the most widely used clinical tests to quantify motor function in children with cerebral palsy (CP). …”
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Deep behavioral phenotyping tracks functional recovery following tibia fracture in mice by Jonathan E. Layne, Dustin M. Snapper, Dustin M. Snapper, Molly E. Czachor, Charles Lam, Jacob D. Matityahu, Dane R. G. Lind, Matthieu Huard, Johnny Huard, Kazuhito Morioka, Julian C. Motzkin, Julian C. Motzkin, Allan I. Basbaum, Jarret A. P. Weinrich, Jarret A. P. Weinrich, Chelsea S. Bahney, Chelsea S. Bahney

“…Our analysis revealed that functional recovery is more complex than individual parameters viewed in isolation, with different parameters identifying distinct recovery timeframes. …”
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