Management of Ocular Diseases Using Lutein and Zeaxanthin: What Have We Learned from Experimental Animal Studies? by Chunyan Xue, Richard Rosen, Adrienne Jordan, Dan-Ning Hu

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Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting by Hai Tao, Ali Omran Al-Sulttani, Ameen Mohammed Salih Ameen, Zainab Hasan Ali, Nadhir Al-Ansari, Sinan Q. Salih, Reham R. Mostafa

“…The application of machine learning (ML) models in forecasting river flow has grown rapidly. …”
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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

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PENINGKATAN HASIL BELAJAR MATEMATIKA MATERI TRIGONOMETRI MELALUI MODEL PROBLEM BASED LEARNING BERBASIS MEDIA AUDIOVISUAL by Ulfia Ramli

“… Tujuan penelitian untuk meningkatkan hasil belajar peserta didik kelas X MIPA 3 pada materi trigonometri menggunakan model pembelajaran Problem Based Learning (PBL) dengan bantuan media audiovisual. Penelitian ini dilakukan menggunakan metode Penelitian Tindakan Kelas (PTK) dengan prosedur penelitian mencakup tahapan perencanaan, pelaksanaan, observasi dan refleksi yang terdiri dari 2 siklus pembelajaran. …”
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Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

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ExAIRFC-GSDC: An Advanced Machine Learning-Based Interpretable Framework for Accurate Gas Leakage Detection and Classification by B. Lalithadevi, S. Krishnaveni

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Relative Fat Mass and Physical Indices as Predictors of Gallstone Formation: Insights From Machine Learning and Logistic Regression by Deng L, Wang S, Wan D, Zhang Q, Shen W, Liu X, Zhang Y

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Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning by Guangyan Yang

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Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU by Fath U Min Ullah, Amin Ullah, Noman Khan, Mi Young Lee, Seungmin Rho, Sung Wook Baik

“…Stand by this, we propose an intelligent deep learning-based PLF method where at first the data collected from the house through meters are fed into the pre-assessment step. …”
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Strategic plan for community service in Malang Universitas Terbuka distance learning program unit (UPBJJ-UT) lecturers by Elpipres Muhammad Niku

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A Hybrid Model of Extreme Learning Machine Based on Bat and Cuckoo Search Algorithm for Regression and Multiclass Classification by Qinwei Fan, Tongke Fan

“…Extreme learning machine (ELM), as a new simple feedforward neural network learning algorithm, has been extensively used in practical applications because of its good generalization performance and fast learning speed. …”
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Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

“…The capability of the extreme learning machine (ELM) model in modeling stochastic, nonlinear, and complex hydrological engineering problems has been proven remarkably. …”
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Student perceived effectiveness of task-based instructional design of data-driven synonym learning featuring “mini-lecture” by Yang Yingying, Chen Lin, Tian Xumin

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Leveraging machine learning for enhanced reservoir permeability estimation in geothermal hotspots: a case study of the Williston Basin by Abdul-Muaizz Koray, Emmanuel Gyimah, Mohamed Metwally, Hamid Rahnema, Olusegun Tomomewo

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Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy by Jie Yang, Jian-Guo Zhou, Benjamin Frey, Hu Ma, Haitao Wang, Markus Hecht, Rainer Fietkau, Udo Gaipl, Xiaofei Chen, Ada Hang-Heng Wong, Fangya Tan, Si-Si He, Gang Shen, Yun-Jia Wang, Wenzhao Zhong

“…We aimed to develop a predictive framework based on machine learning (ML) methods to identify FP in advanced NSCLC patients using blood test biomarkers.Methods and analysis We extracted data of 1546 atezolizumab-treated patients from four multicentre clinical trials. …”
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Retracted: PLncWX: A Machine-Learning Algorithm for Plant lncRNA Identification Based on WOA-XGBoost by Journal of Chemistry

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Author Correction: AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples by Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek

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Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning by Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim

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The Influence of lecturers’ verbal and non-verbal immediacy behaviour on perceived affective and cognitive learning in a multicultural context. by Lydie Terblanche, Terry Terblanche

“…Data was collected by means of a questionnaire that had separate sections on immediacy behaviour and learning. Positive correlations between the immediacy behaviour of the lecturers and the affective and cognitive learning of the learners were observed for the whole test group. …”
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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

Subjects: “…Machine learning…”
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