Simulation and accurate prediction of thermal efficiency of functionalized COOH-MWCNT/water nanofluids by artificial neural network using experimental data by Mohammad Hemmat Esfe, Davood Toghraie, Saeed Esfandeh, Sayyid Majid Motallebi

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Developing an electronic surprise question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions by Baldev Singh, Nisha Kumari-Dewat, Adam Ryder, Vijay Klaire, Hannah Jennens, Kamran Ahmed, Mona Sidhu, Ananth Viswanath, Emma Parry

“…Probability cut points triaged unknown prognosis into the GSFSQ equivalent ‘Yes’ or ‘No’ survival categories (> or < 1-year respectively), with subsidiary classification of ‘No’. Prediction was tested against prospective mortality. …”
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A novel driving lane change intent prediction model based on image data mining approach and transformer by Junbo He, Wei Guan, Xuanyuan Gou, Zhiqing Zhang

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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept by S. Prabakaran, S. Mary Praveena

Subjects: “…Osteosarcoma prediction…”
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Proposing a framework for body mass prediction with point clouds: A study applied in typical swine pen environments by Gabriel Pagin, Luciane Silva Martello, Rubens André Tabile, Rafael Vieira de Sousa

“…In this context, the main objective of this research is to investigate a novel framework comprising effective algorithms for feature extraction, attribute selection, hyperparameter optimization, and prediction modelling, using point clouds collected from production animals (growing and finishing pigs). …”
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Research on IoT network performance prediction model of power grid warehouse based on nonlinear GA-BP neural network by Pang Lele, Xia Bo, Cheng Zhanfeng, Ren Zhiqiang, Shen Hao, Li Pengfei

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Distributivity, partitioning, and the multiplication algorithm by Chris Hurst, Ray Huntley

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Efficient and Constant Time Modular Reduction With Generalized Mersenne Primes by Serdar S. Erdem, Sezer S. Erdem

“…The proposed modular reduction algorithms handle the final reduction by two subtractions in constant time to avoid timing attacks.…”
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Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…With these predictions based on existing datasets, a selector algorithm module is adopted to identify the most suitable data reduction approach for specific IoT applications. …”
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Extended Generalized Skew Laplace Random Field: Spatial Autoregressive and Moving Average Model for Prediction of Missing Data in Skew and Heavy Tailed Data by Mohammad Mehdi Saber, Alireza Nematollahi, Mohsen Mohammadzadeh

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A Deformation Prediction Model for Concrete Dams Based on RSA-VMD-AttLSTM by Pei Liu, Hao Gu, Chongshi Gu, Yanbo Wang

Subjects: “…deformation prediction model…”
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Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions by Haider A. Mohamed-Kazim, Ahmed Hussein Shatti, Ahmed Aldhahab, Ikhlas Abdel-Qader, Sarmad K. Ibrahim, Rusul Noori Saraj

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Enhancing PM_2.5 Air Pollution Prediction Performance by Optimizing the Echo State Network (ESN) Deep Learning Model Using New Metaheuristic Algorithms by Iman Zandi, Ali Jafari, Aynaz Lotfata

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Ensemble intelligence prediction algorithms and land use scenarios to measure carbon emissions of the Yangtze River Delta: A machine learning model based on Long Short-Term Memory. by Qi Dai, Xiao-Yan Liu, Fang-Yi Sun, Fang-Rong Ren

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A web-based tool for predicting gastric ulcers in Chinese elderly adults based on machine learning algorithms and noninvasive predictors: A national cross-sectional and cohort study by Xingjian Xiao, Xiaohan Yi, Zumin Shi, Zongyuan Ge, Hualing Song, Hailei Zhao, Tiantian Liang, Xinming Yang, Suxian Liu, Bo Sun, Xianglong Xu

“…We employed nine machine learning algorithms to construct predictive models for gastric ulcers over the next seven years (2011–2018, with 1482 samples) and the next three years (2014–2018, with 2659 samples). …”
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Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta-analysis by Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

“…This meta-analysis included 21 of 577 articles initially collected on the accuracy of ML algorithms for detecting and predicting anatomical landmarks. …”
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Reduction of artifacts associated with missing data in coherent diffractive imaging by Erik Malm, Yuriy Chushkin

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Noise Reduction in CWRU Data Using DAE and Classification with ViT by Jun-gyo Jang, Soon-sup Lee, Se-yun Hwang, Jae-chul Lee

“…These technological advancements have played a significant role in the dramatic growth of the predictive maintenance market for mechanical equipment, prompting active research on noise removal techniques and classification algorithms for the accurate determination of the causes of equipment failure. …”
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Prediction of the 180 day functional outcomes in aneurysmal subarachnoid hemorrhage using an optimized XGBoost model by Weichong Zhou, Xingfu Liao, Hui Shi, Mingfeng Wang, Yunchong Xiao, Xilu Yu, Yilong Wu, YanYi Liu, Yin Peng, Hai Su

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One-point Method for Speed Strategy Optimization Based on Slope Simplification and Speed Limit Prediction by XING Jian, HAN Bing

Subjects: “…speed limit prediction…”
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