Angular and CP-Violation Analyses of B-→D⁎+l-ν-l Decays at Hadron Collider Experiments by Daniele Marangotto

“…The B-→D⁎+l-ν-l branching fractions ratio between muon and tau lepton decay modes R(D⁎) has shown intriguing discrepancies between the Standard Model prediction and measurements performed at BaBar, Belle, and LHCb experiments, a possible sign of beyond the Standard Model physics. …”
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An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis by Zhicheng Qiao, Yongqiang Liu, Yingying Liao

“…The classification prediction ability of SVM is also better than that of K-nearest neighbor (KNN) and extreme learning machine (ELM).…”
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THE CONCEPT OF ‘ALA BỤ ALA’: A SIGNAL FOR IGBO EXTINCTION by CYPRIAN CHIDOZIE EZE, MABEL NKECHINYERE EZE

“…Many have written on the Igbo language endangerment especially since the prediction of the United Nations Educational, Scientific and Cultural Organization(UNESCO) that Igbo language may be heading to extinction in fifty years if nothing is done by the speakers. …”
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Field Observations During the Tenth Microwave Water and Energy Balance Experiment (MicroWEX-10): from March 1, 2011 through January 5, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Xueyang Duan, Guanbo Chen, Robert Terwilleger, Alejandro Monsivais-Huertero, Roger De Roo, Jasmeet Judge, Ruzbeh Akbar, Mary Morris, Olivia Williams, Lindsey Marks, Courtnay Cardozo, Mahta Moghaddam, Anthony England

“… For accurate weather prediction, accurate modeling of surface hydrological processes is very important. …”
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Correlation between Ferroptosis-Related Gene Signature and Immune Landscape, Prognosis in Breast Cancer by Jiahao Zhu, Qingqing Chen, Ke Gu, You Meng, Shengjun Ji, Yutian Zhao, Bo Yang

“…Collectively, the ferroptosis-related risk model established in this study may serve as an effective tool to predict the prognosis in BC.…”
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Analysis of Ageing Effect on Li-Polymer Batteries by Simone Barcellona, Morris Brenna, Federica Foiadelli, Michela Longo, Luigi Piegari

“…In particular, they play an important role in the electrification of mobility and therefore the battery lifetime prediction is a fundamental aspect for successful market introduction. …”
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Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

“…The use of Artificial Neural Networks (ANN), one of the artificial intelligence methods used for prediction, has increased in the field of health in recent years and has become an important tool for early disease diagnosis. …”
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Incremental accumulation of linguistic context in artificial and biological neural networks by Refael Tikochinski, Ariel Goldstein, Yoav Meiri, Uri Hasson, Roi Reichart

“…This model significantly enhances the prediction of neural activity in higher-order regions involved in long-timescale processing. …”
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A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…On this basis, we model the ARS problem as a data-driven optimal control problem, aiming to realize both learning and prediction of propagation parameters based on network traffic data observed at multiple discrete time slots and control of IoT botware propagation to a desired infection level. …”
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The Generalization Complexity Measure for Continuous Input Data by Iván Gómez, Sergio A. Cannas, Omar Osenda, José M. Jerez, Leonardo Franco

“…The measure, originally defined in Boolean space, quantifies the complexity of data in relationship to the prediction accuracy that can be expected when using a supervised classifier like a neural network, SVM, and so forth. …”
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Civil structural health monitoring and machine learning: a comprehensive review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…In the past five years, the implementation of machine learning (ML) techniques has surged in civil engineering applications, particularly for optimizing and predicting solutions to various challenges. More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
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Simulation and Modeling Application in Agricultural Mechanization by R. M. Hudzari, M. A. H. A. Ssomad, R. Syazili, M. Z. M. Fauzan

“…The simulation model is regressed and predicts the day of harvesting or a number of days before harvest of FFB. …”
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Digital Technology Empowers Grain Supply Chain Optimization Simulation by Xiaoyan Xu, Zhongye Sun

“…Through detailed empirical analysis of each subsystem, we judge the development trend of the total grain system, perform operational tests and historical tests on the simulation results of the model to judge the rationality of the model system structure and simulation prediction, and give the simulation results. Finally, based on the forecast results, targeted countermeasures and suggestions are proposed.…”
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Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests by Franck Nguyen, Selim M. Barhli, Daniel Pino Muñoz, David Ryckelynck

“…In this paper, computer vision enables recommending a reduced order model for fast stress prediction according to various possible loading environments. …”
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The approximate lag and anticipating synchronization between two unidirectionally coupled Hindmarsh-Rose neurons with uncertain parameters by Bin Zhen, Ya-Lan Li, Li-Jun Pei, Li-Jun Ouyang

“…The research demonstrates that employing the current state of an HR neuron, despite having uncertain parameters, enables the accurate prediction of future states and the reconstruction of past states. …”
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Simultaneous Detemination of Atorvastatin Calcium and Amlodipine Besylate by Spectrophotometry and Multivariate Calibration Methods in Pharmaceutical Formulations by Amir H. M. Sarrafi, Elahe Konoz, Maryam Ghiyasvand

“…Multivariate calibration modeling procedures, traditional partial least squares (PLS-2), interval partial least squares (iPLS) and synergy partial least squares (siPLS), were applied to select a spectral range that provided the lowest prediction error in comparison to the full-spectrum model. …”
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Evolution of uncontrolled proliferation and the angiogenic switch in cancer by John D. Nagy, Dieter Armbruster

“…The former case yields a tumor-on-a-tumor, or hypertumor, as predicted in other studies, and the latter case may explain vascular hyperplasia evident in certain tumor types.…”
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Optimization of PLL frequency synthesizer by G. A. Koshuk, I. A. Tikhonov, B. A. Kosarev

“…The possibility of computer prediction of such PLL parameters as power consumption, start-up time, jitter and phase noise level at the choice of the frequency divider from the generator to the circuit output is shown.…”
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Frequency-based salience of dual meanings in conventional metaphor acquisition: Evidence from toddlers in Urban England by Dorota K. Gaskins

“…Contrary to the generic argument that children’s pragmatic reasoning with non-literal uses is impeded by meaning conventionality (Falkum, 2022), my preliminary data suggest that it is influenced by the frequency of exposure to the concrete meanings of conventional metaphors, which leads to a generalised prediction that the most probable interpretation of any new metaphor is concrete (literal). …”
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Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…We used a deep learning-based convolution neural network (CNN) classifier model to optimize the CNN algorithm parameter for better prediction. The enhanced particle swarm optimization (PSO) technique was used for optimization. …”
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