CFP-AL: Combining Model Features and Prediction for Active Learning in Sentence Classification by Keuntae Kim, Yong Suk Choi

“…In this study, we propose a new insight, CFP-AL (Combining model Features and Prediction for Active Learning), from the perspective of feature space by analyzing and diagnosing methods that have shown good performance in NLP (Natural Language Processing) sentence classification. …”
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Failure prediction of T-peel adhesive joints by different cohesive laws and modelling approaches by Alessandro Pirondi

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Enhancing Strategic Partnerships in Higher Education: Developing and Implementing a Predictive Model by Georgios Eftychiou

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Prediction on the Seasonal Behavior of Hydrogen Sulfide Using a Neural Network Model by Byungwhan Kim, Joogong Lee, Jungyoung Jang, Dongil Han, Ki-Hyun Kim

“…Models to predict seasonal hydrogen sulfide (H2S) concentrations were constructed using neural networks. …”
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Virtual Synchronous Generator Based on Hybrid Multi-Vector Model Predictive Control by Yinyu Yan, Zhiyuan Fan, Yichao Sun, Wei Wang, Dongmei Yang, Zheng Wei

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Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets by Daniel Cristóbal Andrade-Girón, William Joel Marin-Rodriguez, Marcelo Gumercindo Zuñiga-Rojas

Subjects: “…ensemble model…”
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Prenatal depression level prediction using ensemble based deep learning model by Abinaya Gopalakrishnan, Xujuan Zhou, Revathi Venkataraman, Raj Gururajan, Ka Ching Chan, Guohun Zhu, Niall Higgins

“…This culminated in the development of a novel EBDL model to accurately predict stress levels. Results:: We subsequently applied the ensemble based deep learning model on a testing dataset and our method proved to be 93.87 percent accurate, proving its superiority over the standard supervised classification models. …”
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Application of real‐time nonlinear model predictive control for wave energy conversion by Ali S. Haider, Ted K.A. Brekken, Alan McCall

“…Abstract This article presents an approach to implement a Nonlinear Model Predictive Controller (NMPC) in real‐time with a non‐standard cost index. …”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…This result was confirmed in all prediction methods. However, the results did not show the superiority of the relief-based feature selection model over the principal component analysis-based feature selection model in predicting real earnings management. …”
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Predictive modeling of air quality in the Tehran megacity via deep learning techniques by Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi

Subjects: “…Environmental modeling…”
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Outcome prediction model for patients with unresectable hepatocellular carcinoma treated with targeted therapy by Qiang Ruan, Xiaohui Wang, Qiang Li, Yu Tao, Yang Xun, Hua Yang, Han Zhao, Jinfeng Lu, Dazhi Yang, Yifan Chen, Li Wei

“…Abstract There is no well-established model to predict the outcomes of patients with unresectable hepatocellular carcinoma (u-HCC) receiving targeted therapy. …”
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Factors Associated with and Predictive Model for Resilience in Family Caregivers of Care-Dependent Adults by Belen Gutierrez-Baena, Ester Gilart, Carmen Romero-Grimaldi

“…<b>Aim:</b> The aim of this study was to explore the factors associated with caregiver resilience and establish a predictive model, including the relationship between preparedness, burden, resilience, and anxiety. …”
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Precision diagnosis of burn injuries using imaging and predictive modeling for clinical applications by Pramod K. B. Rangaiah, B P Pradeep kumar, Fredrik Huss, Robin Augustine

“…This paper proposes a methodology that combines the use of advanced medical imaging with predictive modeling for the improvement of burn injury assessment. …”
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Pedestrian trajectory prediction model based on self-supervised spatiotemporal graph network by Shiji Yang, Xuezhong Xiao

“…To improve the accuracy of pedestrian trajectory prediction, the graph - based pedestrian trajectory modeling method in the pedestrian trajectory prediction scenario is effective. …”
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Regression-Based Modeling for Energy Demand Prediction in a Prototype Retail Manipulator by Piotr Kroczek, Krzysztof Lis, Piotr Przystałka

“…The present study proposes two regression-based models for predicting the energy consumption of a four-axis prototype retail manipulator. …”
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Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study by Eric Pulick, John Curtin, Yonatan Mintz

“…Digital sensing and predictive modeling can augment scarce clinician resources to expand and personalize patient care. …”
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Strong Prediction: Language Model Surprisal Explains Multiple N400 Effects by James A. Michaelov, Megan D. Bardolph, Cyma K. Van Petten, Benjamin K. Bergen, Seana Coulson

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Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes. by Ján Antolík, Sonja B Hofer, James A Bednar, Thomas D Mrsic-Flogel

“…When fit to recordings of a local population of mouse layer 2/3 V1 neurons, our model offers an accurate description of their response to natural images and significant improvement of prediction power over the current state-of-the-art methods. …”
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A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads by Ming LI, Jizhou LIU

“…To determine this impact magnitude, this paper proposes and validates a microscopic level method that locally predicts the total noise level and the spectral characteristics of traffic flow in the near-road region. …”
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Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning by FENG Xin, LIU Yanju, TONG Hongfu, QIAN Shuni

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