Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction by Van Nhanh Nguyen, Nghia Chung, G.N. Balaji, Krzysztof Rudzki, Anh Tuan Hoang

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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…To achieve high accuracy through recursive multi-step-ahead prediction using GP, large computational resources are required. …”
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Toward Intelligent Intrusion Prediction for Wireless Sensor Networks Using Three-Layer Brain-Like Learning by Jun Wu, Song Liu, Zhenyu Zhou, Ming Zhan

“…The intrusion prediction for wireless sensor networks (WSNs) is an unresolved problem. …”
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Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction by Marco Antonio Aceves-Fernández, Ricardo Domínguez-Guevara, Jesus Carlos Pedraza-Ortega, José Emilio Vargas-Soto

“…In this particular case-study, the use of deep convolutional neural networks (both 1D and 2D) was explored to probe the feasibility of these techniques in prediction tasks. Furthermore, in this contribution, an ensemble method called Bagging (BEM) is used to improve the accuracy of the prediction model. …”
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Improving Traffic State Prediction Model for Variable Speed Limit Control by Introducing Stochastic Supply and Demand by Yuwei Bie, Mudasser Seraj, Can Zhang, Tony Z. Qiu

“…Thus, this paper investigates how to eliminate this prediction error within a VSL environment. In this study, the traffic state prediction model is a second-order traffic flow model named METANET, while the VSL control is model predictive control (MPC) based, and the VSL decision is discrete optimized choice. …”
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Predictive value of Frank’s sign for obstructive coronary artery disease confirmed by coronary computed tomography angiography by Truong Phi Hung, Nguyen Minh Kha, Dang Tuong Vi, Tran Trong Nhan, Hoang Van Sy

“…Frank’s sign demonstrated an area under the curve of 0.69, with 88% sensitivity and 50% specificity in predicting CAD. This study highlights a significant association between Frank’s sign and CAD, independent of established risk factors, in a Vietnamese population. …”
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Circulating miRNA-125b Is a Potential Biomarker Predicting Response to Rituximab in Rheumatoid Arthritis by Isabelle Duroux-Richard, Yves-Marie Pers, Sylvie Fabre, Meryem Ammari, Dominique Baeten, Guillaume Cartron, Isabelle Touitou, Christian Jorgensen, Florence Apparailly

“…Our results identify circulating miR-125b as a novel miRNA over expressed in RA and suggest that serum level of miR-125b is potential predictive biomarker of response to rituximab treatment.…”
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Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

“…The tree-based models established demonstrated acceptable predictive abilities, yielding a low mean absolute error (MAE) of 31°C. …”
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Optimal channel and feature selection for automatic prediction of functional brain age of preterm infant based on EEG by Ling Li, Jiahui Li, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…However, using all channels and features for brain maturity assessment can lead to high computational burden and overfitting, which can decrease the performance of the prediction system.MethodsIn this study, we propose an automatic prediction framework based on EEG to predict functional brain age (FBA) for assessing brain maturity in preterm infants. …”
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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

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Development and Application of Physiologically-Based Pharmacokinetic Model to Predict Systemic and Organ Exposure of Colorectal Cancer Drugs by Sara Peribañez-Dominguez, Zinnia Parra-Guillen, Iñaki F. Troconiz

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Predictions for the Isolated Diphoton Production through NNLO in QCD and Comparison to the 8 TeV ATLAS Data by Bouzid Boussaha, Farida Iddir, Lahouari Semlala

“…We present cross-section predictions for the isolated diphoton production in next-to-next-to-leading order (NNLO) QCD using the computational framework MATRIX. …”
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Research on Predicting Super-Relational Data Links for Mine Hoists Within Hyper-Relational Knowledge Graphs by Xiaochao Dang, Xiaoling Shu, Fenfang Li, Xiaohui Dong

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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

“…The results demonstrate that ML techniques are highly effective in predicting the critical diameter within DLD devices, with the ANN model achieving superior performance, attaining an [Formula: see text] value of 0.949. …”
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Epidemiology of Lumbar Puncture and the Validity of Meningeal Signs in Predicting Meningitis in Children: A Cross-sectional Study by Mehjabin, Shiji Joseph, Arun Ravi, Kalyani Pillai

“…Introduction: Predictive models have been developed to estimate the likelihood of bacterial meningitis in patients with clinical features suggestive of Central Nervous System (CNS) involvement. …”
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Prediction of Production Performance of Refractured Shale Gas Well considering Coupled Multiscale Gas Flow and Geomechanics by Zhiqiang Li, Zhilin Qi, Wende Yan, Zuping Xiang, Xiang Ao, Xiaoliang Huang, Fei Mo

“…The model is validated using actual production data of a horizontal shale gas well and applied to predict the production and production increase percentage (PIP) after refracturing. …”
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Data-Driven Method for Predicting Soil Pressure of Foot Blades within a Large Underwater Caisson by Can Huang, Hao Zhu, Kunyao Li, Jianxin Zheng, Hao Li, Jiaming Li, Yao Xiao

“…Furthermore, by improving the splitting method of the original Classification and Regression Tree (CART) algorithm, a single model’s numerical prediction of 80-foot blades soil pressures is realized. …”
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Analisis Kerusakan Melalui Predictive Maintenance pada Main Drive Raw Mill Indarung II/III by Lukman Alrasyid, Jhon Malta

Subjects: “…main drive, predictive maintenance, vibration analysis, spectrum velocity…”
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Histological risk score and its role in predicting recurrence in early-stage oral squamous cell carcinomas by Daphne Fonseca, Rashmi Khemani, Mohan K. Pasam, Ravindranath Tagore, B. Vishal Rao, Suseela Kodandapani, Chandrasekhara Rao, K. V. V. N. Raju, T Subramanyeshwar Rao

“…Conclusion: Adequate assessment of simple parameters on routine H and E by incorporating Brandwein-Gensler histological risk scoring model at the initial presentation can help prognosticate and predict LRR and select patients for post-surgical adjuvant therapy.…”
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Machine learning prediction of combat basic training injury from 3D body shape images. by Steven Morse, Kevin Talty, Patrick Kuiper, Michael Scioletti, Steven B Heymsfield, Richard L Atkinson, Diana M Thomas

“…Predictions were made using logistic regression, random forest, and artificial neural network (ANN) models. …”
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