Spatial Downscaling of Daily Temperature Minima Using Machine Learning Methods and Application to Frost Forecasting in Two Alpine Valleys by Sudheer Bhakare, Michael Matiu, Alice Crespi, Dino Zardi

“…The CNN model also exhibits superior performance in frost prediction, with the highest F1 score (0.78) and lowest False Discovery Rate (0.30) in predicting frost events, particularly in early spring for the short-term forecast period over 2010–2018. …”
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Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review. by Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds

“…Machine learning (ML) and deep learning (DL) models are being increasingly employed for medical imagery analyses, with both approaches used to enhance the accuracy of classification/prediction in the diagnoses of various cancers, tumors and bloodborne diseases. …”
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Renal Dysfunction, Metabolic Syndrome and Cardiovascular Disease Mortality by David Martins, Chizobam Ani, Deyu Pan, Omolola Ogunyemi, Keith Norris

“…Few studies have explored the predictive utility of co-clustering CKD with MetS for cardiovascular disease (CVD) mortality. …”
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New insight into the controlling factors of differences in carbonate buried-hills driven by tectonic activity: a case study of the Weixinan Sag, Beibuwan Basin, China by Yanying Li, Kongyou Wu, Jia Zhong, Yannan Du, Jinyou Wang

“…This study provides significant guidance for the development and reservoir prediction for similarly carbonate buried karst hills.…”
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Electrochemical sensors for the detection of immune checkpoint related proteins and their role in cancer companion diagnostics by Louise Barnaby, Andrew G. Watts, Pedro Estrela

“…This review investigates the potential biomarkers relevant to predicting ICI success, as well as the current electrochemical sensors that have been developed to determine the expression levels of these proteins.…”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Finally, we employ a stacking ensemble approach, where the prediction results of base classifiers corresponding to different domain features and the set of significant features undergo linear discriminant analysis for dimensionality reduction, yielding discriminative feature integration as input for the meta-classifier for classification. …”
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Comparison of accuracy in freehand versus computer-assisted (dynamic and static) dental implant placement: A systematic review and meta-analysis by Saurav Banerjee, Anasua Debnath, Priyanjali Paul, Tridib Nath Banerjee

“…Freehand techniques demonstrated the highest deviations, with platform deviations up to 3.48 mm and angular deviations up to 10.09°. Prediction intervals indicated consistent superiority of dynamic guidance across metrics. …”
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A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation by Pengfei Xia, Biyan Chen, Ning Huang, Xin Xie, Qinglan Zhang

“…In addition, the model was successfully assimilated into the weather research and forecasting (WRF) model, significantly improving the accuracy of the initial atmospheric field for numerical weather prediction. This study demonstrates the potential of GNSS and surface meteorological data in constructing high-resolution, real-time PWV models. …”
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Electroacupuncture-Regulated miR-34a-3p/PDCD6 Axis Promotes Post-Spinal Cord Injury Recovery in Both In Vitro and In Vivo Settings by Lili Ma, Lizhong Ma, Yu Yang, Ting Chen, Limin Wang, Qilong Deng

“…In our study, based on bioinformatics prediction, we found that miR-34a-3p might be an upstream regulator miRNA for PDCD6, which was subsequently validated through combined utilization of the qRT-PCR, western blot, and dual-luciferase reporter system. …”
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Person Detection for an Orthogonally Placed Monocular Camera by Pavel Skrabanek, Petr Dolezel, Zdenek Nemec, Dominik Stursa

“…Exact numbers of passengers are important in areas such as public transport surveillance, passenger flow prediction, transport planning, and transport vehicle load monitoring. …”
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Comparison of Simulation- and Regression-Based Approaches to Estimating Electric Car Power Consumption by Emil Nagy, Árpád Török

“…The estimation of consumption data for these vehicles is still based on traditional techniques, namely, prediction from historical operation data. To overcome this problem, in this article, we have constructed a multi-element, model-based simulation for the purpose of implementing an energy consumption monitoring system. …”
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Action potential-like modes as modulated waves in an extended soliton model for biomembranes and nerves by J. A. Onana Inouga, S. E. Mkam Tchouobiap, M. Siewe Siewe, F. M. Moukam Kakmeni

“…Furthermore, a numerical analysis is performed, and consistent agreement with the analytical prediction is achieved, confirming a localized typical longitudinal single pulse-like solitary wave solution for the extended soliton model. …”
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Evaluating the resilience of the drug supply chain based on SWARA and CoCoSo multi criteria decision making approach with type 1 and interval type 2 fuzzy data (case study: Bojnord... by Fatemeh Bahman, Alireza Shahraki, Sayyid Ali Banihashemi

“…Due to linguistic uncertainty, the weighting of the criteria was done with the fuzzy SWARA decision-making method and the ranking of the options for more accurate evaluation was performed by the interval type-2 fuzzy CoCoSo method in Excel software.Findings: The identified criteria in order of importance are knowledge management, agility, readiness and prediction, management method, supply chain design and structure, visibility and control, adaptability, collaboration, complementarity, innovation, complexity management, flexibility, uncertainty in the number of changes, and integration. …”
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Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks by Sharanjit Singh, Harish Chandra Arora, Aman Kumar, Nishant Raj Kapoor, Kennedy C. Onyelowe, Krishna Kumar, Hardeep Singh Rai

“…ML-based prediction models are the modern solution to these problems. …”
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Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques:... by M. E. Alqaysi, A. S. Albahri, Rula A. Hamid

“…This category contains a subsection that consists of three categories: (a) early diagnosis of ASD towards analysis, (b) diagnosis of ASD towards prediction, and (c) diagnosis of ASD based on resampling techniques. …”
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Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US by Wenjin Hao, Andrea Cominola, Andrea Castelletti

“…Our model achieves an average R2 higher than 0.8 for one‐month‐ahead prediction of water demand across various cities, leveraging the Granger causal relationships in different spatial contexts. …”
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Genome-wide association study of the fatty liver index in the Taiwanese population reveals shared and population-specific genetic risk factors across ethnicities by Pei Pei Lau, Chun-Yu Wei, Min-Rou Lin, Wan-Hsuan Chou, Yu-Jui Yvonne Wan, Wei-Chiao Chang

“…These findings support the utility of the FLI for FLD prediction, provide new genetic insights, and reveal the common genetic pathways of FLD across two ethnic groups. …”
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Simulation of Daily Rainfall from Concurrent Meteorological Parameters over Core Monsoon Region of India: A Novel Approach by Utpal Misra, Atri Deshamukhya, Sanjay Sharma, Srimanta Pal

“…Nevertheless, the present approach can also be used for multistep prediction of rainfall.…”
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Disastrous Mechanism of Water Discharge in Abandoned Gob above the Stope in Mining Extra-Thick Coal Seam by Haixiao Lin, Feng Yang, Zhengzheng Cao, Yue Wang, Xiaojian Jiao

“…The research results provide a guided reference for the prediction and prevention of water discharge disaster in an abandoned gob above the stope in a mining extra-thick coal seam.…”
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Multiobjective Optimization of Surface Roughness and Tool Wear in High-Speed Milling of AA6061 by Machine Learning and NSGA-II by Anh-Tu Nguyen, Van-Hai Nguyen, Tien-Thinh Le, Nhu-Tung Nguyen

“…This work addresses the prediction and optimization of average surface roughness (Ra) and maximum flank wear (Vbmax) of 6061 aluminum alloy during high-speed milling. …”
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