Evaluating Proton Intensities for the SMILE Mission by Simon Mischel, Elena A. Kronberg, C. P. Escoubet

“…Abstract This study introduces five linear regression models developed to accurately predict proton intensities in the critical energy range of 92.2–159.7 keV. …”
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IMPLEMENTATION OF GENOME-WIDE SELECTION IN WHEAT by G. Charmet, E. Storlie

“…In such conditions, uncharacterized markers can be used to predict the breeding value of a trait without referring to actual QTLs. …”
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Failure Mechanism of Anchored Rock under Constant Resistance Values of Cable Based on Particle Flow Code by Xiaoming Sun, Li Cui, Yong Zhang, Zuoxun Jiang, Lei Wang

“…The research results provide a reference for the design of a CRV and collapse prediction of the anchored surrounding rock.…”
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Statistical Downscaling of ERA-Interim Forecast Precipitation Data in Complex Terrain Using LASSO Algorithm by Lu Gao, Karsten Schulz, Matthias Bernhardt

“…Compared to other three downscaling methods, LASSO shows the best performances in precipitation occurrence and precipitation amount prediction on average. Furthermore, LASSO could reduce the error for certain sites, where no improvement could be seen when LOCI and QM were used. …”
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Graph-based two-level indicator system construction method for smart city information security risk assessment by Li Yang, Kai Zou, Yuxuan Zou

“…For the simulation of risk level prediction, we compared our method with some machine learning algorithms, such as ridge regression, Lasso regression, support vector regression, decision trees, and multi-layer perceptron. …”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…Because of the privacy concerns about the transaction data, it is essential not to leak it when training prediction models for credit card fraud analysis. Challenges for credit card fraud monitoring include highly imbalanced datasets and the need for advanced models to detect fraud patterns. …”
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The correlation between on-farm biosecurity and animal welfare indices in large-scale turkey production by László Kovács, Christopher René Klaucke, Máté Farkas, Mikolt Bakony, Viktor Jurkovich, László Könyves

“…The association between biosecurity and welfare indicators was investigated by correlation testing and prediction accuracy using random forest classification. …”
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Acoustic Echo Cancellation Embedded in Smart Transcoding Algorithm between 3GPP AMR-NB Modes by Emmanuel Rossignol Thepie Fapi, Dominique Pastor, Christophe Beaugeant, Hervé Taddei

“…We propose in this paper a coded domain AEC integrated in a smart transcoding strategy which directly modifies the Code Excited Linear Prediction (CELP) parameters. The proposed system addresses simultaneously problems due to network interoperability and network voice quality enhancement. …”
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Optimization of Mix Proportions for Novel Dry Stack Interlocking Concrete Blocks Using ANN by Krishna Prakash A, Jane Helena H, Paul Oluwaseun Awoyera

“…In the second phase, the identified mix proportions were analysed using ANN to predict the compressive strength of interlocking blocks. …”
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Self- versus clinician-collected swabs in anal cancer screening: A clinical trial. by Clare E F Dyer, Fengyi Jin, Jennifer M Roberts, I Mary Poynten, Annabelle Farnsworth, Leon P McNally, Philip H Cunningham, Andrew E Grulich, Richard J Hillman

“…Concordance for cytologic prediction was 88.2% for any cytologic abnormality. …”
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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments by Jacob Wekalao, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-zahrani

“…The integration of LWLR-based optimization protocols substantially enhances prediction accuracy while reducing computational time by ≥ 85% as well as cutting down the required resources. …”
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Buildings, Causalities, and Injuries Innovative Fuzzy Damage Model during Earthquakes by Mohammad Reza Amiri Shahmirani, Abbas Akbarpour Nikghalb Rashti, Mohammad Reza Adib Ramezani, Emadaldin Mohammadi Golafshani

“…One of the human concerns has always been to estimate the damage caused before the earthquake and predict the extent of injuries and causalities. An effective model should be developed based on the field survey data for appropriate prediction. …”
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Public-Transportation-Assisted Data Delivery Scheme in Vehicular Delay Tolerant Networks by Yong Feng, Ke Liu, Qian Qian, Feng Wang, Xiaodong Fu

“…In this paper, we firstly present a destination-gathering-based driving path prediction method for taxis, which can make taxis' driving paths prescient in the initial stage of carrying passengers every time. …”
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5-DOF Dynamic Modeling of Rolling Bearing with Local Defect considering Comprehensive Stiffness under Isothermal Elastohydrodynamic Lubrication by Pengfei Yan, Changfeng Yan, Kai Wang, Fengtao Wang, Lixiao Wu

“…This model is helpful for the optimization, the correct use of lubricants, and life prediction of rolling bearing.…”
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Research status and development trends of dust concentration monitoring technology by ZHANG Yongqi, WANG Jie, ZHOU Yuhao, YANG Junni, DENG Bin

“…It is proposed that future efforts should be dedicated to integrating dust concentration monitoring technologies with emerging technologies such as machine learning, deep learning, computer vision, and big data analysis and prediction. This integration will facilitate the integration and application of intelligent detection technologies with dust-related occupational hazard monitoring and early warning systems and provide reference for intelligent and automated dust control in future industrial scenarios.…”
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Quantitative Characterization Model of Macroscopic Mechanical Properties of Recycled Concrete Based on Porosity and Pore Sizes by Haiyu Chen, Fuwei Xu

“…In comparison to existing models of the strength-pore structure, the established quantitative characterization model provided a more precise depiction of the relationship of the macroscopic mechanical properties of the recycled concrete between porosity and pore sizes, resulting in enhanced accuracy in prediction outcomes.…”
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Floor Disturbance and Failure Characteristics of Super-Large Mining Height Working Face by Cunjin Lu, Jinpeng Xu, Hui Zhao, Heng Zhang, Yian Zhang, Mingyue Chen

“…The failure depth of the working face floor caused by mining is a key parameter to predict water inrush from the working face floor. …”
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Schwinger-Type Pair Production in Non-SUSY AdS/CFT by Udit Narayan Chowdhury

“…From the later investigation, we note the resemblance with our earlier prediction. However, we also see that for and below another certain value of the parameter δ, the pair production rate of particle/antiparticle pairs blows up as the external electric field is taken to zero. …”
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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

“…Recently, applications of Internet of Things create enormous volumes of data, which are available for classification and prediction. Classification of big data needs an effective and efficient metaheuristic search algorithm to find the optimal feature subset. …”
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Preparation and Characterization of Chitosan/Feldspar Biohybrid as an Adsorbent: Optimization of Adsorption Process via Response Surface Modeling by Maryam Yazdani, Hajir Bahrami, Mokhtar Arami

“…The adequacy of the model was investigated by the correlation between experimental and predicted data of the adsorption and the calculation of prediction errors. …”
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