Accurate and robust prediction of genetic relationship from whole-genome sequences. by Hong Li, Gustavo Glusman, Chad Huff, Juan Caballero, Jared C Roach

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Enhanced Neutrosophic Set and Machine Learning Approach for Breast Cancer Prediction by Ashika T, Hannah Grace, Nivetha Martin, Florentin Smarandache

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Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC by Jie Zhao, Xiujuan Lei, Fang-Xiang Wu

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Unsupervised Clustering Successfully Predicts Prognosis in NSCLC Brain Metastasis Cohorts by Emre Uysal, Gorkem Durak, Ayse Kotek Sedef, Ulas Bagci, Tanju Berber, Necla Gurdal, Berna Akkus Yildirim

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Prediction of ball-on-plate friction and wear by ANN with data-driven optimization by Alexander Kovalev, Yu Tian, Yonggang Meng

“…After the training procedure, the ANN is capable to predict the contact and hydrodynamic pressure by adapting the output data according to the tribological condition implemented in the optimization algorithm.…”
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Rail Transit Prediction Based on Multi-View Graph Attention Networks by Li Wang, Xin Wang, Jiao Wang

“…With the historical dataset of Beijing rail transit, the experiment proves that the prediction accuracy of the model is generally better than the baseline traffic prediction algorithms.…”
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Comparing Different Machine Learning Techniques in Predicting Diabetes on Early Stage by Shweta Yadu, Rashmi Chandra, Vivek Kumar Sinha

“…The possibility of this disease has been predicted using a variety of methods. To forecast diabetes at an early stage, adequate and clear data on diabetic individuals are needed. …”
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A Symbol Conditional Entropy-Based Method for Incipient Cavitation Prediction in Hydraulic Turbines by Mengge Lv, Feng Li, Yi Wang, Tianzhen Wang, Demba Diallo, Xiaohang Wang

“…The comparison results with different prediction algorithms show that the proposed SCE has excellent trend prediction performance and high precision.…”
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Impact of measurement error on predicting population-based inpatient glucose control by George E Saulnier, Janna C Castro, Curtiss B Cook

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Stackelberg Game Based on Trajectory Prediction for Lane Change in Mixed Traffic by Baichuan Shi, Li Zhai, Chang Liu

“…An improved Stackelberg game model integrates trajectory prediction of human-driven vehicles, while a bi-level optimization algorithm combining model predictive control and genetic algorithms jointly optimizes acceleration sequences and lane-change timing. …”
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Optimized Ensemble Model to Predict the Compatibility of Automobiles With Hybrid Electric Vehicles by Rohit Bajaj, Deepika Sharma, Ruchika Gupta, Shonak Bansal, Payal Patial, Krishna Prakash

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In silico metabolism and toxicity prediction using a knowledge-based approach by Emilio Mateev, Maya Georgieva, Alexandrina Mateeva, Alexander Zlatkov

“…In this study, knowledge-based algorithms were utilized to predict the metabolism and toxicity of a previously identified dual-acting pyrrole-based compound using in silico methods. …”
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EmRep: Energy management relying on state‐of‐charge extrema prediction by Lars Hanschke, Christian Renner

“…Considering multiple user‐defined utility profiles, the benefits of EmRep in combination with a variety of prediction algorithms, time resolutions, and energy storage sizes are showcased. …”
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Analysis and Prediction of Energy Consumption Data, Using Data Mining Software by KAZOLIS Dimitrios, FANTIDIS Jacob, FOTAKIS Christos Dionyshs, TRAMANTZAS Kostantinos, TSIANTOS Vassilios

“…This paper explores the ability of prediction in electricity consumption using data mining techniques and emphasizes the integration of weather conditions and previous consumption trends. …”
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Improved phase prediction of high-entropy alloys assisted by imbalance learning by Libin Zhang, Chang-Seok Oh, Yoon Suk Choi

“…Herein, machine learning and imbalance learning algorithms were combined together to improve the phase prediction of HEAs. …”
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Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data by A. Gaspar-Cunha, G. Recio, L. Costa, C. Estébanez

“…In turn, making an estimation of the credit risks associated with counterparts or predicting bankruptcy becomes harder. Evolutionary algorithms have shown to be an excellent tool to deal with complex problems in finances and economics where a large number of irrelevant features are involved. …”
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NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION by Özkan Özdemir

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Load-Balanced Dynamic SFC Migration Based on Resource Demand Prediction by Tian Sun, Hefei Hu, Sirui Zhang

“…Therefore, we propose the Resource Predictive Load Balancing SFC Migration (RP-LBM) algorithm in this paper. …”
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Industrial-scale prediction of cement clinker phases using machine learning by Sheikh Junaid Fayaz, Néstor Montiel-Bohórquez, Shashank Bishnoi, Matteo Romano, Manuele Gatti, N. M. Anoop Krishnan

“…Traditional models, limited to steady-state conditions, lack predictive accuracy for clinker mineralogical phases. …”
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Intelligent Stroke Disease Prediction Model Using Deep Learning Approaches by Chunhua Gao, Hui Wang

“…Further ablation experiments also show that the designed prediction model has certain robustness and can effectively predict stroke diseases.…”
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