Power Generation Prediction Method of Offshore Wind Turbines Based on Cascaded Deep Learning by Zhen’ao Sun, Zhe Chen

“…The layer-by-layer greedy algorithm is used for training from bottom to top, and supervised learning is used to fine-tune the network parameters from top to bottom to realize the generation power prediction of the offshore wind turbine. …”
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SYNTHESIS OF ECONOMETRIC AND NEURAL NETWORK MODELS FOR INDICATORS PREDICTION IN RESEARCH AND INNOVATION IN THE RUSSIAN FEDERATION by I. Kolmakov, M. Domozhakov

“…The article considers general methodology and architecture of hybrid system models for prediction of economic indicators and its implementation in the form of an integrated information system on the example of research and innovation indicators of the Russian economy. …”
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Applying Machine Learning to Predict Intercity Bus Ticket Prices During the Holiday Season by Rifandi Almanda, Tety Elida

“…It was then implemented in a web-based interface using Flask and ASP.NET to compare actual ticket prices with predicted prices.…”
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Online Optimization of Collaborative Web Service QoS Prediction Based on Approximate Dynamic Programming by Xiong Luo, Hao Luo, Xiaohui Chang

“…Unlike the traditional QoS prediction approaches, our algorithm in this paper is realized by incorporating approximate dynamic programming- (ADP-) based online parameter tuning strategy into the QoS prediction approach. …”
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Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction by Zhichao Cao, Zhiwei Zhu, Weike Lu, Silin Zhang

“…In particular, a hybrid demand prediction model, combining long short-term memory and multi-scale network techniques, predicts spot and contract container volumes at ports, facilitating real-time allocation and more precise scheduling optimization. …”
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Optimization Method for the PVB Resin Process Parameters Based on the Quality Index Prediction Model by Tongming Xu, Haiming Zhang, Bozhao Li, Guobo Zhao, Haiyang Lu, Weilong Li, Siyuan Wang, Zhaoran Shen

“…Then, based on the constructed quality index prediction model, an optimization method for the PVB resin process parameters is developed using the nondominated sorting genetic algorithm II (NSGA-II). …”
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Safe Path Planning Method Based on Collision Prediction for Robotic Roadheader in Narrow Tunnels by Chao Zhang, Xuhui Zhang, Wenjuan Yang, Guangming Zhang, Jicheng Wan, Mengyu Lei, Zheng Dong

“…By utilizing tunnel design information, a composite potential field model is created for both obstacles and the roadheader, enabling real-time collision forecasting. The A* algorithm is modified to incorporate the robot’s motion constraints, using a segmented weighted heuristic function based on collision predictions. …”
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Predicting neuronal firing from calcium imaging using a control theoretic approach. by Nicholas A Rondoni, Fan Lu, Daniel B Turner-Evans, Marcella Gomez

“…This framework utilizes model predictive control (MPC) to challenge state-of-the-art correlation scores while retaining interpretability. …”
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Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine by Hong Yang, Lipeng Gao, Guohui Li

“…To solve the problem of K value selection in variational mode decomposition, a new K value selection method MVMD is proposed from the perspective of mutual information, which avoids the blindness of variational mode decomposition (VMD) in the preset modal number. Based on the prediction model of kernel extreme learning machine (KELM), this paper uses grey wolf optimization (GWO) algorithm to optimize and select its regularization parameters and kernel parameters and proposes an optimized kernel extreme learning machine OKELM. …”
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Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model by Xuanchen Wan, Mengxue Dong, Maosen Xu, Chuanhao Fan, Jiegang Mou, Shuai Han

“…The CFD-DEM method was used to simulate the solid–liquid two-phase flow in the jet pump, comparing six erosion models for predicting erosion rates. The Grey Wolf Optimization algorithm was applied to calibrate model coefficients. …”
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Research on Cumulative Damage Model of Transmission Tower Based on Typhoon Path Prediction Information by Yi TANG, Xiangxiang XU, Bin CHEN, Tao YI

“…In order to assist the electric power department to accurately predict the risk of tower collapse and deploy anti-typhoon materials in advance, a cumulative damage model of transmission tower is established based on typhoon path prediction information. …”
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Simulation and Prediction of Springback in Sheet Metal Bending Process Based on Embedded Control System by Jinhan Xu, Jun Yan, Yan Huang, Dawei Ding

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Optimal design and performance prediction of stepped honeycomb labyrinth seal using CFD and ANN by Geunseo Park, Min Seok Hur, Tong Seop Kim

“…An ANN-based performance prediction metamodel was developed, and a genetic algorithm was applied to the metamodel to optimize seal geometry, achieving a 12.34% improvement in leakage performance over the reference seal. …”
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Prediction of Grain Yield in Henan Province Based on Grey BP Neural Network Model by Bingjun Li, Yifan Zhang, Shuhua Zhang, Wenyan Li

“…The predicted values from the metabolic GM (1, 1) model for key variables was used as input to the best BPNN model for prediction modeling, and a grey BP neural network model prediction model (GR-BPNN) was proposed. …”
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Quantum Perceptron: A Novel Approach to Predicting Unemployment Levels in North Sumatra Province by Solikhun, Dimas Trianda

“…The application of Quantum Computing to improve the perceptron algorithm in unemployment prediction is a new aspect of this research. …”
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Adaptive Extended Kalman Prediction-Based SDN-FANET Segmented Hybrid Routing Scheme by Ke Sun, Mingyong Liu, Chuan Yin, Qian Wang

“…Further, to reduce the packet loss rate in high-speed motion scenes, an adaptive extended Kalman prediction algorithm is also proposed to track and predict the 3D movement of UAVs. …”
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Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“… This research dealt with the analysis of murder crime data in Iraq in its temporal and spatial dimensions, then it focused on building a new model with an algorithm that combines the characteristics associated with time and spatial series so that this model can predict more accurately than other models by comparing them with this model, which we called the Combined Regression model (CR), which consists of merging two models, the time series regression model with the spatial regression model, and making them one model that can analyze data in its temporal and spatial dimensions. …”
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Study of rectangular fin heat sink performance and prediction based on artificial neural network by Zheng Lan, Yu-hao Feng, Ying-wen Liu

“…Furthermore, a multi-layer feedforward neural network based on a genetic algorithm (GA-BP) is employed to predict both Nusselt number and friction factor; subsequently evaluating these predicted results. …”
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EUR Prediction for Shale Gas Wells Based on the ROA-CatBoost-AM Model by Weikang He, Xizhe Li, Yujin Wan, Honming Zhan, Nan Wan, Sijie He, Yaoqiang Lin, Longyi Wang, Wenxuan Yu, Liqing Chen

“…To address the challenges in accurately predicting shale gas EUR, this study analyzed production data from 200 wells in the CN block. …”
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Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer by Qiying Song, Shihe Liu, Di Wu, Aizhen Cai

“…By integrating PCDS with clinical characteristics, we constructed and validated a nomogram that demonstrated robust predictive performance.ResultsWe screened nine PCD-related genes (SERPINE1, PLPPR4, CDO1, MID2, NOX4, DYNC1I1, PDK4, MYB, TUBB2A) to create the PCDS. …”
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