Research on Active Anti-collision Method of Unmanned Mine Truck Based on Predicted Trajectory by LI Cheng, ZHANG Qian, WANG Bin

“…Then, collision prediction is made on the predicted trajectory, and the OBB (oriented bounding box) collision detection method is used to find the nearest vehicle according to the current position of the vehicle. …”
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Predicting electromagnetically induced transparency based cold atomic engines using deep learning by Manash Jyoti Sarmah, Himangshu Prabal Goswami

“…We develop an artificial neural network model to predict quantum heat engines working within the experimentally realized framework of electromagnetically induced transparency. …”
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Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions by Eliza Fragkopoulou, Ester A. Serrão, Olivier De Clerck, Jorge Assis

“…Here, we explain and predict the genetic diversity of cold and temperate brown macroalgae using genetic data from 29 species and a machine-learning algorithm that incorporates contemporary and past climate conditions during the Last Glacial Maximum (~20,000 years ago) based on the niche centroid hypothesis. …”
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Conjugate Cellular Automata and Neural Network Approach: Failure Load Prediction of Masonry Panels by Iuliia Glushakova, Qihan Liu, Yu Zhang, Guangchun Zhou

“…The NN uses a backpropagation algorithm and two hidden layers with sigmoid activation functions to predict failure loads. …”
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Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series by Ghassane Benrhmach, Khalil Namir, Abdelwahed Namir, Jamal Bouyaghroumni

“…We examine the use of the nonlinear autoregressive neural network method as a prediction technique for financial time series and the application of the extended Kalman filter algorithm to improve the accuracy of the model. …”
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Forecasting CO2 emissions in BRICS countries using the grey breakpoint prediction models by Huiping Wang, Xinge Guo

“…Abstract In this paper, three novel grey breakpoint prediction models are proposed based on calculating the development coefficient and grey action of grey prediction models after fuzzy breakpoints, unifying the calculation methods for parameter estimation and the relevant time-response equations, and using the particle swarm optimisation algorithm to optimise the two-stage background values. …”
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PREDICTING STUNTING IN TODDLERS IN WEST JAVA USING LINEAR REGRESSION BASED ON POVERTY LEVELS by Nabila Aulia Rahmah, Nabila Khairunisa, Naufal Ammar Hidayatulloh, Ultach Enri

“…The aim of this research is to use the linear regression method based on the proportion of poverty to predict the risk of stunting in children under five in West Java. …”
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Best practices in the laboratory diagnosis, prognostication, prediction, and monitoring of Graves’ disease: role of TRAbs by Sanjay Kalra, Shahjada Selim, Dina Shrestha, Noel Somasundaram, Syed Abbas Raza, Manash P. Baruah, Saptarshi Bhattacharya, Sharvil Gadve, Ganapathi Bantwal, Rakesh Sahay

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Accuracy Assessment of Tomato Harvest Working Time Predictions from Panoramic Cultivation Images by Hiroki Naito, Tomohiko Ota, Kota Shimomoto, Fumiki Hosoi, Tokihiro Fukatsu

“…The system integrates a deep learning model, the Mask ResNet-50 convolutional neural network, to count harvestable fruits from images and a predictive algorithm to estimate working time based on the fruit count. …”
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PICNIC accurately predicts condensate-forming proteins regardless of their structural disorder across organisms by Anna Hadarovich, Hari Raj Singh, Soumyadeep Ghosh, Maxim Scheremetjew, Nadia Rostam, Anthony A. Hyman, Agnes Toth-Petroczy

“…PICNIC successfully predicts condensate members by learning amino acid patterns in the protein sequence and structure in addition to the intrinsic disorder. …”
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Predicting shear capacity of Recycled Aggregate Concrete beams using Artificial Neural Network by Ha HOANG, Tuan-Dung PHAM, Xuan-Tung NGUYEN, Minh Van NGO

“…This study investigates the application of an Artificial Neural Network (ANNs) utilizing a Multi-Layer Perceptron (MLP) architecture to predict the shear capacity of Recycled Aggregate Concrete (RAC) beams. …”
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Remaining Useful Life Prediction of Aero-Engine Based on Improved GWO and 1DCNN by Lihua Shen, Yucheng Wang, Baorui Du, Hailong Yang, He Fan

“…To mitigate the local optimum entrapment inherent in deep learning hyperparameter optimization, an improved Gray Wolf Optimizer incorporating dynamic perturbation factors is proposed. This algorithm is subsequently deployed to optimize hyperparameters within the redesigned predictive architecture. …”
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Traffic Conflict Prediction for Sharp Turns on Mountain Roads Based on Driver Behavior Patterns by Quanchen Zhou, Jiabao Zuo, Yafei Zhao, Mingwu Ren

“…The findings showed that unsafe driver behavior on sharp turns was common, while the combination of “speeding–tailgating–frequent lane changing” behavior increased conflict risk by 3.7 times. A predictive LSTM neural network model was developed with driver, vehicle, road, and environmental factors. …”
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Analysis and Prediction of Thermally Induced Positioning Error in Hydrostatic Lead-Screw Feed Systems by Jun Zha, Xiaofei Peng, Zhiyan Cai, Fei Xue

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A new intelligent time-series prediction technique for coherency identification performance enhancement by MOHD AIFAA MOHD ARIFF, Ainnur F. I. M. Shah, Nadhirah Omar, Muhammad S. A. Mustaza

“…The proposed methodology utilizes the nonlinear autoregressive exogenous neural network (NARX) algorithm to predict the generator speed deviations following a disturbance in the system. …”
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A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function by Yangchao He, Jiong Li, Lei Shao, Chijun Zhou, Xiangwei Bu

“…The results of the simulations demonstrate that the proposed prediction method is capable of accurately inferring the vehicle’s attack intention and parameter model, and of effectively reducing the accumulation of prediction errors and the time required for the algorithmic process compared to existing methods.…”
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Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success by Ofri Bar, Stylianos Vagios, Omer Barkai, Joseph Elshirbini, Irene Souter, Jiawu Xu, Kaitlyn James, Charles Bormann, Makiko Mitsunami, Jorge E. Chavarro, Philipp Foessleitner, Douglas S. Kwon, Moran Yassour, Caroline Mitchell

“…We applied a supervised machine learning algorithm that integrated microbiome and inflammation data to predict pregnancy outcomes. …”
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Prediction of Regional Logistics Heat and Coupling Development between Regional Logistics and Economic Systems by Guojun Yin, Jianhui Peng

“…However, many scholars ignore the difference between prediction methods in terms of attributes and focal points of data analysis during the selection of regional logistics heat prediction model. …”
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Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction by W. G. Jency, J. E. Judith

“…Next, an Attention-based Long Short-Term Memory Wind Prediction algorithm is employed to retain required patterns and forget irrelevant patterns to acquire more satisfactory prediction precision. …”
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A Method to Assess Localized Impact of Better Floodplain Topography on Flood Risk Prediction by Guy J.-P. Schumann, Konstantinos M. Andreadis

“…We propose an analysis based on a targeted observation algorithm to evaluate potential data acquisition subregions in terms of their impact on the prediction of flood risk over the entire study area. …”
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