Research on acoustic emission precursor characteristics of coal sample unloading failure based on discrete wavelet analysis by Shaojie Ma, Yan Zhou, Depeng Ma

“…The results show that the time when the Lipschitz index value first appears α negative can be used as the prediction time. However, the corresponding time when the Lipschitz index value is -0.15~-0.31 should be excluded; The absolute range of the difference between the final forecast time and the actual rupture time of coal samples is [5.2s, 17.1s], and the coal samples with the absolute value of time difference within [5.2s, 10.0s] account for 63.6% of the total.…”
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Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach by Rui Ma, Li Ding, Kailei Liu, Hongtao Wu

“…With the flight experiment data collection and preprocessing, a hybrid identified algorithm combining the improved artificial bee colony algorithm and prediction error method is proposed to obtain the unknown dynamical parameters of the linear model. …”
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Chaos in Inverse Parallel Schemes for Solving Nonlinear Engineering Models by Mudassir Shams, Bruno Carpentieri

“…The development of advanced methods to address them becomes essential for scientific and applied research enhancements, as their resolution influences innovations by aiding in the proper prediction or optimization of the system. In this research, we develop a novel biparametric family of inverse parallel techniques designed to improve stability and accelerate convergence in parallel iterative algorithm. …”
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Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture by Sonali Vyas, Mohammad Shabaz, Prajjawal Pandit, L. Rama Parvathy, Isaac Ofori

“…Integrating these advanced approaches in agriculture is critical for managing food supply chains, drug supply chains, quality maintenance, and intelligent prediction. This study reviews the literature, formulates a research topic, and analyzes the applicability of blockchain to the agriculture/food industry and healthcare, with a particular emphasis on AI and IoT. …”
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Selection of Machine Learning Models for Oil Price Forecasting: Based on the Dual Attributes of Oil by Lei Yan, Yuting Zhu, Haiyan Wang

“…Then, based on the recurrent neural network (RNN) and long-term and short-term memory (LSTM) models, we build eight models for predicting the future and spot prices of international crude oil. …”
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Time-varying channel estimation in reconfigurable intelligent surface assisted communication system by Kai SHAO, Ben LU, Guangyu WANG

“…Aiming at the key problems need to be solved, such as cascade channel sparse representation, time-varying channel parameter tracking and signal reconstruction, for time-varying cascade channels estimation of reconfigurable intelligent surface (RIS) assisted communication system, a Khatri-Rao and hierarchical Bayesian Kalman filter (KR-HBKF) algorithm was proposed.Firstly, the Khatri-Rao product and Kronecker product transformations were used to obtain the sparse representation of RIS cascaded channels based on the sparse characteristics of channels, thus the RIS cascaded channel estimation problem was transformed into a low-dimensional sparse signal recovery problem.Then, according to the state evolution model of RIS cascaded channel, the time correlation parameter was introduced into the prediction model of HBKF algorithm, and the improved HBKF was applied to solve the problem of time-varying channel parameter tracking and signal reconstruction for completing the time-varying cascaded channels estimation.The sparsity and time correlation of the channel were comprehensively considered in the KR-HBKF algorithm, thus better estimation accuracy could be obtained with small pilot overhead.Compared with the traditional compressed sensing algorithm, the simulation results show that the proposed algorithm has about 5 dB estimated performance improvement, and better robustness performance under different time-varying channel conditions.…”
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Modeling a Driver’s Directional and Longitudinal Speed Control Based on Racing Track Features by Jianfeng Wang, Weihua Li, Jun Li, Yiqun Liu, Baoyu Song, Haibo Gao

“…Then, a model controlling the driver directions is built according to the prediction-follower theory with the aim of improving the point search algorithm. …”
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STUDY AND OPTIMIZATION OF PHONONIC CRYSTAL BAND　GAP CHARACTERISTICS CONSIDERING FUZZY VARIABLES by WANG KeYu, HU QiGuo, BAI Xiong, ZHOU XiaoMing, HAO JianXu

“…The Kriging band gap optimization model avoids a large number of numerical calculations and considers the influence of fuzzy variables. It has high prediction accuracy and reliability, which provides a new research idea for the design of phononic crystals.…”
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Calibration and Algorithm Development for Estimation of Nitrogen in Wheat Crop Using Tractor Mounted N-Sensor by Manjeet Singh, Rajneesh Kumar, Ankit Sharma, Bhupinder Singh, S. K. Thind

“…The experiment was planned to investigate the tractor mounted N-sensor (Make Yara International) to predict nitrogen (N) for wheat crop under different nitrogen levels. …”
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Researching on insulator defect recognition based on context cluster CenterNet++ by Bo Meng

“…The cluster region is used to identify and predict the location of the target, and the improved loss function is used to modify the cluster center. …”
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Richards equation for the assessment of landslide hazards by Ramesh Chandra Timsina

“…A hydrological model of innite slope stability is adopted to the solution of axi symmetrical form of Richards equation to nd the factor of safety, which helps to locate the potential landslide area in geological surface. Also, prediction of landslide can be made depending on the physical, geological, and topographical structure of the landscape. …”
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Target Tracking and 3D Trajectory Reconstruction Based on Multicamera Calibration by Junfang Song, Yao Fan, Huansheng Song, Haili Zhao

“…Cross-camera association of vehicle trajectories in multiple cameras can break the isolation of target information between single cameras and obtain the overall road operation conditions in a large-scale video surveillance area, which helps road traffic managers to conduct traffic analysis, prediction, and control. Based on the framework of DBT automatic target detection, this paper proposes a cross-camera vehicle trajectory correlation matching method based on the Euclidean distance metric correlation of trajectory points. …”
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Genetic Mechanism of Lower-Order Faults in Shale Formations in Rift Basins by Haimeng Yang, Xuepeng Wu, Jingshou Liu, Caifu Hu

“…Therefore, it is necessary to predict the development law of faults in combination with the paleostress field during the fault formation period to improve the accuracy of fault seismic interpretation. …”
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A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring by Mubaris Nadeem, Sascha Kostic, Mareike Dornhöfer, Christian Weber, Madjid Fathi

“…The availability of new data sources raises the potential for developing structured approaches for prediction and analysis. Similarly, in the field of medicine and digital healthcare, the collection of patient-focused data is rising. …”
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Features Extraction of Flotation Froth Images and BP Neural Network Soft-Sensor Model of Concentrate Grade Optimized by Shuffled Cuckoo Searching Algorithm by Jie-sheng Wang, Shuang Han, Na-na Shen, Shu-xia Li

“…Simulation results show that the model has better generalization results and prediction accuracy.…”
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Finite Element (FE) Modeling of Indirect Tension to Cylindrical (IT-CY) Specimen Test for Damping Asphalt Mixtures (DAMs) by Jiandong Huang, Tianhong Duan, Yuantian Sun, Lin Wang, Yawei Lei

“…Good agreements were noted between the simulation results and testing results demonstrating that the FE model can provide the accurate prediction of the mechanical behavior of DAMs.…”
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Dual-proxy estimation of Vs30: the case study of the Marche Region (central Italy) by Veronica Gironelli, Tiziano Volatili, Lucia Luzi, Giulio Brunelli, Emanuele Tondi

“…The resulting Vs30 raster map illustrates the spatial distribution of shear-wave velocities across the region, offering a representation of the subsurface seismic characteristics essential for various applications, including local seismic hazard assessment, prediction of seismic ground motion parameters, microzonation mapping, real-time shakemap generation, and seismic design of engineering structures.…”
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Review of the matched asymptotic approach of the coupled criterion by Jiménez-Alfaro, Sara, García, Israel García, Doitrand, Aurélien

“…This method can be seamlessly integrated with the Coupled Criterion (CC), which enables the prediction of crack nucleation and propagation in brittle materials. …”
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A Framework to Estimate Local Atmospheric Densities With Reduced Drag‐Coefficient Biases by Vishal Ray, Daniel J. Scheeres, Suood Alnaqbi, W. Kent Tobiska, Siamak G. Hesar

“…Abstract An accurate estimation of upper atmospheric densities is crucial for precise orbit determination (POD), prediction of low Earth orbit satellites, and scientific studies of the Earth's atmosphere. …”
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Fermion masses, neutrino mixing and Higgs-mediated flavor violation in 3HDM with S 3 permutation symmetry by K. S. Babu, Yongcheng Wu, Shiyuan Xu

“…Both normal ordering and inverted ordering of neutrino masses are found to be admissible within the framework, with a prediction for the CP-violation phase, δ CP ≃ 120°. …”
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