Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…Disaster prediction systems enable authorities and communities to identify and understand the risks associated with various natural and man-made disasters. …”
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An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting by Lizhi Tao, Yueming Nan, Zhichao Cui, Lei Wang, Dong Yang

“…The proposed model introduces Bayesian inference into a gated recurrent unit (GRU) to quantify the uncertainty of streamflow prediction, and uses SHapley Additive exPlanations (SHAP) method to analyze the importance of hydrometeorological indices on streamflow prediction. …”
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Quantifying the Location Error of Precipitation Nowcasts by Arthur Costa Tomaz de Souza, Georgy Ayzel, Maik Heistermann

“…The total error of such a prediction consists of an error in the predicted location of a precipitation feature and an error in the change of precipitation intensity over lead time. …”
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A comparative study on different machine learning approaches with periodic items for the forecasting of GPS satellites clock bias by Longjiang Song, Jiahao Liu, Leilei Wang, Ziyi Wang, Yibo Yuan

“…Abstract Accurately predicting satellite clock deviation is crucial for improving real-time location accuracy in a GPS navigation system. …”
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Forecasting Return Volatility of the CSI 300 Index Using the Stochastic Volatility Model with Continuous Volatility and Jumps by Xu Gong, Zhifang He, Pu Li, Ning Zhu

“…We also comparatively analyze these three models' prediction accuracy by using the loss functions and SPA test. …”
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Nondestructive Detection of Authenticity of Thai Jasmine Rice Using Multispectral Imaging by Wei Liu, Xue Xu, Changhong Liu, Lei Zheng

“…For the quantitative prediction of adulteration proportion experiments, the results showed that, among the different chemometric methods, LS-SVM achieved the best prediction performance comparing the results of coefficient of determination, root-mean-square error (RMSEP), bias, and residual predictive deviation (RPD). …”
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A Roadway Safety Sustainable Approach: Modeling for Real-Time Traffic Crash with Limited Data and Its Reliability Verification by Zhenzhou Yuan, Kun He, Yang Yang

“…In addition, Bayesian updating method can improve the prediction performance of the transplanted model.…”
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A parallel spatiotemporal deep learning network for highway traffic flow forecasting by Dongxiao Han, Juan Chen, Jian Sun

“…The parallel-connected structure of convolutional neural network and long short-term memory reflects much powerful performance in traffic flow prediction. To apply the parallel spatiotemporal deep learning network in large dataset prediction, a dataset of Shanghai inner ring elevated road is used to predict 591 sensors in 6 months. …”
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An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival by Sören Schleibaum, Jörg P. Müller, Monika Sester

“…Sustainable concepts for on-demand transportation, such as ridesharing or ridehailing, require advanced technologies and novel dynamic planning and prediction methods. In this paper, we consider the prediction of taxi trip durations, focusing on the problem of the estimated time of arrival (ETA). …”
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Simulation of the Compressive Strength of Cemented Tailing Backfill through the Use of Firefly Algorithm and Random Forest Model by Qi-Ang Wang, Jia Zhang, Jiandong Huang

“…By comparing the predicted and actual results, the reliability and accuracy of the prediction model proposed are confirmed. …”
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Zero-Shot Classification of Art With Large Language Models by Tatsuya Tojima, Mitsuo Yoshida

“…Thus, interest is growing in art price prediction as a tool for assessing the returns and risks of art investments. …”
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International Gold Price Forecast Based on CEEMDAN and Support Vector Regression with Grey Wolf Algorithm by Wanbo Lu, Tingting Qiu, Wenhui Shi, Xiaojun Sun

“…The empirical results show that the proposed model demonstrates the highest prediction ability among all of the investigated models in a comparison of prediction errors with other individual models.…”
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Unsupervised User Similarity Mining in GSM Sensor Networks by Shafqat Ali Shad, Enhong Chen

“…All the mentioned applications are based on mobility profile building and user trend analysis, where mobility profile building is done through significant places extraction, user’s actual movement prediction, and context awareness. However, significant places extraction and user’s actual movement prediction for mobility profile building are a trivial task. …”
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Optical Properties of DMA-π-DCV Derivatives: A Theoretical Inspection under the DFT Microscope by Joaquín Calbo

“…The performance of different density functional rungs was assessed in the prediction of the lowest-lying CT electronic transition. …”
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Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy by Chao Ni, Yun Zhang, Dongyi Wang

“…Masson pine is widely planted in southern China, and moisture content of the pine seedling leaves is an important index for evaluating the vigor of seedlings. For precisely predicting leaf moisture content, near-infrared spectroscopy analysis is applied in the experiment, which is a cost-effective, high-speed, and noninvasive material content prediction tool. …”
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Crowd Density Estimation of Scenic Spots Based on Multifeature Ensemble Learning by Xiaohang Xu, Dongming Zhang, Hong Zheng

“…Then it adopts the first-level SVR model to roughly predict the three features extracted from image blocks, including D-SIFT, ULBP, and GIST, and the prediction results are used as new features for the second-level SVR model for fine prediction. …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

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Time Series Forecasting for Regional Development Composite Index Using Real-Time Floating Population Data by Jungyeol Hong, Jieun Na, Youjeong Kang, Dongho Kim

“…Composite development indices show an exponential movement of major economic indicators to identify and predict the overall trend of the national economy. …”
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A Novel Hybrid Model for Short-Term Wind Speed Forecasting Based on Twice Decomposition, PSR, and IMVO-ELM by Xin Xia, Xiaolu Wang

“…Then the PSR based on C-C method is employed to reconstitute the decomposed signal as the input of the prediction model. Lastly, an improved multiverse optimizer is proposed to improve the stability and efficiency of ELM which is used as prediction model. …”
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Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning by Hong Kai

“…From the perspective of model design and auxiliary information, this paper proposes a tightly coupled fusion model based on deep learning and collaborative filtering to alleviate the problem of poor prediction accuracy due to sparse matrix in the scoring prediction problem. …”
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