Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method by Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

“…Then it is compared against other models utilizing similar day selection methods and other hybrid HWGC-BP, HWGC-Elman, HWGC-SVM, HWGC-RF, and HWGC-LSTM models. …”
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Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing by Umesh Kumar Lilhore, Sarita Simaiya, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Yogesh Kumar Sharma, Roobaea Alroobaea, Hamed Alsufyani, Majed Alsafyani, M. D. Monish Khan

“…Abstract The growing complexity of cloud computing necessitates astute workload allocation and adaptive resource management to enhance performance while minimizing expenses and energy consumption. …”
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Time lag effect of precipitation on groundwater level based on wavelet analysis in the People’s Victory Canal irrigation area, China by Zhongpei Liu, Xiaoqing Li, Zhipeng Hu, Runxiang Cao, Yuping Han, Lin Wu

“…It uses methods such as continuous wavelet transform, cross-wavelet transform, and cross-correlation analysis to systematically analyze the lag effect and its changing patterns of groundwater table depth in response to precipitation at different time scales. …”
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Trends and periodicities in Krishna Basin rainfall/extremes found via hierarchical analysis by Gaurav Pakhale, Rakesh Khosa, A.K. Gosain

“…This study examines trends in long-term rainfall and extreme event indices in the Krishna River Basin (KRB) using Indian Meteorological Department (IMD) 0.25° resolution daily precipitation data from 1951 to 2019. Methods include the Mann–Kendall trend test, Innovative Trend Analysis (ITA), Hurst's Rescaled Range (He) Analysis, and Wavelets.The results show variations in rainfall and extreme event patterns across KRB subsystems. …”
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Dual PHY Layer for Non-Orthogonal Multiple Access Transceiver in 5G Networks by Sobia Baig, Muneeb Ahmad, Hafiz Muhammad Asif, Muhammad Naeem Shehzad, Mujtaba Hussain Jaffery

“…OFDM technique based on wavelet filter banks, namely wavelet OFDM (WOFDM) has been utilized in digital communication to improve the system robustness to noise and adjacent channel interference, and is therefore anticipated to be adopted for the NOMA technique. …”
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Post-disaster building damage assessment based on gated adaptive multi-scale spatial-frequency fusion network by Bo Yu, Yao Sun, Jiansong Hu, Fang Chen, Lei Wang

“…GAMSF integrates three key innovations: (1) Adaptive Attention (AA) to dynamically prioritize critical regions, (2) Gated Multi-scale Feed-Forward Network (GMFFN) to enhance robustness by emphasizing prominent damage features, and (3) Multi-Scale Wavelet Fusion (MWF) to extract fine-grained structural details using wavelet transforms. …”
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Spatiotemporal Demand Prediction for Bike Sharing Based on WT-ConvLSTM by Wenyun Tang, Chenyang Yang, Hanbing Wang, Jie Huang, Gen Li

“…The MSE values for the proposed model under both the 10-fold CV and regular validation methods were 0.002 and 0.003, respectively. Overall, the WT-ConvLSTM model enhances spatiotemporal prediction accuracy for bike-sharing demand, offering valuable insights for resource allocation and management strategies in bike-sharing systems.…”
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Classification Using Artificial Neural Network of Knot Images on Wood by İbrahim Çetiner

“…Haar, Daubechies, Bior, Coif, Symlet type wavelet methods in feature extraction are used and effects on their classification are determined. …”
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Spatiotemporal patterns of wet–dry encounters between water source and receiving areas in the South-to-North water transfer project by Yuping Han, Jinhang Li, Mengdie Zhao

“…Abstract As global water scarcity becomes more acute, cross-basin water diversion projects, such as the South-to-North Water Diversion Project in China, need scientific risk assessment methods to ensure sustainable water allocation. This study proposes a coupling analysis framework based on Copula-Bayesian, which fills the gap in the systematic risk research of large-scale water transfer projects. …”
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Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics by Lorenzo Fantechi, Federico Barbarossa, Sara Cecchini, Lorenzo Zoppi, Giulio Amabili, Mirko Di Rosa, Enrico Paci, Daniela Fornarelli, Anna Rita Bonfigli, Fabrizia Lattanzio, Elvira Maranesi, Roberta Bevilacqua

“…After an isotropic voxel resampling and wavelet and Laplacian of Gaussian filtering, 92 intensity and texture radiomics features were extracted. …”
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Trends and factors influencing over-the-counter cold and cough medication sales in Guangzhou, China: 2011–2017 by Jian Chen, Daoze Wang, Jialu Zheng, Bing Zhang, Yilin Chen, Haoyu Long, Jinfeng Zeng, Zicheng Cao, Wenjie Han, Gang Wang, Xue Zhang, Jianyun Lu, Zhoubin Zhang, Xiangjun Du

“…We explored the association between OTCCM% and meteorological, infectious disease, and population movement factors using wavelet coherence and cross-correlation analysis. …”
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Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

“…Objective A stacking ensemble prediction model based on long short-term memory (LSTM) and support vector regression (SVR) is proposed to address the issue of shield attitude deviation from the tunnel design axis.Methods The grey correlation analysis was employed to remove the rolling angle parameters with low grey correlation and then denoise them using discrete wavelet transform (DWT). …”
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Dynamic hierarchy resource management for heterogeneous cognitive network by Juan WEN, Min SHENG, Yan ZHANG

“…A dynamic hierarchy resource management approach-DHRM based on intelligent prediction was proposed for heterogeneous cognitive network.In DHRM,according to different time scale,the method of wavelet neural network,wiener prediction and reinforcement learning were brought to get the variation of traffic d ion,the resource requirement of the handover calls,and the information of users’preferences,and available hierarchical resources of all networks were allocated flexibly.Multi-attribute decision making method,based on network status and user preference was used to make decision to dynamically assign network traffic flow to the most appropriate network.Simulation results show that,the system capacity is improved about 20% by DHRM compared with the other joint radio resource management algorithms.…”
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