State Identification of Charging Module Based on SN‐EMD‐SSEE and DBO‐HKELM by Bingyu Li, Xianhai Pang, Xuhao Du, Ziwen Cai

“…To address this issue, this paper improved a new state identification method of charging module based on signal normalization (SN) which is specially designed, empirical mode decomposition (EMD), sequence signal entropy extraction (SSEE), hybrid kernel extreme learning machine (HKELM), and dung beetle optimization (DBO). …”
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A novel approach to retrieving the surface soil freeze/thaw state in the Qinghai-Tibetan Plateau using the seasonality of CYGNSS time series by Qi Liu, Shuangcheng Zhang, Zhongmin Ma, Xin Zhou, Tao Wang

“…This study presents a Seasonal-Trend Decomposition using Loess and Long Short-Term Memory (STL-LSTM) method to detect spatiotemporal variations in soil F/T on the QTP using time series data from the Cyclone Global Navigation Satellite System (CYGNSS). …”
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Research on Deep Integration of the “Belt and Road” Aviation Network Based on Community Structure from the Perspective of China by Hongguang Yao, Huihui Xiao

“…The key node identification model in the community is constructed, the hierarchy of each community network is analyzed using the k-core decomposition method, the core node set of the community network is found, the core boundary node set of four aviation community networks is identified, the core node set and core boundary nodes are analyzed repeatedly, and the key node set of the whole network is obtained. …”
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Design and Research of Dual-Mode Power Generation Device Based on Improved Oscillating Buoy by Fanglin Chen, Xiaori Wang, Qiufen Li, Deyv Chen, Zhiquan Gao, Jiachan Lai, Kaiwu Cai

“…Then, the Froude–Krylov hypothesis method and the oscillating buoy body decomposition method were used to calculate the combined force in the vertical direction of the buoy, and combined with other forces, the maximum wave force on the buoy was determined. …”
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Multimodal Approaches Based on Microbial Data for Accurate Postmortem Interval Estimation by Sheng Hu, Xiangyan Zhang, Fan Yang, Hao Nie, Xilong Lu, Yadong Guo, Xingchun Zhao

“…Due to insufficient information, unimodal models could not comprehensively reflect the PMI, so a muti-modal model should be used to estimate the PMI. …”
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Root Crack Identification of Sun Gear in Planetary Gear System Combining Fault Dynamics with VMD Algorithm by Hongwei Fan, Yiqing Yang, Hongwei Ma, Xuhui Zhang, Xiang Wan, Xiangang Cao, Qinghua Mao, Chao Zhang, Qi Liu

“…The experimental results show that the proposed dynamics model and VMD method are feasible; an error between the characteristic frequencies from the tested signal analysis and the theoretical calculation is less than 1%.…”
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Dual-level graph contrastive collaborative filtering by Jiahao Wang, Qingshuai Wang, Kai Ma, Noor Farizah Ibrahim, Zurinahni Zainol

“…Using the Fast Gradient Sign Method (FGSM), we perturb the model’s representation vectors under worst-case conditions, thereby mitigating noise from node-level views and extracting global collaborative information. …”
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Book Recommendation Using Collaborative Filtering Algorithm by Esmael Ahmed, Adane Letta

“…In addition, it presents a comparative study among memory-based and model-based approaches. In this study, researchers used design science research method. …”
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Short-Term Load Forecasting Based on Similar Day Theory and BWO-VMD by Qi Cheng, Jing Shi, Siwei Cheng

“…The daily load sequence is then decomposed into high-, medium-, and low-frequency components using Variational Mode Decomposition (VMD). The high-frequency component is predicted using the similar day averaging method, while neural networks are employed for the medium and low-frequency components, leveraging historical and similar-day data, respectively. …”
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Series Expanding of the Ultrasound Transmission Coefficient Through a Multilayered Structure by Ahmed Chitnalah, Noureddine Aouzale, Hicham Jakjoud

“…Finally, our proposed method may be used, with the decomposition into Gaussian beams of a pressure field created by a circular source, to draw a 3D image of the pressure field transmitted through a multilayered structure.…”
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A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions by Chengyao Liu, Fei Dong

“…To prove the cross-domain fault diagnosis performance and superiority of the proposed methods, two bearing datasets are applied for experiments, and the experimental results verify that the model built by the proposed framework can achieve desirable diagnosis performance under different working conditions and that it apparently outperforms comparative models.…”
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Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations. by Kodi Taraszka, Noah Zaitlen, Eleazar Eskin

“…In simulations, we show PAT controls the false positive rate, increases statistical power, and is robust to model misspecifications of genetic effect. Additionally, simulations comparing PAT to three multi-trait methods, HIPO, MTAG, and ASSET, show PAT identified 15.3% more omnibus associations over the next best method. …”
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Blind HDR image quality assessment based on aggregating perception and inference features by Donghui Wan, Xiuhua Jiang, Qiangguo Yu

“…Our approach begins with multi-scale Retinex decomposition to generate reflectance maps with varying sensitivity, followed by the calculation of gradient similarities from these maps to model the perception process. …”
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Application of KTA-KELM in Fault Diagnosis of Rolling Bearing by Zhuo Wang, Wenjun Zhao, Tao Ma, Zhijun Li, Bo Qin

“…A method for identifying the state of rolling bearings based on the kernel arrangement preferred kernel parameter σ is proposed. …”
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Parameter-Matching Multi-Objective Optimization for Diesel Engine Torsional Dampers by Zhongxu Tian, Zhongda Ge

“…A torsional vibration model was developed using Cholesky decomposition and the Jacobi sweep method for free vibration analysis, followed by dynamic response calculations through model decoupling and modal superposition. …”
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Comprehensive Framework of Major Power Project Management Based on System Thinking by Xue-Wen Zhu, Ai-Hua Pei, Fei Peng, Nan-Nan Xue, Wei Zhang

“…Then, by combining the G1 method with the cloud model, a new way of management performance evaluation of power projects is provided. …”
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Spatiotemporal Coupling Characteristics and Interactive Effects of Government Environmental Governance, Green Finance, and Carbon Emission Performance in the Yangtze River Delta Ur... by Qi Sun, Changjun Jiang, Xinyue Zheng

“…In addition, a coupling coordination model, Dagum Gini coefficient decomposition method, and a panel vector autoregression (PVAR) model are used for in-depth analysis. …”
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Research on Airflow Background Noise Suppression for Aeroacoustic Wind Tunnel Testing by Yuanwen Li, Min Li, Daofang Feng, Debin Yang, Long Wei

“…Therefore, an Airflow Background Noise Suppression method based on the Ensemble Empirical Mode Decomposition (ABNSEEMD) is proposed to eliminate the influence of background noise on aeroacoustic field reconstruction. …”
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Automatic crop type mapping based on crop-wise indicative features by Junru Yu, Longcai Zhao, Yanfu Liu, Qingrui Chang, Na Wang

“…The time series analysis method (i.e., seasonal trend decomposition) and imputation method was then utilized for the discrete time series of CIF extractors, which were separately trained based on training samples on each day. …”
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Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment by Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

“…Firstly, the proposed method utilizes a separable low-rank self-representation model to disentangle the class and view structure layers, respectively. …”
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