Signal Recovery in Power Systems by Correlated Gaussian Processes by Marcel Zimmer, Daniele Carta, Thiemo Pesch, Andrea Benigni

“…Based on only local power system topology, the presented algorithm combines cross-channel information of the considered signals with a universal, nonparametric probabilistic machine learning regression to recover missing data. …”
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Acoustofluidic Tweezers Integrated with Droplet Sensing Enable Multifunctional Closed‐Loop Droplet Manipulation by Mingyang Sui, Huijuan Dong, Guanyu Mu, Zhen Yang, Ye Ai, Jie Zhao

“…The platform takes advantage of the wideband frequency response characteristics of the transducers, along with an automated droplet detection algorithm, enabling high‐precision detection of central positions, edge positions, contact diameters, and the number of droplets. …”
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Error Compensation for Dead Reckoning Based on SVM by Xin LI, Xiaoming WANG, Jianguo WU, Jiwei ZHAO, Jiacheng XIN, Kai CHEN, Bin ZHANG

“…In the use of machine learning methods for error compensation in dead reckoning of an autonomous undersea vehicle(AUV), the neural network algorithm is commonly used. However, neural networks require a large number of training samples to achieve stable training results. …”
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Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

“…The core idea of this algorithm comprehensively considers the dependencies between special events, seasonality, and load through multi-attention fusion. …”
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A Step-by-Step Equivalent Microprediction Method for the Mechanical Properties of Composite Solid Propellants considering Dewetting Damage by Huiru Cui, Xuan Lv, Yurong Xu, Zhiwen Zhong, Zixiang Zhou, Weili Ma

“…According to the characteristics of the composition ratio of a four-component hydroxyl-terminated polybutadiene (HTPB) propellant with the component ammonium perchlorate (AP), hydroxyl-terminated polybutadiene, aluminum powder (AL), and cyclotrimethylenetrinitramine (or RDX for short), an improved random delivery algorithm was developed to separately model filler particles with the different sizes. …”
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Vibration Frequencies Extraction of the Forth Road Bridge Using High Sampling GPS Data by Jian Wang, Xiaolin Meng, Changbiao Qin, Jiaohong Yi

“…A bilinear Chebyshev high-pass filter is designed to isolate the quasistatic movements, the FFT algorithm and peak-picking approach are applied to extract the vibration frequencies, and a GPS data accumulation counter is suggested for real-time monitoring applications. …”
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Nonuniformity Correction Method of Infrared Detector Based on Statistical Properties by Li Dandan, Ding Xiang, Chai Mengyang, Ma Chao, Sun Dexin

“…Then, the linear correlated region based on the recombined data is extracted using a judgment algorithm that processes the linear correlations of multiple regions to simulate the detector's response curve and find the nonuniformity correction coefficient of each pixel. …”
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A State Estimation of Dynamic Parameters of Electric Drive Articulated Vehicles Based on the Forgetting Factor of Unscented Kalman Filter with Singular Value Decomposition by Tianlong Lei, Mingming Hou, Liaoyuan Li, Haohua Cao

“…The unscented Kalman filter algorithm is the foundation, with singular value decomposition replacing the Cholesky decomposition. …”
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Ischemic Stroke Detection System with a Computer-Aided Diagnostic Ability Using an Unsupervised Feature Perception Enhancement Method by Yeu-Sheng Tyan, Ming-Chi Wu, Chiun-Li Chin, Yu-Liang Kuo, Ming-Sian Lee, Hao-Yan Chang

“…To detect abnormal regions in the brain images, we propose using an unsupervised region growing algorithm to segment the brain tissue area. The brain is centered on a horizontal line and the white matter of the brain’s inner ring is split into eight regions. …”
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Predicting Flash Point of Organosilicon Compounds Using Quantitative Structure Activity Relationship Approach by Chen-Peng Chen, Chan-Cheng Chen, Hsu-Fang Chen

“…A modified stepwise regression algorithm was applied to choose descriptors that were highly correlated with the FP of organosilicon compounds. …”
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Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid S... by Jing Wu, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Christian Simader, Sebastian M. Waldstein, Ursula M. Schmidt-Erfurth

“…Integral to this work is the dataset used which must be fit for purpose for IRF segmentation algorithm training and testing. We describe here a multivendor dataset comprised of 30 scans. …”
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Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN) by Robert A. Sowah, Kwadwo B. Ofori-Amanfo, Godfrey A. Mills, Koudjo M. Koumadi

“…The ANN classification algorithm for intrusion detection was evaluated using several metrics. …”
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Confirmation of Thermal Images and Vibration Signals for Intelligent Machine Fault Diagnostics by Achmad Widodo, Djoeli Satrijo, Toni Prahasto, Gang-Min Lim, Byeong-Keun Choi

“…SOM is selected due to its simplicity and is categorized as an unsupervised algorithm. Following the SOM training, machine fault diagnostics is performed by using the pattern recognition technique of machine conditions. …”
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Scene-Aware Deep Networks for Semantic Segmentation of Images by Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao

“…During the process of the actual test, the semantic segmentation dataset was firstly divided into three categories based on the scene classification algorithm. Then the semantic segmentation neural network is trained under three scenarios, and three semantic segmentation network models are obtained accordingly. …”
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Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology by Zhen Dai, Shouyu Liang, Yachen Tang, Jun Tan, Guangyi Liu, Qinyu Feng, Xuanang Li

“…Based on the node-breaker graph model, topological error identification was conducted, and a fast topological analysis optimization algorithm, considering component functionality, was applied to update the bus-branch graph model, facilitating graph-based state estimation. …”
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Emulating Realistic Bidirectional Spatial Channels for MIMO OTA Testing by Wei Fan, Pekka Kyösti, Jesper Ø. Nielsen, Lassi Hentilä, Gert F. Pedersen

“…The simulation results are further supported by measurements in a practical MPAC setup. The proposed algorithm is shown to be a valid method to emulate bidirectional spatial channel models.…”
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Modeling and 1 : 1 Internal Resonance Analysis of Cable-Stayed Shallow Arches by Jiangen Lv, Zhicheng Yang, Xuebin Chen, Quanke Wu, Xiaoxia Zeng

“…The frequency- and force-response curves are obtained by using the Newton–Raphson method in conjunction with the pseudoarclength path-following algorithm. The cascades of period-doubling bifurcations leading to chaos are obtained by applying numerical simulations. …”
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Design and application of depth control methods for autonomous underwater profilers in challenging marine environments by Isabel P. Morales-Aragón, Jaime Giménez-Gallego, Javier Gilabert, Roque Torres-Sánchez, Fulgencio Soto-Valles

“…The first methodology uses a simple PID control algorithm to manage depth via thrusters, suitable for marine environments where fouling is minimal. …”
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Equiaxed growth of interacting Al–Cu dendrites in thin samples: a phase-field study at copper concentrations relevant for practical applications by Gong, Tong Zhao, Boukellal, Ahmed Kaci, Chen, Yun, Debierre, Jean-Marc

“…The use of a parallel adaptive finite element algorithm introduced recently [Gong et al., Comput. …”
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Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility by Oscar Alvear, Nicola Roberto Zema, Enrico Natalizio, Carlos T. Calafate

“…These UAVs are guided by our proposed Pollution-driven UAV Control (PdUC) algorithm, which is based on a chemotaxis metaheuristic and a local particle swarm optimization strategy. …”
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