Changes and factors of thermal discharge from 2013 to 2023: A case study of the Tianwan nuclear power plant by Xiangle Jiang, Wenjin Zhu, Yang Zhang, Qing Xu, Xiaotian Dong

“…Results showed: (1) The SST retrieval algorithm we modified had high accuracy and applicability; (2) Between 2013 and 2023, the increase in nuclear units had intensified thermal discharge, expanding the affected marine areas; (3) The thermal discharge in spring and summer had a more pronounced impact on the temperature rise areas; (4) Tidal dynamics and seasonal variations, especially spring tides, significantly influenced thermal discharge and mixing; (5) Tidal currents improved vertical mixing, with spring tides weakening stratification and raising bottom temperatures; (6) Planktonic microorganism diversity peaked in spring, autumn, and winter, while summer discharge reduced abundance. …”
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Fault Diagnosis of Variable Load Bearing Based on Quantum Chaotic Fruit Fly VMD and Variational RVM by Bo Xu, Huipeng Li, Fengxing Zhou, Baokang Yan, Yi Liu, Yajie Ma

“…In order to accurately and effectively diagnose the failure types and damage degree of bearings under variable load conditions, an intelligent diagnostic model based on the variational mode decomposition (VMD) of quantum chaotic fruit fly optimization algorithm (QCFOA) and a multiclassification variational relevance vector machine (VRVM) is proposed. …”
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Characteristics of transcriptome and chromatin accessibility in the peripheral blood after acute hypoxia exposure by Kuo Zeng, Pei-ru Yuan, Jin-feng Xuan, Lai-xi Zhao, Xiao-na Li, Jun Yao, Dong Zhao

“…Differential expression analysis and the Boruta algorithm identified differentially expressed genes (DEGs) and differentially accessible regions (DARs) associated with hypoxia adaptation. …”
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Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN by Lei Chen, Jun Wang, Zhang Sun, Tao Huang, Fan Wu

“…To prevent smoothing insufficient and excessive, the fuzzy CEEMDAN algorithm is used to obtain the target power of the photovoltaic-pumped storage (PV-PS) generation system and the control signal of cascade hydro stations (CHSs) for eliminating large amplitude fluctuations of the PV output. …”
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Enhancing Particulate Matter Estimation in Livestock-Farming Areas with a Spatiotemporal Deep Learning Model by Dohyeong Kim, Heeseok Kim, Minseon Hwang, Yongchan Lee, Choongki Min, Sungwon Yoon, Sungchul Seo

“…Using a 200 m × 200 m prediction grid, forecasts were generated for both 1 h and 24 h intervals using the Graz Lagrangian model (GRAL) and a one-dimensional convolutional neural network combined with the long short-term memory algorithm (1DCNN-LSTM). Results highlight the potential of the deep learning model to enhance PM prediction, indicating its promise as an effective alternative or supplement to conventional air dispersion models, particularly in data-scarce areas such as those surrounding livestock farms. …”
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Noise-immune zeroing neural dynamics for dynamic signal source localization system and robotic applications in the presence of noise by Yuxin Zhao, Jiahao Wu, Mianjie Zheng

“…The NIZND model is a brain-inspired algorithm that incorporates an integral term and an activation function into the traditional zeroing neural dynamics (ZND) model, designed to effectively mitigate noise interference during localization tasks. …”
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DDC_Calc, software to diagnose developmental dysplasia of the hip in infants (version 1) by José Julio Requeiro Molina, Ernesto Pérez Pérez, Ana María Machado Consuegra, Karina Leonor Fernández Sánchez, Roberto Díaz Amador, José Julio Requeiro Morejón

“…The Viola-Jones artificial vision algorithm was used for the detection of the structures, as well as a rule-based system with a view to a diagnostic suggestion. …”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…Therefore, this work proposes a machine learning-based device modeling algorithm to capture the complex nonlinear relationship between parameters and electrical characteristics of gate-all-around (GAA) nanowire field-effect transistors (NWFETs) from technology computer-aided design (TCAD) simulation results. …”
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Enhanced Seismic Structural Reliability on Reinforced Concrete Buildings by Using Buckling Restrained Braces by Victor Baca, Juan Bojórquez, Edén Bojórquez, Herian Leyva, Alfredo Reyes-Salazar, Sonia E. Ruiz, Antonio Formisano, Leonardo Palemón, Robespierre Chávez, Manuel Barraza

“…For this aim, three traditional RC framed structures with 3, 6, and 9 story levels are designed by using the well-known technique nondominated sorting genetic algorithm (NSGA-II) in order to reduce the cost and maximize the seismic performance. …”
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A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method by Jooyoung Lee, Jihye Byun, Jaedeok Lim, Jaeyun Lee

“…This study overcomes these limits and proposes an overall framework for an algorithm that effectively detects occupants in vehicles using photographic data. …”
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An advanced 3D lymphatic system for assaying human cutaneous lymphangiogenesis in a microfluidic platform by Minseop Kim, Sieun Choi, Dong-Hee Choi, Jinchul Ahn, Dain Lee, Euijeong Song, Hyun Soo Kim, Mijin Kim, Sowoong Choi, Soojung Oh, Minsuh Kim, Seok Chung, Phil June Park

“…In addition, we rapidly analyzed prolymphangiogenic effects using methods that incorporate a high-speed image processing system and a deep learning-based vascular network analysis algorithm by 12 indices. Using these platforms, we evaluated the pro-lymphangiogenic effect of Lymphanax, a natural product derived from fresh ginseng. …”
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Macro Modeling of Column Removal in RC Frames with Consideration of Importance Factor and Infill Walls by Seyed Ali Hassanzadeh, Hamid Reza Ashrafi, Mehdi Komasi

“…Finally, a proposed approach for column removal in NDA via OpenSees program is introduced, and its high accuracy is shown. This developed algorithm can remove any element of structure in different time intervals.…”
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Three-Dimensional Deformation Prediction Based on the Improved Segmented Knothe–Dynamic Probabilistic Integral–Interferometric Synthetic Aperture Radar Model by Shuang Wang, Genyuan Liu, Zhihong Song, Keming Yang, Ming Li, Yansi Chen, Minhua Wang

“…The ISK-DPIM-InSAR model constructs the inversion equations of InSAR line-of-sight deformation, north–south and east–west horizontal movement deformation, vertical deformation, inverts the optimal values of the predicted parameters of the workforce through the particle swarm algorithm, and substitutes it into the ISK-DPIM-InSAR model for predicting the three-dimensional dynamic deformation of a mining face. …”
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Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System by Xiayue Xu, Boxiang Yun, Yumin Zhao, Ling Jin, Yanning Zong, Guanzhen Yu, Chuanliang Zhao, Kai Fan, Xiaolin Zhang, Shiwang Tan, Zimu Zhang, Yan Wang, Qingli Li, Shaoqing Yu

“…After deep learning, the optimal network was selected as the initialization model and trained to optimize the SiamMask online tracking algorithm. Results: The Att-Res2-UNet network demonstrated the highest accuracy and precision, with the most accurate recognition results. …”
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Study of Ventilation Strategies in a Passenger Aircraft Cabin Using Numerical Simulation by S. M. Abdul Khader, John Valerian Corda, Kevin Amith Mathias, Gowrava Shenoy, Kamarul Arifin bin Ahmad, Augustine V. Barboza, Sevagur Ganesh Kamath, Mohammad Zuber

“…A high-quality polyhedral mesh of about 7.5 million elements was created, with a skewness of 0.65 and an orthogonality of 0.3. The SIMPLE algorithm and a second-order upwind finite volume method were used to model airflow and droplet dynamics. …”
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Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment by Moneerah Alotaibi, Ghadah Aldehim, Mashael Maashi, Mashael M. Asiri, Faheed A.F. Alrslani, Sultan Refa Alotaibi, Ayman Yafoz, Raed Alsini

“…Moreover, the arithmetic optimization algorithm (AOA) technique was exploited for the hyperparameter selection technique. …”
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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…Subsequently, the optimal hyperparameters for the SVM model are obtained using the Bayesian Optimization algorithm. This approach results in the development of an earthquake casualty prediction model based on PCA-BO-SVM. …”
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A Real-Time Timetable Rescheduling Method for Metro System Energy Optimization under Dwell-Time Disturbances by Guang Yang, Junjie Wang, Feng Zhang, Shiwen Zhang, Cheng Gong

“…The real-time feature and self-adaptability of the method are attributed to the combinational use of Genetic Algorithm (GA) and Deep Neural Network (DNN). The decision system for proposing solutions, which contains multiple DNN cells with same structures, is trained by GA results. …”
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Autonomous sortie scheduling for carrier aircraft fleet under towing mode by Zhilong Deng, Xuanbo Liu, Yuqi Dou, Xichao Su, Haixu Li, Lei Wang, Xinwei Wang

“…To efficiently solve the formulated HFSP, which is essentially a combinatorial problem with tightly coupled constraints, a chaos-initialized genetic algorithm is developed. The solution framework is validated by the simulation environment referring to the Fort-class carrier, exhibiting higher sortie efficiency when compared to existing strategies. …”
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Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning by CHEN Zhe, WEI Meijia, LIN Da, LI Zhihao, CHEN Jian

“…The short-term model focuses on minimizing the systems’ operational costs and is solved using the deep deterministic policy gradient （DDPG） algorithm. Finally， case study simulations demonstrate that the proposed method effectively facilitates hydrogen energy shifting， smooths fluctuations in wind and solar output， verifying the method’s effectiveness.…”
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