An Intelligent 5G Unmanned Aerial Vehicle Path Optimization Algorithm for Offshore Wind Farm Inspection by Congxiao Jiang, Lingang Yang, Yuqing Gao, Jie Zhao, Wenne Hou, Fangmin Xu

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Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm by Jingui YI, Ziwei ZHU, Qing XIE

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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…Modern image recognition systems are pivotal in enhancing urban landscapes to support sustainable development and improving urban planning performance in a dynamic environment. Previous research focused on street-view panoramas is emerging as a new information source for urban studies due to the rapid advancements in image processing technology. …”
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A knowledge-based time series algorithm for robust mapping of on- and off-year Moso bamboo forests by Jing Ma, Nan Li, Yong Yang, Xiang Li, Mengyi Hu, Shijun Zhang, Linjia Wei, Longwei Li

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Research on Obstacle-Avoidance Trajectory Planning for Drill and Anchor Materials Handling by a Mechanical Arm on a Coal Mine Drilling and Anchoring Robot by Siya Sun, Sirui Mao, Xusheng Xue, Chuanwei Wang, Hongwei Ma, Yifeng Guo, Haining Yuan, Hao Su

“…Then, in order to adapt to the dynamic environment and avoid the global planning algorithm from falling into the local minima, on the basis of the above planning methods, an improved Bi-RRT trajectory planning algorithm incorporating the artificial potential field was proposed, which takes the planned paths as the guiding potential field of the artificial potential field to make full use of the global information and avoid falling into the local minimization. …”
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Design and Implementation of Virtual Reality Interactive Product Software Based on Artificial Intelligence Deep Learning Algorithm by Yi Wang, Junhai Sun

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Zebra optimization algorithm incorporating opposition-based learning and dynamic elite-pooling strategies and its applications. by Tengfei Ma, Guangda Lu, Zhuanping Qin, Tinghang Guo, Zheng Li, Changli Zhao

“…Specifically, it achieves faster iteration speeds across four different environments, with the planned path length after escaping local optima being shortened by an average of 7.55175 m (16.291%) compared to other optimization algorithms. …”
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Complete Coverage Path Planning for Wind Turbine Blade Wall-Climbing Robots Based on Bio-Inspired Neural Networks and Energy Consumption Model by Da Chen, Gang Yu, Shuchen Huang

“…To overcome the limitations of the existing inspection methods, which suffer from low detection precision and inefficiency, this paper proposes a novel complete coverage path planning (CCPP) algorithm for wall-climbing robots operating on wind turbine blades. …”
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Multi-Timescale Nested Hydropower Station Optimization Scheduling Based on the Migrating Particle Whale Optimization Algorithm by Mi Zhang, Guosheng Zhou, Bei Liu, Dajun Huang, Hao Yu, Li Mo

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Evaluating and mapping spatial drought in northeast Thailand: utilizing analytic hierarchy process and random forest algorithms by Zahid Naeem Qaisrani, Jaturong Som-ard, Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Nudthawud Homtong, Sarawut Ninsawat, Asadullah, Ali Nawaz Mengal

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355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system by Angela Muhanga, King Jason, Xsolis Mueller, Jennifer L. Sanger, Julie M. Bartlett, Brian N. Manz, James W. Spiten, Matthew J. Overgaard, Shauna M. Wang Hanyin

“…This algorithm, a 1D convolutional neural network, predicts DRGs based on clinical documentation. …”
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Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing by Aydin Azizi

“…The proposed algorithm is composed of two different optimization algorithms: Redundant Antenna Elimination (RAE) and Ring Probabilistic Logic Neural Networks (RPLNN). …”
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Deep Reinforcement Learning for Real-Time Airport Emergency Evacuation Using Asynchronous Advantage Actor–Critic (A3C) Algorithm by Yujing Zhou, Yupeng Yang, Bill Deng Pan, Yongxin Liu, Sirish Namilae, Houbing Herbert Song, Dahai Liu

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Solving the Electric Share-A-Ride Problem Using a Hybrid Variable Neighborhood Search Algorithm by Vincent F. Yu, Sy Hoang Do, Pham Tuan Anh, Cheng-Ta Yeh

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Prediction of Soil Liquefaction Using a Multi-Algorithm Technique: Stacking Ensemble Techniques and Bayesian Optimization by Long Tsang, Mahdi Akbari, Pouyan Fakharian

“…A Bayesian optimization method is also used to improve the accuracy of the predictions of soil liquefaction by adjusting the hyperparameters of these four classification algorithms. Information gain technique also was used for input selection. …”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…Their Energy Management Systems (EMSs) can be based on evolutionary optimization algorithms to identify efficient scheduling plans and improve performance. …”
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Conditional Random Field-Based Incremental Auto Scaling Algorithm to Enhance Workflow Scheduling in Cloud Computing by George Fernandez, Arunkumar Gopu, S. P. Abirami, B. Misha Chandar, T. Poongodi, B. Arunkumar

“…Current internet environment has demanded the need for cloud computing technology in handling large information. The paper’s central theme is to evaluate the effectiveness of resources in managing scientific processes in a cloud environment by scheduling, capacity planning, and auto-scaling. …”
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Readings of 24-hour ambulatory blood pressure monitoring (ABPM) in patients with stage II arterial hypertension (HTN) receiving planned antihypertensive therapy by O. V. Nilova, S. V. Kolbasnikov

“…The aim of the study:to analyze ABPM readings in patients with stage II HTN receiving antihypertensive therapy in order to plan a personalized algorithm for managing HTN patients at the stage of the outpatient care. …”
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Dependence of a choice of a technique of a cystotomia of extensive cysts of jaws on an information of beam methods of research

“…The purpose of this scientific research was drawing up of algorithm of optimum planning of a technique of operation at patients with extensive cysts of jaws, comparison of indicators of an information of most often carried-out beam methods of research in particular is made at this pathology. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Five machine learning algorithms were employed—Artificial Neural Network (ANN), Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors Regression (KNN), and Multi-Layer Perceptron (MLP ANN)—utilizing both MinMax and Standard Scaling methods. …”
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