Self-adaptive prediction and prewarning model of mine gas concentration by Dingwen Dong

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Algorithm-Based Real-Time Analysis of Heart Rate Measures in HIIT Training: An Automated Approach by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…The algorithm detects local maxima and minima in the heart rate signals recorded during HIIT sessions and calculates ascending and descending slopes, as well as intermediate averages, to evaluate cardiovascular response and recovery. …”
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RLS-Based Control Algorithms for 3D Zones of Quiet by Małgorzata I. MICHALCZYK, Janusz SERWIN

“…A problem of parameterisation of six RLS-based adaptive control algorithms is evaluated, initially in simulations with the use of nonsimplified plant models and tonal disturbances. …”
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Development and Evaluation of a Multi-Robot Path Planning Graph Algorithm by Fatma A. S. Alwafi, Xu Xu, Reza Saatchi, Lyuba Alboul

“…A new multi-robot path planning (MRPP) algorithm for 2D static environments was developed and evaluated. …”
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A new adaptive grey prediction model and its application by Jianming Jiang, Ming Zhang, Zhongyong Huang

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Adaptive Tracking and Cutting Control System for Tea Canopy: Design and Experimental Evaluation by Danzhu Zhang, Ruirui Zhang, Liping Chen, Linhuan Zhang, Tongchuan Yi, Quan Feng

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Light adaptive image enhancement for improving visual analysis in intercropping cultivation by Wei Zhong, Wanting Yang, Yunfei Wang, Xiang Dong, Xiaowen Wang, Weidong Jia, Mingxiong Ou, Mingde Yan

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Tunnel Crack Segmentation Algorithm Based on Feature Enhancement by Lihua Feng, Aijun Yao, An Huang

“…However, due to the complex lighting conditions, background noise, and diverse nature of cracks inside tunnels, traditional image segmentation algorithms often struggle to achieve sufficient accuracy in crack segmentation tasks. …”
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Hybrid System for Fault Tolerance in Selective Compliance Assembly Robot Arm: Integration of Differential Gears and Coordination Algorithms by Claudio Urrea, Pablo Sari, John Kern

“…The system employs redundant actuators, differential gears, torque limiters, and rapid detection and reconfiguration algorithms. …”
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Support Vector Regression-Based Adaptive Divided Difference Filter for Nonlinear State Estimation Problems by Hongjian Wang, Jinlong Xu, Aihua Zhang, Cun Li, Hongfei Yao

“…We present a support vector regression-based adaptive divided difference filter (SVRADDF) algorithm for improving the low state estimation accuracy of nonlinear systems, which are typically affected by large initial estimation errors and imprecise prior knowledge of process and measurement noises. …”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…Abstract Unmanned Aerial Vehicles (UAVs) consistently encounter complex operational environments during task execution. To enhance UAV adaptability in such environments, improve rapid and efficient path planning capabilities, and reduce operational costs, this paper proposes a 3D UAV path planning algorithm based on an improved Dwarf Mongoose Optimization (DMO) algorithm enhanced with multiple strategies. …”
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Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

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Memetic Salp Swarm Algorithm for economic load dispatch problems by Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Malik Braik, Raed Abu Zitar, Khaled Assaleh, Mahmud Alkoffash, Qusai Yousef Shambour

“…The proposed method, called MSSA, evaluates several types of ELD problems that differ in the constraints adopted. …”
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A Novel Hybrid Optimizer Based on Coati Optimization Algorithm and Differential Evolution for Global Optimization and Constrained Engineering Problems by Saptadeep Biswas, Binanda Maiti, Gyan Singh, Absalom E. Ezugwu, Kashif Saleem, Laith Abualigah, Aseel Smerat, Uttam Kumar Bera

“…HCOADE integrates the exploration-driven behaviour of the Coati Optimization Algorithm (COA)-inspired by the social foraging and predation strategies of coatis-with the powerful mutation and crossover mechanisms of Differential Evolution (DE), thereby achieving a balanced and adaptive search process. …”
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A Talent Cultivation and Performance Evaluation Model Based on a Fuzzy Control Algorithm by Shanshan Jiang

“…The algorithm combines an adaptive neuro-Fuzzy Inference System with Adaptive Hybrid Particle Swarm Optimization. …”
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Double Filter and Double Wrapper Feature Selection Algorithm for High-Dimensional Data Analysis by Hong Chen, Yuefeng Zheng

“…Next, the standard Cauchy distribution was used for population initialization. Subsequently, the algorithm enters the double wrapper stage, where it uses the Random Walk Whale Optimization Algorithm (RWWOA) and the improved Adaptive Differential Evolution (ADE) to jointly optimize and obtain the optimal feature subset. …”
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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

“…Mining key nodes in the network plays a great role in the evolution of information dissemination, virus marketing, and public opinion control, etc.The identification of key nodes can effectively help to control network attacks, detect financial risks, suppress the spread of viruses diseases and rumors, and prevent terrorist attacks.In order to break through the limitations of existing node influence assessment methods with high algorithmic complexity and low accuracy, as well as one-sided perspective of assessing the intrinsic action mechanism of evaluation metrics, a comprehensive influence (CI) assessment algorithm for identifying critical nodes was proposed, which simultaneously processes the local and global topology of the network to perform node importance.The global attributes in the algorithm consider the information entropy of neighboring nodes and the shortest distance nodes between nodes to represent the local attributes of nodes, and the weight ratio of global and local attributes was adjusted by a parameter.By using the SIR (susceptible infected recovered) model and Kendall correlation coefficient as evaluation criteria, experimental analysis on real-world networks of different scales shows that the proposed method is superior to some well-known heuristic algorithms such as betweenness centrality (BC), closeness centrality (CC), gravity index centrality(GIC), and global structure model (GSM), and has better ranking monotonicity, more stable metric results, more adaptable to network topologies, and is applicable to most of the real networks with different structure of real networks.…”
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Integration of the reptile search algorithm and the adaptive neuro-fuzzy inference system enhances standardized precipitation evapotranspiration index forecasting by Zahra Kayhomayoon, Mohammad Javad Bahmani, Sami Ghordoyee Milan, Ommolbanin Bazrafshan, Ronny Berndtsson

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An improved multiple adaptive neuro fuzzy inference system based on genetic algorithm for energy management system of island microgrid by Yanming Cheng, Jinqi Zhang, Mahmoud Al Shurafa, Dejun Liu, Yulian Zhao, Chao Ding, Jing Niu

“…In this paper, an EMS based on Multiple Adaptive Neuro-Fuzzy Inference System optimized by Genetic Algorithm (MANFIS-GA) is proposed for PV/Wind/Diesel Generator/Battery (PWDB) island MG system, to optimize the output power of diesel generator, manage charging-discharging operation of MG Battery Storage keeping its State of Charge (SOC) in acceptable limits, and improve the MG system reliability and stability by mitigating the effects of sudden changes in the electrical loading and Renewable energy sources (RES) Power. …”
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Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems by Nawaf Mijbel Alfadli, Eman Mostafa Oun, Ali Wagdy Mohamed

“…To validate the effectiveness of the ATMALS-GSK algorithm, it is evaluated on the CEC 2011 and CEC 2017 benchmarks. …”
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