Ground fault protection algorithm of active distribution network based on energy extremum direction by Li Jun, He Min, Huang Shoudao, Wu Xuan, Fan lv, Liu Zhi Yong

“…The main contribution is: by establishing an electrical system structure and model for distribution network grounding faults that include distributed generation (DG), theoretically deriving and calculating the transient zero‐sequence current frequency changes at the moment of fault, analysing the directional characteristics of zero‐sequence currents under DG connection conditions, designing a local grounding fault judgment algorithm based on energy extremum direction, and providing a fault judgment and isolation process for grounding fault monitoring devices. …”
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A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…Tailored environmental selection models are then designed for the auxiliary population according to different states, enabling them to guide the evolution of the main population more effectively. By dynamizing the CHTs, the proposed algorithm can adapt to a broader and more complex range of CMOPs. …”
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Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

“…Due to the development of computing technology and different machine learning models, big data sets have gained importance in animal science as well as in many disciplines. The main objective of this study was to compare different machine learning algorithms to predict daily dry matter intake (DMI) in feedlot cattle. …”
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Hybrid Approach for Protein Secondary Structure Prediction with KNN, SVM, and Neural Network Algorithms by Benjamin Mukanya Ntumba, Jean Paul Ngbolua Koto-Te-Nyiwa, Blaise Bikandu Kapesa, Nathanael Kasoro Mulenda

“…One of the main challenges in bioinformatics is predicting the structures of macromolecules, particularly nucleic acids and proteins. …”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

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Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm by Taghi Javdani Gandomani, Maedeh Dashti, Sadegh Ansaripour, Hazura Zulzalil

“…Although this method has been customized in recent years with the help of optimization algorithms to achieve better results, the use of more powerful optimization algorithms can be effective in achieving better results in software size estimation. …”
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Mobile-YOLO: A Lightweight Object Detection Algorithm for Four Categories of Aquatic Organisms by Hanyu Jiang, Jing Zhao, Fuyu Ma, Yan Yang, Ruiwen Yi

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Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms by Zilong Pu, Miaomiao Yang, Mingzhi Jiao, Duan Zhao, Yu Huo, Zhi Wang

“…In the concentration regression phase, we combined the classification results with the raw features to create a new feature set, which was then input into a multi-output MLP regression model. The root mean square error (RMSE) employing the new feature set was used to measure the prediction error. …”
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Sustainable soil organic carbon prediction using machine learning and the ninja optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy

“…The baseline Support Vector Machine (SVR) model achieved a mean squared error (MSE) of 0.00513, which was reduced to 0.00011 after applying binary NiOA (bNiOA) for feature selection. …”
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An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

“…The obtained numerical results underwent rigorous scrutiny through several non-parametric statistical tests, including the Friedman test, the post hoc Dunn’s test, and the Wilcoxon signed ranks test. The resulting mean ranks and p-values unequivocally demonstrate the superior efficacy of the proposed algorithm in addressing the feature selection problem. …”
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Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration by Shahabaz Afraj, Ondřej Vaculín, Dennis Böhmländer, Luděk Hynčík

“…Such unavoidable deviations render the use of virtual simulations ineffective for the calibration process of the algorithms that activate the restraint systems in the event of a crash (crash-detection algorithm). …”
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Modified Floyd–Warshall’s Algorithm for Maximum Connectivity in Wireless Sensor Networks under Uncertainty by Laxminarayan Sahoo, Supriyan Sen, Kalishankar Tiwary, Sovan Samanta, Tapan Senapati

“…The main objective of this paper is to find the duration of maximum time connectivity of sensor nodes under uncertainty utilizing the prespecified voltage/power of each sensor node. …”
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Algorithms for the Extension two Dimensional Fuzzy Signal via Decomposition and Reconstruction in Fuzzy Wavelets by Jean-louis Akakatshi Ossako, Rebecca Walo Omana, Richard Bopili Mbotia, Antoine Kitombole Tshovu

“…Our problem is: "Can we build algorithms allowing the decomposition and reconstruction of a signal in a fuzzy environment? …”
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A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems by Bilal Khurshid, Shahid Maqsood, Muhammad Salman Habib, Muhammad Omair, Seung-June Hwang

“…Recombination and mutation are the main genetic operators in IES. For recombination in IES, 16 offspring are generated randomly from a single parent. …”
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A novel adaptive PID controller with new seesaw algorithms using alternative derivatives by Juan Pablo Manzo Hernández, Julio César Solano Vargas, Juan Manuel Barrera Fernández, Daniel Moreno Orduña, Cristian Hamilton Sánchez Saquín

“…The [Formula: see text] controller is present in at least 90% of industrial applications due to its simplicity and robustness to control linear and non-linear systems. Its main drawbacks include difficulty in achieving proper gains tuning for complex systems and lack of adaptability attributed to its fixed gains when system dynamics change. …”
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Complex Path Planning for Manipulators Based on an Improved NSGA-III Algorithm With Hopfield Network by Xiaoxiang Sun, Jue Wang, Wei Wang

“…The feasibility of the algorithm has been validated through simulations and experiments in complex three-dimensional motion scenarios.…”
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Energy Efficient Secure Trust Based Clustering Algorithm for Mobile Wireless Sensor Network by Eid Rehman, Muhammad Sher, Syed Hussnain Abbas Naqvi, Khan Badar Khan, Kamran Ullah

“…The main benefit of selecting a suitable node as cluster head (CH) in clustering for wireless mobile sensor networks (MWSNs) is to prolong the network lifetime. …”
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Literature Review: A Comparative Study of Waste Classification using Deep Learning Algorithms by Ariza Ikhlas, Billy Hendrik

“…This study adopts a Systematic Literature Review (SLR) methodology to analyze existing research conducted by previous scholars. The main objectives are to identify the most appropriate algorithms for waste type classification, determine the most suitable model architectures, and examine the correlation between dataset size, number of classes, and classification accuracy. …”
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TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications by Abiel Aguilar-González, Alejandro Medina Santiago, Jorge Antonio Orozco Torres, J. A. de Jesús Osuna-Coutiño, Madaín Pérez Patricio, Néstor A. Morales-Navarro

“…In this work, we propose the TurboPixels algorithm, whose main contribution is a hardware architecture for superpixel segmentation. …”
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Compensation Algorithms Based On The P-q And Cpc Theories For Switching Compensators In Micro-grids by L. F. C. Monteiro, J. L. Afonso, J. G. Pinto, E. H. Watanabe, M. Aredes, H. Akagi

“… The main objective of this paper is to compare the applicability and performance of a switching compensa-tor when it is controlled by algorithms derived from the pq–Theory and from the Current’s Physical Components Power Theory (CPC-Theory) considering a micro-grid application. …”
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