Assessing carbon–neutral supercapacitors in renewable energy systems with self-improving agent-based molecular fuzzy intelligent algorithms by Oscar Castillo, Hasan Dinçer, Serkan Yüksel, Serkan Eti

“…Abstract Carbon–neutral supercapacitors play an important role in renewable energy investments as environmentally friendly devices that both function as energy storage and aim to reduce carbon footprint. …”
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An Enhanced Text Steganography Technique (SHA-Logic): Based on Conditional Logic and SHA-3 (Secure Hash Algorithm 3) by Kisakye Diana Michelle, Ocen Gilbert Gilibrays, Odongtoo Godfrey

“…This study explores the various techniques used in text steganography and the challenges present in them to develop a high hiding capacity, robust, and high-quality covered medium text steganography technique that combines both Steganography and Cryptography using a condition Logic and Secure Hashing algorithm. …”
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Mathematical Model Based on BP Neural Network Algorithm for the Deflection Identification of Storage Tank and Calibration of Tank Capacity Chart by Caihong Li, Yali Yuan, Lulu Song, Yunjian Tan, Guochen Wang

“…Lastly, the tank capacity chart was corrected by BP neural network algorithm and got proportional error of theoretical and experimental measurements ranges from 0% to 0.00015%. …”
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Optimal design of 10‐bit single‐slope ADC for CMOS image sensor based on swarm intelligent optimization algorithm by Yan‐Hua Ma, Ji‐Tong Li, Ming Zhu, Yu‐Chun Chang

“…The proposed multi‐objectives optimization algorithm can obtain the optimal parameters of the kernel circuit components and lead to an enhancement of both power consumption and accuracy. …”
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Frequency Regulation for High Wind Penetration Power System Based on Ocean Predator Algorithm Considering Storage Battery State by Yingjie Hu, Chenggen Wang, Xiaoming Zou

“…However, storage power becomes insufficient when the state of charge (SOC) approaches its upper or lower limits, at this time, it is difficult to take into account both the state of charge protection of the energy storage and the effect of frequency regulation. …”
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Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

“…ObjectiveIn order to solve the problems of the insufficient brightness enhancement, low sharpness, and color distortion of existing maritime low-light image enhancement algorithms, this paper proposes an algorithm based on improved self-calibrated illumination (SCI) learning. …”
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Optimizing energy-efficient grid performance: integrating electric vehicles, DSTATCOM, and renewable sources using the Hippopotamus Optimization Algorithm by M. A. Abdelaziz, A. A. Ali, R. A. Swief, Rasha Elazab

“…These metrics, combined with the Hippopotamus Optimization Algorithm (HO), enable strategic planning within the IEEE 69-bus system. …”
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Design of tomato picking robot detection and localization system based on deep learning neural networks algorithm of Yolov5 by Jianwei Zhao, Wei Bao, Leiyu Mo, Zhiting Li, Yushuo Liu, Jiaqing Du

“…Stereo matching was used to obtain depth information from images, which was combined with the object detection algorithm to achieve both detection and localization of tomatoes. …”
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Data Attribute Selection with Information Gain to Improve Credit Approval Classification Performance using K-Nearest Neighbor Algorithm by Ivandari Ivandari, Tria Titiani Chasanah, Sattriedi Wahyu Binabar, M. Adib Al Karomi

“…The result of classification using K-Nearest Neighbors algorithm shows that there is an increase of 7.53% for UCI dataset and 3.26% for local dataset after feature selection on both datasets. …”
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Improving Segmentation of MRI Images of Brain Glial Cells Using Fuzzy C-Means Algorithm and Combination of PET Images by Wei Wang, Wu Beibei

“…The Fuzzy C-means (FCM) algorithm is employed to cluster MRI images, which are then enhanced by applying PET-derived masks. …”
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Optimized Control of Hybrid Energy Storage Systems Using Whale Optimization Algorithm for Enhanced Battery Longevity and Stability in Microgrids by Nouman Alam Siddiqui, Hira Tahir, Muhammad Akram, Habib Ullah Manzoor

“…This article proposes an optimized FBM control approach using the whale optimization algorithm (WOA) to improve HESS operation. The method optimizes two key variables: current sharing coefficients and the smoothing constant, enabling continuous HESS functionality. …”
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Factors Affecting Single and Multivehicle Motorcycle Crashes: Insights from Day and Night Analysis Using XGBoost-SHAP Algorithm by Panuwat Wisutwattanasak, Chamroeun Se, Thanapong Champahom, Rattanaporn Kasemsri, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha

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Optimal AC Power Flow with Energy Storage and Renewable Energy: An Efficient RL Algorithm Capable of Handling Equality Constraints by Mingde Liu, Jianquan Zhu, Mingbo Liu

“…However, in solving this OPF problem, model-based methods cannot accurately model uncertain scenarios, while traditional RL methods cannot satisfy the constraints well, and both methods have limitations. Therefore, we propose an RL method, ERL-HC, that does not require scene modelling and can handle general forms of physical constraints. …”
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A Novel Hybrid Differential Evolutionary Algorithm for Solving Multi-objective Distributed Permutation Flow-Shop Scheduling Problem by Xinzhe Du, Yanping Zhou

“…To tackle the multi-objective DPFSP, this paper proposes a novel hybrid differential evolutionary algorithm aimed at minimizing both the maximum completion time and total delay time. …”
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6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

“…These issues make it difficult for existing methods to achieve both high accuracy and real-time performance. To address these challenges, we improve the YOLOv5-based 6D pose estimation algorithm. …”
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A study of parameter aggregation algorithms for virtual power plant terminal decentralized resource scheduling characteristics in alpine regions by Yan Wang, Ruizhi Zhang, Ying Wang, Wen Xiang, Lu Wang

“…For the actual operation of the decentralized resources in the alpine virtual power plant, we determined the power provided by the alpine virtual power plant to the electric power system as well as the adjustable power capacity and other scheduling parameters, and then designed the dispatch model objective with the decentralized resource power and scheduling parameters based on the imitator dynamic algorithm. The model incorporates constraints based on these parameters to enable effective aggregation of adjustable power ranges for both individual resources and the entire virtual power plant, while ensuring compliance with all power constraints. …”
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A genetic algorithm-based solution for multi-type maximal covering location problem (MMCLP): application to defense and deterrence by J.D. Lessan, Geoff Pond

“…Due to the complexity of the MIP formulation, we propose a hybrid metaheuristic solution approach, for which a genetic algorithm (GA) is proposed and integrated with local and large neighborhood search operators. …”
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Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3 by Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi

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FedCLCC: A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing by Kangning Yin, Xinhui Ji, Yan Wang, Zhiguo Wang

“…FL can facilitate data-driven decision-making in tactical scenarios, effectively addressing both data volume and infrastructure challenges in edge environments. …”
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A Real-Time High-Resolution Multi-Focus Image Fusion Algorithm Based on Multi-Scale Feature Aggregation by Huawei Chen, Xingkai Du, Hongchuan Huang, Tingyu Zhao

“…The experimental results show that the proposed algorithm excels in both focused region extraction and computational efficiency evaluation. …”
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