Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

“…The results show that when compared with the original unimproved algorithm, the improved algorithm not only improves the image brightness, but also provides higher color richness and no color distortion, while improving the standard deviation by an average of 20.01%, reducing the natural image quality evaluation by 9.16%, and improving the average gradient and information entropy by 23.68% and 6.46% respectively.ConclusionThe improved algorithm represents a breakthrough in image visual quality, enabling the better enhancement of maritime low-light images in different environments.…”
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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

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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 information gain algorithm is used to calculate the weights of each of the attributes. …”
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Unraveling Meteorological Dynamics: A Two-Level Clustering Algorithm for Time Series Pattern Recognition with Missing Data Handling by Ekaterini Skamnia, Eleni S. Bekri, Polychronis Economou

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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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On virtual-force algorithms for coverage-optimal node deployment in mobile sensor networks via the two-dimensional Yukawa crystal by Rongxin Tang, Xin Qian, Xiangyu Yu

“…Via simulation studies, we determined that the topology resulting from the VFA-DP is much closer to a hexagon. The analysis also indicated that the VFA-DP converges faster than another virtual-force algorithm based on the Lennard-Jones potential (VFA-LJ), resulting in lower communication-related energy costs in real deployment scenarios. …”
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Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm by Tung Tran The, Dieu Vo Ngoc, Nguyen Tran Anh

“…This paper proposes a chaotic stochastic fractal search algorithm (CSFSA) method to solve the reconfiguration problem for minimizing the power loss and improving the voltage profile in distribution systems. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…Visualization of the relationships between numerical features also reveals significant correlation patterns between physiological variables and patient anxiety levels. …”
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Enhanced Wind Power Forecasting Using a Hybrid Multi-Strategy Coati Optimization Algorithm and Backpropagation Neural Network by Hua Yang, Zhan Shu, Zhonger Li

“…Evaluated on the CEC2017 benchmark, the SZCOA outperformed state-of-the-art algorithms, including ICOA, DBO, and PSO, achieving superior convergence speed and solution accuracy. …”
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Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays by Dony Darmawan Putra, Wan-Jen Huang

“…Moreover, the simulation results also show that the spectral efficiency of the precoding scheme determined using the proposed search algorithm and codebook is the highest compared to existing methods. …”
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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

“…Numerous researchers have proposed various intelligent optimization algorithms to address the DPFSP; however, there are fewer studies related to the multi-objective DPFSP problem, and the algorithms for solving this problem also suffer from poor solution quality and tend to fall into local optimization and so on. …”
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Stochastic‐gradient‐based control algorithms for power quality enhancement in solar photovoltaic interfaced three‐phase distribution system by Dinanath Prasad, Narendra Kumar, Rakhi Sharma, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Mohammad Asef Hossaini

“…Abstract Here, stochastic‐gradient‐based adaptive control algorithms have been discussed and employed for power quality enhancement in a Photovoltaics (PV) integrated distribution system. …”
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An unmanned intelligent inspection technology based on improved reinforcement learning algorithm for power large-area multi-scene inspection by Enmin Wang, Xin Meng, Jinglong Yu, Jiechang Wang, Liang Yin

“…To enhance search efficiency and optimize the reinforcement learning algorithm, prior environmental knowledge is added as heuristic information during the initialization process of the standard Q-learning algorithm, mitigating the randomness of early exploration. …”
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A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

“…The purpose of this study was to evaluate the performance of meta-heuristic optimization algorithms for feature selection to increase the Salmonella occurrence prediction success of commonly used algorithms in agricultural waters. …”
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RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

“…The widespread cultivation of apples highlights the importance of efficient and accurate apple detection algorithms in robotic picking technology. The accuracy of current apple picking detection algorithms is still limited when the distribution is dense and occlusion exists, and there is a significant challenge in deploying current high accuracy detection models on edge devices with limited computational resources. …”
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Global Optimal Solving Algorithm for Power Distribution Based on Selective Harmonic Elimination in Cascaded H-Bridge Multilevel Inverters by Xingyue Qian, Jun Hao, Jiajia Xiao, Hanzhi Yang, Qi Zhang, Zhibao Yuan

“…In addition, the issue of redundancy of solution is also analyzed and solved by adding valid constraints. …”
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Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples by Jochen Maurer, Matthias Rübner, Chao-Chung Kuo, Birgit Klein, Julia Franzen, Julia Wittenborn, Tomas Kupec, Laila Najjari, Peter Fasching, Elmar Stickeler

“…Results and conclusion: Using a random forest algorithm, we identified a signature of 275 miRNAs that allows the detection of invasive breast cancer in urine. …”
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Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments by Wenqiang Wu, Chuixin Kong, Zhongmin Xiao, Qianping Huang, Mingfeng Yu, Zhiye Ren

“…This paper introduces a multi-indicator heuristic evaluation-based rapidly exploring random tree (MIHE-RRT) algorithm to address the key challenges of robot path planning in complex environments. …”
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A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks by LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song

“…Then, after the pre-processing operation, the process of segmentation and identification of the region of interest (ROI) is performed using a combination of the fuzzy c-means (FCM) algorithm and the capuchin search algorithm (CapSA) algorithm. …”
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A Novel Ship Fuel Sulfur Content Estimation Method Using Improved Gaussian Plume Model and Genetic Algorithms by Chao Wang, Hao Wu, Nini Wang, Zhirui Ye

“…Maritime transportation plays a vital role in global economic development but is also a significant contributor to air pollution, especially through emissions of SO₂, NO_x, and CO₂. …”
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