Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

“…To address the challenges of low path planning efficiency for autonomous undersea vehicle(AUV) in multi-target environments, as well as the limitations of the traditional whale optimization algorithm(WOA) in terms of susceptibility to local optima and inadequate adaptability to three-dimensional obstacle avoidance requirements, this study proposed a collaborative planning strategy that integrated a fluid perturbation algorithm with an improved WOA. …”
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Smooth and Time-Optimal Trajectory Planning for Robots Using Improved Carnivorous Plant Algorithm by Bo Wei, Changyi Liu, Xin Zhang, Kai Zheng, Zhengfeng Cao, Zexin Chen

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Improving lameness detection in cows: A machine learning algorithm application by Elma Dervić, Caspar Matzhold, Christa Egger-Danner, Franz Steininger, Peter Klimek

“…ABSTRACT: The deployment of diverse data-generating technologies in livestock farming holds the promise of early disease detection and improved animal well-being. In this paper, we combine routinely collected dairy farm and herd data with weather and high-frequency sensor data from 6 farms to predict new lameness events in various future periods, spanning from the following day to 3 wk. …”
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Improvement of Dung Beetle Optimization Algorithm Application to Robot Path Planning by Kezhen Liu, Yongqiang Dai, Huan Liu

“…Experimental results demonstrate that TSDBO exhibits significant improvements in all aspects compared to other modified algorithms across 12 benchmark tests. …”
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Improvement of Algorithm for Formation of Orthogonal Components of Input Quantities in Microprocessor Protection by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, I. V. Novash

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Energy-Aware Distributed Clustering Algorithm for Improving Network Performance in WSNs by Joon-Ik Kong, Jin-Woo Kim, Doo-Seop Eom

“…Simulation results show improved performance when our algorithm is used.…”
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Improving doublet cell removal efficiency through multiple algorithm runs by Yong She, Chaoye Wang, Qi Zhao

“…We found that in real-world datasets, the DoubletFinder had a better performance in MRDR strategy compared to a single removal of doublets and the recall rate improved by 50 % for two rounds of doublet removal compared to one round, and the performance of the other three doublet algorithms improved the ROC by about 0.04. …”
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Multimedia Vision Improvement and Simulation in Consideration of Virtual Reality Reconstruction Algorithms by Jing He

“…In this study, the virtual reality reconstruction algorithm is applied to multimedia vision, the virtual reality image is corrected by using the binocular offset positioning method, the denoising process is performed in the image reconstruction process, and the high-pass filter matrix is used to improve the image reproduction. …”
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Genetic algorithm efficiency improvement in the course of set cover problem solution by I. S. Konovalov, V. A. Fatkhi, V. G. Kobak

“…Recommendations are given to improve the efficiency of covering problem solution. …”
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A NOVEL SERPENT ALGORITHM IMPROVEMENT BY THE KEY SCHEDULE INCREASE SECURITY by Hassan Rahmah Zagi, Abeer Tariq Maolood

“…AES Algorithm Proposals. In this paper, a new proposal is presented to improve and support the confidentiality of data while adhering to the external structure of the standard algorithm, relying on designing a new approach to the key generation function because the sobriety of block cipher relies on the use of a strong and unique key. …”
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Performance improvement of data offloading using Krill herd optimization algorithm by Maryam Jawad Kadhim, Rasool Sadeghi, Ahmad Shaker Abdalrada, Behdad Arandian, Reihaneh Khorsand

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Vehicle detection and recognition algorithm based on function improvement of YOLOv3 by SONG Huajie, ZHOU Lei

“…In view of this defect, the loss function of YOLOv3 algorithm was improved, the wide-height coordinate error was modified into the form of proportion, the non-maximum suppression method of the original model was improved and the overlap threshold was changed from the fixed value to the form of attenuation function. …”
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The Improvement Based on the DV-Hop Localization Algorithm for Wireless Sensor Networks by DONG Jing-wei, YANG Guang, LIU Yang, Zhang Tian-qi

“…The simulation result shows that compared to the traditional DV-Hop algorithm，the accuracy of the improved algorithm increased by about 30% in distance measurement as well as rose approximately by 35% in relative localization precision.…”
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An Application of Quasi Newton Algorithm and Improvement of Sliding Surface for Robot Control by Chi-Ngon Nguyen, Thanh Tung Pham

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Eel and Grouper Optimizer improvement three-stage algorithm for photovoltaic MPPT by ZiJian Zhou, YanHong Fang

“…In order to solve this problem, the latest intelligent optimization algorithm, Eel and Grouper Optimizer (EGO), is used to integrate chaos mapping, Grasshopper Optimization Algorithm (GOA) and other improved methods on the basis of the original algorithm. …”
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Resolving the Credibility Crisis: Recommendations for Improving Predictive Algorithms for Clinical Utility by Stephen Ruberg, Sandeep Menon, Charmaine Demanuele

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An Enhanced Crowned Porcupine Optimization Algorithm Based on Multiple Improvement Strategies by Wenli Lei, Yifan Gu, Jianyu Huang

“…To address these issues, this paper proposes an enhanced Crowned Porcupine Optimization algorithm (ICPO) based on multiple improvement strategies. …”
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Food sorting trajectory optimization based on improved NURBS and Delta parallel robots by CHEN Guangdong, SHAO Jian, WANG Feini, ZHAO Xuecheng

“…ObjectiveReduce the running time and impact of Delta robot in food sorting trajectory, improve the efficiency and stability of Delta robot operation.MethodsBased on the analysis of the food sorting system (using Delta robots), a Delta robot food sorting trajectory optimization method was proposed, which combined NURBS algorithm, sparrow search algorithm and butterfly optimization algorithm. …”
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IMPROVING THE HYDRAULIC DRIVE OF THE MOTOR GRADER by V. S. Sherbakov, Yu. E. Ionova

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Malware detection approach based on improved SOINN by Bin ZHANG, Lixun LI, Shuqin DONG

“…To deal with the problems of dynamic update of detection model and high computation costs in malware detection model based on batch learning,a novel malware detection approach is proposed by combing SOINN and supervised classifiers,to reduce computation costs and enable the detection model to update dynamically with the assistance of SOINN′s incremental learning characteristic.Firstly,the improved SOINN was given.According to the whole alignment algorithm,search the adjusted weights of neurons under all input sequences in the learning cycle and then calculate the average value of all adjusted weights as the final result,to avoid SOINN′s stability under different input sequences and representativeness of original data,therefore improve malware detection accuracy.Then a data preprocessing algorithm was proposed based on nonnegative matrix factor and Z-score normalization to transfer the malware behavior feature vector from high dimension and high order to low dimension and low order,to speed up and avoid overfitting and further improve detection accuracy.The results of experiments show that proposed approach supports dynamic updating of detection model and has a significantly higher accuracy of detecting unknown new samples and lower computation costs than tradition methods.…”
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