Optimum sizing of hybrid sustainable and renewable energy systems using a modified harris hawks optimizer by Djamel Eddine Sifou, Aissa Kheldoun, Ahmed Chaib, Hamza Belmadani, Hisham Alharbi, Saleh S. Alharbi, Takele Ferede Agajie, Sherif S.M. Ghoneim

“…To boost the use of renewable energy sources while maintaining reliability and affordability, Multi-source renewable and sustainable energy systems must be optimally sized. This research introduces a stand-alone metaheuristic algorithm for designing a hybrid sustainable and renewable energy system combining Wind turbine, PV and battery system. …”
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Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy by Wen FAN, Lian GE, Xiaoting XIAO, Fangji GAN, Xin LAI, Hongxia DENG, Qi HUANG

“…A new fitness function combining differential evolution (DE) algorithm with gray wolf optimization (GWO) algorithm is proposed to form a new hybrid optimization algorithm, named DEGWO. …”
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Hybrid chaotic firefly decision making model for Parkinson’s disease diagnosis by Sujata Dash, Ajith Abraham, Ashish Kr Luhach, Jolanta Mizera-Pietraszko, Joel JPC Rodrigues

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UASI-PRECISE CONTROL OF AN AUTONOMOUS MOBILE ROBOT by V.R. Aleksandrov, N.V. Azarnov, A.A. Schetkin, A.P. Kushnir, R.M. Оgoreltcev

“…Results. An algorithm of relay control with an artificial dead zone and an algorithm of obstacle avoidance in a local environment based on quasi-fuzzy logic are proposed. …”

Follow That Tune – Adaptive Approach to DTW-based Query-by-Humming System by Bartłomiej STASIAK

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Application of selective ensemble learning soft sensor modeling based on GPR in the solar thermal power collection system by Yalu Sun, Kun Ding, Changhai Yang, Zhuxiu Wang

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A Survey on Fail-safe Motion Planning Methods for Autonomous Driving by TANG Shiqi, LI Bai, ZHANG Youmin

“…Compared with the classical motion planning algorithm, the fail-safe motion planning algorithm is committed to generating local motion trajectories that ensure the safety of passengers and vehicles as much as possible, and makes full use of the remaining automatic driving ability (perception, decision-making and control ability), so as to fully explore the potential and intelligent attributes of motion planning to make up or alleviate the possible faults of each module of the system. …”
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Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing by Upma Arora, Nipur Singh

“…Also, it improves the execution time significantly in most network configurations. Our research contributes to providing a very reliable means for placing applications in the fog-cloud infrastructure as our fusion algorithm makes it a very stable and scalable for CPU bound tasks in fog and cloud computing environment. …”
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Penentuan Rute Kendaraan Heterogen Menggunakan Algoritma Insertion Heuristic by Nanda Saputra, Prima Denny Sentia, Andriansyah

“…This implies that the algorithm generated solution is quite good as one of the heuristic approaches that result in optimal local solutions. …”
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Double Panel Structure for Active Control of Noise Transmission by Leszek MORZYŃSKI, Grzegorz SZCZEPAŃSKI

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Convolutional neural network-based low light image enhancement method by J. Guo

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Hybrid Unsupervised Machine Learning for Insurance Fraud Detection: PCA-XGBoost-LOF and Isolation Forest by Natsai Chapwanya, Karikoga Norman Gorejena

“…To combat this issue, this study proposes a novel unsupervised machine learning hybrid algorithm, integrating Principal Component Analysis (PCA), Extreme Gradient Boosting (XGBoost), Local Outlier Factor (LOF), and Isolation Forest. …”
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Accurate and Fast Convergent Initial-Value Belief Propagation for Stereo Matching. by Xiaofeng Wang, Yiguang Liu

“…The belief propagation (BP) algorithm has some limitations, including ambiguous edges and textureless regions, and slow convergence speed. …”
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. by Xiying Wang

“…To achieve this, irrigation flow prediction in agricultural fields is chosen as the research topic. Firstly, the BPNN principles are studied, revealing issues such as sensitivity to initial values, susceptibility to local optima, and sample dependency. …”
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Evaluating textural descriptors for automated image classification of stony reefs in turbid temperate waters by Saulė Medelytė, Yuri Rzhanov, Andrius Šiaulys, Kim Lowell

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Path planning of mobile robot based on improved PRM and APF by Wanqiang Xi, Junzhi Lin, Ziyan Shao

“…However, the APF algorithm often encounters challenges such as local minima and unreachable goals in complex environments. …”
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An Effective QoS-Aware Hybrid Optimization Approach for Workflow Scheduling in Cloud Computing by Min Cui, Yipeng Wang

“…However, developing effective workflow scheduling algorithms to find optimal or near-optimal task-to-VM allocation solutions that meet users’ specific QoS requirements still remains an open area of research. …”
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Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks by Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng

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Automated non-destructive phenotyping of Camellia oleifera seedlings based on 3D point clouds by Yang Zhou, Yongbin Wang, Wei Long, Tonggui Wu

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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology by Xinghuo Ye, Qianyi Wang

“…The experimental results of this article show that the active contour image segmentation algorithm can not only ensure the image segmentation algorithm but also reduce the number of iterations and shorten the image segmentation time. …”
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