Multiobjective Particle Swarm Optimization Based on Ideal Distance by Shihua Wang, Yanmin Liu, Kangge Zou, Nana Li, Yaowei Wu

“…Recently, multiobjective particle swarm optimization (MOPSO) has been widely used in science and engineering, however how to effectively improve the convergence and distribution of the algorithm has always been a hot research topic on multiobjective optimization problems (MOPs). …”
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MIMO With 1-b Pre/Postcoding Resolution: A Quantum Annealing Approach by Ioannis Krikidis

“…By using the principles of alternating optimization and quantum annealing (QA), an iterative QA-based algorithm is proposed that achieves near-optimal performance with polynomial complexity. …”
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Frequency Diverse Array Target Localization Based on IPSO-BP by Qinghua Liu, Kai Ding, Bingsen Wu, Quanmin Xie

“…The simulation experiments show that the proposed algorithm has better target localization effect and convergence speed, compared with FDA-BP and FDA-MUSIC algorithms.…”
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Optimization of the Intelligent Sports Health Management System Based on Big Data Technology and Internet of Things by Jian Dang

“…Firstly, a new multilabel feature selection algorithm is proposed in the system analysis layer. …”
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LπCET: A Logic Security Analysis for Cryptographic Protocols Based on π-Calculus Extension Theory by Fusheng Wu, Jinhui Liu, Yanbin Li, Mingtao Ni

“…This paper introduces logical rules and logical proofs, binary tree, and the KMP algorithm and proposes a new extension of the π-calculus theory, a logical security analysis method, and an algorithm. …”
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Space Object Detection in Video Satellite Images Using Motion Information by Xueyang Zhang, Junhua Xiang, Yulin Zhang

“…Experimental results with a video image from the Tiantuo-2 satellite show that this algorithm provides a good way for space object detection.…”
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Multiple Kernel Spectral Regression for Dimensionality Reduction by Bing Liu, Shixiong Xia, Yong Zhou

“…Traditional manifold learning algorithms, such as locally linear embedding, Isomap, and Laplacian eigenmap, only provide the embedding results of the training samples. …”
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Another View on Soft Expert Set and Its Application in Multi-Criteria Decision-Making by Abid Khan, Muhammad Zainul Abidin, Muhammad Amad Sarwar

“…In addition, a novel multi-criteria decision-making (MCDM) approach is proposed based on the revised SES framework, along with its concrete algorithm. The proposed algorithm is applied to a supply chain problem, and its results are compared with two existing SES-based decision-making approaches. …”
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Online Supervised Learning with Distributed Features over Multiagent System by Xibin An, Bing He, Chen Hu, Bingqi Liu

“…Most current online distributed machine learning algorithms have been studied in a data-parallel architecture among agents in networks. …”
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Effective Data Transmission and Control Based on Social Communication in Social Opportunistic Complex Networks by Weiyu Yang, Jia Wu, Jingwen Luo

“…With this kind of algorithm, when the social network is broadcasting, this algorithm analyzes whether the conditions for successive interference cancellation are satisfied between the broadcast links on the assigned transmission time slice. …”
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Coordinate Descent-Based Sparse Nonnegative Matrix Factorization for Robust Cancer-Class Discovery and Microarray Data Analysis by Melisew Tefera Belachew

“…We test this algorithm on two well-known cancer datasets: leukemia and multiple myeloma. …”
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Efficient Execution of Service Composition for Content Adaptation in Pervasive Computing by Yaser Fawaz, Girma Berhe, Lionel Brunie, Vasile-Marian Scuturici, David Coquil

“…Finally, a performance evaluation of the algorithm and the protocols is presented.…”
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Risk Intelligence: Making Profit from Uncertainty in Data Processing System by Si Zheng, Xiangke Liao, Xiaodong Liu

“…To well address the issue, in this paper we design and implement RiskI, a profile-based prediction algorithm in conjunction with a riskaware task assignment algorithm, to accelerate task executions, taking the uncertainty nature of tasks into account. …”
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Improved method of step length estimation based on inverted pendulum model by Qi Zhao, Boxue Zhang, Jingjing Wang, Wenquan Feng, Wenyan Jia, Mingui Sun

“…Our experimental results show that our algorithm performs well in step length estimation. …”
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An Improved Image Processing Based on Deep Learning Backpropagation Technique by Yang Gao, Yue Tian

“…Experimental results showed the backpropagation algorithm achieved better results than other algorithms.…”
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Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

“…This paper utilizes the EnergyPlus API to directly call the simulation engine from within the optimization algorithm. The genetic neural network algorithm iteratively modifies design parameters (e.g., building orientation, insulation levels etc) and evaluates the resulting energy performance using EnergyPlus. …”
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Vehicle Driving Risk Prediction Based on Markov Chain Model by Xiaoxia Xiong, Long Chen, Jun Liang

“…The algorithm could contribute to timely warning or auxiliary correction to drivers in the approaching-danger state.…”
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Partial Storage Optimization and Load Control Strategy of Cloud Data Centers by Klaithem Al Nuaimi, Nader Mohamed, Mariam Al Nuaimi, Jameela Al-Jaroodi

“…Only partial replication is used in this algorithm to ensure the reliability and availability of the data. …”
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Machine Learning with Variable Sampling Rate for Traffic Prediction in 6G MEC IoT by Rongqun Peng, Xiuhua Fu, Tian Ding

“…Then, we propose a VSR-LSTM algorithm for real-time prediction of network traffic. …”
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FloorLoc-SL: Floor Localization System with Fingerprint Self-Learning Mechanism by Kornkanok Khaoampai, Kulit Na Nakorn, Kultida Rojviboonchai

“…It has a self-learning algorithm for creating fingerprint in each floor. The self-learning algorithm utilizes sensors on the mobile phone for detecting trace of mobile phone user. …”
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