Positive Macroscopic Approximation for Fast Attribute Reduction by Zheng-Cai Lu, Zheng Qin, Qiao Jing, Lai-Xiang Shan

“…Based on PMA, a fast heuristic search algorithm for attribute reduction in incomplete decision systems is designed and achieves obviously better computational efficiency than other available algorithms, which is also demonstrated by the experimental results.…”
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Prediction of Mg Alloy Corrosion Based on Machine Learning Models by Zhenxin Lu, Shujing Si, Keying He, Yang Ren, Shuo Li, Shuman Zhang, Yi Fu, Qi Jia, Heng Bo Jiang, Haiying Song, Mailing Hao

“…The RF algorithm offered the most accurate predictions than the other three machine learning algorithms. …”
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High Performance GPU-Based Fourier Volume Rendering by Marwan Abdellah, Ayman Eldeib, Amr Sharawi

“…The introduction of the compute unified device architecture (CUDA) technology enables embarrassingly-parallel algorithms to run efficiently on CUDA-capable GPU architectures. …”
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Ultrasonic Total Focusing Imaging Method of Multilayer Composite Structures Using the Root-Mean-Square (RMS) Velocity by Xufei Guo, Yan Han

“…However, the imaging performance and efficiency of these algorithms are different.…”
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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…Since the temporal variation of rural road traffic is irregular, the performance of applied algorithms varies among different time intervals. To find the most precise prediction for each time interval for segments, several ensemble methods, including voting methods and ordinal logit (OL) model, are utilized to ensemble predictions of four machine learning algorithms. …”
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Extracting the Complete Travel Trajectory of Subway Passengers Based on Mobile Phone Data by Junwei Zhang, Wei Wu, Qixiu Cheng, Weiping Tong, Anish Khadka, Xiao Fu, Ziyuan Gu

“…The results show that the proposed algorithms can effectively extract the complete travel trajectory of subway passengers.…”
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Robot Obstacle Avoidance Learning Based on Mixture Models by Huiwen Zhang, Xiaoning Han, Mingliang Fu, Weijia Zhou

“…We briefly surveyed the existing obstacle avoidance algorithms; then a new obstacle avoidance learning framework based on learning from demonstration (LfD) is proposed. …”
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Combinatorial Robust Optimization with Decision-Dependent Information Discovery and Polyhedral Uncertainty by Omer, Jérémy, Poss, Michael, Rougier, Maxime

“…We extend this formulation to more general nominal problems through column generation and constraint generation algorithms. We illustrate our reformulations and algorithms numerically on the selection problem, the orienteering problem, and the spanning tree problem.…”
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A Causal Model for Safety Assessment Purposes in Opening the Low-Altitude Urban Airspace of Chinese Pilot Cities by Jun Tang, Wenyuan Yang

“…First, we present a detailed mathematical description of the proposed algorithms based on a spatial grid partitioning system (SGPS). …”
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A Methodology for Clustering Items with Seasonal and Non-seasonal Demand Patterns for Inventory Management by Burak Kandemir

“…In this paper, we propose two algorithms, one based on statistical analysis and the other an unsupervised machine learning algorithm using K-means clustering, both of which differ-entiate seasonal and non-seasonal products where an item’s variation is evaluated with respect to seasonality of the product group it belongs to. …”
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Lightweight attention-based SAR ship detector by YU Nanjing, FENG Daquan, ZHU Ying, ZHANG Hengjia, LU Ping

“…With excellent learning performance, convolutional neural networks are employed in the SAR ship detection algorithms. However, it is difficult to extract features. …”
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Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks by Ruiguo Yu, Zhenxia Yuan, Mankun Zhao, Mei Yu, Xu Lu

“…And then, we designed a new traffic allocation algorithm. Compared with other algorithms, the algorithm proposed in this paper has much wider applicability. …”
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Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge by Huidong He, Xiaoqian Mao, Wei Li, Linwei Niu, Genshe Chen

“…Finally, we compare the segmentation effect with Canny edge detection and Log edge detection algorithms. The results show that the FCE-based approach performs best in the color image segmentation.…”
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Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning by Hongwei Yi, Huan Zhang, Jianghong Li, Yanling Zhao

“…In this paper, a mixed intelligent optimization strategy combining the proximal policy optimization (PPO) algorithm from reinforcement learning and the goat swarm optimization (GSO) algorithm is proposed. …”
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A Novel Access Control and Energy-Saving Resource Allocation Scheme for D2D Communication in 5G Networks by Ning Du, Kaishi Sun, Changqing Zhou, Xiyuan Ma

“…The proposed two algorithms are better than the energy efficiency optimization algorithm.…”
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Sketch-Based Spatial Queries for the Retrieval of Human Locomotion Patterns in Smart Environments by Gamhewage C. de Silva, Toshihiko Yamasaki, Kiyoharu Aizawa

“…Directional search algorithms based on the minimum distance between points are applied for finding the best matches to the sketch. …”
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Enhancing a Commercial Game Engine to Support Research on Route Realism for Synthetic Human Characters by Gregg T. Hanold, Mikel D. Petty

“…Existing route planning algorithms, including the widely used A* algorithm, are generally intended to achieve optimality in some metric, such as minimum length or minimum time. …”
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Challenges in the Diagnosis and Management of Autoimmune Hepatitis by Albert J Czaja

“…BACKGROUND: Autoimmune hepatitis has diverse clinical phenotypes and outcomes that challenge current diagnostic criteria and management algorithms.…”
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Multinomial logit death forecasting model by Audronė Jakaitienė

“… The multinomial regression logit model is analyzed. The algorithms and software are made for this model in order to get estimation of parameters. …”
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Fast Skyline Community Search in Multi-Valued Networks by Dongxiao Yu, Lifang Zhang, Qi Luo, Xiuzhen Cheng, Jiguo Yu, Zhipeng Cai

“…Extensive experiments on real-world datasets demonstrate the efficiency and effectiveness of our algorithms.…”
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