Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach by Asraar Anjum, Abdul Aabid, Meftah Hrairi

“…To optimize performance, we utilized machine learning algorithms to examine how these characteristics affect the repair process. …”
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In-Network Filtering Schemes for Type-Threshold Function Computation in Wireless Sensor Networks by Guillermo G. Riva, Jorge M. Finochietto

“…Both of them are based on the integration of metaheuristics and learning algorithms inspired by nature. In particular, we consider the computation of the maximum function as case study for these schemes. …”
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A security detection approach based on autonomy-oriented user sensor in social recommendation network by Shanshan Wan, Ying Liu

“…Then, AOUSD is first simulated on NetLogo and it is compared with other algorithms based on the Amazon data. The results prove the advantages of AOUSD in the efficiency and accuracy on shilling attack detection.…”
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Bulk Handling Facility Modeling and Simulation for Safeguards Analysis by Benjamin B. Cipiti, Nathan Shoman

“…Machine learning techniques are being applied, but these techniques need large amounts of data for training and testing the algorithms. The SSPM can provide that training data. …”
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Treatment response rate and life prognosis at autoimmune liver diseases by K. V. Ivashkin, Ye. N. Shirokova, V. T. Ivashkin

“…Article presents up-to-date management algorithms and new promising agents, demonstrates complexities and alternative variants of treatment of autoimmune liver diseases.Conclusion. …”
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Comparative study on the drying mechanisms and characteristic changes of fabrics according to heat transfer principles by Jiyul Lee, Jaeyong Cho, Suhyun Lee

“…The findings of this study are expected to help develop automatic drying algorithms for household dryers.…”
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Distributed Arithmetic for Efficient Base-Band Processing in Real-Time GNSS Software Receivers by Grégoire Waelchli, Marcel Baracchi-Frei, Cyril Botteron, Pierre-André Farine

“…It then describes the already existing solutions and, from this, introduces a new algorithm based on distributed arithmetic.…”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…Many analyses include multiple Machine Learning algorithms for various disease assessments and predictions to improve overall issues. …”
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Incremental Bilateral Preference Stable Planning over Event Based Social Networks by Boyang Li, Yurong Cheng, Guoren Wang, Yongjiao Sun

“…We conduct extensive experiments to verify the efficiency and effectiveness of the proposed algorithms.…”
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Output-Only Modal Analysis Based on Improved Empirical Mode Decomposition Method by Shiqiang Qin, Qiuping Wang, Juntao Kang

“…The modal parameters extracted based on the improved EMD method show good agreement with those extracted by conventional modal identification algorithms.…”
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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

“…The predicted offsets can then be used for physical radar alignment or integrated into compensation algorithms to enhance data interpretation accuracy in ADAS applications. …”
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Research on Load Balancing and Caching Strategy for Central Network by Zhi-hong Wang, A-liang Dong

“…By analyzing the load scheduling requirements of network nodes, combined with the transmission characteristics of resource requests in the central network, a cache node load balancing method suitable for the requirements of the central network was proposed based on the existing load balancing algorithms. In addition, by analyzing the cache management strategy and its impact on the performance of the network system, a cache node information forwarding model with resource requests as the object in the central network environment was given. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…The findings illustrate that RFR is achieving better performance than the other two algorithms, as the predicted magnitudes are close to the actual magnitudes. …”
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Automatic Lane Line Detection System Based on Artificial Intelligence by Gaoqing Ji, Yunchang Zheng

“…Compared with other algorithms, it is significantly improved in detection accuracy and real-time performance. …”
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Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

“…Interestingly, our experiment shows that the Random Forest algorithm yields an accuracy of 0.97, which justifies our methodology. …”
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Cross-Layer Optimization Scheme Using Cooperative Diversity for Reliable Data Transfer in Wireless Sensor Networks by Yongrui Chen, Fei Qin, Yulong Xing, Dujdow Buranapanichkit

“…By utilizing a cross-layer optimization scheme, distributive algorithms which jointly consider routing, relay selection, and power allocation strategies are proposed for the reliability constraint wireless sensor networks. …”
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H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems by Dong Xue, Jing Yao, Jun Wang

“…Simulation results in this paper show that the proposed formation algorithms can effectively allow the multiagent system to avoid penetration into obstacles while accomplishing prespecified global objective successfully.…”
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Evaluation of Sea Ice Motion Estimates from Enhanced Resolution Passive Microwave Brightness Temperatures by Walter N. Meier, J. Scott Stewart

“…Satellite imagery can be used to track the motion of sea ice via cross-correlation feature tracking algorithms. Such a method has been used for the National Snow and Ice Data Center (NSIDC) sea ice motion product, based largely on passive microwave imagery. …”
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Multiobjective Particle Swarm Optimization Based on Ideal Distance by Shihua Wang, Yanmin Liu, Kangge Zou, Nana Li, Yaowei Wu

“…Finally, IDMOPSO, several other popular MOPSOs and MOEAs were simulated on the benchmarks functions to test the performance of the proposed algorithm using IGD and HV indicators. The experimental results show that IDMOPSO has the better convergence, diversity, and excellent solution ability compared to the other algorithms.…”
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Gearbox Fault Identification and Classification with Convolutional Neural Networks by ZhiQiang Chen, Chuan Li, René-Vinicio Sanchez

“…Comparing with peer algorithms, the present method exhibits the best performance in the gearbox fault diagnosis.…”
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