Predicting safety attitudes in aviation maintenance using machine learning: An exploratory study by Christos Emexidis, Anna V. Chatzi, Kyriakos I. Kourousis

“…The Random Forest machine learning algorithm was utilised to identify the relationships and to enable predictions. …”
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Bio-Inspired ACO-based Traffic Aware QoS Routing in Software Defined Internet of Things by Shreyas J, Anand Jumnal, Udayaprasad P K, Rekha C, S. S. Askar, Mohamed Abouhawwash

“…For networks to satisfy Quality-of-Service (QoS) standards in the Software-Defined IoT (SDIoT) network, efficient algorithms for routing are required. In SDIoT framework, this research proposes to develop a traffic-aware QoS routing algorithm dependent on ant behavior. …”
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An XGBoost-SHAP Model for Energy Demand Prediction With Boruta–Lasso Feature Selection by Yiwen Wang, Weibin Cheng, Yuting Jin, Jifei Li, Yantian Yang, Shaobing Hu

“…In recent years, machine learning (ML) algorithms have been extensively used in energy demand prediction but with poor interpretability. …”
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REDEN: Named Entity Linking in Digital Literary Editions Using Linked Data Sets by Carmen Brando, Francesca Frontini, Jean-Gabriel Ganascia

“…This paper proposes a graph-based Named Entity Linking (NEL) algorithm named REDEN for the disambiguation of authors’ names in French literary criticism texts and scientific essays from the 19th and early 20th centuries. …”
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OPTIMIZING THE PLACEMENT OF A BATCH OF WORK-PIECES AT A MULTI-POSITION ROTARY TABLE OF TRANSFER MACHINE by N. N. Guschinsky, B. M. Rozin

“…To solve this problem the mathematical model and heuristic PSO algorithm are proposed. The results of numerical experiments for series of real problems are reported. …”
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COMPARISON OF DIGITAL IMAGE STEGANOGRAPHY METHODS by S. A. Seyyedi, R. Kh. Sadykhov

“…We also identify the requirements of a good steganography algorithm and compare various such algorithms.…”
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Suppression of Ferroresonance in Switch Gears with Voltage Transformer and Reduction of Cumulative Overvoltages by Y. V. Dmitriyev, A. M. Hashimov, I. R. Pivchik, S. I. Hasanova

“…The paper contains an algorithm for numerical experiment and computer modelling of ferroresonance and switching overvoltages having cumulative character and protection against these overvoltages. …”
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Analysis of Subgradient Extragradient Iterative Schemes for Variational Inequalities by Danfeng Wu, Li-Jun Zhu, Zhuang Shan, Tzu-Chien Yin

“…Strong convergence analysis of the proposed algorithms have been obtained under some mild conditions.…”
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Search and detection of remote sensing objects by A. I. Mitsiukhin

“…In comparison with the famous search algorithms described algorithm allows to reduce time of search, computational complexity of digital imaging, simplifies the decoding images. …”
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Research on Key Technologies of Reconfiguration of Railway Computer Interlocking Software by Junying CHU, Tong SUN, Ri LIU, Dewei LI, Sheng ZHANG, Xinwei LIU

“…On this basis, a new computer interlocking route search algorithm was proposed by using recursive algorithm to achieve the goal of reusing the upper computer software of the whole computer interlocking system. …”
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The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments by Mohammed F. Hadi

“…This argument is most germane to methods that involve large data sets with relatively limited computational density—in other words, algorithms with small ratios of floating point operations to memory accesses. …”
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Propagation Analysis for Automated Switching of Embedded RFID with GPS in Wireless Sensor Network Platform by F. A. Poad, W. Ismail

“…Energy efficiency, robustness, and reliability are key factors in the design algorithm of the system. Comparisons are made between the existing active RFID system and the proposed active RFID system to study the performance of the proposed RFID system with an automated switching algorithm implemented on it. …”
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Three-Component Forward Modeling for Transient Electromagnetic Method by Bin Xiong

“…In this paper, a three-component forward algorithm for 2.5D TEM based on the independent electric and magnetic field has been developed. …”
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Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD by Bin Zhang, Shuqi Fang, Zhixi Li

“…The detection speed of the improved SSD algorithm is 55FPS, and the mAP (mean Average Precision) is up to 83.65%, which is 3.41% higher than of the original SSD algorithm, and the ability to identify small defects is significantly improved.…”
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Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting by Jelena Fiosina, Maksims Fiosins

“…We used MapReduce paradigm and describe the algorithms in terms of SPARK data structures to parallelize the calculations. …”
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A Comparative Study of EAG and PBIL on Large-Scale Global Optimization Problems by Imtiaz Hussain Khan

“…Estimation of Distribution Algorithms (EDAs) use global statistical information effectively to sample offspring disregarding the location information of the locally optimal solutions found so far. …”
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Performance of quantum approximate optimization with quantum error detection by Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia

“…Abstract The quantum approximate optimization algorithm (QAOA) is a promising candidate for scaling up to tackle real-world applications. …”
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Analytic Solution for the Strongly Nonlinear Multi-Order Fractional Version of a BVP Occurring in Chemical Reactor Theory by Vedat Suat Erturk, A.K. Alomari, Pushpendra Kumar, Marina Murillo-Arcila

“…We construct the solution algorithm based on the generalized differential transform technique in four simple steps. …”
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Application of Composite Method for Determining Fault Location on Electrical Power Distribution Lines by Chinweike Okoli, Boniface Anyaka, Chidiogo Nwokedi, Victor Anya

“…The simulation result demonstrates good accuracy and robustness of the algorithm.…”
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Real-Time Object Detection for the Running Train Based on the Improved YOLO V4 Neural Network by Yang Liu, Mengfei Gao, Humin Zong, Xinping Wang, Jinshuang Li

“…Lightweight convolutional neural network MobileNet and clustering ideas are combined to improve the object detection algorithm, and the MYOLO-lite model object detection algorithm is designed. …”
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