An Algorithm for Detecting Collision Risk between Trucks and Pedestrians in the Connected Environment by Seung-oh Son, Juneyoung Park, Cheol Oh, Chunho Yeom

“…The algorithm consists of linear regression-based movable coordinate predictions and vertical distance and angle judgments considering the moving characteristics of objects. …”
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Non‐linear activation function approximation using a REMEZ algorithm by Samba Raju Chiluveru, Manoj Tripathy, Bibhudutta

“…It utilizes a precision‐controlled recursive algorithm to predict a sub‐range; after that, the REMEZ algorithm is used to find the corresponding approximation function. …”
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Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm by Puguh Hasta Gunawan, Irving Vitra Paputungan

“…The model was developed using the Random Forest algorithm with parameters set to max_depth = 15 and random_state = 42. …”
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Two-test algorithms for infectious disease diagnosis: Implications for COVID-19. by Sunil Pokharel, Lisa J White, Jilian A Sacks, Camille Escadafal, Amy Toporowski, Sahra Isse Mohammed, Solomon Chane Abera, Kekeletso Kao, Marcela De Melo Freitas, Sabine Dittrich

“…We tested the model using hypothetical prevalence data for COVID-19, representing low- and high-prevalence contexts and performance characteristics of RT-PCR and Ag-RDTs. The two-test algorithm when RT-PCR was applied to samples negative by Ag-RDT predicted gains in sensitivity of 27% and 7%, respectively, compared with Ag-RDT and RT-PCR alone. …”
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Algorithm for cavo-tricuspid isthmus flutter on surface ECGs: the ACTIONS study by Daniel R Frisch, Eitan Frankel, Deanna Gill, Jad Al Danaf

“…Using the electrophysiology study as the gold standard, the algorithm had an accuracy of 81%, sensitivity of 81%, specificity of 82%, positive predictive value of 78% and negative predictive value of 84% in identifying CTI-AFL.Conclusion We developed a three-step ECG algorithm that provides a simple, sensitive, specific and accurate tool to identify CTI-AFL.…”
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Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms by E. S. Piskun, D. V. Nuansengsy, E. N. Kotsko

“…The paper discusses methods and algorithms of artificial intelligence aimed at automating and optimizing business processes in e-commerce. …”
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Conflict-based strategy combined integrated optimal conflict avoidance algorithm by Kejin Jia, Cheng Peng, Yun Du, Hongwei Wen, Yufei Gao, Zhe Zhang

“…Experimental results demonstrate that, compared to the traditional CBS algorithm, the CBS-CIOCA algorithm achieves maximum reductions of 97.37% and 94.99% in time and node expansion, respectively, in both traditional warehouse and fishbone-shaped warehouse environments, as well as 88.37% and 88.41% in a dynamic large-obstacle environment.…”
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Hemisphere mass up to four-loops with generalised $$k_t$$ k t algorithms by Kamel Khelifa-Kerfa, Mohamed Benghanem

“…We compare the resulting resummed expressions for both jet algorithms with the standard Sudakov form factor and demonstrate that neglecting these logarithms leads to unreliable phenomenological predictions for the observable’s distribution.…”
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Delay constraint minimum interruption routing algorithm for mobile satellite network by ZHANG Tao, LIU Zhong-kan, ZHANG Jun

“…By the analysis of the characteristics of mobile satellite network,such as a long delay and a topological time-varying,a novel satellite network delay constraint optimal path（SDCOP）algorithm,which could obtain a path to sat-isfy the delay constraint condition as well as the minimization of interruption during the service,was proposed.This algo-rithm exploits the predictive nature of connectivity changes of time-varying topological to decrease the influence in the QoS routing performance caused by the handover.Besides,it has a low computing complexity to adapt to the restricted computing capability of satellite equipments.Correlative simulation indicates that this novel algorithm is superior to other current algo-rithm in respect of computing complexity,service blocking probability and interrupting probability etc.…”
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Fuzzy kernel feature selection with multi-objective differential evolution algorithm by Emrah Hancer

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Delay constraint minimum interruption routing algorithm for mobile satellite network by ZHANG Tao, LIU Zhong-kan, ZHANG Jun

“…By the analysis of the characteristics of mobile satellite network,such as a long delay and a topological time-varying,a novel satellite network delay constraint optimal path（SDCOP）algorithm,which could obtain a path to sat-isfy the delay constraint condition as well as the minimization of interruption during the service,was proposed.This algo-rithm exploits the predictive nature of connectivity changes of time-varying topological to decrease the influence in the QoS routing performance caused by the handover.Besides,it has a low computing complexity to adapt to the restricted computing capability of satellite equipments.Correlative simulation indicates that this novel algorithm is superior to other current algo-rithm in respect of computing complexity,service blocking probability and interrupting probability etc.…”
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An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

“…Therefore, in this study, we first analyze the existing IoU loss functions in order to propose an efficient intersection over union (EIoU) algorithm. The proposed EIoU is capable of providing the gradient value even though the bounded predicted box and the ground truth target box do not overlap. …”
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Semianalytical algorithms to study longitudinal beam instabilities in double rf systems by A. Gamelin, V. Gubaidulin, M. B. Alves, T. Olsson

“…In this paper, we provide semianalytical algorithms designed to predict and analyze these instabilities with improved accuracy and robustness. …”
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Genetic algorithm feature selection resilient to increasing amounts of data imputation by Maryam Kebari, Annie S Wu

“…This paper investigates the robustness of a genetic algorithm (GA) in feature selection across a dataset with increasing imputed missing values. …”
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A Class of Numerical Algorithm for Impact Degree Assessment of Emergency Systems by Yuwen Chang, Yifan Gao, Jiexin Yi, Wei Yan, Changbo Geng, Song Zhang

“…The major goal of this procedure is to measure the emergency impact and make predictions for the consequences. In the case study, we applied this procedure to the analysis of the impact caused by 3.11 earthquake in Japan and demonstrated the algorithm's effectiveness and feasibility. …”
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A Closer Look at Invalid Action Masking in Policy Gradient Algorithms by Shengyi Huang, Santiago Ontañón

“…In recent years, Deep Reinforcement Learning (DRL) algorithms have achieved state-of-the-art performance in many challenging strategy games. …”
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Designing an algorithm to detect depression in users: A quantitative correlational study. by Hodan, T.

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Self-Stabilizing TDMA Algorithms for Dynamic Wireless Ad Hoc Networks by Pierre Leone, Elad M. Schiller

“…We propose a self-stabilizing MAC algorithm for DynWANs that guarantees a short convergence period, and by that, it can facilitate the satisfaction of severe timing requirements, such as the above. …”
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Efficient Machine Learning Algorithms in Hybrid Filtering Based Recommendation System by . Ruchika, Mayank Sharma, Syed Akhter Hossain

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A Community Detection Algorithm Based on Topology Potential and Spectral Clustering by Zhixiao Wang, Zhaotong Chen, Ya Zhao, Shaoda Chen

“…Community detection is of great value for complex networks in understanding their inherent law and predicting their behavior. Spectral clustering algorithms have been successfully applied in community detection. …”
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