Localizing multiple radiation sources actively with a particle filter by Tomas Lazna, Ludek Zalud

“…The performance of the algorithms was tested in a simulation study based on real-world data acquired previously from three radiation sources exhibiting various activities. …”
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Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks by Yuxin Zhao, Shenghong Li, Jia Hou

“…Traditional link quality prediction algorithms are simply based on the statistical information of the links in the wireless sensor network. …”
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Low-Complexity User Selection for Rate Maximization in MIMO Broadcast Channels with Downlink Beamforming by Eduardo Castañeda, Adão Silva, Ramiro Samano-Robles, Atílio Gameiro

“…We present in this work a low-complexity algorithm to solve the sum rate maximization problem in multiuser MIMO broadcast channels with downlink beamforming. …”
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For Loan Processing a Fuzzy Process Mining by İbrahim Ethem Yazıcı, Orhan Engin

“…Visualizations of the process have been affected with the help of fuzzy model algorithms necessary for a huge number of incidents and activities. …”
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An Emergency Packet Forwarding Scheme for V2V Communication Networks by Faika Hoque, Sungoh Kwon

“…Via simulations, we show that our proposed algorithm reduces the probability of rear-end crashes by 70% compared to previous algorithms by reducing the intervehicle delay. …”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…This collection of attributes is employed to generate a feature vector that serves as the input for the Naive Bayes classification algorithms. The classifier is trained using a labeled dataset and then learns to distinguish between benign and malicious requests by assessing their computed probabilities. …”
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Generating Deeply-Engineered Technical Features for Basketball Video Understanding by Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li

“…Integrating basketball videos with human-computer interaction (HCI) algorithms significantly improves training efficiency. …”
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UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation. by Yuanhong Dan, Jinyan Li, Yu Jin, Yong Ji, Zhihao Wang, Dong Cheng

“…Comparison experiments with several popular algorithms on UAV tracking datasets, such as UAV123@10fps, UAV20L, and DTB70, show that the algorithm balances speed and accuracy. …”
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Assessment of food toxicology by Alexander Gosslau

“…These systems utilize a combination of complex in vitro cell-based models with computer-based algorithms. A decrease of rodent animal testing with its limitations of high costs, low throughput readouts, inconsistent responses, ethical issues and concerns of extrapolability to humans have led to an increased use of these but also alternative lower hierarchy surrogate animal models (e.g. …”
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Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning by Yuanzhi Sun, Guangbao Mi, Peijie Li, Liangju He

“…The results show that the two algorithms based on multiple learners, gradient boosting decision tree (GBDT) and eXtreme Gradient Boosting (XGBoost), show better performance. …”
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Separation of the Structure Signal by the Maximal Overlap Discrete Wavelet Transform and Fast Fourier Transform by Thanh Q. Nguyen

“…With the combination of these two algorithms, MODWT and FFT, the signals of the synthesized vibration have been separated into component signals with different frequency ranges. …”
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Predicting GPR Signals from Concrete Structures Using Artificial Intelligence-Based Method by Wael Zatar, Tu T. Nguyen, Hai Nguyen

“…It is shown that the “trainlm” learning algorithm produced the high accuracy prediction of the reflection amplitude of GPR signals. …”
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A Comprehensive Review of the Diagnostics for Pediatric Tuberculosis Based on Assay Time, Ease of Operation, and Performance by Soumya Basu, Subhra Chakraborty

“…Gaps in the existing diagnostic methods, algorithms, and operational costs were also reviewed. …”
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Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications by Shasha Li, Zhongmei Zhou, Weiping Wang

“…However, many traditional rule-based classifiers cannot guarantee that all instances can be covered by at least two classification rules. Thus, these algorithms cannot achieve high accuracy in some datasets. …”
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Optimal control of a Bose-Einstein condensate in an opticallattice: the non-linear and two-dimensional cases by E. Dionis, B. Peaudecerf, S. Guérin, D. Guéry-Odelin, D. Sugny

“…We present two generalizations of the gradient-based algorithm, GRAPE, in the non-linear case and for a two-dimensional lattice. …”
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Understanding HLA-DQ in renal transplantation: a mini-review by Rajdeep Das, Neil S. Greenspan

“…Emerging molecular mismatch algorithms refine immunogenicity assessments by analyzing amino acid differences and structural interactions. …”
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Emotional intelligence in management activities аnd artificial intelligence technologies by M. S. Laschenov, R. A. Bondarenko, I. V. Slomova

“…The article examines the role of emotional intelligence (emotional quotient) in the process of management activities and the competing position of artificial intelligence (hereinafter referred to as AI), which is trying to master it through learning algorithms and implementation in management practice. …”
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A Novel Deployment Method for Communication-Intensive Applications in Service Clouds by Chuanchang Liu, Jingqi Yang

“…Secondly, in the online-deployment algorithm and the offline-deployment algorithm, service instances were deployed in an optimal cloud node based on the communication overhead which is determined by the communication traffic between services, as well as the communication performance between cloud nodes. …”
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Enhancing Vehicle Trajectory Quality: A Two‐Step Data Reconstruction Method Using Wavelet Transform and Normal Acceleration Value by Xia Zhang, Yacong Gao, Chenjing Zhou

“…And the vehicle trajectory data were reconstructed using Lagrange interpolation and Kalman filter algorithms. The approach was utilized on NGSIM trajectory data. …”
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Efficient and Scalable Graph Similarity Joins in MapReduce by Yifan Chen, Xiang Zhao, Chuan Xiao, Weiming Zhang, Jiuyang Tang

“…The superior efficiency and scalability of the proposed algorithms are demonstrated by extensive experimental results.…”
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