Deconvolution Filtering for Nonlinear Stochastic Systems with Randomly Occurring Sensor Delays via Probability-Dependent Method by Yuqiang Luo, Guoliang Wei, Hamid Reza Karimi, Licheng Wang

“…When the time-varying sensor delays occur randomly with a time-varying probability sequence, the proposed gain-scheduled filtering algorithm is very effective. The obtained design algorithm is finally verified in the light of simulation examples.…”
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Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution by John A. Kennedy, Ora Israel, Alex Frenkel, Rachel Bar-Shalom, Haim Azhari

“…Using a super-resolution algorithm, several PET acquisitions were combined to improve the resolution. …”
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Bi-Objective Optimization for Vehicle Routing Problems with a Mixed Fleet of Conventional and Electric Vehicles and Soft Time Windows by Peixin Zhao, Fanfan Liu, Yuanyuan Guo, Xiaoyang Duan, Yunshu Zhang

“…Finally, the nondominated sorting genetic algorithm II (NSGA-II) is employed to deal with this problem. …”
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On the Simplex-based methods for Neutrosophic linear programming problems by Sulima Ahmed Mohammed Zubair, Najla ELzein AbuKaswi Osman, Wiem Abedelmonem Salah Ben Khalifa, Amal Hassan Mohammed Yassin

“…This type of method, inspired by the classic Simplex algorithm, is in search of an optimal basic neutrosophic feasible solution, and several attractive models of it have been proposed in recent years. …”
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CT-Scan Method-based Artificial Neural Network for Diagnosis of COVID-19 by Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan

“…This paper aims to use an ANN algorithm based on CT and some laboratory and clinical parameters to determine whether a person is infected with Covid-19 or not. …”
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Downlink Multiuser Hybrid Beamforming for MmWave Massive MIMO-NOMA System with Imperfect CSI by Jing Jiang, Ming Lei, Huanhuan Hou

“…For digital beamforming, the weak user applies the block diagonalization algorithm based on the strong user’s effective channel to reduce its intracluster interference. …”
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Gesture Recognition with Residual LSTM Attention Using Millimeter-Wave Radar by Weiqing Bai, Siyu Chen, Jialiang Ma, Ying Wang, Chong Han

“…A series of experimental results show that the algorithm proposed in this paper has higher recognition performance.…”
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Towards Internet QoS Provisioning Based on Generic Distributed QoS Adaptive Routing Engine by Amira Y. Haikal, M. Badawy, Hesham A. Ali

“…Moreover, extensive simulations are used to compare the proposed QOPRA algorithm and QMPF model with their counterparts in the literature.…”
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Location-assistant content distribution scheme for emergency rescue by Guomin Zhang, Lihua Song, Haitao Wang, Chao Hu, Na Wang

“…Due to the intermittent network connectivity and variety of emergency service, a content-classification-based publish/subscribe architecture and a GenericSpray routing algorithm based on the prediction of overlap opportunity in spatio-temporal positions are proposed. …”
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Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier by Emad Majeed Hameed, Hardik Joshi

“…This paper discusses diabetes prediction by using the K-Nearest Neighbors (KNN) classifier, which is a widely used algorithm in machine learning. Most studies only dealt with investigating the optimal value of k in the KNN algorithm and did not address the best method to measure distance alone or together with the optimal value of k to improve the efficiency of diabetes prediction. …”
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Psychometrics of an Elo-based large-scale online learning system by Hanke Vermeiren, Joost Kruis, Maria Bolsinova, Han L.J. van der Maas, Abe D. Hofman

“…The Elo rating system (ERS), an intuitive and computationally efficient algorithm, offers a means to effectively update estimates of item difficulties and learner abilities as they evolve. …”
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Location Design of Electric Vehicle Charging Facilities: A Path-Distance Constrained Stochastic User Equilibrium Approach by Wentao Jing, Kun An, Mohsen Ramezani, Inhi Kim

“…A simple equilibrium-based heuristic algorithm is developed to obtain the solution. Finally, two numerical tests are presented to demonstrate applicability of the proposed model and feasibility and effectiveness of the solution algorithm. …”
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Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F‐Race by David Garzón Ramos, Federico Pagnozzi, Thomas Stützle, Mauro Birattari

“…In this approach, a designer specifies a mission that the swarm must perform, and an optimization algorithm searches for the control software that enables the robots to perform the given mission. …”
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Data-Driven Approaches for Diagnosis of Incipient Faults in Cutting Arms of the Roadheader by Qiang Liu, Songyong Liu, Qianjin Dai, Xiao Yu, Daoxiang Teng, Ming Wei

“…In this study, four machine learning tools (the back-propagation neural network based on genetic algorithm optimization, the naive Bayes based on genetic algorithm optimization, the support vector machines based on particle swarm optimization, and the support vector machines based on dynamic cuckoo) are applied to address the challenge in the IFDI of cutting arms. …”
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Long-Term Rainfall Information Forecast by Utilizing Constrained Amount of Observation through Artificial Neural Network Approach by Muhammed E. Akiner

“…From 2010 to 2020, a two-layer feed-forward ANN was trained using the gradient descent algorithm to forecast daily average rainfall data by month. …”
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Drop Distribution Determination in a Liquid-Liquid Dispersion by Image Processing by Luís M. R. Brás, Elsa F. Gomes, Margarida M. M. Ribeiro, M. M. L. Guimarães

“…This paper presents the implementation of an algorithm for automatic identification of drops with different sizes in monochromatic digitized frames of a liquid-liquid chemical process. …”
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Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation by Jae-Hyun Seo, Yong Hee Lee, Yong-Hyuk Kim

“…In comparative SVM tests using evolutionary algorithms, the results showed that genetic algorithm was considerably superior to differential evolution. …”
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Optimization Model and Method of Variable Speed Limit for Urban Expressway by Shubin Li, Tao Wang, Hualing Ren, Baiying Shi, Xiangke Kong

“…The SPSA-based solution algorithm was proposed by taking into account the needs of real-time online applications. …”
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Semi-automatic construction of heterogeneous data schema based on structure and context-aware recommendation by Nan Yin, Junheng Liang, Xi Guo, Xue Jiang, Jie He, Xiaotong Zhang

“…Fragment index and semantic search techniques are introduced to identify candidate fragments, and a tree editing distance algorithm calculates similarity scores. Evaluated on the Data Schema Construction System, the algorithm outperforms baselines—TF-IDF and BM25 for schemas matching—in precision, recall, and F1-score. …”
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PPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction Prediction by Jianzhuang Yao, Hong Guo, Xiaohan Yang

“…This study established a robust pipeline for PPI prediction by integrating multiple classifiers using Random Forests algorithm. This pipeline will be useful for predicting PPI in nonmodel species.…”
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