Learning Discriminative Salient LBP for Cloud Classification in Wireless Sensor Networks by Shuang Liu, Zhong Zhang

“…The experimental results show that the proposed algorithm achieves better results than other state-of-the-art cloud classification algorithms in WSN.…”
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H(⋅,⋅)-Cocoercive Operator and an Application for Solving Generalized Variational Inclusions by Rais Ahmad, Mohd Dilshad, Mu-Ming Wong, Jen-Chin Yao

“…By using techniques of resolvent operator, a new iterative algorithm for solving generalized variational inclusions is constructed. …”
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VIRUS CHANGE MODEL IN ORGANIZATIONAL TRANSFORMATION by A. Dolgaya

“…The model consists of organizational virus structure, chang-es algorithm and immune instruments for process interruption. …”
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A Regularized Gradient Projection Method for the Minimization Problem by Yonghong Yao, Shin Min Kang, Wu Jigang, Pei-Xia Yang

“…We investigate the following regularized gradient projection algorithm xn+1=Pc(I−γn(∇f+αnI))xn, n≥0. Under some different control conditions, we prove that this gradient projection algorithm strongly converges to the minimum norm solution of the minimization problem minx∈Cf(x).…”
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Modeling and Simulation of Real Estate Valuation Based on Genetic Neural Network Model by Shuli Shen

“…Experiments show that the genetic algorithm is effective in optimizing the BP house price valuation model and improves the calculation efficiency and valuation accuracy of the valuation model.…”
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Optimizing Crew Rostering with Multilicense on High-Speed Railway Lines by Zhiqiang Tian

“…According to the characteristics of the problem and the requirements in application, this paper presents the design of an improved ant colony algorithm for solving the optimization model. The reasonableness of the model and the effectiveness of the algorithm are verified by a numerical example with 43 generated crew routes.…”
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Analysis on the Ecological Concept of Ternary Interactive Education in Business English Writing by Yuwan Zhang

“…The modulation recognition can well reduce the influence of interference on algorithm performance. In addition, this paper simulates the recognition performance of the likelihood function-based algorithm when the system has frequency offset and asynchronous time offset. …”
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Opportunities for Prevention of Complications in Intestinal Stoma Surgery by V. S. Groshilin, V. D. Kuznetsov, D. V. Kuznetsov, A. A. Pogosyan

“…To confirm the effectiveness of the proposed algorithm, an analysis of 52 clinical observations in patients who underwent surgeries with the formation of an end colostomy was carried out, which made up two clinical groups. …”
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Application of Machine Learning Techniques to Distinguish between Mare, Cryptomare, and Light Plains in Central Lunar South Pole−Aitken Basin by Frank C. Chuang, Matthew D. Richardson, Jennifer L. Whitten, Daniel P. Moriarty, Deborah L. Domingue

“…A two-step image classification approach was applied to the data sets, an unsupervised K-Means algorithm followed by a supervised Maximum Likelihood Classification (MLC) algorithm. …”
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Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI by Kangwa Alex Nkonde, Kangwa Alex Nkonde, Sai Man Cheung, Nicholas Senn, Jiabao He

“…The overall transverse relaxation time was computed using a single-compartment model with the non-linear least squares algorithm, while intra- and extra-cellular transverse relaxation times were computed using a multi-compartment model with the Bayesian algorithm. …”
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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…While testing different feature extraction algorithms, a common neural network structure was used as the classification algorithm to compare the performance of the feature extraction algorithms. …”
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Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method by Mengyan Jiang, Yi Zhang, Yi Zhang

“…In the BP algorithm, an efficient label setting algorithm is developed to solve the robust resource-constrained shortest path subproblem. …”
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Route Guidance Model with Limited Overlap on Freeway Network under Traffic Incidents by Xuan Zhang, Jinjun Tang, Chengcheng Wang, Chao Wang

“…The effectiveness of this method was validated through SUMO simulations, comparing it with alternative route guidance methods, including Yen’s algorithm, A∗ algorithm, and ant colony algorithm. …”
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2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

“…The currently popular manifold learning dimensionality reduction algorithm, Uniform Manifold Approximation and Projection (UMAP), effectively extract complex nonlinear relationships in fault diagnosis data while preserving both local and global structures. …”
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Adult Hip Flexion Contracture due to Neurological Disease: A New Treatment Protocol—Surgical Treatment of Neurological Hip Flexion Contracture by Alberto Nicodemo, Chiara Arrigoni, Andrea Bersano, Alessandro Massè

“…In conclusion we think that this algorithm could be a good guideline to treat these complex cases even if we need to treat more patients to confirm this theory. …”
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The Statistical Detecting of Sulfur Hexafluoride and Nitrous Oxide Effect on Seasonal Rainfalls in Iran During Recent Decade by Yosef Ghavidel Rahimi, Maysam Tolabi Nejad, Manochehr Farajzadeh

“…In fact, they are among the progressive networks with supervising training algorithms and suitable for nonlinear data. Other two categories of training algorithms including BP training algorithms and number normalization algorithm were used for training of networks. …”
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Mixed Balanced Truncation for Reducing the Complexity of Large-Scale Electrical and Electronic System Simulations by Huy-Du Dao, Thanh-Tung Nguyen, Ngoc-Kien Vu, Van-Ta Hoang, Hong-Quang Nguyen

“…The MBT algorithm is developed based on Lyapunov and Riccati equations, ensuring the stability and passivity of the reduced-order system. …”
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PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection by Mehdi Khalil, Chi Zhang, Zhiwei Ye, Peng Zhang

“…This study is primarily focused on local simulation, where the proposed algorithm scored as high as 95.63%, with 95.44% precision, 99.52% recall, and 96.76% f1-score. …”
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Temporary Redundant Transmission Mechanism for SCTP Multihomed Hosts by D. Mohana Geetha, S. K. Muthusundar, M. Subramaniam, Kathirvel Ayyaswamy

“…We extended our experiment to test robustness of this algorithm and inferred exhaustive result. It is inferred that our algorithm outperforms better in terms of increasing the throughput and reducing the latency than existing system.…”
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Multitask Convolutional Neural Network for Rolling Element Bearing Fault Identification by Mingxing Jia, Yuemei Xu, Maoyi Hong, Xiyu Hu

“…The traditional signal processing-based rolling bearing fault diagnosis algorithms rely on artificial feature extraction and expert knowledge. …”
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