A combined method of formation of a cryptographic key with secret modification of the results of synchronization of artificial neural networks by M. L. Radziukevich

“…The results obtained showed that the combined method of forming a cryptographic key with a secret modification of the synchronization results of artificial neural networks, proposed in this article, provides its high cryptographic strength, commensurate with the cryptographic strength of modern symmetric encryption algorithms, with a relatively simple implementation.…”
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Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network by Weiwei Li, Ting Jiang, Ning Wang

“…Experimental results show that its recovery quality is better than some existing CS-based ECG compression algorithms and sufficient for practical use.…”
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RPRep: A Robust and Privacy-Preserving Reputation Management Scheme for Pseudonym-Enabled VANETs by Jin Wang, Yonghui Zhang, Youyuan Wang, Xiang Gu

“…Moreover, we apply the information entropy and the majority rule to the reputation accumulation algorithms to counter false feedback. To defend the reputation link attack during pseudonym changes, we propose hidden-zone strategy and k -anonymity strategy. …”
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Layered Capacity-Based Relay-and-Antenna Joint Selection for MIMO-AF-Multiple-Relay Systems in Correlated Channels by Chia-Chang Hu, Jheng-Siang Li, Bo-Liang Wu

“…Finally, simulations are conducted to compare the channel capacity of the proposed two-layered antenna selection technique with other existing antenna selection algorithms for half-duplex AF-MIMO multiple-relay systems.…”
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A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision by Changfu Zhao, Hongchang Ding, Guohua Cao, Ying Zhang

“…Compared with the random Hough transform algorithm and the gradient Hough transform algorithm, the algorithm proposed in this paper has higher detection accuracy, faster detection speed, and better robustness, which meets the online detection accuracy requirements of the brake master cylinder compensation hole.…”
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Analyzing the Performance of Machine Learning Techniques in Disease Prediction by Khongdet Phasinam, Tamal Mondal, Dony Novaliendry, Cheng-Hong Yang, Chiranjit Dutta, Mohammad Shabaz

“…For the prediction of heart disease, decision trees are used to analyze various training and evaluation datasets. Classification algorithms such as Naive Bayes, ID3, C4.5, and SVM are being investigated. …”
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Teaching Quality Evaluation of Ideological and Political Courses in Colleges and Universities Based on Machine Learning by Lijun Qiao

“…The experimental results show that the classification model based on the weighted naive Bayes algorithm is reasonable and feasible for teaching evaluation. …”
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Transfer learning for linear regression with differential privacy by Yiming Hou, Yunquan Song, Zhijian Wang

“…The effectiveness of the proposed algorithms is validated through simulations and real-world data experiments.…”
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Computational Methods for Calculating Multimodal Multiclass Traffic Network Equilibrium: Simulation Benchmark on a Large-Scale Test Case by Mostafa Ameli, Jean-Patrick Lebacque, Ludovic Leclercq

“…Two different categories of algorithms (heuristic and metaheuristic) are considered in order to solve the discrete dynamic traffic assignment (DTA) problem. …”
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Modern aspects of diagnostics and treatment of <i>H. pylori</i> infection from standpoint of stomach cancer prophylaxis by A. A. Sheptulin, T. L. Lapina

“…According to conclusion of the majority of publications and data of meta-analyses, nowadays both bismuth-based and bismuth-free quadrotherapy are considered as the most effective treatment algorithms.Conclusion. For estimation of role of H. pylori infection in development of various diseases, and to improve management of patients further studies are required.…”
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Resource Efficient Hardware Architecture for Fast Computation of Running Max/Min Filters by Cesar Torres-Huitzil

“…Faster computations can be achieved by kernel decomposition and using constant time one-dimensional algorithms on custom hardware. This paper presents a hardware architecture for real-time computation of running max/min filters based on the van Herk/Gil-Werman (HGW) algorithm. …”
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Flexible-Robotic Reflector for Aerospace Applications by Nir Shvalb, Boaz Ben-Moshe, Oded Medina, Raz Itzhaki Tamir

“…We have implemented a set of searching algorithms allowing the hyper redundant robotic subreflector to adapt its surface to the morphologic distortions in the main reflector. …”
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The Analysis of Using Spatial Smoothing for DOA Estimation of Coherent Signals in Sparse Arrays by Haiyun Xu, Weijia Cui, Yuxi Du, Fengtong Mei, Bin Ba

“…When there is coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms for direction-of-arrival (DOA) estimation using difference coarray fail. …”
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Identification of Input Nonlinear Control Autoregressive Systems Using Fractional Signal Processing Approach by Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja, Junaid Ali Khan, Muhammad Saeed Aslam

“…A novel algorithm is developed based on fractional signal processing approach for parameter estimation of input nonlinear control autoregressive (INCAR) models. …”
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Detecting Latent Topics and Trends in Global Publications on Brucellosis Disease Using Text Mining by Meisam Dastani, Jalal Mardaneh, Omid Pouresmaeil

“…Python programming language has been applied to analyze data and implement text mining algorithms. Results. According to results, eight main topics of “Prevention,” “Clinical symptoms,” “Diagnosis,” “Control,” “Treatment,” “Immunology,” “Structural Features,” and “Pathogenicity” have been identified for brucellosis publications. …”
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Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering by Erenay Karacan, Yanbin Chen, Christian B. Mendl

“…One of the main challenges of such quantum algorithms is increasing the system size, which is necessary to achieve meaningful quantum advantage. …”
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The Humoral Theory of Transplantation: Epitope Analysis and the Pathogenicity of HLA Antibodies by Edward J. Filippone, John L. Farber

“…Serologic HLA matching has been the standard for solid organ allocation algorithms in current use. Antibodies do not recognize whole HLA molecules but rather polymorphic residues on the surface, called epitopes, which may be shared by multiple serologic HLA antigens. …”
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A Real-Time Facial Expression Recognition System for Online Games by Ce Zhan, Wanqing Li, Philip Ogunbona, Farzad Safaei

“…To meet the specific requirements of such a system, a number of algorithms are studied, improved, and extended. In particular, Viola and Jones face-detection method is extended to detect small-scale key facial components; and fixed facial landmarks are used to reduce the computational load with little performance degradation in the recognition accuracy.…”
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The Multivariate Fusion Distribution Characteristics in Physician Demand Prediction by Jiazhen Zhang, Wei Chen, Xiulai Wang

“…By combining variational autoencoders and LSTM units, the model can effectively capture complex nonlinear relationships and long-term dependencies, and the multi-head attention mechanism overcomes the limitations of traditional algorithms. This lightweight architecture design not only improves the computational efficiency but also enhances the stability in high-dimensional data processing and reduces feature redundancy by combining the normalization process with statistics. …”
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Quantitative Indicator for Objective Assessment of Software Process Quality and Performance by Muhammad Adeel Mannan, Jahangir Khan, Hira Zafar

“…We define the problem as a sequence classification challenge that can be effectively tackled using machine learning algorithms. Building on this framework, we develop a new quantitative metric for the objective evaluation of software process efficiency and quality. …”
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