Ancestral Dynamic Voting Algorithm for Mutual Exclusion in Partitioned Distributed Systems by Faraneh Zarafshan, Abbas Karimi, S. A. R. Al-Haddad, M. Iqbal Saripan, Shamala Subramaniam

“…This algorithm also prolongs the lifetime of service to mutual exclusion for full and partial topologies especially for the situations where there is no majority. …”
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Novel distinguisher for SM4 cipher algorithm based on deep learning by Huijiao WANG, Xin ZHANG, Yongzhuang WEI, Lingchen LI

“…A method was proposed to construct a deep learning distinguisher model for large state block ciphers with large-block and long-key in view of the problem of high data complexity, time complexity and storage complexity of large state block cipher distinguishers, and the neural distinguishers were constructed for SM4 algorithm.Drawing inspiration from the idea that ciphertext difference could improve the performance of distinguishers, a new input data format for neural distinguisher was designed by using partial difference information between ciphertext pairs as part of the training data.The residual neural network model was used to construct the neural distinguisher.The training dataset for large blocks was preprocessed.Additionally, an improved strategy for model relearning was proposed to address the high specificity and low sensitivity of the constructed distinguisher.Experimental results show that the proposed deep learning model for SM4 can achieve 9 rounds neural distinguisher.The accuracy of 4～9 rounds distinguishers can reach up to 100%, 76.14%, 65.20%, 59.28%, 55.89% and 53.73% respectively.The complexity and accuracy of the constructed differential neural distinguisher are significantly better than those of traditional differential distinguishers, and it is currently the best neural distinguisher for the block cipher SM4 to our knowledge.It also proves that the deep learning method is effective and feasible in the security analysis of block cipher of large block.…”
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Research on Lightweight Small Object Detection Algorithm Based on Context Representation by Li Qiang, Cui Jianghui

“…This paper proposes a lightweight framework algorithm based on a contextual semantic fusion model, which is built upon the YOLOv7 model. …”
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WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

“…Firstly, in response to the challenge of balancing positioning time and accuracy, the extreme learning machine (ELM) does not require iterative adjustment of the weights of the hidden layer, allowing it to achieve high positioning accuracy in a short time, but the difficulty in adjusting the parameters restricts the development of the ELM, with each partial parameter of the ELM as an individual, the genetic algorithm (GA) uses operations such as crossover, compilation and selection to optimize until the system performance is met continuously. …”
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Improving lameness detection in cows: A machine learning algorithm application by Elma Dervić, Caspar Matzhold, Christa Egger-Danner, Franz Steininger, Peter Klimek

“…A Random Forest classifier, using input features selected by the Boruta algorithm, was used for the prediction task; effects of individual features were further assessed using partial dependence plots. …”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

“…Here we document the fact that a commonly used multiple-flow-direction algorithm for calculating contributing area, i.e., <span class="inline-formula"><i>D</i>∞</span> of Tarboton (1997), is sufficiently biased along the cardinal and ordinal directions that it is unsuitable for some standard applications of flow-routing algorithms. …”
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Algorithm of reconstruction combined midface defects after resection malignant tumors by M. V. Bolotin, A. M. Mudunov, V. Yu. Sobolevsky, V. I. Sokorutov

“…In 5 (42 %) cases, the resection was combined and included, in addition to the upper jaw, the skin of the buccal and zygomatic regions. Type III - combined partial resections of the upper jaw (13 (17 %) cases). …”
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Automated Support Generation for Fixed Partial Dentures and Impact of Bone Loss, Bone Quality and Support Types: Parametric Cad and Finite Element Analysis by Hassen Jemaa, Michael Eisenburger, Andreas Greuling

“…<b>Background:</b> This study aimed to develop an algorithm for modelling tooth–tooth or implant–implant support configurations for a given 4-unit fixed partial denture (FPD). …”
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Photovoltaic Global Maximum Power Tracking Based on Improved Dragonfly Algorithm by Fei XUE, Xin MA, Bei TIAN, Hui WU

“…A multi-peak phenomenon can be observed on the power-voltage (P-U) characteristic curve of a photovoltaic (PV) array under partially shaded conditions (PSCs). In this case, conventional maximum power point tracking (MPPT) algorithms tend to fall into local extremums, and swarm intelligence algorithms would spend much time in tracking. …”
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Inference for Dependent Competing Risks with Partially Observed Causes from Bivariate Inverted Exponentiated Pareto Distribution Under Generalized Progressive Hybrid Censoring by Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang

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PV Based Standalone DC -Micro Grid System for EV Charging Station with New GWO-ANFIS MPPTs under Partial Shading Conditions by R. Ragul, N. Shanmugasundaram, Mariaraja Paramasivam, Suresh Seetharaman, Sheela L. Mary Immaculate

“…The goal of this article is to use MPPTs (maximum power point trackers) to extort maximum power from best configuration or combine renewable resources and energy storage systems that all work together in off-grid for electric vehicle charging. The grey wolf algorithm (GWO) searches the MPP at partial shading condition (PSC) with following two consideration one is high oscillations around GMPPs, and other is that they are unable to track the new GMPPs after it has changed positions because the seeking agents will be busy around the previous GMPPs captured. …”
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Semi-Supervised Clustering via Constraints Self-Learning by Xin Sun

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A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…To address this issue, we propose a novel pedestrian detection algorithm with multisource face images, which involves a face recognition algorithm based on the conjugate orthonormalized partial least-squares regression analysis under a complex lighting environment. …”
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Fault Detection in Photovoltaic Systems Using a Machine Learning Approach by Jossias Zwirtes, Fausto Bastos Libano, Luis Alvaro de Lima Silva, and Edison Pignaton de Freitas

“…Data were gathered for systems without faults, with faults simulated by partial shading, and faults simulated by dirt accumulation. …”
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An Accelerated Fixed-Point Algorithm Applied to Quadratic Convex Separable Knapsack Problems by Atécio Alves, Jônatas O. L. Silva, Luiz C. Matioli, Paulo S. M. Santos, Sissy S. Souza

“…We present partial convergence results of the algorithm. Moreover, we illustrate superior computational results in medium and large problems as well as the applicability of the algorithm with real-life applications to show their efficiency.…”
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Analysis of visitor experience in Hungarian museum context using the PLS-SEM algorithm by Jászberényi, Melinda, Ginovszky-Bodnár, Dorottya

“…This article analyses the museum visitor experience through a quantitative questionnaire carried out at the Almásy Mansion Visitor’s Centre in Gyula, Hungary, using the PLS-SEM (partial least squares structural equation modeling) algorithm. …”
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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

“…The tuning process for both stages employs the well-known Integral Time Absolute Error (ITAE) cost function in conjunction with the TLBO and PSO algorithms. The reliability of the proposed controller is rigorously tested, demonstrating its ability to deliver robust performance even when operating partially. …”
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Research on resource allocation algorithm of centralized and distributed Q-learning in machine communication by Yunhe YU, Jun SUN

“…Under the premise of ensuring partial machine type communication device (MTCD)’s quality of service (QoS) requirements, the resource allocation problem was studied with the goal of maximizing system throughput in the massive machine type communication (mMTC) scenario.Two resource allocation algorithms based on Q-learning were proposed: centralized Q-learning algorithm (team-Q) and distributed Q-learning algorithm (dis-Q).Firstly, taking into account MTCD’s geographic location and multi-level QoS requirements, a clustering algorithm based on cosine similarity (CS) was designed.In the clustering algorithm, multi-dimensional vectors that represent MTCD and data aggregator (DA) were constructed, and MTCDs can be grouped according to the CS value between multi-dimensional vectors.Then in the MTC network, the team-Q learning algorithm and dis-Q learning algorithm were used to allocate resource blocks and power for the MTCD.In terms of throughput performance, team-Q and dis-Q algorithms have an average increase of 16% and 23% compared to the dynamic resource allocation algorithm and the greedy algorithm, respectively.In terms of complexity performance, the dis-Q algorithm is only 25% of team-Q algorithm and even below, the convergence speed is increased by nearly 40%.…”
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DAG Based Multipath Routing Algorithm for Load Balancing in Machine-to-Machine Networks by Liang Liu, Tao Zhang, Jun Zhang

“…In addition, our algorithm is a polynomial time complexity algorithm with nodes and links number of the entire network.…”
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Meaning in the Algorithmic Museum: Towards a Dialectical Modelling Nexus of Virtual Curation by Huining Guan, Pengbo Chen

“…The rise of algorithm-driven virtual museums presents a philosophical challenge for how cultural meaning is constructed and critiqued in digital curation. …”
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