Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

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Efficient inter mode selection algorithm for H.264 by LU Lu, ZHOU Wei

“…The simulation results show that the algorithm can remarkably decrease the complexity at the encoder while keeping satisfying coding efficiency.…”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. …”
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Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

“…We then comprehensively compare 19 widely used classification algorithms based on two feature sets: word unigrams and character multigrams. …”
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Failure recovery algorithm for LRT and transaction property analysis by Xiao-yong MEI, Chang-qin HUANG, Xiao-lin ZHENG, De-ren CHEN, Shi-xian LI

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Reliable selfish node detection algorithm for opportunistic networks by Zhi REN, Yong-yin TAN, Ji-bi LI, Qian-bin CHEN

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Cooperative coevolution algorithm with covariance analysis for differential evolution by Bin WANG, Lu REN, Xiaofan WANG, Yajuan CAO

“…With the increase of the number of decision variables, cooperative coevolution algorithm is easy to fall into local optimization in the process of searching the global optimal solution in large-scale high-dimensional optimization problems.Based on this, a cooperative coevolution algorithm with covariance analysis for differential evolution was proposed.After the optimization problems were grouped according to the correlation between the decision variables, the correlation between the internal variables of the subcomponents would affect the population evolution process.In the process of subcomponent optimization, covariance was used to calculate the characteristic vector of population distribution, and the correlation between variables was eliminated through coordinate rotation, which effectively avoided falling into local optimization in the process of population search and speeded up the optimization speed of the algorithm.Comparative experiments were carried out on the CEC 2014 test suite.The experimental results show that the proposed algorithm is feasible.…”
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Self-adaptive fair scheduling algorithm in wireless network by Lu YANG, Qing-liang WU

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Algorithms for Solving the Equilibrium Composition Model of Arc Plasma by Zhongyuan Chi, Yuzhang Ji, Ningning Liu, Tianchi Jiang, Xin Liu, Weijun Zhang

“…In the present study, the Homotopy Levenberg−Marquardt Algorithm (HLMA) and the Parameter Variation Levenberg–Marquardt Algorithm (PV–LMA), both developed in the context of high-temperature composition, are proposed to address the equilibrium composition model of plasma under the condition of local thermodynamic and chemical equilibrium. …”
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Multipath congestion control algorithm based on link capacity by Zhu WANG, Qingyun YUAN, Fanfan HAO, Liang FANG, Fenghua LI

“…Factors such as link differences and TCP friendliness constraints lead to the problem of unfair bandwidth allocation when the TCP congestion control mechanism was applied directly to multi-path transmission.To address the problem,it was proposed that a multipath congestion control algorithm was based on link capacity.The proposed algorithm which was based on the concept of feedback regulation achieved multipath joint congestion control by establishing the M/M/1 cache queue model to adjust the throughput rate of senders.Experimental results show the proposed algorithm can improve the multipath transmission bandwidth utilization and the multipath congestion control algorithm responsiveness,and ensure the fairness of multipath transmission.…”
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Low frequency steganography algorithm for H.264/AVC by Guang-lu HUA, Zhi-tang LI, Bing FENG

“…On the basis of analyzing some existing video data hiding algorithms and combining it with the features of H.264/AVC video low frequency coefficients,a new data hiding algorithm based on H.264/AVC low frequency domain was proposed.After quantification of DCT blocks in the low frequency area,three maximum absolute value of the nonzero coefficients were selected and information was embedded with an improved matrix encoding method.Simulation results show that the proposed algorithm can realize real-time embedding and extracting information,great capacity of embedding information,embedded high efficiency and less influence on video quality etc.…”
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Adversarial patch defense algorithm based on PatchTracker by Zhenjie XIAO, Shiyu HUANG, Feng YE, Liqing HUANG, Tianqiang HUANG

“…The application of deep neural networks in target detection has been widely adopted in various fields.However, the introduction of adversarial patch attacks, which add local perturbations to images to mislead deep neural networks, poses a significant threat to target detection systems based on vision techniques.To tackle this issue, an adversarial patch defense algorithm based on PatchTracker was proposed, leveraging the semantic differences between adversarial patches and image backgrounds.This algorithm comprised an upstream patch detector and a downstream data enhancement module.The upstream patch detector employed a YOLOV5 (you only look once-v5) model with attention mechanism to determine the locations of adversarial patches, thereby improving the detection accuracy of small-scale adversarial patches.Subsequently, the detected regions were covered with appropriate pixel values to remove the adversarial patches.This module effectively reduced the impact of adversarial examples without relying on extensive training data.The downstream data enhancement module enhanced the robustness of the target detector by modifying the model training paradigm.Finally, the image with removed patches was input into the downstream YOLOV5 target detection model, which had been enhanced through data augmentation.Cross-validation was performed on the public TT100K traffic sign dataset.Experimental results demonstrated that the proposed algorithm effectively defended against various types of generic adversarial patch attacks when compared to situations without defense measures.The algorithm improves the mean average precision (mAP) by approximately 65% when detecting adversarial patch images, effectively reducing the false negative rate of small-scale adversarial patches.Moreover, compared to existing algorithms, this approach significantly enhances the accuracy of neural networks in detecting adversarial samples.Additionally, the method exhibited excellent compatibility as it does not require modification of the downstream model structure.…”
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Slow task scheduling algorithm based on node identification by Yun-fei CUI, Xin-ming LI, Yi LI, Dong LIU

“…In order to reduce the influence of the slow task, produced in big data processing, a scheduling algorithm (TQST) combining recognition, speculation and seduction of slow task was proposed. …”
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An algorithm of blood typing using serological plate images by S.A. Korchagin, E.E. Zaychenkova, D.A. Sharapov, E.I. Ershov, Y.V. Butorin, Y.Y. Vengerov

“…The proposed recognition algorithm allows the alveolus boundaries to be accurately determined and the agglutination degree to be evaluated using a lightweight convolutional neural network. …”
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Distributed aggregate algorithm for average query based on WSN by LIU Cai-ping1, LI Ren-fa1, LIU Xi-ping2

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Research on the Extraction Algorithm of Dielectric Parameters of Simple Building by Zhongyu Liu, Yuanxi Wang, Lixin Guo, Zhigang Zhong, Zuoyong Nan, Lingfeng Shen, Jiangting Li

“…By combining the particle swarm optimization (PSO) algorithm, the dielectric parameters of the marble targets are successfully inverted. …”
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A Modified Grey Wolf Algorithm with Applications to Engineering by Vahid Mahboub

“…In this contribution, a modified gray wolf algorithm for use in engineering applications is presented. …”
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Assembly Sequence Optimization based on Improved Genetic Algorithm by Yang Wei, Meng Guanjun, Cao Wengang, Xie Kunfeng, Yu Pengfei

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Nature-Inspired Algorithms for Real-World Optimization Problems by Wei Fang, Xiaodong Li, Mengjie Zhang, Mengqi Hu

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Tabu Search Algorithm for Optimization of Blood Distribution Routes by Agus Mulyadi, St. Nova Meirizha, Ari Andriyas, Irsan Pratama

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