Bayesian decision based fusion algorithm for remote sensing images by Lei Wu, Xunyan Jiang, Weihua Zhu, Yulong Huang, Kai Liu

“…In this paper, a novel fusion algorithm based on Bayesian estimation for remote sensing images is proposed from the new perspective of risk decisions. …”
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Node selection algorithm based on channel coefficient for cognitive network by Jin-huai GUO, Ke-feng FAN, Su-bing ZHANG

“…To improve communication performance of cognitive network,according to the principle of opportunity cooperative communication,node selection algorithm based on channel coefficient for cognitive network was proposed and studied.Results show that the proposed algorithm can enhance spectrum utilize efficiency and improve network throughput effectively.…”
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A Formula Adaptive Pixel Pair Matching Steganography Algorithm by Min Long, Fenfang Li

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Driver Sleepiness Detection Algorithm Based on Relevance Vector Machine by Lingxiang Wei, Tianliu Feng, Pengfei Zhao, Mingjun Liao

“…Efficient and stable algorithms are crucial for distinguishing nonfatigue from fatigue state. …”
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Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots by Li Wan, Zhenjiang Li, Changan Zhang, Guangyong Chen, Panming Zhao, Kewei Wu

“…Experimental results show that our fused algorithm achieves a 93.25% accuracy rate, an improvement of 1.75% over the baseline. …”
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Study of intelligent game adversarial algorithms and their applications in the intelligence field by LIU Geng, LIU Xing

“…Intelligent game adversarial algorithms not only make full use of the portrayal accuracy of the game model, but also solve the equilibrium solution through the powerful computational ability of neural network and the trial-and-error mechanism of reinforcement learning, which makes the intelligent game adversarial algorithms achieve good results in many fields. …”
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Cryptanalysis of an Image Encryption Algorithm Using DNA Coding and Chaos by Yuzhuo Zhao, Qiqin Shi, Qun Ding

“…In recent years, many chaotic image encryption algorithms have been cracked by chosen plaintext attack. …”
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Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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Cross-Domain Recommendation Algorithm Based on Latent Factor Model by Sheng Gao, Siting Ren, Jun Guo

“…In the internet environment，the combining of multi-source heterogeneous information objects in different areas makes users face information selection dilemma problem in big data environment.It has been very difficulty for traditional information recommendation algorithms to adapt to the interdisciplinary information recommendation service.The evaluation model from a user clustering set to an information object clustering set has common characteristics of cross-domain and personality characteristics of single domain.By analyzing the evaluation data from users to information objects in different areas，these characteristics were extracted based on latent factor model.Then by transmitting and sharing the common characteristics of cross-domain，the data sparseness problem of target field was alleviated，which could improve the accuracy of cross-domain information recommendation.…”
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Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms by Diana Akmayeva, Umut Emre Uzun, Nihat Pamuk

“…The optimal results obtained using the GWO algorithm are compiled in less time than other algorithms.…”
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Differential evolution algorithm for identification of structural damage in steel beams by Brunno E. Sobrinho, Gilberto Gomes, Welington V. da Silva, Ramon S. Y. R. C. Silva, Luciano M. Bezerra, Erwin U. L. Palechor

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An Innovative Linear Wireless Sensor Network Reliability Evaluation Algorithm by Tao Ma, Huidong Guo, Xin Li

“…Compared to Multi-Valued Decision Diagram (MDD)-based evaluation algorithms, this method is suitable for large-scale LWSNs and offers lower time complexity.…”
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Comparative analysis of elementwise reception-algorithms in intersymbol interference channels by Eugene O. Khabarov, Vladimir D. Martyshenko

“…Optimal and suboptimal sorting-algorithms as well as algorithms on linear equalizer based were consider. …”
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Integral back-stepping algorithm for designing the quadrotor aircraft controller by Yan GUO, Meiping WU, Kanghua TANG, Xueying WANG

Subjects: “…the under-actuated quadrotor aircraft;Lyapunov stability;the integral term;the back-stepping algorithm…”
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Optimization of Backpropagation Neural Network under the Adaptive Genetic Algorithm by Junxi Zhang, Shiru Qu

“…This study is to explore the optimization of the adaptive genetic algorithm (AGA) in the backpropagation (BP) neural network (BPNN), so as to expand the application of the BPNN model in nonlinear issues. …”
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MOANA: Multi-objective ant nesting algorithm for optimization problems by Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid, Seyedali Mirjalili

“…This paper presents the Multi-Objective Ant Nesting Algorithm (MOANA), a novel extension of the Ant Nesting Algorithm (ANA), specifically designed to address multi-objective optimization problems (MOPs). …”
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Exploration of Algorithms and Heuristics in Puzzle Playing Activities of Early Childhood by Selvia Dwi Lusiana, Thorik Aziz

Subjects: “…algorithms and heuristics, early childhood, puzzle playing.…”
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Joint resource allocation algorithm for clustering cognitive Internet of things by Xin LIU

“…Cognitive Internet of things (CIoT) can improve spectrum utilization effectively through spectrum sensing and sharing,but spectrum sensing may generate overhead.Clustering CIoT was proposed to decrease sensing overhead,whose transmission rate could be improved through joint resource allocation.The network model and frame structure of the CIoT were proposed firstly,and the average transmission rate and interference power of the CIoT were deduced.Then,an optimization model was built to maximize the transmission rate through jointly optimizing the sensing time,sensing cluster head and transmission power,and a joint optimization algorithm was given to solve the optimization problem.Finally,the node clustering and cluster head selection algorithm of the CIoT was presented.The simulations show that the maximal transmission rate through joint resource allocation can be achieved and the transmission performance compared with the traditional schemes can be improved by the proposed scheme.…”
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Special Issue “Algorithms for Feature Selection (2nd Edition)” by Muhammad Adnan Khan

“…Algorithms…”
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Multi-view graph neural network for fraud detection algorithm by Zhuo CHEN, Miao ZHU, Junwei DU

“…Aiming at the problem that in the field of fraud detection, imbalance labels and lack of necessary connections between fraud nodes, resulting in fraud detection tasks not conforming to the hypothesis of homogeneity of graph neural networks, multi-view graph neural network for fraud detection (MGFD) algorithm was proposed.First, A structure-independent encoder was used to encode the attributes of nodes in the network to learn the difference between the fraud node and the normal node.The hierarchical attention mechanism was designed to integrate the multi-view information in the network, and made full use of the interaction information between different perspectives in the network to model the nodes on the basis of learning differences.Then, based on the data imbalance ratio sampled subgraph, the sample was constructed according to the connection characteristics of fraud nodes for classification, which solved the problem of imbalance sample labels.Finally, the prediction label was used to identify whether a node is fraudulent.Experiments on real-world datasets have shown that the MGFD algorithm outperforms the comparison method in the field of graph-based fraud detection.…”
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