Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network by Xinyue Du, Ke Cheng, Jin Zhang, Yuanyu Wang, Fan Yang, Wei Zhou, Yu Lin

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A Russian Continuous Speech Recognition System Based on the DTW Algorithm under Artificial Intelligence by Chunping Yu, Xin Wang

“…Moreover, considering the influence of the correlation between variables on the synchronization of the DTW algorithm, this paper constructs a DTW algorithm on a local data set to synchronize in different variable groups. …”
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A New Range-Free Localization Algorithm Based on Amendatory Simulation Curve Fitting in WSN by Zhuang Liu, Xin Feng, Jingjing Zhang, Yanlong Wang, Teng Li

“…Firstly, we present the current research status of localization technology and some improved Range-free localization algorithms based on the modification of hop distance and selection of anchors. …”
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Adaptive area location algorithm combining with packet lost rate and RSSI in wireless sensor networks by LI Fang-min1, HAN Ping1, LUO Ting2

“…First, the shortcoming of existing location algorithm based on RSSI（received signal strength indication） in WSN（wireless sensor network） was analyzed.Then, supported by plenty of experimental data in different time and space, the distance evaluation model combining with packet lost rate and RSSI which aim at real environment and location algorithm based on this model was provided.It was regarded as a new kind of exploration for research of wireless location.Location experiments were used to evaluate the capability of this algorithm, which proves that WSN nodes running this algorithm can normally work and precision and stability are upper.…”
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Intelligent Data Mining of Computer-Aided Extension Residential Building Design Based on Algorithm Library by Gao Zhihui, Zou Guangtian

“…Therefore, the author uses computer mathematical algorithm and extension theory to study and analyze the residential building design and intelligent data mining. …”
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Experimental studies of radar image construction algorithms for propellers and measurement method for repetition frequencies of the blades by S. R. Heister, T. T. Nguyen

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Evaluation and Analysis of Animation Multimedia 3D Lip Synchronization considering the Comprehensive Weighted Algorithm by Zhe Xu

“…How to carry out 3D lip synchronization effectively and accurately is an important research direction in the field of multimedia. On this basis, a comprehensive weighted algorithm is introduced in this paper to sort out the related laws and the time of lip pronunciation in animation multimedia, carry out the vector weight analysis on the texts in the animation multimedia, and synthesize a matching evaluation model for 3D lip synchronization. …”
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Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service by Haobin WANG, Wei HUANGFU, Yaxi LIU, Wei LIU

“…The research on the mobile communication network optimization for the Internet of things large connection and differential service quality has great significance.Mobile communication network optimization is a multi-parameter complex optimization problem with high computational cost function.In order to provide the basis for parallelization of operations,the calculation method of the coverage quality assessment of the mobile communication network based on the computational graph was introduced.Based on the calculation graph,the derivative calculation method of the coverage quality index was obtained,by back propagation to guide the optimization of the antenna parameters.The momentum method was used to accelerate the convergence speed of the optimization algorithm.The simulation results show that the algorithm is suitable for the coverage optimization in mobile communication network.…”
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Network function virtualization fault analysis and processing method based on improved intelligent optimization algorithm by Zhiming WANG, Bing CHEN

“…Network function virtualization has become an important trend in the global development of telecommunications industry，with the rapid development of network function virtualization and rapid growth of the telecommunications business，analysis and processing of data is too large to deal with，its problems such as low efficiency of fault analysis and processing have become increasingly prominent.For the increasingly urgent development needs of network function virtualization，fault analysis and processing method based on improved intelligent optimization algorithm is important for the rapid and sustainable development of network function virtualization.Based on the research of the convention mechanism of fault analysis and processing for network function virtualization，a method of fault analysis and processing for network function virtualization based on improved intelligent optimization algorithm was presented，it could solve the existing problems of fault analysis and processing for network function virtualization better.…”
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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

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Improved adaptive FPGA dark channel prior dehazing algorithm for edge applications in agricultural scenarios by Qunpeng Gao, Baiquan Qian, Fengqi Yu, Liye Chen, Peng Gao, Jiatao Wu, Zonghong Li, Weixing Wang, C.V. Jiaxing Xie

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Multi-UAV Search and Rescue with Enhanced A∗ Algorithm Path Planning in 3D Environment by Yuwen Du

“…The tasks of mapping the environment and searching for target points by UAV swarms are discussed in this study. Our research enhances A∗ algorithms for generating the shortest collision-free paths for drone swarms. …”
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Accuracy analysis on access hyper-point real-time detection algorithms in high-speed network by Haiqing YU, Wei DING, Jie XU

“…Real-time access hyper-point helps managers better control the network.Under high-speed network conditions,the difficulty in accessing hyper-point detection lies in the pressure exerted by large traffic on computing.Based on the 40 Gbit/s bandwidth network environment,from the perspective of accuracy analysis,the flow record statistics algorithm and the estimation-based superpoint detection algorithm were compared.The flow record statistical algorithm was improved by the threshold model based on heavy-tailed distribution.The estimation-based superpoint detection algorithm was implemented in the GPU environment by SRLA.The research results show that the estimation-based hyper-point detection algorithm which has obviously higher accuracy and more room for improvement is more suitable for real-time detection of hyper-point in high-speed network than the flow record statistical algorithm.…”
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Path Tracking Control of Fixed-Wing Unmanned Aerial Vehicle Based on Modified Supertwisting Algorithm by Chenbo Zhao, Luji Guo, Qichen Yan, Zhe Chang, Pengyun Chen

“…The research begins by establishing the motion model of the fixed-wing UAV. …”
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An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis by Omar Qasim, Israa Mohammed

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Self-learning Based Location Accuracy Control Algorithm for JJC Catenary Maintenance Vehicle Platform by LYU Maoyin, WU Qingli, NIU Xuexin, ZHAO Longpan

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Improvement of Whitson algorithm for chemical/gravity equilibrium calculations to compute compositional gradient in petroleum reservoirs by Mohammad Hossein Sedaghat, Ahmad Daliri, Hossein Mohammadi

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Mahakala: A Python-based Modular Ray-tracing and Radiative Transfer Algorithm for Curved Spacetimes by Aniket Sharma, Lia Medeiros, George N. Wong, Chi-kwan Chan, Goni Halevi, Patrick D. Mullen, James M. Stone

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K-Means Centroid Optimization with Genetic Algorithm for Clustering Micro, Small, Medium Enterprises in Yogyakarta by Muhammad Faris Akbar, Lisna Zahrotun

“…However, the weakness of K-Means is in determining the cluster centroid randomly, which can result in suboptimal clustering results, especially since it tends to get stuck on local solutions. This research aims to overcome this weakness by integrating the Genetic Algorithms (GA) into the K-Means process, optimizing the initial centroid, and improving clustering quality. …”
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An adaptive weighting algorithm for accurate radio tomographic image in the environment with multipath and WiFi interference by Manyi Wang, Zhonglei Wang, Xiongzhu Bu, Enjie Ding

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