Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

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A new aggregation and riming discrimination algorithm based on polarimetric weather radars by A. Blanke, M. Gergely, S. Trömel, S. Trömel

“…Considering balanced accuracy, the algorithm is able to correctly predict 74 % of the observed riming features; thus, the feasibility of reliable riming detection with national radar networks has been successfully demonstrated.…”
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Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion by Dinesh Kumar Nishad, Saifullah Khalid, Dharmendra Prakash, Vinay Kumar Singh, Priyanka Sahani

“…Conventional tracking algorithms, typically based on the assumption of constant velocity, are poorly suited for such dynamic scenarios. …”
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Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions by V. F. Korotkov, R. S. Zyryanov

“…This paper deals with the radio source type detection algorithm with a complicated time-frequency structure. …”
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Evaluation of Cluster Algorithms for Radar-Based Object Recognition in Autonomous and Assisted Driving by Daniel Carvalho de Ramos, Lucas Reksua Ferreira, Max Mauro Dias Santos, Evandro Leonardo Silva Teixeira, Leopoldo Rideki Yoshioka, João Francisco Justo, Asad Waqar Malik

“…Perception systems for assisted driving and autonomy enable the identification and classification of objects through a concentration of sensors installed in vehicles, including Radio Detection and Ranging (RADAR), camera, Light Detection and Ranging (LIDAR), ultrasound, and HD maps. …”
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Parameter Identification of ARX Models Based on Modified Momentum Gradient Descent Algorithm by Quan Tu, Yingjiao Rong, Jing Chen

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Efficient Fault-Tolerant Event Query Algorithm in Distributed Wireless Sensor Networks by Rongbo Zhu

“…An imprecise and missing data correction algorithm based on Kalman filter is proposed to correct fault sensing data, and a score rank algorithm also is proposed to assign each sensor an appropriate value to reflect the importance of sensors. …”
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Two key algorithms for intelligent inspection robots in electric bicycle charging sheds by Yingjian An, Ge Wei

“…For component recognition, the enhanced SOLOv2 algorithm augments feature pyramid outputs with larger hierarchical maps, improving small-target accuracy (e.g., button detection from 52.9% to 62.5%) without compromising processing speed. …”
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Robust DWT-HMM image watermarking algorithm optimized with content-adaptive approach by WANG Chun-tao1, NI Jiang-qun1, HUANG Ji-wu1, ZHANG Rong-yue1, LUO Xi-zhang1

“…A robust watermarking algorithm based on content-adaptive approach was proposed to optimize the tradeoff between robustness and imperceptibility,which was characterized as follows: the entropy masking proposed by Watson etc.was constructed in wavelet domain,which was then used to constitute the integrated HVS model;three different measures,namely,energy,entropy and integrated HVS,for content-adaptive selection were constructed and investigated;repeat-accumulate（RA） code with erasure and error correction was used to tackle the synchronization issue of the exact positions for watermark embedding;and a posteriori DWT-HMM detector was utilized for watermark detection.Simula-tion results show that the proposed content-adaptive watermarking algorithm,under the same imperceptibility,has con-siderable improvement in robustness performance over the traditional one with stochastic approach.…”
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Hurst and priority adaptive RED combined with dynamic scheduling algorithm based on AOS by Yu-xia BIE, Cheng-sheng PAN, Hai-yan LIU, Yan-chun WANG

“…In order to efficiently transmit different types of high-capacity and burst data,based on virtual channel multiplexing technology on advanced orbiting systems(AOS),a Hurst and priority adaptive random early detection(RED) combined with dynamic scheduling algorithm named HPRED-DS was proposed.In queue management state,the algorithm designed an adaptive two-level packet dropping strategy based on Hurst parameter and priority.In virtual channel scheduling state,a VIP,synchronous and asynchronous mixed virtual channels scheduling mode was designed.Meanwhile,the algorithm efficiently combined queue management and virtual channel scheduling.Experimental results show that on the basis of maintaining high treatment efficiency and throughput,the algorithm stabilizes queue length,reduces delay and delay jitter,can meet various services’transmitting requirement.…”
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Blockchain address risk behavior identification algorithm based on neural differential equations by LIANG Fei, WANG Ruili

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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…This model is combined with fast computational image segmentation algorithm, alternating direction method of multipliers (ADMM), to solve the level-set equations. …”
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Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm by Cao Yi, Zhang Jingtao, Zhao Pu, Li Lei, Guo Yinhui

“…is used for configuration and the model is simplified to improve the efficiency of the collision detection. The extended target change strategy and variable step size are introduced to improve the algorithm which is based on the target biased RRT algorithm. …”
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Nonconvex Optimization of Collaborative Multiband Spectrum Sensing for Cognitive Radios with Genetic Algorithms by Michele Sanna, Maurizio Murroni

“…We propose an alternative optimization technique based on genetic algorithms. Genetic programming performs a direct search of the optimal solution without approximations and solution domain restrictions. …”
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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…The algorithm has very strong exploring precision and variable function, which makes this algorithm of fewer iterations, and can effectively improve the real-time detection of pipeline leakage source in pipeline corridor. …”
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INTERPRETABLE PREDICTIVE MODEL OF NETWORK INTRUSION USING SEVERAL MACHINE LEARNING ALGORITHMS by Muhammad Ahsan, Arif Khoirul Anam, Erdi Julian, Andi Indra Jaya

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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
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Variable Selection Algorithm for Explaining Anomalies in Real-World Regenerative Thermal Oxidizers by Min-Ji Seo, Myung-Ho Kim

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A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environments by Javidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani

“…Experimental results show that proposed strategies compared to other schemes such as reinitialized midpoint check, hill-valley detection with three checkpoints, and merging information of collided populations have the same or even higher ability to improve the performance of the multi-swarm PSO algorithms in moving peaks benchmark.…”
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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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