An Improved Coordinated Multi-point Multi-user Precoding Algorithm by SUN Zeng-you, LIU Ling-yu

“…To solve these two problems，an improved linear precoding algorithm is proposed. Computational complexity，system capacity and bit error rate ( BEＲ) as the indicators were used to evaluate the algorithm performance. …”
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Cognitive radio auto-adaptive sensing algorithm based on POMDP by Rui-chen XU, Ting JIANG

“…In order to design an appropriate spectrum sensing mechanism in millisecond spectrum hole environment,the optimal data transmission time of secondary users was derived to maximize the data throughput.Furthermore,in order to exploit the millisecond spectrum holes,an auto-adaptive spectrum sensing algorithm based on POMDP (partially observ-able Markov decision process) was proposed.This algorithm executes spectrum sensing or data transmission action in the current decision epoch based on the belief vector and the observation result in the last decision epoch.Simulation results show that the proposed algorithm can constrain the collision probability between primary users and secondary users,and improve systemic spectrum utilization at the same time.…”
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Comprehensive Adaptive Enterprise Optimization Algorithm and Its Engineering Applications by Shuxin Wang, Yejun Zheng, Li Cao, Mengji Xiong

Subjects: “…enterprise optimization algorithm…”
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Random Forest Algorithm for Toddler Nutritional Status Classification Website by Maylia Fatmawati, Bambang Agus Herlambang, Noora Qotrun Nada

“…Accurate data processing is essential for classifying toddler nutritional status on a website platform. The Random Forest algorithm is particularly effective in this context due to its ability to manage large datasets and mitigate overfitting. …”
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An Improved Reinforcement Learning Algorithm for Cooperative Behaviors of Mobile Robots by Yong Song, Yibin Li, Xiaoli Wang, Xin Ma, Jiuhong Ruan

“…Reinforcement learning algorithm for multirobot will become very slow when the number of robots is increasing resulting in an exponential increase of state space. …”
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ALGORITHM FOR OPTIMIZATION OF STRUCTURE AND COMPOSITION OF CENTRALIZED HEAT-SUPPLY SYSTEM by V. Sednin, A. Korznikov, A. Sednin, I. Shkliar

“…The paper presents algorithms for structure optimization of centralized heat-supply systems in large cities due to higher heat loads and necessity for equipment change. …”
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Algorithm for Reducing the Number of Forwarding Rules Created by SDN Applications by Ivan S. Petrov

“…We introduce a heuristic algorithm that creates a reduced representation for sets of rules installed in the network. …”
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Machine Learning Algorithms for Retinal Image Analysis and Glaucoma Detection by Akhter Hussain Syed, Pratap Mohanrao Mohite, Sandip Eknathrao Ingle, Mohammad Waseem Ahmed Siddiqui, Zeeshan Raziuddin Mohammed

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Scheduling in Sensor Grid Middleware for Telemedicine Using ABC Algorithm by T. Vigneswari, M. A. Maluk Mohamed

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A Combined Cubic and Novel Line Search CG-Algorithm by Abbas Al-Bayati, Hamsa Chilmerane

Subjects: “…cg-algorithms…”
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Multi-clustering algorithm based on improved tensor chain decomposition by ZHANG Hongjun, ZHANG Zeyu, ZHANG Yingjiao, YE Hao, PAN Gaojun

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Improved satellite resource allocation algorithm based on DRL and MOP by Pei ZHANG, Shuaijun LIU, Zhiguo MA, Xiaohui WANG, Junde SONG

“…In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource allocations in multi-beam satellite systems,a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance and user satisfaction degree.With considering the normalized weighted sum of spectrum efficiency,energy efficiency,and satisfaction index as the optimization goal,the dynamically changing system environments and user arrival model were built by the proposed algorithm,and the optimization of the accumulative performance in satellite systems based on DRL and MOP was realized.Simulation results show that the proposed algorithm can solve the MOP problem with rapid convergence ability and low complexity,and it is obviously superior to other algorithms in terms of system performance and user satisfaction optimization.…”
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Study on security routing algorithm based on dynamic adjacent trust by Ting HAN, Shou-shan LUO, Yang XIN, Yi-xian YANG, Gong CHENG, Xiao WU

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An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…To address issues with traditional object detection algorithms, such as large parameter counts, low detection accuracy, and high miss rates, this paper proposes an insulator detection algorithm based on an improved YOLOv5 model. …”
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MF-YOLO: Mask Wearing Detection Algorithm for Dense Environments by Peng Wen, Zhengyi Yuan, Junhu Zhang, Haitao Li

“…Experimental results in the public MASK dataset and the self-built SFMD dataset demonstrate that the proposed algorithm significantly accelerates convergence while improving accuracy by 2.1% and 1.3%, respectively, compared to the original network. …”
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Reversible data hiding algorithm based on asymmetric histogram shifting by Yufen HE, Zhaoxia YIN, Jin TANG, Lei LIU, Shilei HUANG

“…The shifting of two asymmetric histograms in opposite directions in data embedding respectively had produced the pixel compensation and restore effect,a better reversible data hiding algorithm based on pixel prediction was proposed,two asymmetric histograms of prediction error were generated on the more right and the more left side of zero value,when they were shifed in the second data embedding stage,more pixels would be restored to the original image pixel value to reduce image distortion and improve the image quality.Compared with the traditional algorithm,it reduces the amount of pixels involved in the histogram shifting and protects the quality of secret image.…”
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Robust interference alignment algorithm for cognitive MIMO interference network by Shi-lei ZHU, You ZHOU, Xiu-kun REN, Han-ying HU

“…A robust interference alignment algorithm was proposed for underlay cognitive MIMO interference network with imperfect channel-state information (CSI).Firstly,imperfect CSI was characterized by Euclidean ball-shaped uncer-tainty,based on which the optimization model of transmitting precoding and receiving interference subspace matrix was constructed with aimed of minimizing interference leak Then,primary users' interference temperature constraint un-der the worst-case condition was derived according to the matrix norm inequality.Finally,alternate iteration expressions of transceiver matrixes were obtained exploiting Lagrange partial dual-decomposition theory and sub-gradient update method.Moreover,the proposed algorithm's application condition and degrees of freedom range were theoretically ana-lyzed.Simulation results show that the proposed algor m is robust and its secondary users' network performance out-performs existing algorithms'.…”
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Image Segmentation Based on New Modification on Normalized-Cut Algorithm by Khalil Alsaif

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Dual Key Speech Encryption Algorithm Based Underdetermined BSS by Huan Zhao, Shaofang He, Zuo Chen, Xixiang Zhang

“…In the decryption process, approximate calculation is used to recover the original speech signals. The proposed algorithm for speech signals encryption can resist traditional attacks against the encryption system, and owing to approximate calculation, decryption becomes faster and more accurate. …”
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New signcryption algorithm for secure communication of ad hoc networks by ZHANG Chuan-rong1, ZHANG Yu-qing1, LI Fa-gen3, XIAO Hong2

“…At first, a new identity based signcryption algorithm was proposed; its security and efficiency were analyzed. …”
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