Distributed variational sparse Bayesian compressed sensing based on factor graphs by Cui-tao ZHU, Fan YANG, Han-xin WANG, Zhong-jie LI

“…A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the statistical inference of the spectrum occupancy,to implement the “soft fusion”.The temporal and spatial correlation information providing two-dimensional redundancies was exchanged among cooperative cognitive users to improve the detection performance under low SNR.Meanwhile,the algorithm prunes the divergence of hyper-parameters and the corresponding basis functions for reducing the load of communication.The simulation results show that this method can effectively achieve performance of spectrum sensing under a low sampling rate and the low SNR.…”
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Virtual Surgical Training Methods for Spinal Surgery by Huang Guoyao

“…The main contributions include extracting key operative steps from real surgery videos to design a complete training process, reconstructing 3D human tissue models from medical imaging data using voxel segmentation and the Marching Cubes algorithm, developing a real-time interactive soft tissue deformation model with the XPBD algorithm ,incorporating AABB and spatial hashing for collision detection and GPU acceleration, and designing system modules to simulate procedures such as bone grinding, ligament exposure, and disc clamping.…”
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On Feasibility and Asymptotically Stability of Switched Systems Using Adaptive Multi-Model Predictive Control by Mohammad Fathi, Hossein Bolandi, Bahman Ghobrani Vaghei, Saeed Ebadollahi

“…The proposed control structure uses a supervisor algorithm along with a soft-switching technique. The supervisor algorithm is responsible for determining the suitable local model/controller pair, determining the operational mode of the control system, managing the soft switching, and specifying the control objectives in accordance with the defined set point. …”
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Machine Learning-Assisted Mitigation of Optical Multipath Interference in PAM4 IM-DD Transmission Systems by Wenxin Cui, Jiahao Huo, Jin Zhu, Jianlong Tao, Peng Qin, Xiaoying Zhang, Haolin Bai

“…In this scheme, KNN-aided SVM serves as a soft decision algorithm that adapts the decision threshold to signal amplitude fluctuations, improving the decision accuracy for MPI-affected PAM4 signals. …”
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Collision Detection and Reaction for Quadrotors Using Encoder-Integrated Tombo Propellers by Hung Tien Pham, Quang Ngoc Pham, Quan Khanh Luu, Giuseppe Loianno, Van Anh Ho

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A non‐convex ternary variational decomposition and its application for image denoising by Liming Tang, Liang Wu, Zhuang Fang, Chunyan Li

“…An alternating direction iteration algorithm combining with iteratively reweighted l1 algorithm, projection algorithm and wavelet soft threshold algorithm is introduced to effectively solve the proposed model. …”
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DAB unified ZVS control strategy with optimal current stress in full power range under TPS control by Shuai Cheng, Fusheng Wang, Zongfeng Han, Chuanqi Zhang

“…Based on three‐phase shift control, Karush–Kuhn–Tucker (KKT) algorithm is used to solve the optimal control strategy of current stress under soft switching conditions, and the interval construction method that KKT cannot solve is given. …”
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A novel transition protocol to post-quantum cryptocurrency blockchains by Sultan Almuhammadi, Sarah Alghamdi

“…The proposed algorithm requires a soft fork of the original blockchain, which makes it more desirable than other hard-fork solutions. …”
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An Automated Feature-Based Image Registration Strategy for Tool Condition Monitoring in CNC Machine Applications by Eden Lazar, Kristin S. Bennett, Andres Hurtado Carreon, Stephen C. Veldhuis

“…A comparison of feature detector-descriptor algorithms found SIFT, KAZE, and ORB to be the most suitable for MV-TCM registration, with KAZE presenting the highest accuracy and ORB being the most computationally efficient. …”
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Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints by Xiumin Liu, Xinyue Zhang, Ye Sheng, Zihe Zhang, Pan Xiong, Xuehai Ju, Junwu Zhu, Caichao Ye

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Method of anti-confusion texture feature descriptor for malware images by Yashu LIU, Zhihai WANG, Hanbing YAN, Yueran HOU, Yukun LAI

“…It is a new method that uses image processing and machine learning algorithms to classify malware samples in malware visualization field.The texture feature description method has great influence on the result.To solve this problem,a new method was presented that joints global feature of GIST with local features of LBP or dense SIFT in order to construct combinative descriptors of malware gray-scale images.Using those descriptors,the malware classification performance was greatly improved in contrast to traditional method,especially for those samples have higher similarity in the different families,or those have lower similarity in the same family.A lot of experiments show that new method is much more effective and general than traditional method.On the confusing dataset,the accuracy rate of classification has been greatly improved.…”
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AI-BASED RESUME SKILLS EXTRACTOR AND RECOMMENDER MODULES FOR STATE UNIVERSITY HUMAN RESOURCE ANALYTICS SYSTEM by Paul Nigel S. Abalos, Thelma D. Palaoag

“…The researchers explored and compared Apriori data mining association rule algorithm and content-based filtering (CBF) approach to match extracted words and phrases from a resumé to skills banks and job posts and generate list of soft and hard skills using support, confidence, and lift metrics for the Apriori algorithm and cosine similarity score for the CBF algorithm, and from there generate job or applicant recommendations. …”
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Intrusion Detection System Based on Decision Tree and Clustered Continuous Inputs by Adel Issa

“…The purpose of this paper is to use ID3 algorithm for IDS and extend it to deal not only with discreet values, but also with continuous ones, by using K_mean algorithm to partition each continuous attribute values to three clusters. …”
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MANAGEMENT AND VALORIZATION OF AGRICULTURAL WASTES FROM WINE PRODUCTION USING STATISTICAL ANALYSIS TO OBTAIN NOVEL FOOD by Gjore NAKOV, Zlatin ZLATEV, Iliana LAZOVA-BORISOVA, Jasmina LUKINAC

“…An analysis of the residuals is made, which are determined by the difference between the values of the model and the actually measured ones. Stat Soft Statistica 12 (Stat Soft Inc.) software was used to create these models. …”
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Maximum independent set in multiplex social networks and its application to influence maximization by Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi

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Research on Path Optimization of Vehicle-Drone Joint Distribution considering Customer Priority by Xiaoye Zhou, Yuhao Feng

“…Compared with the three algorithms and error analysis, the effectiveness of the model and the two-stage algorithm was verified. …”
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Large-scale post-disaster user distributed coverage optimization based on multi-agent reinforcement learning by Wenjun XU, Silei WU, Fengyu WANG, Lan LIN, Guojun LI, Zhi ZHANG

“…In order to quickly restore emergency communication services for large-scale post-disaster users, a distributed intellicise coverage optimization architecture based on multi-agent reinforcement learning (RL) was proposed, which could address the significant differences and dynamics of communication services caused by a large number of access users, and the difficulty of expansion caused by centralized algorithms.Specifically, a distributed k-sums clustering algorithm considering service differences of users was designed in the network characterization layer, which could make each unmanned aerial vehicle base station (UAV-BS) adjust the local networking natively and simply, and obtain states of cluster center for multi-agent RL.In the trajectory control layer, multi-agent soft actor critic (MASAC) with distributed-training-distributed-execution structure was designed for UAV-BS to control trajectory as intelligent nodes.Furthermore, ensemble learning and curriculum learning were integrated to improve the stability and convergence speed of training process.The simulation results show that the proposed distributed k-sums algorithm is superior to the k-means in terms of average load efficiency and clustering balance, and MASAC based trajectory control algorithm can effectively reduce communication interruptions and improve the spectrum efficiency, which outperforms the existing RL algorithms.…”
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Predicting future morphological changes of lesions from radiotracer uptake in 18F-FDG-PET images. by Ulas Bagci, Jianhua Yao, Kirsten Miller-Jaster, Xinjian Chen, Daniel J Mollura

“…Evaluation of segmentation results indicates that our proposed segmentation algorithm has a mean dice similarity coefficient of 85.75 ± 1.75%. …”
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CSDK: A Chi-square distribution-Kernel method for image de-noising under the Internet of things big data environment by Lin Teng, Hang Li

“…It also shows a consistent accuracy, edge preservation, and detailed retention improvement compared to the classic de-noising algorithms.…”
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Research on axial compensation precision puncture control method of prostate puncture robot by Li Bing, Zhu Junwu, Yuan Lipeng

“…Then, an improved adaptive particle swarm optimization (PSO) algorithm based on Levy Flight is proposed to identify parameters of this control model for puncture prostate in this article. …”
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