Research on Automotive Radar Mutual Interference Mitigation Method based on V2X Communication Assistance by Yangshui Gao, Liping Kui, Qinbiao Yang, Lei Xiong, Rong Zhang, Zhenting Chen

“…To solve mixed integer nonlinear programming optimization problems, Q-learning algorithm is introduced. In our Q-learning algorithm, based on the action state space established by transmission power and channel resources, the optimization problem is transformed into solving using a reward function. …”
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Unified Analysis of Decentralized Gradient Descent: A Contraction Mapping Framework by Erik G. Larsson, Nicolo Michelusi

“…The use of these tools yields tight convergence bounds, both in the noise-free and noisy regimes. While these bounds are qualitatively similar to results found in the literature, our approach using contractions together with the MHT decouples the algorithm dynamics (how quickly the algorithm converges to its fixed point) from its asymptotic convergence properties (how far the fixed point is from the global optimum). …”
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Optimal diagnostic strategy for coronavirus disease 2019 detection in liver transplant recipients: Critical review of available evidence by Michael T Olson, Tania Triantafyllou, Saurabh Singhal

“…Liver transplant centers should validate the algorithm presented herein, which is based on existing evidence and designed to maximize patient and provider safety, while assuring accuracy in diagnosis.…”
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Time-Efficient Path Planner in 3D Obstacle-Rich Environments Considering the Maximum Turn Rate of a Fixed-Wing Aerial Vehicle by Jonghoek Kim

“…A time-efficient path plan algorithm is important for the real-time navigation of a fixed-wing autonomous aerial vehicle in unknown 3D obstacle-rich environments. …”
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Research on Network Handover Based on User Movement Prediction in Visible Light Communication and Wi-Fi Heterogeneous Networks by Chenghu Ke, Mengfan Wang, Huanhuan Qin, Xizheng Ke

“…Extracting meaningful and important location points from massive trajectory data for clustering, an improved hidden Markov model is used to predict the user’s next location by analyzing the patterns of the user’s historical mobile trajectory data. The Q-learning algorithm is then used to determine the optimal network handover based on the current network state, while a seamless handover protocol is introduced to ensure successful network transition and uninterrupted data transmission. …”
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FPGA-Based Deep Neural Network Implementation for Handwritten Digit Recognition by Matej Štajnbrikner, Igor Valek, Tomislav Matić, Mario Vranješ

“…The proposed network achieves promising results in terms of system simplicity and low consumption of hardware resources while maintaining acceptable recognition accuracy and algorithm execution speed at the same time. …”
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Guide Robot Based on Image Processing and Path Planning by Chen-Hsien Yang, Jih-Gau Juang

“…While guide dogs remain the primary aid for visually impaired individuals, robotic guides continue to be an important area of research. …”
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Linguistic Intuitionistic Fuzzy VIKOR Method with the Application of Artificial Neural Network by John Robinson Peter Dawson, Leonishiya Arockia Selvaraj

“…In the LIF-VIKOR algorithm, the proposed correlation coefficient is used for ranking alternatives, while the entropy method is applied to compute weights. …”
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Gaussian Process Regression with Soft Equality Constraints by Didem Kochan, Xiu Yang

“…Additionally, we introduce an adaptive learning algorithm to optimize the selection of constraint locations to further enhance the flexibility of the method. …”
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An Improved Pose Estimation Method Based on Projection Vector With Noise Error Uncertainty by Jiashan Cui, Changwan Min, Xiangyun Bai, Jiarui Cui

“…Finally, we use global convergence theorem to prove the global convergence of the proposed algorithm. The results show that the proposed method has good robustness and convergence while adapting to different degrees of error uncertainty, which can meet practical engineering applications.…”
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Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…Consequently, the proposed RSSPCA algorithm generally outperforms existing algorithms in face reconstruction and recognition. …”
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ANTIBIOTIC SENSITIVITY ISOLATION EVALUATION OF MAJOR MICROORGANISMS IN PERIODONTAL TISSUE PATHOLOGY by S.B. Kostenko

“…Determination of levels antibiotic sensitivity was carried out using a disco-diffusion method with the advice and algorithm identified by order MOH Ukraine 05.04.2007 № 167 "On Approval of guidelines" Determination of the sensitivity of microorganisms to antibiotics and in accordance with the recommendations EUCAST (Eurepean Committee on Antimicrobial Susceptibility Testing). …”
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Pemeringkatan Pencarian pada Buku Pedoman Akademik Filkom UB Menuju Merdeka Belajar dan Free E-Book Pembelajaran Sebagai Prototype Local Smart Micro Search Engine Menggunakan Algor... by Imam Cholissodin, Akhmad Sa’rony, Rona Salsabila, Ilham Firmansyah, Guedho Augnifico Mahardika, Andreas Pardede, Zaien Bin Umar Alaydrus

“…Users must master the whole to find out which documents are most suitable, which is where the process will take a lot of time. …”
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Neural Networks Method in modeling of the financial company’s performance by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…The copyright factor selection algorithm complements the developed model. Because of the functioning of the neural network, a management report on the financial performance of the company is formed. …”
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Integration of bulk RNA-seq and scRNA-seq reveals transcriptomic signatures associated with deep vein thrombosis by Bao-ze Pan, Ming-jun Jiang, Li-ming Deng, Jie Chen, Xian-peng Dai, Zi-xuan Wu, Zhi-he Deng, Dong-yang Luo, Yang-yi-jing Wang, Dan Ning, Guo-zuo Xiong, Guo-shan Bi

“…This study aimed to identify and examine the most distinctive genes linked to DVT.MethodsIn this study, the bulk RNA sequencing (bulk RNA-seq) analysis was conducted on whole blood samples from 11 DVT patients and six control groups. …”
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Performance analysis and optimization of cooperative spectrum sensing for maximizing secondary throughput by LI Mei-ling1, YUAN Chao-wei1, LI Lin1, YANG Rui-zhe3

“…The relationship among SU,detection threshold,bandwidth,spectrum utilization and secondary throughput in cognitive radio networks was analyzed,which indicates the lower false alarm probability,higher spectrum utilization and larger secondary throughput with less SU in C-CSS（censoring based cooperative spectrum sensing）,besides,the required detection threshold for maximizing the secondary throughput different with the traditional CSS under given SU number and the objective demand.Based on the NP criticism,an optimal cooperative spectrum sensing algorithm for maximizing the secondary throughput was proposed by solving the mathematic model to obtain the optimal party of SU and detection threshold.Theoretical analysis and simulation results show that the maximized secondary throughput achieved by the proposed optimal algorithm,while maintaining the given detection probability.…”
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A Quantum Implementation Model for Artificial Neural Networks by Ammar Daskin

“…In quantum computing, the phase estimation algorithm is known to provide speedups over the conventional algorithms for the eigenvalue-related problems. …”
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URALP: Unreachable Region Aware Location Privacy against Maximum Movement Boundary Attack by Nha Nguyen, Seungchul Han, Minho Shin

“…In this paper, we present an anonymization algorithm that effectively counters such attacks while achieving k -anonymity requirements as well as minimum acceptable cloaked region size. …”
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Crowd abnormal behavior detection based on motion similar entropy by Fei LI, Ken CHEN, Meng LI, Chunmei GUO

“…It is an important research content of graphic processing in the field of intelligent video surveillance to detect abnormal events.An algorithm based on entropy of motion similarity (EMS) to detect abnormal behavior was proposed.Based on the optical flow algorithm,taking the bottom flow block as the basic unit to get the scene motion information,according to the concept of social network model,the construction scene of the motion network model (MNM) was proposed,the division of the scene particles motion similarity was completed,and the distribution EMS of MNM was calculated in the time domain.Finally,the obtained image entropy was compared with the reasonable threshold,to determine whether abnormal behavior occured.Experimental results indicate that the proposed algo-rithm can detect abnormal behavior effectively and show promising performance while comparing with the state of the art methods.…”
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DiffPRFs:random forest under differential privacy by Hai-rong MU, Li-ping DING, Yu-ning SONG, Guo-qing LU

“…A differential privacy algorithm DiffPRFs based on random forests was proposed.Exponential mechanism was used to select split point and split attribute in each decision tree building process,and noise was added according to Laplace mechanism.Differential privacy protection requirement was satisfied through overall process.Compared to existed algorithms,the proposed method does not require pre-discretization of continuous attributes which significantly reduces the performance cost of preprocessing in large multi-dimensional dataset.Classification is achieved conveniently and efficiently while maintains the high accuracy.Experimental results demonstrate the effectiveness and superiority of the algorithm compared to other classification algorithms.…”
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