Multi-feature fusion-based consumer perceived risk prediction and its interpretability study. by Lin Qi, Yunjie Xie, Qianqian Zhang, Jian Zhang, Yanhong Ma

“…Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”
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One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction by Xiaojun Jia, Zihao Liu

“…The decoding approach relies on the robust pattern element tracking algorithm (PETA) and generic features of pattern elements to segment and cluster the projected structured light pattern from a single captured image. …”
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Dynamical behavior analysis and control of time-varying lifting system based on fuzzy adaptive back-stepping controller by Wang Lei, Cao Guohua

“…Thirdly, based on Lyapunov function, the asymptotic stability of the system under the proposed control algorithm is verified. Finally, compared with proportion–integration–differentiation (PID) back-stepping controller, the efficiency of the proposed controller is proven by applying excitation with different frequency and uncertain parameters, and the adaptability and robustness are illustrated to validate under mixed frequency disturbance by simulation compared with PID back-stepping controller. …”
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Aerial reconfigurable intelligent surfaces-assisted full-duplex UAV secure communication by LUO Junsong, HUANG Ping, LUO Xinyue, LAI Huan, DUO Bin, YUAN Xiaojun

“…An optimization problem was designed to maximize the minimum average achievable security rate by jointly optimizing user communication scheduling, transmission power, the interference power sent by UAV, their flight trajectories, and the phase shifts and trajectories of ARIS. An iterative algorithm based on alternating optimization (AO), semi-definite relaxation (SDR) techniques, and successive convex approximation (SCA) was proposed to obtain high-quality suboptimal solutions. …”
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Passenger Flow Path Prediction Based on Urban Rail Transit AFC Data: An Example of Chengdu, China by Yu Wang, Qixuan Qin, Jialiang Chen, Jiangbo Wang, Kai Liu

“…Furthermore, a two-way search algorithm is developed to search the optimal paths between origin-destination (OD) pairs by considering interchange constraints. …”
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Feature Selection and Machine Learning Approaches for Detecting Sarcopenia Through Predictive Modeling by Akhrorbek Tukhtaev, Dilmurod Turimov, Jiyoun Kim, Wooseong Kim

“…Additionally, the CatBoost algorithm was used for training, and SMOTE-Tomek addressed dataset imbalance. …”
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3D DC Resistivity Inversion with Topography Based on Regularized Conjugate Gradient Method by Jian-ke Qiang, Xue Han, Shi-kun Dai

“…By incorporating topography into inversion, the artificial anomaly which is actually caused by topography can be eliminated. As a result, this algorithm potentially can be applied to process the DC resistivity data collected in mountain area. …”
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Secure hidden keyword searchable encryption schemewith fine-grained and flexible access control by Yang YANG, Bo-gang LIN, Mao-de MA

“…Aiming at solving these problems, a hidden keyword searchable encryp-tion scheme with fine-grained access control was proposed utilizing CP-ABE (ciphertext-policy attribute based encryp-tion) algorithm. Data owners allocate specific and flexible access policy on their data that is stored on a third-party data server. …”
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Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model by Yu Wang, Erxia Du, Sanqiang Yang, Li Yu

“…Considering the above characteristics, this study proposes an improved particle swarm optimization of support vector machine (IPSO-SVM) algorithm model, which combines optimized particle swarm optimization (IPSO) and support vector machine (SVM) and applies it to slope stability prediction. …”
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Innovation of Urban Circular Economy Growth Path Based on Neural Network by Weifeng Qiu, Yi Yang

“…Moreover, it has obvious advantages over the traditional algorithm in terms of error and recall rate. Compared with the actual economic data, the economic data predicted by the model is quite consistent, and the prediction of future data by the model basically accords with the development goal of the regional master plan. …”
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Precision assembly error analysis of parts based on multi-constraint surface matching by Wenbin Tang, Tong Yan, Jinshan Sun, Yadong Li

“…A nonlinear control mechanism is further introduced to dynamically adjust inertia weight, and a simulated annealing mechanism is integrated into the particle swarm optimization algorithm to enhance the efficiency of the surface matching process. …”
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Pore structure characterization of porous building material by X-ray computed tomography (XCT) and X-ray microscopy (XRM) by Chengnan Shi, Jeroen Soete, Hans Janssen

“…Additionally, scanning the same sample with a finer voxel size naturally captures more details, and allows the pore network extraction algorithm to better preserve pore structure. On the other hand, the impact of sample size on pore network characterization for ceramic brick is negligible if the oversized sample allows sufficient X-ray transmission.  …”
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A Two-Stage Method for Structural Damage Prognosis in Shear Frames Based on Story Displacement Index and Modal Residual Force by Asghar Rasouli, Seyed Sina Kourehli, Gholamreza Ghodrati Amiri, Ali Kheyroddin

“…In the second stage, by defining a new objective function, the extent of the actual damage is determined via an imperialist competitive algorithm. The performance of the proposed method is demonstrated by implementing the technique to three examples containing five-, ten-, and twenty-five-story shear frames with noises and without them in modal data. …”
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Delay-constrained and jitter-optimized traffic allocation for multipath routing in wireless mesh networks by CHEN Zhi-gang1, ZENG Feng1, LI Qing-hua1

“…In order to improve the QoS for multimedia application,which focused on the delay-constrained and jit-ter-optimized traffic allocation problem in multipath routing.First of all,based on the network calculus theory,a deep analysis on the upper bound of delay in the single route transmission was dore,and deduce the upper bound formulation of delay and jitter in multiple route transmission,and find out the maximum income rate satisfying the delay constraint for a route.Then,based on the upper bound of delay and jitter,a delay-constrained and jitter-optimized traffic allocation algorithm DCJOTA was proposed,which distributes the traffic to a route in proportion to its maximum income rate,and does some adjustment to optimize the jitter.At last,the implement methods of DCJOTA were given to run in NS2,and simulation is done.Experimental results show that the DCJOTA embedded multipath routing protocol DCJO-AOMDV outperforms AOMDV at the term of end-to-end delay and jitter.Compared with AOMDV,DCJO-AOMDV has made the end-to-end delay and jitter decreased by 3.9% and 24.5% respectively.But,DCJOTA puts a litter complexity on the rout-ing protocol,which leads to the network throughput decreased by 1.7% in DCJO-AOMDV.…”
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Relations of Society Concepts and Religions from Wikipedia Networks by Klaus M. Frahm, Dima L. Shepelyansky

“…Using the reduced Google matrix algorithm, we determine relations and interactions of 23 society concepts and 17 religions represented by their respective articles for each of the eight editions. …”
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A Three-Step Heuristic Approach to the Electric Vehicle Path Planning Problem considering Charging by Shengping Yu, Yunfang Wang, Ruiyou Zhang, Junxiang Wang

“…Taking into account real-time traffic information and energy consumption information related to road conditions, a three-step heuristic algorithm based on preprocessing traffic network, charging path planning, and subpath planning is proposed for the electric vehicle path planning problem. …”
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Spatial spectrum based blind spectrum sensing for multi-antenna cognitive radio system by Chang LIU, SajjadAli Syed, Rui ZHANG, Si-ying LI, Jie WANG, Ming-lu JIN

“…State-of-the-art sensing methods only exploit three dimensions of the spectrum space:frequency，time and space whereas the angle dimension has not been exploited well enough for opportunistic spectrum access.Motivated by this，the authors apply angle of arrival (AOA) estimation algorithm to spectrum sensing and propose two blind spectrum sensing methods based on spatial spectrum.First is based on the ratio of maximum to minimum delay-sum spatial spectrum; the other is based on the ratio of average to minimum delay-sum spatial spectrum.Taking the advantage of spatial matched filtering，the proposed methods can achieve high probability of detection as well as offer the AOA information for spectrum access，which improve the spectrum efficiency.In addition，utilizing latest random matrix theories (RMT)，this work quantifies the detection threshold and derives the probabilities of detection for the proposed methods in theory.Extensive simulations carried out in Nakagami-m fading channel indicate that the proposed methods outperform the existing blind spectrum sensing methods.…”
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Fast Pedestrian Recognition Based on Multisensor Fusion by Hongyu Hu, Zhaowei Qu, Zhihui Li, Jinhui Hu, Fulu Wei

“…A fast pedestrian recognition algorithm based on multisensor fusion is presented in this paper. …”
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Convergent Power Series of sech⁡(x) and Solutions to Nonlinear Differential Equations by U. Al Khawaja, Qasem M. Al-Mdallal

“…The method provides also a robust and very efficient numerical algorithm for solving nonlinear differential equations numerically. …”
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Reduced‐order multisensory fusion estimation with application to object tracking by Vladimir Shin, Vahid Hamdipoor, Yoonsoo Kim

“…Also, unlike existing suboptimal fusion filters such as the covariance intersection, the proposed ROF algorithm makes use of nonzero cross‐covariances between local filters that greatly improve its estimation accuracy. …”
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