Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…Our approach employs a fast algorithm addressing the s-t max-flow/min-cut problem, incorporating anatomical knowledge of soft tissues in the human body. …”
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Improved Variable Structure Interacting Multimodels for Target Trajectory Tracking and Extrapolation by Xuanming Ren, Xinmin Tang, Yang Zhou, Xiangmin Guan

“…Secondly, according to the principle of directed graph switching, a model set switching method is designed, which is mainly based on “hard” switching and supplemented by “soft” switching. Finally, the INT-VSIMM algorithm is used to track the trajectory of the target aircraft, and short-term trajectory extrapolation is performed based on the target state estimation. …”
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Active disturbance rejection control for reducing vehicle body displacement based on an extended state observer and dynamic fuzzy techniques by Tuan Anh Nguyen

“…The article’s novel contribution is to propose a solution for determining a reference signal and adjusting control parameters using soft computing techniques. Simulations are performed in three cases (corresponding to three types of road excitation signals) to validate the performance of the proposed algorithm. …”
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Optimization of external container delivery and pickup scheduling based on appointment mechanism. by Pengfei Huang, Hao Wang, Fangjiao Tan, Yuyue Jiang, Jinfen Cai

“…Building upon the traditional Ant Colony Optimization (ACO) algorithm, this paper introduces an adaptive version of the ACO algorithm. …”
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Optimization of connection patterns between mobile phones and base stations using quantum annealing by Taisei Takabayashi, Shoichi Sudo, Toshihiro Aoki, Shun Seo, Masayuki Ohzeki

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Novel SMA BASED Elmanspiking neural network modelled fuzzy PI controller for speed-torque regulation of PMSM by Lakshmipriya Natarajan, Mamdooh Alwetaishi, Chu Liang Lee, S. D. V. V. S. Bhimeshwar Reddy

“…In this paper, this soft computing controller possess randomness during first phase of weight update and during optimal gain value determination Simulation process for the designed new soft computing controller was done in MATLAB.…”
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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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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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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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