Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…Additionally, we aim to utilize computationally feasible sampling techniques to analyze the distribution of the solution, enabling an in-depth evaluation of the results. To achieve these goals, we apply a rapid regularized Markov Chain Monte Carlo (MCMC) reconstruction method [4, 5], employing the Metropolis-Adjusted Langevin Algorithm (MALA) [6] and its Lipschitz-adaptive variant (LipMALA) [7]. …”
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Emotion Recognition in the Eye Region Using Textural Features, IBP and HOG by Laura Jalili, Josue Espejel, Jair Cervantes, Farid Lamont

“…Through meticulous examination and experimentation, we explore the effectiveness of different facial regions in conveying emotions. Our analysis encompasses two datasets and evaluation methodologies to ensure a comprehensive understanding of emotion recognition capabilities. …”
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Semi-automated annotation for video-based beef cattle behavior recognition by Zhiyong Cao, Chen Li, Xiujuan Yang, Shuai Zhang, Ling Luo, Hao Wang, Hongbo Zhao

“…Six beef cows in a captive barn were selected and monitored for 168 h. Different light conditions and nighttime data were considered. …”
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Assessment of the stock status for greenland halibut (<i>Reinhardtius hippoglossoides matsuurae</i>) in the Okhotsk Sea by V. V. Kulik, I. I. Glebov, N. L. Aseeva, R. N. Novikov

“…State of the greenland halibut stock in the Sea of Okhotsk fishing zone is evaluated as overfished with a high probability of 97.5 % by the index of fishable biomass, and the overfishing continued in 2021. …”
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Study on the interaction characteristics between pot seedling and planter based on hanging cup transplanter by Hongbin Bai, Fandi Zeng, Qiang Su, Ji Cui, Xuying Li

“…The accuracy of the simulation model was validated using the substrate loss rate after planting as an evaluation metric. Furthermore, based on Artificial Neural Network technology and incorporating BP and GA-BP algorithms, a nonlinear model of the interaction between pot seedlings and the planting device under various parameter conditions was established using simulated field planting test results as the dataset. …”
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On the Use of Singular Vectors for the Flexibility-Based Damage Detection under the Assumption of Unknown Structural Masses by Said Quqa, Luca Landi, Pier Paolo Diotallevi

“…The modal parameters and the singular vectors necessary for the implementation of the damage detection procedure are evaluated through two different techniques: the Eigensystem Realization Algorithm and a wavelet-based procedure, for which a variant is proposed by introducing the energy reassignment concept into the original algorithm. …”
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Effect of Temperature on FDS Characteristics of Resin Impregnated Paper Bushing by Han ZHANG, Wei HU, Zuoming XU, Baoquan WAN, Pengbo YIN, Hangyin MAO

“…In order to study the influence of temperature on the frequency domain spectroscopy (FDS) characteristics of resin-impregnated paper (RIP) bushings, and more accurately apply the dielectric response technology to the evaluation of bushing damp or aging state, the FDS measurement experiments of RIP bushing insulation at different temperatures are designed in this paper. …”
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3D spectral CT-based fusion model predicts prognosis and postoperative adjuvant chemotherapy benefit in locally advanced rectal cancer by Shuxuan Fan, Jiaxin Liu, Xiaomeng Yang, Lisha Qi, Xiaomei Lu, Haiwei Liu, Xiaonan Cui

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Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms by Eike Petersen, Julia Sauer, Jan GraBhoff, Philipp Rostalski

“…Algorithmic performance is evaluated quantitatively based on four different measures of separation success, using both synthetic validation signals and electromyographic measurements of the respiratory muscles in eight subjects. …”
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Fuzzy Decision-Making Analysis of Quantitative Stock Selection in VR Industry Based on Random Forest Model by Jia-Ming Zhu, Yu-Gan Geng, Wen-Bo Li, Xia Li, Qi-Zhi He

“…Secondly, different from the single effective frontier algorithm, the research is based on the random forest algorithm, calculates the average AUC of the index, and continuously checks and tests the results to obtain the optimal investment portfolio. …”
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Application-oriented resource matching model based on trust for internet-based virtual computing environment by Chun-ge ZHU, Xin-ran LIU, Yi-xian YANG, Hong ZHANG

“…In order to solve the problem of reasonable resource s ing in the virtual computing environment (iVCE),a resource matching model,based on trust “resource sliding window” model,was proposed.Firstly,the resources were classified in advance by their static properties.Then the resource nodes were evaluated by a trust model based on the time window and Bayesian algorithm,and the evaluated results as well as the resource load were fused to determine the levels of the dynamic real-time performance.Finally,the scheduling resources were allocated according to the comprehensive assessment of the static and dynamic properties of the resource nodes.The proposed model provides a basis of scheduling strategy for different resources with different tasks and attributes,thus achieving the goal of “proper resources’ serving proper tasks”.Simulation results show that,compared the previous scheduling algorithm,the proposed model has better performance in the success rate of task execution and the rate of resource utilization.…”
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Identifying potential threats to economic security in a commercial organization by O. A. Ageeva, Yu. D. Matytsyna

“…The article reveals methods of identifying potential threats to economic security of commercial organization, primarily the algorithm of express diagnostics of its financial and economic activities. …”
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Robot Joint Vibration Suppression Method Based on Improved ADRC by Gang Wang, Shuhua Fang, Qiangren Xu

“…This article accurately evaluates the vibration suppression performance of the ADRC algorithm at different speeds of robots, effectively suppressing the vibration of robot joints.…”
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Game Theoretic Non‐cooperative Dynamic Target Tracking for Directional Sensing‐Enabled Unmanned Aerial Vehicles by Peng Yi, Ge Jin, Wenyuan Wang

“…Through simulation experiments, the effectiveness of the proposed algorithm in accomplishing multi‐agent dynamic target tracking tasks is demonstrated and the performance of the algorithm under varying parameters in the intruder's cost function is evaluated, which represent different intrusion intentions.…”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Compared to other optimization algorithms such as genetic algorithm (GA) and whale optimization algorithm (WOA), the BWO algorithm demonstrates significant per-formance, with faster running speed, stronger stability, and greater robustness. …”
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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…Currently, various pre-processing algorithms exist for slicing and compressing event streams. …”
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Mental health of university students twenty months after the beginning of the full-scale Russian-Ukrainian war by Marina Polyvianaia, Yulia Yachnik, Jörg M. Fegert, Emily Sitarski, Nataliia Stepanova, Irina Pinchuk

“…To develop the predictive model the XGBoost algorithm was employed, additionally, the SHAP algorithm was utilized. …”
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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…Focused on the mechanism of tokenization and embeddings design as the key components in BERT’s text processing, the research also evaluates the standard benchmarks used to train classification models and analyze complex cases, possible errors and improvement algorithms thus raising the classification models accuracy. …”
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Classification of Vaginal Cleanliness Grades through Surface‐Enhanced Raman Spectral Analysis via The Deep‐Learning Variational Autoencoder–Long Short‐Term Memory Model by Jia‐Wei Tang, Xin‐Ru Wen, Hui‐Min Chen, Jie Chen, Kun‐Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang

“…The performance of various machine learning (ML) algorithms is assessed using multiple evaluation metrics. …”
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Approaching fuzzy sliding mode strategy for automotive suspension based on the view of enhancing ride comfort and vehicle stability by Tuan Anh Nguyen

“…These mentioned criteria are guaranteed based on the design of membership functions and fuzzy rules, while the stability of the sliding mode framework is evaluated through the Lyapunov function. Simulations are performed in the MATLAB-Simulink interface, with four cases corresponding to different road types. …”
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