Analysis of the Influence of Multimedia Information Fusion on the Psychological Emotion of Financial Investment Customers under the Background of e-Commerce by Tehong Zhu

“…The results of the experiment are as follows: (1) the background of the current e-commerce development, the principle of multimedia information fusion, and the problems existing in the emotional impact of financial investment customers are analyzed, the research direction of the experiment is determined, and the target problem is analyzed according to the information fusion technology, which provides technical support for the research of this paper. (2) Among the existing multimedia information fusion design algorithms, Mgr fusion algorithm, advanced MCR fusion algorithm, multimodal fusion reordering algorithm, and trust function algorithm are introduced to compress and analyze the complex multimedia data information in different fields, which not only shortens the time required for a large amount of data information fusion. …”
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Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations by Ayodele Abiola Periola, Olabisi Emmanuel Falowo

“…OCS enables the underutilised HPC to be used to train learning algorithms of a cognitive base station. The performances of the three mechanisms are evaluated. …”
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Integrated Scheduling of Reheating Furnace and Hot Rolling Based on Improved Multiobjective Differential Evolution by Kun Li, Huixin Tian

“…Further results illustrate that the proposed MODE algorithm is effective and superior to some other multiobjective evolutionary algorithms.…”
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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…The results show that the RF algorithm is an excellent predictor and practically used for engineers to reduce experimental cost.…”
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Visual Identity-Based Earthquake Ground Displacement Testing Method by Chen Su, Zhao Sicheng, Dai Zhijun, Li Xiaojun, Zhou Yue

“…The visual data streams can be quantified to the dynamic relative displacement value automatically, by employing mathematical vision algorithms and then by taking the relative displacement as an intermediate quantity, which is brought into the numerical model for iteration. …”
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Unobtrusive Behavioral and Activity-Related Multimodal Biometrics: The ACTIBIO Authentication Concept by A. Drosou, D. Ioannidis, K. Moustakas, D. Tzovaras

“…Several shortcomings of existing biometric recognition systems are addressed within this project, which have helped in improving existing sensors, in developing new algorithms, and in designing applications, towards creating new, unobtrusive, biometric authentication procedures in security-sensitive, Ambient Intelligence environments. …”
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Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors by Hong Zhao, Fan Min, William Zhu

“…Experimental results show the efficiency of the pruning techniques for the backtracking algorithm and the effectiveness of the heuristic algorithm. …”
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Advancing buffet onset prediction: a deep learning approach with enhanced interpretability for aerodynamic engineering by Jing Wang, Wei Liu, Hairun Xie, Miao Zhang

“…After that, employing explainable machine learning techniques, including Gradient-weighted Class Activation Mapping (Grad-CAM), random forest algorithms, and statistical analysis, the research investigates the correlations between supervised CNN features and key physical characteristics related with the separation region, shock wave, leading edge suction peak, and post-shock loading. …”
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A General System for Automatic Biomedical Image Segmentation Using Intensity Neighborhoods by Cheng Chen, John A. Ozolek, Wei Wang, Gustavo K. Rohde

“…We show that the performance of our approach in tissue segmentation tasks in magnetic resonance and histopathology microscopy images, as well as nuclei segmentation from fluorescence microscopy images, is similar to or better than several algorithms specifically designed for each of these applications.…”
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Confocal Endomicroscopy of Colorectal Polyps by Vivian M. Ussui, Michael B. Wallace

“…CLE has the potential to be a disruptive technology in that it can change the current algorithms that depend on biopsy to perform surveillance of high-risk conditions. …”
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Simulating Smoke Filling in Big Halls by Computational Fluid Dynamics by W. K. Chow, C. L. Chow, S. S. Li

“…Mathematical aspects concerning of discretization of partial differential equations and algorithms for solving the velocity-pressure linked equations are briefly outlined. …”
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Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia by Caitlin A. Finney, David A. Brown, Artur Shvetcov

“…Tree-based machine learning algorithms and artificial neural networks were used. …”
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Headway Optimisation for Metro Lines Based on Timetable Simulation and Simulated Annealing by Yong Cui, Qing Yu, Chenyang Wang

“…Several different optimisation algorithms, including grid search, Monte Carlo, and simulated annealing, are developed and compared. …”
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Sidelobe Suppression with Null Steering by Independent Weight Control by Zafar-Ullah Khan, Aqdas Naveed Malik, Fawad Zaman, Syed Azmat Hussain, Abdul-Rehman Khan

“…In situations where less than n-1 nulls are required to be steered, the existing algorithms have no criterion to utilize the remaining weights for sidelobe suppression. …”
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Lifecycle-Based Swarm Optimization Method for Numerical Optimization by Hai Shen, Yunlong Zhu, Xiaodan Liang

“…Bioinspired optimization algorithms have been widely used to solve various scientific and engineering problems. …”
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The Performance of LBP and NSVC Combination Applied to Face Classification by Mohammed Ngadi, Aouatif Amine, Bouchra Nassih, Hanaa Hachimi, Adnane El-Attar

“…These works are interested since their beginning in extracting the invariant features of the face to build a single model easily identifiable by classification algorithms. Our goal in this article is to develop more efficient practical methods for face detection. …”
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Utilizing MV-FLOW™ and multidimensional ultrasound characteristics for prognosticating FET outcomes in RIF patients: Study Protocol for a cross-sectional study. by Ying Zhou, Li-Ying Liu, Hua-Ju Yang, Yuan-Yuan Lai, Di Gan, Jie Yang

“…Based on the above, this study aims to establish and validate a clinical prediction model for FET outcomes using support vector classification (SVC) algorithms, based on MV-FLOW™ and multidimensional transvaginal ultrasound imaging features. …”
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Fault Modeling and Testing for Analog Circuits in Complex Space Based on Supply Current and Output Voltage by Hongzhi Hu, Shulin Tian, Qing Guo

“…This model is a family of circle loci on the complex plane, and it simplifies greatly the algorithms for test point selection and potential fault simulations, which are primary difficulties in fault diagnosis of analog circuits. …”
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Classification and Localization of Mixed Sources after Blind Calibration of Unknown Mutual Coupling by Kai Wang, Ling Wang, Jian Xie, Yuexian Wang

“…In order to deal with the problem of passive mixed source localization under unknown mutual coupling, the authors propose an effective algorithm. This algorithm provides array blind calibration as well as classification and localization of mixed sources in this paper. …”
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A computational approach for prediction of viscosity of chemical compounds based on molecular structures by Sneha Das, Ram Kishore Roy, Tulshi Bezboruah

“…The results suggest that Catboost algorithm (R2 = 0.94 and MSE = 0.64) performs better than Gradient Boosting (R2 = 0.90 and MSE = 1.05) and Random Forest algorithm (R2 = 0.86 and MSE = 1.39), while measuring the viscosity. …”
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