Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…Based on those, an on-line soft sensor model of hot metal[Si] with the optimal parameters was obtained by using the multi-objective genetic algorithm (NSGA-Ⅱ) with the non-dominated sort and elitist strategy. …”
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…Hence, a novel hybrid model is provided, incorporating singular value decomposition (SVD) in conjunction with kernel-based ridge regression (SKRidge), multivariate variational mode decomposition (MVMD), and the light gradient boosting machine (LGBM) as a feature selection method, along with the Runge–Kutta optimization (RUN) algorithm for parameter optimization. …”
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Passenger Flow Prediction for Rail Transit Stations Based on an Improved SSA-LSTM Model by Xing Zhao, Chenxi Li, Xueting Zou, Xiwang Du, Ahmed Ismail

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An Identification Method of Polarization Modulation for Ship and Combined Corner Reflector Based on Civil Marine Radar by Di ZHU, Fulai WANG, Chen PANG, Yongzhen LI

“…The process involves calculating the average Pearson correlation coefficient between each polarization image and the range image, which serves as the correlation feature parameter. A support vector machine is then employed to achieve accurate target identification. …”
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The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy by Aviral Singh, Aviral Singh, Aviral Singh, Sebastian Sanduleanu, Harshad R. Kulkarni, Thomas Langbein, Philippe Lambin, Richard P. Baum

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Blasting vibration velocity prediction of open pit mines based on GRA-EPSO-SVM model by Pengfei ZHANG, Yong YUAN, Yunhua HE, Shaojun DAI, Jiazhen LI, Xuehai CHI, Wei LI, Xue SUN, Jiao ZHANG, Runcai BAI, Honglu FEI

“…In the scene of coal and rock interbedded blasting in open-pit mine, aiming at the problems that the existing prediction methods of blasting vibration peak value are difficult to achieve ideal prediction results, resulting in unreasonable design of blasting parameters and initiation network, a prediction model of blasting vibration peak value based on integrated particle swarm optimization support vector machine algorithm (GRA-EPSO-SVM) with grey correlation degree feature selection is proposed. …”
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Improving the Interpretability of ANN-Based Predictions of Lattice Constants in Aliovalently Doped Perovskites Using Partial Dependence Plots by Abdullah Alharthi, Abdulgafor Alfares, Yusuf Abubakar Sha’aban, Dahood Ademuyiwa Adegbite

“…Accurate prediction of key structural parameters is essential for tailoring these materials for advanced applications. …”
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Classification of Music Genres Based on Music Separation into Harmonic and Drum Components by Aldona ROSNER, Björn SCHULLER, Bożena KOSTEK

“…The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector Machine (SVM) classifier and co-training method adapted for the standard SVM are involved in genre classification. …”
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Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation by Gargi J Trivedi, Rajesh Sanghvi

“…Furthermore, we aim to enhance our approach by incorporating machine learning techniques to optimize the parameters of the image fusion algorithm. …”
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Structural design and analysis of high-static-low-dynamic stiffness torsional vibration isolator for ship shafting by Lintao LI, chao ZHANG, Zhirong YANG, Zhushi RAO, Wangqiang XIAO

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Exploring alternate coupling inputs of a data-driven model for optimum daily streamflow prediction in calibrated SWAT-BiLSTM rainfall-runoff modeling by Khalil Ahmad, Khalil Ahmad, Mudassar Iqbal, Muhammad Atiq Ur Rehman Tariq, Afed Ullah Khan, Abdullah Nadeem, Jinlei Chen, Kseniia Usanova, Kseniia Usanova, Hamad Almujibah, Hashem Alyami, Muhammad Abid

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Comprehensive improvement of energy efficiency and indoor environmental quality for university library atrium—A multi-objective fast optimization framework by Shen Xu, Yongzhong Chen, Jianlin Liu, Jian Kang, JinFeng Gao, Yuchen Qin, Wenjun Tan, Gaomei Li

“…The machine learning models predicted performance 400 times faster than traditional performance simulations. …”
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A novel computational method to predict hypoattenuated leaflet thickening post-transcatheter aortic valve replacement using preprocedural computed tomography scansCentral MessagePe... by Aniket Venkatesh, MS, Fateme Esmailie, PhD, Noah Tregobov, BSc, Hoda Hatoum, PhD, Breandan Yeats, PhD, Huang Chen, PhD, Beom Jun Lee, MS, Philipp Ruile, MD, Franz-Josef Neumann, MD, Philipp Blanke, MD, Jonathon Leipsic, MD, Gaurav Gulsin, MD, Vinod Thourani, MD, David Meier, MD, Lakshmi Prasad Dasi, PhD, Stephanie L. Sellers, PhD

“…Methods: The pipeline consisted of (1) pre-TAVR CT reconstruction and reduced order modeling simulations to automatically predict postprocedural geometric parameters, (2) a landmark-guided automated left ventricle segmentation method to predict hemodynamic parameters, and (3) statistical and ML analyses to develop HALT predictive metrics. …”
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Prediction method of TBM excavation axis deviation for small turning tunnels based on LSTM neural network by Lijie DU, Hongda HAO, Qingwei LI, Yalei YANG, Weidong ZHANG, Jiayi LIU, Hongchao FENG

“…The model is established by using MATLAB software, and takes the historical tunneling parameters generated during TBM tunneling as input data to predict the tunneling axis deviation of TBM in the future. …”
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EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

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Energy Assessment and Diagnosis of Variable Refrigerant Flow System Based on SVR-OCSVM Model by Liu Jiahui, Liu Jiangyan, Chen Huanxin, Huang Ronggeng, Li Zhengfei

“…Normal factors such as complex control strategies, flexible meteorological parameters, and operation conditions or abnormal factors such as refrigerant charge faults in variable refrigerant flow (VRF) systems can lead to complex and varying fluctuations in the energy consumption. …”
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Design of Rectangular Compensation Mechanism based on the Cross Double-slider Model by Shu Zhiwei, Chen Xinyuan, Zhan Xiaohui, Deng Jianghong

“…The cross double-slider model is put forward to solve the defect of that continuous casting mold material area is rectangular,while the ordinary double pendulum rod type automatic mold flux feeder machine material area is sector,there is a blind zone of feeding. …”
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Statement of the Problem of Determining the Technical Appearance and Design Characteristics of Multi-Apartment Residential Buildings Based on the Expert Systems Method by Alexander A. Merkulov, Yury N. Razoumny, Olga A. Saltykova, Ivan V. Stepanyan

“…The advantages and disadvantages of machine learning methods and various types of logical inference in expert systems for determining the technical appearance and design characteristics of multiapartment residential buildings are analyzed. …”
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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The golden jackal optimization (GJO) algorithm is employed to optimize the key parameters of the VMD, enabling effective signal decomposition. …”
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Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM by WU Xiaojun, LI Quwei

“…An improved northern goshawk optimization (INGO) algorithm was proposed to address the local optimization problem that swarm intelligence algorithms often encounter when optimizing support vector machine (SVM) models, and it was applied to fault diagnosis of rolling bearings. …”
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