Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…This study focuses on art education, aiming to address the lack of personalization in traditional teaching methods by proposing innovative solutions using multimodal deep learning technology. The research constructs a Multimodal Feature Fusion Network (MFFN) and an Evolutionary Path Generation Algorithm (EPG), utilizing Kinect sensors, digital tablets, and other devices to collect multi-modal data including visual, tactile, behavioral, and environmental information, establishing a large-scale art learning dataset. …”
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Solution for Solving Dynamic Partial Differential Equation Model of Natural Gas Pipeline Network Based on Discretization and Linearization by Peiyao ZHAO, Zhengshuo LI

“…Initially, it uses the finite volume method (FVM) and the finite difference method (FDM) to derive the discretized and linearized gas pipeline PDEs with high precision. Then, this research introduces a fast solution scheme based on the SIMPLE algorithm to address the complex problem of calculating large-scale discretized equations. …”
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An advanced CNN-attention model with IFTTA optimization for prediction air consumption of relay nozzles by Shen Min, Shao Ning, Cao Yongbo, Xiong Xiaoshuang, Yang Xuezheng, Wang Zhen, Yu Lianqing

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Noise Reduction of Steam Trap Based on SSA-VMD Improved Wavelet Threshold Function by Shuxun Li, Qian Zhao, Jinwei Liu, Xuedong Zhang, Jianjun Hou

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Current development and future prospects of multi-target assignment problem: A bibliometric analysis review by Shuangxi Liu, Zehuai Lin, Wei Huang, Binbin Yan

“…Subsequently, existing solution algorithms for the MTA problem are reviewed, generally falling into three categories: exact algorithms, heuristic algorithms, and machine learning algorithms. …”
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Developing New Software for Functional Food Production by Elena Yu. Titorenko, Natalia B. Trofimova, Evgenia O. Ermolaeva, Ivan E. Trofimov, Leonid I. Breskin, Igor V. Surkov, Natalia V. Astakhova

“…Statistical methods of data processing and IT technologies make it possible to introduce new modern methods of hazard and risk analysis in food industry. The research objective was to develop new software that would link together various risk-related production data. …”
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Improved aquila optimizer for swarm-based solutions to complex engineering problems by Himanshu Sharma, Krishan Arora, Raghav Mahajan, Syed Immamul Ansarullah, Farhan Amin, Hussain AlSalman

“…Convergence curves compare the speed of proposed algorithms with selected algorithms for 1000 iterations. …”
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Optimized Video Watermarking With Entropy-Aware Block Selection and Modified Hénon-Map Encryption by Ranjan K. Senapati, Birendra Biswal, Sandeep Kautish, Gandharba Swain, Ayman Altameem, Abdulaziz S. Almazyad, Ali Wagdy Mohamed

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CMHT autonomous dataset: A multi-sensor dataset including radar and IR for autonomous drivingMacDrive by McMaster UniversityFederated Research Data Repository by Howard Zhang, Ash Liu, Saied Habibi, Martin v. Mohrenschildt, Ryan Ahmed

“…Standardized datasets are essential for the development and evaluation of autonomous driving algorithms. As the types of sensors available to researchers increase, datasets containing a variety of temporally and spatially aligned sensors have become increasingly valuable. …”
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APPLICATION OF COMPUTER TECHNOLOGIES IN TEACHING OF MEDICAL STUDENTS by O. V. Vorobeichikova

“…he purpose of the given research are situational tasks from the point of view of algorithms of their decision and application of computer technologies for realization of similar algorithms. …”
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Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients by Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar

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A modulus-based modified multivariate spectral gradient projection method for solving the horizontal linear complementarity problem by Ting Lin, Hong Zhang, Chaofan Xie

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Design and simulation of reduced switch converter based solar PV and energy storage fed shunt active power filter with butterfly optimization by Koganti Srilakshmi, Sravanthy Gaddameedhi, Alapati Ramadevi, Praveen Kumar Balachandran, J. Ganesh Prasad Reddy, Ramprasad Vangalapudi

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Time Series Forecasting Method Based on Multi-Scale Feature Fusion and Autoformer by Xiangkai Ma, Huaxiong Zhang

“…Combined with the TPE Bayesian optimization algorithm, the prediction error was further reduced, providing a reference for future research on time series forecasting methods.…”
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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…To address this, we applied the Firefly Optimization Algorithm to fine-tune the hyperparameters of both the graph-based model and a CNN baseline for comparison. …”
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Online English teaching resource recommendation method design based on LightGCNCSCM by Jing Tang

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A Review of Inertial Navigation Technologies for Remotely Operated Vehicles by LAI Yu, ZHU Jun

“…The focus of future developments in the inertial navigation technology for ROVs is an area of considerable interest and research. From the perspectives of combination methodologies and algorithms, this paper scrutinizes the prevailing tactics for combining and correcting underwater inertial navigation. …”
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Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek, Lukas Prokop

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Optimal Operation of Multi-Source Power Generation System with Electric Heater and Concentrating Solar Power Plant Considering Conditional Risk Cost by Chunhua PENG, Yi LIU, Huijuan SUN

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Multi-Condition Rolling Bearing Fault Denoising Method and Application Based on RIME-VMD by Xin Zhao, Xuebin Liu, Hanshan Li

“…The experimental results show that the RIME-VMD method can effectively remove most of the noise in the rolling bearing fault signal, and the performance evaluation indexes of this method are better than other existing optimization algorithms. The research achievement of this study can provide effective data support for the fault diagnosis of bearing equipment.…”
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