An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM by Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu

“…Case studies demonstrate that the proposed algorithm outperforms other power load forecasting methods in prediction accuracy.…”
Get full text

Complexity reduction method for High Efficiency Video Coding encoding based on scene-change detection and image texture information by Hong-rae Lee, Eun-bin Ahn, A-young Kim, Kwang-deok Seo

“…The reference pictures are typically signaled in two independent lists according to the display order, to be used for forward and backward prediction. If an event occurs in the input video, such as a scene change, the inter prediction performs unnecessary computations. …”
Get full text

A lightweight detection algorithm of PCB surface defects based on YOLO. by Shiwei Yu, Feng Pan, Xiaoqiang Zhang, Linhua Zhou, Liang Zhang, Jikui Wang

“…The results indicated that when comparing our model with the original model, there was a 47.2% reduction in the model's parameter count, a 48.5% reduction in GFLOPs, a 42.4% reduction in Weight, a 2.0% reduction in FPS, and a 2.4% rise in mAP. …”
Get full text

Active noise control of refrigerator based on cascaded notch feedback algorithm by Chaoping Gui

“…The experimental test platform is set up to carry out the actual refrigerator noise reduction experiments under different conditions. The algorithm has the effect of noise reduction under different robust algorithms.…”
Get full text

Inversion algorithm of black carbon mixing state based on machine learning by Z. Tian, Z. Tian, J. Wang, J. Wang, J. Wang, J. Wang, C. Liu, C. Liu, J. Xing, J. Wang, J. Wang, Z. Zhang, Z. Zhang, Y. Jin, Y. Jin, S. Shen, S. Shen, B. Wang, B. Wang, W. Nie, W. Nie, X. Huang, X. Huang, A. Ding, A. Ding

Get full text

Kinematics Analysis of Grasping Manipulator based on ART-RBF Learning Algorithm by Kai Wang, XiaoJin Wan

“…The results show that the soft competition algorithm can improve the prediction accuracy to a certain extent. …”
Get full text

Research and application of adaptive algorithm for 5G voice quality evaluation by Yuxiang ZHAO, Yaxin JI, Li YU, Tianyi ZHOU, Hang ZHOU

“…MOS (mean opinion score) is usually used to evaluate voice quality in the industry.It can objectively and fairly reflect the user’s voice service perception.It is difficult and costly to obtain data by road test, so a trained supervised learning model is usually used to predict the MOS score.However, the operator voice data has the characteristics of low percentage of MOS low score data and time sequence change, which affects the accuracy and generalization of the model prediction.Based on the study of existing data acquisition systems and machine learning algorithms of operators, an adaptive algorithm for MOS evaluation of 5G speech quality was proposed.Firstly, POLQA algorithm test equipment based on full parameter evaluation obtained training data to ensure the accuracy of training samples.Secondly, by means of data enhancement, the difficulty of acquiring poor quality samples was solved.Finally, based on the adaptive algorithm selection, the optimal MOS prediction model could be selected periodically and dynamically according to the timing changes of data features, so as to achieve large-scale and intelligent evaluation of 5G voice quality.…”
Get full text

Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…Linear discriminant analysis (LDA) is a supervised learning dimensionality reduction technique that has been widely used in data preprocessing for dimensionality reduction and video image processing tasks. …”
Get full text

Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…In addition to performance fluctuations with varying regression algorithms, the output for feature extraction method also played a vital role in ultimate prediction performance.…”
Get full text

The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases by Noam Auslander, Daniel M Ramos, Ivette Zelaya, Hiren Karathia, Thomas O. Crawford, Alejandro A Schäffer, Charlotte J Sumner, Eytan Ruppin

Get full text

Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

Get full text

Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

“…Actual application results in a coal mine demonstrated that the AROA-based algorithm reduced the fan airflow by 11.2%, while the fan air pressure decreased by 10.1%, ultimately achieving a 20.7% reduction in power consumption. …”
Get full text

Optimization of stamping workshop line layout based on improved PSO algorithm by Yaxuan Bi, Xin Ning, Shuai Zhao

“…Additionally, the enhanced algorithm outperformed traditional PSO in terms of convergence speed and solution quality. …”
Get full text

DATA DRIVEN RULE-BASED PEAK SHAVING ALGORITHM FOR SCHEDULING REFRIGERATORS by Daniel KWEGYIR, Francis Effah BOAFO, Daniel OPOKU, Emmanuel Asuming FRIMPONG

“…In the real-time mode, the algorithm dynamically adjusts refrigerator operations based on real-time mismatch calculations between predicted demand and generation. …”
Get full text

Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…By exploring different representations and objective functions, including classification accuracy, hidden neuron ratio, minimum redundancy, and maximum relevance for feature selection, eight algorithmic variants were developed, with six variants performing both hidden layers reduction and feature-selection tasks. …”
Get full text

Binocular stereo vision-based relative positioning algorithm for drone swarm by Qing Cheng, Yazhe Wang

“…This model achieves a 65.5% reduction in parameter count, a 62.7% reduction in FLOPs, and a 1.8% increase in accuracy compared to the original detection model. …”
Get full text

Multi-scale Logo detection algorithm based on convolutional neural network by Yuchao JIANG, Lixin JI, Chao GAO, Shaomei LI

“…Aiming at the requirements for multi-scale Logo detection in natural scene images,a multi-scale Logo detection algorithm based on convolutional neural network was proposed.The algorithm was based on the realization of two-stage object detection.By constructing feature pyramids and adopting layer-by-layer prediction,multi-scale region proposals were generated.The multi-layer feature maps in convolutional neural networks were fused to enhance the feature representation.The experimental results on the FlickrLogos-32 dataset show that compared with the baseline,the proposed algorithm can improve the recall rate of region proposals,and can improve the performance of small Logo detection while ensuring the accuracy of large and middle Logo,proving the superiority of the proposed algorithm.…”
Get full text

Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

Subjects: Get full text

Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

Subjects: “…Multi-Objective genetic algorithm…”
Get full text

The Principle of Intelligent Switch Composition and Algorithm of the Built-In Electronic Voltage Transformer by Xinhui Cao, Yuting Dong, Zhongzheng Li, Juan Li, Gang Liang, Honglian Zhou

Get full text