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. …”
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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. …”
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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. …”
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Two-Stage Genetic Algorithm for Optimization Logistics Network for Groupage Delivery by Ivan P. Malashin, Vadim S. Tynchenko, Igor S. Masich, Denis A. Sukhanov, Daniel A. Ageev, Vladimir A. Nelyub, Andrei P. Gantimurov, Alexey S. Borodulin

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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. …”
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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.…”
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Two-Step Phase Retrieval Algorithm Using Single-Intensity Measurement by Cheng Zhang, Meiqin Wang, Qianwen Chen, Dong Wang, Sui Wei

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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

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

Subjects: “…Multi-Objective genetic algorithm…”
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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

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Visual System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms (VIAEVCA) by Hedva Spitzer, Yosef Shai Kashi, Morris Mosseri, Jacob Erel

“…Numerous efforts have been invested in previous algorithms to expose and enhance blood vessel (BV) visibility derived from clinical coronary angiography (CAG) procedures, such as noise reduction, segmentation, and background subtraction. …”
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University Media Content Detection and Classification Based on Information Fusion Algorithm by Shuntao Zhang, Qinglan Yu, Tianming Yang, Kai Peng

“…This essay mainly introduces the technology of university media content detection and classification based on information fusion algorithm and focuses on the application of university multimedia content detection, analysis, and understanding, to explore the image discrimination auxiliary attribute feature learning and content association prediction and classification. …”
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Personalization in Mobile Activity Recognition System Using -Medoids Clustering Algorithm by Quang Viet Vo, Minh Thang Hoang, Deokjai Choi

“…Therefore, we propose an algorithm that integrates Support Vector Machine classifier and K -medoids clustering method to resolve completely the demand.…”
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Embedded Image and Video Coding Algorithm Based on Adaptive Filtering Equation by Zhe Fu

“…Based on the improved adaptive filtering method, this paper conducts in-depth discussion and research on embedded graphics and video coding and chooses to improve the adaptive filtering algorithm from three aspects: starting point prediction, search template, and window partitioning. …”
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Collaborative Filtering Recommendation Algorithm for MOOC Resources Based on Deep Learning by Lili Wu

“…Finally, compared with the traditional model using the scoring matrix, the model in this article using text word vectors effectively alleviates the impact of data sparsity and greatly improves the accuracy of prediction. After analyzing the experimental results, compared with other algorithms, the resource collaborative filtering recommendation model proposed in this article has achieved better recommendation results, with good stability and scalability.…”
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Analysis and Research on Spectrogram-Based Emotional Speech Signal Augmentation Algorithm by Huawei Tao, Sixian Li, Xuemei Wang, Binkun Liu, Shuailong Zheng

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Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding by Pengyu Liu, Kebin Jia

“…A low-complexity saliency detection algorithm for perceptual video coding is proposed; low-level encoding information is adopted as the characteristics of visual perception analysis. …”
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Vehicle detection and recognition algorithm based on function improvement of YOLOv3 by SONG Huajie, ZHOU Lei

“…It is outstanding among similar algorithms, but there are still obvious problems. The loss operation of the wide and high part of the loss function of this algorithm is not obvious to the distinction between the big target and the small target, which leads to the problem that the loss calculation is not accurate enough and the prediction box size of the small target is not accurate. …”
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Non-contact ECG reconstruction algorithm based on millimeter wave radar by LUO Jingxue, ZHANG Yuanhui, DAI Xiao, FU Duo, LIU Kang

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Collaborative filtering recommendation algorithm based on rough set rule extraction by Yonggong REN, Yunpeng ZHANG, Zhipeng ZHANG

“…To address the problem that in a practical recommendation system (RS),because of the datasets are often very sparse,the traditional collaborative filtering (CF) approach cannot provide recommendations with higher quality,a novel CF based on rough set rule extraction was proposed.Firstly,the attributes of user/item and the user-item rating matrix were used to construct a decision table.Then,the core value of each rule in the table was extracted through using the decision table reduction algorithm.Finally,according to the nuclear value decision rule of the core value table,the reductions of all decision rules were utilized to predict the rating scores of un-rated items.Experimental results suggest that the proposed approach can alleviate the data sparsity problem of CF,and provide recommendations with higher accuracy.…”
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