Multi-Domain Feature Analysis and Application Research of GPR Aliased Signals by Chuan Li, Yawei Wang, Qibing Ma, Xiaorong Wan

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Research and Analysis of Out-of-Tolerance Problem in Mold Processing Based on Intelligence by Juxian Wang

“…For the out-of-tolerance problem in mold processing, the cold stamping die for motorcycle fuel tank shell is taken as the research object to solve the problem of out-of-tolerance, that is, easy to occur in the process of mold forming. …”
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Research on mulberry leaf disease recognition method based on deep learning by Ye Hui, Xiang Donghui, Zeng Songwei

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Machine learning-supported manufacturing: a review and directions for future research by Baris Ördek, Yuri Borgianni, Eric Coatanea

“…The advantages, limitations, and research opportunities of ML support in manufacturing are discussed. …”
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Building Brand Platform for the Company in Horeca Sphere (Methodology, Research, Result) by I. V. Shchepetova

“…The article presents methodology of the Marketing story agency and the author, which includes the algorithm for building brand platform for the promising project of the company in the horeca sphere. …”
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Research on Multi-Objective Reactive Power Optimization of Distribution Grid with Photovoltaics by Lie Xia, Xiaojin Lin, Rongrong Zhou, Kanjian Zhang

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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

“… Nowadays the amount of gathered raw data emphasizes the importance of further data processing done by skilled engineers aided by computer algorithms. Researchers develop new algorithms for the automated determination of geometrical features, such as symmetry and main axes, skeleton lines, etc. …”
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CacheSim: A cache simulation framework for evaluating caching algorithms on resource-constrained edge devices by Jian Liu, Yuxin Chen, Hao Ding

“…Through this platform, we aim to stimulate innovation in caching algorithms, encouraging the development of techniques optimized for the unique challenges posed by edge devices.…”
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Using Cohen Sutherland Line Clipping Algorithm to Generate 3D Models from 2D by Marah Taha

“…Most of the previous researches used the idea of ​​drawing by vanishing point to generate 3D objects from 2D environment, But the algorithm designed in this paper provides an idea of ​​how to draw three-dimensional shapes from two-dimensional drawings when applying Cohen Sutherland Line clipping algorithm, so that a basic two-dimensional shape is inserted from a set of points connected with each other must be within vision borders with a vanishing point outside of vision that is connected with all points of basic shape to consist a group of lines with partial intersections. …”
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Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling by Hui Yang, Qiuming Liu

“…Combining theory with practice, this paper studies the process of 3D virtual scene construction, and on this basis, researches the optimization methods of 3D modeling. …”
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An Improved Robust Filtering Recursive Algorithm for Stochastic Uncertain Vehicle INS/OD Systems With Anomalous Measurements by Shuang Pan, Chao Wang, Chunlei Zhang, Linping Feng

“…The autonomous vehicular navigation technology has gained more and more attention of researchers. Odometer is the most commonly used auxiliary sensor for autonomous navigation in vehicles due to its stability and high accuracy. …”
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Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm by Xue Mei, Zhenhua Li, Songsong Xu, Xiaoyan Guo

“…The proposed algorithm includes two major phases, coarse and precise registration. …”
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Experiment of Image Recognition of Railway Vehicle Brake Shoe Based on Edge Moment Invariants Matching Algorithm by 高向东, 伍世全, 王腾

“…A new method for image recognition of train brake shoe based on edge moment invariants matching algorithm had been researched. The dynamic brake shoe images were taken by a vision sensor while the vehicle was moving. …”
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An efficient and high-performance WSNs restoration algorithm for fault nodes based on FT in data aggregation scheduling by Cheng Li, Guoyin Zhang

“…And our goal is to improve the universality, efficiency, and performance retention of the algorithm. Previously, we have conducted a range of the relevant researches on performance improvement of WSNs aggregation scheduling by adopting FT structure, and some successful results have been obtained. …”
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Genetic algorithm–optimized support vector machine for real-time activity recognition in health smart home by Yan Hu, Bingce Wang, Yuyan Sun, Jing An, Zhiliang Wang

“…However, most of the existing researches focus on offline activity recognition, but not good at online real-time activity recognition. …”
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On the Application of Noiseless Steganography and Elliptic Curves Cryptography Digital Signature Algorithm Methods in Securing Text Messages by Juhari Juhari, Mohamad Febry Andrean

“…So, for the next thesis, the next researcher can do a discussion about the elliptic curve on the finite field  or the application of elliptic curve cryptography and other steganographic methods…”
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Assessing the Effect of Data Augmentation on Occluded Frontal Faces Using DWT-PCA/SVD Recognition Algorithm by Louis Asiedu, Joseph Agyapong Mensah, Francis Ayiah-Mensah, Felix O. Mettle

“…Numerical evaluation of the study algorithm gave a perfect (100%) average recognition rate each for recognition of occluded and augmented face images. …”
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Quantum Algorithms’ Approach: A Case Study on Bladeless Wind Turbine and Solar Panel by Piyush Kumar Sinha, R. Marimuthu

“…The researched data shows that quantum algorithms have been mostly used for battery’s chemistry and conventional grid systems. …”
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Recent Advances in Early Earthquake Magnitude Estimation by Using Machine Learning Algorithms: A Systematic Review by Andrés Navarro-Rodríguez, Oscar Alberto Castro-Artola, Enrique Efrén García-Guerrero, Oscar Adrian Aguirre-Castro, Ulises Jesús Tamayo-Pérez, César Alberto López-Mercado, Everardo Inzunza-Gonzalez

“…The described methods and algorithms illustrate the strong performance of ML in earthquake magnitude estimation despite limited implementation in real-time systems. …”
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Machine Learning Algorithms to Defend Against Routing Attacks on the Internet of Things: A Systematic Literature Review by Lanka Chris Sejaphala, Vusimuzi Malele, Francis Lugayizi

“…Therefore, this paper systematically synthesised 17 publications to compare the performance of traditional and advanced machine learning algorithms to identify the best algorithm for detecting RPL-based IoT routing attacks. …”
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