Technology for geostructural forecasting of gold ore occurrences using the example of a section of the Verkhoyansk-Kolyma fold system (Bayag ore field, Yakutia) by Igor B. Movchan, Alexandra A. Yakovleva, Zilya I. Sadykova, Daria K. Medinskaia, Dmitry A. Goglev

“…Reduced to justifying the applicability of the method, tested by the authors, for extrapolation of quasi-periodic reference sample within the experimental area, based on pattern recognition with training and subsequent verification by geochemical estimation. …”
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A comprehensive research on light field imaging: Theory and application by Fei Liu, Yunlong Wang, Qing Yang, Shubo Zhou, Kunbo Zhang

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Sparse Deep Nonnegative Matrix Factorization by Zhenxing Guo, Shihua Zhang

“…Nonnegative Matrix Factorization (NMF) is a powerful technique to perform dimension reduction and pattern recognition through single-layer data representation learning. …”
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Long Short-Term Memory Projection Recurrent Neural Network Architectures for Piano’s Continuous Note Recognition by YuKang Jia, Zhicheng Wu, Yanyan Xu, Dengfeng Ke, Kaile Su

“…As LSTM and LSTMP have performed well in pattern recognition, in this paper, we combine them with Connectionist Temporal Classification (CTC) to study piano’s continuous note recognition for robotics. …”
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Potential Locations of Strong Earthquakes in Bulgaria and the Neighbouring Regions by Alexander I. Gorshkov, Olga V. Novikova, Sonya Y. Dimitrova, Lyuba D. Dimova, Reneta B. Raykova

“…This study presents the application of a phenomenological approach based on pattern recognition to determine the possible locations of strong earthquakes in the Bulgarian region. …”
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Intelligent electronic tongue system for the classification of genuine and false honeys by Jersson X. Leon-Medina, Diana Acosta-Opayome, Carlos Alberto Fuenmayor, Carlos Mario Zuluaga-Domínguez, Maribel Anaya, Diego A Tibaduiza

“…As a reliable strategy for honey authenticity determination, this work introduces an intelligent classification system that considers the pattern recognition point of view to develop an economical and quick analytical method to identify and differentiate genuine from adulterated honey. …”
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Dynamic Warping Network for Semantic Video Segmentation by Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu

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Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model by Gabriel A. A. Monteiro, Bruno A. A. Monteiro, Jefersson A. dos Santos, Alexander Wittemann

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Enhancing Industrial Valve Diagnostics: Comparison of Two Preprocessing Methods on the Performance of a Stiction Detection Method Using an Artificial Neural Network by Bhagya Rajesh Navada, Vemulapalli Sravani, Santhosh Krishnan Venkata

“…This paper proposes the comparison of two preprocessing methods for detecting stiction in control valves via pattern recognition via an artificial neural network (ANN). …”
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Recognition Algorithm of Acoustic Emission Signals Based on Conditional Random Field Model in Storage Tank Floor Inspection Using Inner Detector by Yibo Li, Yuxiang Zhang, Huiyu Zhu, Rongxin Yan, Yuanyuan Liu, Liying Sun, Zhoumo Zeng

“…To solve this problem, a novel AE inner detector, which works inside the storage tank, is adopted and a pattern recognition algorithm based on CRF (Conditional Random Field) model is presented. …”
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Medicine-engineering interdisciplinary researches for addiction: Opportunities and challenges by Xinwen Wen, Zhe Du, Zhen Wang, Yu Xu, Kunhua Wang, Dahua Yu, Jun Liu, Kai Yuan

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Enhancing Liquid State Machine Classification Through Reservoir Separability Optimization Using Swarm Intelligence and Multitask Learning by Oscar I. Alvarez-Canchila, Andres Espinal, Marco A. Sotelo-Figueroa, Jorge A. Soria-Alcaraz, Horacio Rostro-Gonzalez

“…On average, the experiments show that our approach outperforms baseline methods across all four artificial datasets when using PSO and achieves superior results on three pattern recognition datasets when employing OMOPSO.…”
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A deep learning approach to real-time Markov modeling of ion channel gating by Efthymios Oikonomou, Yannick Juli, Rajkumar Reddy Kolan, Linda Kern, Thomas Gruber, Christian Alzheimer, Patrick Krauss, Andreas Maier, Tobias Huth

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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…A distinguishing feature of this study is the application of a Convolutional Neural Network (CNN), which significantly outperforms traditional machine learning models in image-based pattern recognition by extracting contextual information from surrounding areas, a distinct advantage in image and pattern recognition tasks. …”
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Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model by Amal Alshardan, Nazir Ahmad, Achraf Ben Miled, Asma Alshuhail, Yazeed Alzahrani, Ahmed Mahmud

“…Abstract Image processing and pattern recognition methods have recently been extensively implemented in histopathological images (HIs). …”
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Face Boundary Formulation for Harmonic Models: Face Image Resembling by Hung-Tsai Huang, Zi-Cai Li, Yimin Wei, Ching Yee Suen

“…The boundary and numerical techniques of face images in this paper can be used not only for pattern recognition but also for face morphing, morphing attack detection (MAD), and computer animation as Sora to greatly enhance further developments in AI.…”
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Point Pattern Matching Algorithm for Planar Point Sets under Euclidean Transform by Xiaoyun Wang, Xianquan Zhang

“…Point pattern matching is an important topic of computer vision and pattern recognition. In this paper, we propose a point pattern matching algorithm for two planar point sets under Euclidean transform. …”
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A survey on evolutionary ensemble learning algorithm by Yi HU, Boyang QU, Jing LIANG, Jie WANG, Yanli WANG

“…Evolutionary ensemble learning integrates advantages of ensemble learning and evolutionary algorithm and is widely used in machine learning, data mining, and pattern recognition.Firstly, the theoretical basis, formation, and taxonomy are introduced.Secondly, according to the optimization task of evolutionary algorithm in ensemble learning, some representative researches on evolutionary ensemble learning field were analysed from the aspects of instance selection, feature selection, parameter optimization, structure optimization, and fusion strategy optimization, and the characteristics of different evolutionary ensemble learning methods were summarized.Finally, the pros and cons of the current researches on evolutionary ensemble learning were analysed, and research directions in the future work were given.…”
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Research of the Fault Feature Extraction of Rolling Bearing based on Image Processing by Zhang Qiantu, Fang Liqing

“…The feature extraction is crucial for fault diagnosis,although the existing feature extraction methods in time domain,frequency domain and time-frequency domain are effective,it is also necessary to find new methods in other domain.On the basis of the characteristic of snow images generated by analyzing SDP（Symmetrized Dot Pattern）method,a feature extraction method based on image processing are put forward.Firstly,the original vibration signals are transformed into snow images in polar coordinate by SDP method.Then,the shape features of the snow images in different fault pattern of rolling bearing are extracted by using image processing technology,and the characteristic parameters are analyzed.Finally,BP network are created to realize fault pattern recognition.The experimental results show that this method is effective.…”
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Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function by Yazdan Jamshidi Khezeli, Hossein Nezamabadi-pour

“…The effectiveness of the modified FLR is demonstrated by examples on several well-known pattern recognition benchmarks.…”
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