Measurement of contact pattern displacement of hypoid gears with optical thermal camera by Stefan GERDHENRICHS, Manuel OEHLER, Daniel BUSCHMANN, Robert Heinrich SCHMITT, Oliver KOCH

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Infiltrative tumour growth pattern correlates with poor outcome in oesophageal cancer by Pieter Demetter, Francesco Sclafani, Maelle Anciaux, Roland De Wind, Maria Gomez Galdon, Sylvie Vande Velde, Gaspard Lens, Ligia Craciun, Amélie Deleruelle, Denis Larsimont, Tom Lenaerts, Amélie Deleporte, Vincent Donckier, Alain Hendlisz, Caroline Vandeputte

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Forecasting household monthly electricity consumption using the similar pattern algorithm by Bistoon Hosseini

“… This article discusses forecasting the monthly electricity consumption time series of household subscribers using the similar pattern algorithm, which uses each subscriber’s unique consumption pattern. …”
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Improved contact predictions using the recognition of protein like contact patterns. by Marcin J Skwark, Daniele Raimondi, Mirco Michel, Arne Elofsson

“…In addition to being superior to earlier methods based on statistical inferences, in comparison to state of the art methods using machine learning, PconsC2 is superior for families with more than 100 effective sequence homologs. …”
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Vegetation structure and phenology primarily shape the spatiotemporal pattern of ecosystem respiration by Cenliang Zhao, Wenquan Zhu

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Recognition of Suspension Liquid Based on Speckle Patterns Using Deep Learning by Jinhua Yan, Ming Jin, Zhousu Xu, Lei Chen, Ziheng Zhu, Hang Zhang

“…We presented a machine learning-based method to recognize suspension by distinguishing dispersoid-dependent speckle patterns using a convolutional neural network. …”
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Antimicrobial resistance in diverse urban microbiomes: uncovering patterns and predictive markers by Rodolfo Brizola Toscan, Wojciech Lesiński, Piotr Stomma, Balakrishnan Subramanian, Paweł P. Łabaj, Witold R. Rudnicki, Witold R. Rudnicki

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Arginine methylation patterns in LUAD: defining prognostic subtypes and relevance to immunotherapy by Qianyun Shen, Yijie Yang, Maoying Guan, Hegen Li

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Behavioural user segmentation of app users based on functionality interaction patterns by Li-Yoong Ooi, Choo-Yee Ting, Helmi Zakariah, Eashvaren Chandar

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Global and regional patterns of soil metal(loid) mobility and associated risks by Chongchong Qi, Tao Hu, Yi Zheng, Mengting Wu, Fiona H. M. Tang, Min Liu, Bintian Zhang, Sybil Derrible, Qiusong Chen, Gongren Hu, Liyuan Chai, Zhang Lin

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Weighted Content Similarity Feature for Software Architecture Anti-Patterns Prediction by Somayeh Kalhor, Mohammad Reza Keyvanpour

“…Anti-patterns can occur in various software, including web applications, and their prediction can effectively help prevent their occurrence. …”
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Noise-Robust Local Ternary Pattern Center for Noisy Texture Classification by Farhan A. Alenizi, Mokhtar Mohammadi, Mohammad Hossein Shakoor

“…Local Binary Pattern (LBP) has been widely used for texture analysis in machine vision and image processing. …”
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L’âme des machines dans The Ghost in the Shell by Bounthavy Suvilay

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Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

“…<b>Background:</b> Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval. …”
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Machine learning for experimental design of ultrafast electron diffraction by Mohammad Shaaban, Sami El-Borgi, Aravind Krishnamoorthy

“…We demonstrate that machine learning methods based on Convolutional Neural Networks trained on synthetic and experimental diffraction patterns can perform real-time analysis of diffraction data to resolve dynamical processes in a representative material, $${\textrm{MoTe}_{2}}$$ , and identify signs of material damage. …”
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Improvement of signal detection based on using machine learning by Bassam Abd

“…The proposed system depends on the support vector machine (SVM). The SVM is one of the most popular learning algorithms in different fields, such as signal processing, image processing, communication, and pattern recognition. …”
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Machine Learning Algorithms Performance Evaluation for Intrusion Detection by Shyla ., Kapil Kumar, Vishal Bhatnagar

“…The detection of Intrusion is the major research problem faced in the area of information security, the objective is to scrutinize threats or intrusions to secure information in the network Intrusion detection system (IDS) is one of the key to conquer against unfamiliar intrusions where intruders continuously modify their pattern and methodologies. In this paper authors introduces Intrusion detection system (IDS) framework that is deployed over KDD Cup99 dataset by using machine learning algorithms as Support Vector Machine (SVM), Naïve Bayes and Random Forest for the purpose of improving the precision, accuracy and recall value to compute the best suited algorithm.…”
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Semantic Classification of Car Styling Using Machine Learning by Hung-Hsiang Wang, Yen-Ting Lu

“…The classification model trained with the Binary Pattern Pyramid Filter and the Random Forest classifier achieved an accuracy of 84.6%. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Some areas of applications of ML algorithms include cluster analysis, pattern recognition, image processing, natural language processing, and medical diagnostics. …”
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Intelligent Technologies and Robotic Machines for Garden Crops Cultivation by I. G. Smirnov, D. O. Khort, A. I. Kutyrev

“…In particular, the following methods were applied: systems analysis, artificial neural networks theory, pattern recognition, digital signal processing. The development of software, hardware and software was carried out in accordance with the requirements of GOST technical standards. …”
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