AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

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Reading Dye-Based Colorimetric Inks: Achieving Color Consistency Using Color QR Codes by Ismael Benito-Altamirano, Laura Engel, Ferran Crugeira, Miriam Marchena, Jürgen Wöllenstein, Joan Daniel Prades, Cristian Fàbrega

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Brain tumor classification using deep convolutional neural networks by M. Nurtay, M. Kissina, A. Tau, A. Akhmetov, G. Alina, N. Mutovina

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Spatial patterning of chloroplasts and stomata in developing cacao leaves by Insuck Baek, Seunghyun Lim, Visna Weerarathne, Dongho Lee, Jacob Botkin, Silvas Kirubakaran, Sunchung Park, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Ahn

“…In tropical species like cacao, flush growth, a period of rapid leaf expansion, is particularly dependent on the optimized spatial patterns of chloroplasts and stomata. In this study, we investigated the patterns in cacao leaves during growth Stage C, a phase marked by rapid chlorophyll accumulation. …”
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Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis by Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis

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Pattern Recognition in Urban Maps Based on Graph Structures by Xiaomin Lu, Zhiyi Zhang, Haoran Song, Haowen Yan

“…Current pattern recognition methods for map groups primarily fall into two categories: machine learning-based approaches and traditional methods. …”
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Distribution patterns of N6-methyladenine in the rye genome by Anna Kalinka, Danuta Cembrowska-Lech, Marta Starczak, Daniel Gackowski

“…Abstract N6-methyladenine (6 mA) has emerged as a potential epigenetic marker in eukaryotic genomes, yet its precise distribution patterns and biological functions in plant genomes are still not fully understood. …”
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Application of smart technologies for predicting soil erosion patterns by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid, Shiva Gharibi, Jing-Cheng Han

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Prevalence and ultrasonographic patterns of gynecological emergencies in southeastern Nigeria by Emmanuel Odumeru, Xavier Akimuhana, Eric Kirezi, Costelia Njoku

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Ghost hunting in the nonlinear dynamic machine. by Jonathan E Butner, Ascher K Munion, Brian R W Baucom, Alexander Wong

“…These example findings suggest that integrating machine learning with dynamical systems modeling provides a viable means for classifying distinct temporal patterns, even when there is no governing equation for the nonlinear dynamics. …”
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Opportunities of machine learning algorithms for education by Olga Ovtšarenko

“…By predicting trends, identifying patterns, and optimizing resource allocation, machine learning can improve the efficiency of e-learning and provide students with tailored recommendations for acquiring relevant knowledge and skills. …”
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Behavioral patterns relating to thermal comfort and energy consumption by Iounnou Anastasios

“…A huge amount of data can be gathered and handled by a computer, compared to the situation before these machines were commonly available to scientists and households. …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Multi-class Support Vector Machines (SVM) classifier is employed to identify different classes of mammal sounds. …”
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Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models by Joseph Bingham, Saman Zonouz, Dvir Aran

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Impact of sudden public crises on spatial distribution patterns and driving factors of the urban catering industry: a case study of Shanghai’s catering POI data before and after CO... by DanDan Shao, KyungJin Zoh, Yanzhao Xie

“…This study uses Shanghai to explore the effects of the COVID-19 pandemic on the spatial distribution patterns and driving factors of the urban catering industry. …”
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With eyes of a machine: A three-step guide for applying machine learning to visual content analysis in social research by Anna Helene Kvist Møller, Massimo Airoldi

“…This paper presents a practical guide to machine learning–assisted visual content analysis for social scientists. …”
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Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3 by Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi

“…Abstract Accurately predicting the performance of Earth Pressure Balance Tunnel Boring Machines (EPB-TBMs) in soft ground conditions is crucial yet challenging due to the complex interaction of geological and operational factors. …”
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Machine Learning Approach for Arabic Handwritten Recognition by A. M. Mutawa, Mohammad Y. Allaho, Monirah Al-Hajeri

“…Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition. …”
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Benchmarking the optimization of optical machines with the planted solutions by Nikita Stroev, Natalia G. Berloff, Nir Davidson

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Ghost in the Machine: Daily Interaction with Ephemeral Computing by Sofia Pirandello

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