Fine-art recognition using convolutional transformers by Yu Liu, Haozhe Bai, Jingchao Wang

“…Digital image processing is a constantly evolving field encompassing a wide range of techniques and applications. Researchers worldwide are continually developing various algorithms across multiple fields to achieve accurate image classification. …”
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Enhancing mechanical and bioinspired materials through generative AI approaches by Silvia Badini, Stefano Regondi, Raffaele Pugliese

“…By harnessing generative algorithms and topology optimization, researchers can explore complex biological phenomena and translate them into innovative engineering solutions. …”
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A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning machine by Mustafa Ulas, Osman Altay, Turan Gurgenc, Cihan Özel

“…The use of machine learning algorithms for wear loss quantity predictions is a potentially effective means to eliminate the disadvantages of experimental methods such as cost, labor, and time. …”
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Distinguish the Value of the Benign Nevus and Melanomas Using Machine Learning: A Meta-Analysis and Systematic Review by Suli Li, Yihang Chu, Ying Wang, Yantong Wang, Shipeng Hu, Xiangye Wu, Xinwei Qi

“…This systematic review included thirty researches with 114007 subjects and 71 machine learning models. …”
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A Method for Public Transit OD Estimation Using Transit Smart Card Data by Akif Fidanoğlu, Ilgın Gökaşar

“…With the utilization of Intelligent Transportation Systems (ITS) in public transportation (PT), trip data of passengers are recorded continuously by transit agencies. Researchers developed various algorithms to infer the origin and destination (OD) points of the PT users by using their transit smart card data. …”
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Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“…Nowadays, recent smartphones, equipped with integrated inertial measurement units (IMUs) and embedded algorithms, can play a crucial role in such development. …”
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AI-Driven Wearable Bioelectronics in Digital Healthcare by Guangqi Huang, Xiaofeng Chen, Caizhi Liao

“…However, their widespread adoption faces technical, ethical, and regulatory hurdles, such as data interoperability, privacy concerns, algorithmic bias, and the need for robust clinical validation. …”
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Spectral Representation and Simulation of Fractional Brownian Motion by Konstantin Rybakov

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Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to pre-installed tools, new analysis algorithms can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. …”
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Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review by Arman Fathollahi

“…This work starts with a discussion of the smart grid’s dynamic structures and subsequently transitions into an overview of machine learning approaches that explore various algorithms and their applications to enhance smart grid operations. …”
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Mass Collection of Workers’ Data in Warehouse Facilities: Reflections on Privacy and Workforce Well-being by Thomas De Lombaert, Arpan Rijal, Robert Costrasal, Michele Molè

“…Warehouses with complex monitoring and algorithmic management policies are rapidly expanding across the EU. …”
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The Weight Distributions of a Class of Cyclic Codes with Three Nonzeros over 𝔽3 by Xiaogang Liu, Yuan Luo

“…Cyclic codes have efficient encoding and decoding algorithms. The decoding error probability and the undetected error probability are usually bounded by or given from the weight distributions of the codes. …”
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An Analysis on the Applicability of Meta-Heuristic Searching Techniques for Automated Test Data Generation in Automatic Programming Assessment by Musa et al.

“…Automatic Programming Assessment (APA) has been gaining lots of attention among researchers mainly to support automated grading and marking of students’ programming assignments or exercises systematically. …”
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An Efficient and Fast Model Reduced Kernel KNN for Human Activity Recognition by Zongying Liu, Shaoxi Li, Jiangling Hao, Jingfeng Hu, Mingyang Pan

“…With accumulation of data and development of artificial intelligence, human activity recognition attracts lots of attention from researchers. Many classic machine learning algorithms, such as artificial neural network, feed forward neural network, K-nearest neighbors, and support vector machine, achieve good performance for detecting human activity. …”
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Internal risk assessment of development and implementation of the state programs by A. I. Denisova

“…The software implementation of the algorithms for the formation and evaluation of the program plan was carried out in the form of software developed by the author in the Python.…”
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ECO-FRIENDLY MANAGEMENT OF POSTHARVEST DISEASES OF APPLE FRUITS: AN OVERVIEW by Lenuța CHIRA, Elena DELIAN, Liliana BĂDULESCU, Adrian CHIRA

“…Promising results were obtained regarding: (i) improving plants growing environmental conditions and pre harvest practices using fungicides and the application of complementary, environmentally friendly measures; (ii) exploring the epiphytic and endophytic flora with a view to some microorganisms exploitation as biological control agents; (iii) nanomaterials using and of plant extracts, as well as of some resistance chemical inducers; (iv) genetic engineering, omics-based approaches and machine learning algorithms. With a view to the successful implementation of the most appropriate innovative strategies for apples fruits diseases post-harvest management it is necessary to continue such studies through a close collaboration between researchers and practitioners.…”
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Comparison of Machine Learning Models for Sentiment Analysis of Big Turkish Web-Based Data by Cemile Gökçe Özmen, Selim Gündüz

“…The algorithms were evaluated with comparative analysis using accuracy, precision, recall, and f-1 score metrics. …”
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Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine by F. Khammar, N. E. Debbache

“…The results of the different simulation tests highlight the properties of robustness of algorithms proposed and suggested to compare the different control strategies.…”
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Using A One-Class SVM To Optimize Transit Detection by Jakob Roche

“…As machine learning algorithms become increasingly accessible, a growing number of organizations and researchers are using these technologies to automate the process of exoplanet detection. …”
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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

“…From a tilted weir, researchers have used these training techniques as a model for various neural networks. …”
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