Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification by V. Hnatushenko, V. Hnatushenko, V. Hnatushenko, D. Soldatenko

“…This opens the way for further research in the direction of refining algorithms for classify satellite data with an imbalanced class structure.…”
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DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection by Shijin Song, Sen Du, Yuefeng Song, Yongxin Zhu

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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

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Exploring AI in metasurface structures with forward and inverse design by Guantai Yang, Qingxiong Xiao, Zhilin Zhang, Zhe Yu, Xiaoxu Wang, Qianbo Lu

“…Forward designs are driven by intelligent algorithms; neural networks are one of the principal ways to realize reverse design. …”
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Application of artificial neural networks for saturation correction in current and voltage transformers by E. A. Temnikov, K. I. Nikitin

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Enhancing intrusion detection systems: Innovative deep learning approaches using CNN, RNN, DBN and autoencoders for robust network security by Yakub HOSSAIN, Zannatul FERDOUS, Tanzillah WAHID, Md. Torikur RAHMAN, Uttam Kumar DEY, Mohammad Amanul ISLAM

“…This thesis evaluates and analyze the performance of DL algorithms. They include convolutional neural networks (CNN), recurrent neural networks (RNN), deep belief networks (DBN), and Auto-encoder. …”
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Impedance Model-Based Optimal Regulation on Force and Position of Bimanual Robots to Hold an Object by Darong Huang, Hong Zhan, Chenguang Yang

“…Bimanual robots have been studied for decades and regulation on internal force of the being held object by two manipulators becomes a research interest in recent years. In this paper, based on impedance model, a method to obtain the optimal target position for bimanual robots to hold an object is proposed. …”
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Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution by Daniel Constantino Zacharias, Angelo Teixeira Lemos

“…The system incorporates a range of technologies, such as satellite data, AI algorithms, autonomous sensors, and high-resolution modeling, to detect and respond to oil spills and maritime threats. …”
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Artificial Intelligence and Public Sector Auditing: Challenges and Opportunities for Supreme Audit Institutions by Dolores Genaro-Moya, Antonio Manuel López-Hernández, Mariia Godz

“…It also reviews the status of the audits of systems based on algorithms carried out by some SAIs.…”
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Expert Study of Issues Related to the Calculation and Payment of Wages and Other Payments Established by Law: Guidelines by М. М. Vinogradova, N. N. Bondar’

“…Based on the examples from expert practice, the author gives algorithms for solving the tasks on the calculation and payment of wages. …”
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Embedded Machine Learning-Based Voltage Fingerprinting for Automotive Cybersecurity by Pierpaolo Dini, Michele Zappavigna, Ettore Soldaini, Sergio Saponara

“…This research presents the development and validation of an embedded system for real-time intrusion detection in automotive environments, leveraging voltage-based ECU fingerprinting. …”
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Emotional Dynamics in Human–Machine Interactive Systems: Effectively Measuring Kuhn Poker Approach with Experimental Validation by Haoran Yang, Shu Liang

“…Using Kuhn poker as an experimental context, we developed an intelligent decision support system based on Counterfactual Regret Minimization algorithms to provide real-time strategic advice to participants. …”
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Review on Sound-Based Industrial Predictive Maintenance: From Feature Engineering to Deep Learning by Tongzhou Ye, Tianhao Peng, Lidong Yang

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Pinna anthropometry in sex estimation: a machine learning-based approach by Emre Söylemez, Suna Tokgöz Yılmaz

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Modeling financial market dynamics with the use of fuzzy by K. A. Polekhina, G. Eu. Polekhina

“…Fuzzy mathematics is a   branch of   mathematics that studies methods and algorithms for dealing with fuzzy data and fuzzy objects. …”
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CONSTRUCTION OF SUBSTITUTION BOX (S-BOX) BASED ON IRREDUCIBLE POLYNOMIALS ON GF(2^8) by Faldy Tita, Adi Setiawan, Bambang Susanto

“…In the field of modern encryption algorithms, the creation of S-Box is an essential element that plays an important role in maintaining data security in various industries. …”
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APLOSE: A web-based annotation platform for underwater passive acoustic monitoring by Gabriel Dubus, Maëlle Torterotot, Julie Béesau, Mathieu Dupont, Anatole Gros-Martial, Mathilde Michel, Elodie Morin, Paul Nguyen Hong Duc, Pierre-Yves Raumer, Olivier Adam, Flore Samaran, Dorian Cazau

“…The platform was used to carry out research projects on inter-annotator variability, to build training and testing data sets for detection algorithms and to perform bioacoustics analysis on noisy datasets. …”
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Freshness recognition and remaining shelf life prediction of banana based on attention Temporal Convolutional Network by LI Xin, ZHU Lei, ZHANG Yuan, DU Yanping, XING Xiao

“…ObjectiveTo address the issue of traditional machine learning algorithms (BP, SVM) struggling to effectively extract features from time series data, which leads to subpar model recognition and prediction performance, and aim to minimize the freshness loss of fresh fruits during the distribution process.MethodsTaking bananas as the research subject, established a banana freshness recognition model (ECA-TCN) by combining Time Convolutional Networks (TCN) with Efficient Channel Attention Networks (ECA-NET) and conduct simulation tests.ResultsThe recognition accuracies for BP, SVM, TCN, and ECA-TCN were 84.89%, 85.16%, 97.83%, and 99.03%, respectively.ConclusionThe experimental method demonstrates superior performance in recognizing the freshness of bananas.…”
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Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze by Incheol Seo, Hyunsu Lee

“…In discussing these results, we emphasize the critical role of hyperparameter optimization in refining the performance and transfer learning efficacy of learning algorithms. This research advances our understanding of the functionality of PF and SF algorithms, particularly in navigating the inherent uncertainty of transfer learning tasks. …”
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Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

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