Effectiveness of large language models and software libraries in sentiment analysis by Agnieszka WOJDECKA, Jakub GROMADZIŃSKI, Krzysztof WALCZAK

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CNN based plant disease identification using PYNQ FPGA by Vivek Karthick Perumal, Supriyaa T, Santhosh P R, Dhanasekaran S

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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…Computer vision and image processing have become relevant in recent years due to their capabilities to support different tasks in several areas. …”
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PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing by Fatemeh Jafarinejad, Marziea Rahimi, Maryam Khodabakhsh, Seyedehfatemeh Karimi

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Deletion method of image low-frequency components using fast median filter algorithm by N. V. Bilous, O. I. Krasov, V. P. Vlasenko

“…This article proposes a computational method for removing low-frequency component of the raster image. …”
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Track Detection Algorithm Based on Trace Correlation Using Hough Transform by A. A. Monakov

“…Track detection is one of the main tasks to be solved in trajectory processing. This task can be efficiently solved using the Hough Transform. …”
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Scalable Matching and Clustering of Entities with FAMER by Alieh Saeedi, Markus Nentwig, Eric Peukert, Erhard Rahm

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Applying neural networks in coordinated group signal transformation to improve image quality by E.A. Lopukhova, G.S. Voronkov, I.V. Kuznetsov, V.V. Ivanov, R.V. Kutluyarov, A.Kh. Sultanov, E.P. Grakhova

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Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages by Željko NEDELJKOVIĆ, Milana MILOŠEVIĆ, Željko ĐUROVIĆ

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Comparing acoustic representations for deep learning-based classification of underwater acoustic signals: A case study on orca (Orcinus orca) vocalizations by Fabio Frazao, Ruth Joy, Michael Dowd

“…Passive acoustic monitoring of marine mammal vocalizations often relies on automated detectors to process large quantities of data. Many automated systems use spectrograms as a way to represent acoustic information, including those built on deep artificial neural networks (DNNs). …”
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The Application of the Internet of Things in the Information Arena of the Islamic Republic of Iran Army by Ali Farahmandnezhad, Sepehr MohammadZahraee, soheil Mohammad zahraei

“…Conclusion: The final results indicate that the Internet of Things in the information sector of the Islamic Republic of Iran Army is applied in the following components, in order of importance: information collection, processing, storage, and dissemination, along with the indicators outlined in the research.…”
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Olfactory neurofeedback: current state and possibilities for further development by Ivan Ninenko, Ivan Ninenko, Alexandra Medvedeva, Victoria L. Efimova, Daria F. Kleeva, Daria F. Kleeva, Daria F. Kleeva, Marina Morozova, Mikhail A. Lebedev, Mikhail A. Lebedev

“…In particular, electroencephalography (EEG)-based O-NFB systems are capable of incorporating different components of complex olfactory processing – from simple discrimination tasks to using olfactory stimuli for rehabilitation of neurological disorders. …”
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A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation by Guiqian Wang, Feiniu Yuan, Hongdi Li, Zhijun Fang

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SpDRAM: Efficient In-DRAM Acceleration of Sparse Matrix-Vector Multiplication by Jieui Kang, Soeun Choi, Eunjin Lee, Jaehyeong Sim

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A novel trace-based sampling method for conformance checking by Heidy M. Marin-Castro, Miguel Morales-Sandoval, José Luis González-Compean, Julio Hernandez

“…Under a big data scenario, traditional conformance checking methods struggle to analyzing the instances or traces in large event logs, increasing the associated computational cost. In this article, we study and address the conformance-checking task supported by a traces selection approach that uses representative sample data of the event log and thus reduces the processing time and computational cost without losing confidence in the obtained conformance value. …”
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Survey of Distributed Computing Frameworks for Supporting Big Data Analysis by Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

“…Distributed computing frameworks are the fundamental component of distributed computing systems. …”
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Comprehensive Review of Edge Computing for Power Systems: State of the Art, Architecture, and Applications by Fatma Yıldırım, Yunus Yalman, Kamil Çağatay Bayındır, Erman Terciyanlı

“…The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has necessitated the implementation of smart grid technologies and the integration of advanced computing paradigms such as edge computing. …”
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Solving implementation issues of Permutation Monte Carlo in different network reliability contexts by Héctor Cancela, Leslie Murray, Gerardo Rubino

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Inline Wear Detection in High-Speed Progressive Dies Using Photometric Stereo by Moske Jonas, Kutlu Hasan, Steinmeier Adrian, Groenewold Phil, Santos Pedro, Kuijper Arjan, Weinmann Andreas, Groche Peter

“…The progressive forming of complex components, including blanking, deep-drawing, and bending, represents an economically efficient sheet metal processing method. Wear control is crucial for ensuring product quality by preventing defects and minimizing material waste. …”
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Improved FFT-based alpha-stable density approximation algorithm by BAI Yun, YU Li, ZHU Guang-xi, LI Li

“…Approximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The improved algorithm has 2 noticeable features: automatically choosing the sampling space and sampling interval,importing frequency expansion.Experiments show that it can decrease calculation complexity and effectively control computation error.…”
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