Digital image representation by atomic functions: features for computer vision and machine learning by Viktor Makarichev, Vladimir Lukin, Sergii Kryvenko, Iryna Brysina

“…Compared to other data types, their substantial size presents challenges in terms of the efficient application of machine learning (ML) and computer vision (CV) methods. In particular, the processing of such large-scale data can be computationally intensive and time-consuming, making it difficult to deploy conventional ML and CV techniques in scenarios requiring real-time responses or in systems with limited processing resources, such as autonomous platforms. …”
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Interneuronal modulations as a functional switch for cortical computations: mechanisms and implication for disease by Yann Zerlaut, Alexandra Tzilivaki, Alexandra Tzilivaki, Alexandra Tzilivaki

“…Additionally, we explore how dysfunctions in these interneurons may disrupt the network’s ability to switch between computational modes, impacting the flexibility of cortical processing and potentially contributing to various neurodevelopmental and psychiatric disorders.…”
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Efficient optimisation of physical reservoir computers using only a delayed input by Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar

“…Abstract Reservoir computing is a machine learning algorithm for processing time dependent data which is well suited for experimental implementation. …”
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Аlgorithm of fast computation of local image histograms on video card1 by Ph. S. Trotski, B. A. Zalesky

“…Now local histograms are used for solution of some tasks of image processing and recognition, but their application is restricted due to the long computational time. …”
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Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association by Huaxin Yu, Xiaofei Zhang, Xueqiang Chen, Hailang Wu

“…The proposed algorithm not only can be regarded as an extension of array-signal-processing DOA tracking algorithm in (Zhang et al. (2008)), but also is an improved version of the DOA tracking algorithm in (Zhang et al. (2008)). …”
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Constructing a Computer Model of the Human Eye Based on Tissue Slice Images by Peishan Dai, Boliang Wang, Chunbo Bao, Ying Ju

“…Computer simulation of the biomechanical and biological heat transfer in ophthalmology greatly relies on having a reliable computer model of the human eye. …”
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High-energy dual-energy computed tomography for the characterization of large and thick objects by Alix Sardet, Daniel Eck, Nicolas Estre, Frédéric Moutet, Emmanuel Payan, Cécilia Tarpau

“…Conventional dual-energy computed tomograohy (DECT) techniques are: (a) pre-processing dual-energy data sets and performing conventional CT reconstruction [1], (b) reconstruct dual-energy data sets and analyse the ratio of obtained linear attenuation coefficients [2, 3] and (c) reconstruct data sets after a decomposition on a material basis [4-6]. …”
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Towards Predictive Communication: The Fusion of Large Language Models and Brain–Computer Interface by Andrea Carìa

“…Third, I will examine how, despite advancements in typing speed, accuracy, and user adaptability, the fusion of LLMs and BCI spellers still faces key challenges such as real-time processing, robustness to noise, and the integration of neural decoding outputs with probabilistic language generation frameworks. …”
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Identification of Computer Editing in Electronic Images of Documents as a Task of Forensic Examination by A. F. Kupin, A. S. Kovalenko

“…The article considers a number of theoretical and applied issues related to forensic examination of electronic images of documents and in particular:- comparative analysis of normative legal acts carried out with regard to regulation of certain aspects of the activities in terms of electronic images of documents’ application;- indication of differences between electronic documents and electronic images of documents;- formulation of definition of the electronic image of the document computer editing;- description of factors affecting the possibility for identification of computer editing of document electronic images as a means of document forgery;- description of the most typical file formats used for storing, processing and transferring electronic images of documents; examination efficiency demonstration of certain methods and tools by means of the file formate examples in terms of identifying the features that indicate the actions performed on electronic images of documents;- characteristic of the operation principle and functional specifics of Grayscale, RGB and Lab color models used when working with electronic images of documents; capabilities demonstration of each one of them with specific reference;- determination of sequencing and limitations of solving the expert task targeted at fact finding of computer editing of document electronic images and its specific…”
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Simulation-Based Evaluation of V2X System with Variable Computational Infrastructure by Andrei Vladyko, Pavel Plotnikov, Gleb Tambovtsev

“…The research analyzes various methods, including clustering, edge computing, and fog computing, aimed at minimizing system losses. …”
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Multifunctional In‐Memory Analog‐to‐Digital Converter for Next‐Gen Compute‐in‐Memory Systems by Jiseong Im, Jonghyun Ko, Joon Hwang, Jangsaeng Kim, Wonjun Shin, Ryun‐Han Koo, Minkyu Park, Sung‐Ho Park, Woo Young Choi, Jae‐Joon Kim, Jong‐Ho Lee

“…Compute‐in‐memory (CIM) technology based on emerging nonvolatile memories (NVMs) has shown promise in enhancing artificial intelligence applications by integrating computation directly within NVM arrays. …”
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Employing X-Ray computed tomography for the analysis of intact ice core sections by Александра Гаяровна Хайрединова, Станислав Сергеевич Кутузов, Владимир Николаевич Михаленко, Дмитрий Вячиславович Корост, Алексей Николаевич Хомяк

“…The primary usage of CT does not prevent further processing of the ice samples. For CT the analysis cost is low, while the amount of useful information obtained is substantial. …”
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Complexity reduction by symmetry: Uncovering the minimal regulatory network for logical computation in bacteria. by Luis A Álvarez-García, Wolfram Liebermeister, Ian Leifer, Hernán A Makse

“…These connected components perform signal processing and decision making in the bacterial cell by employing a series of genetic toggle-switch circuits that store memory, plus oscillator circuits. …”
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Multi-stage deep learning artifact reduction for parallel-beam computed tomography by Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg

“…The acquired projection data are typically processed by a computational pipeline composed of multiple stages. …”
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Computational modelling reveals the influence of object similarity and proximity on visually guided movements by Mandar Manjunath Patil, Dietmar Heinke, Fan Zhang

“…However, what was novel here was that modelling the reaches also allowed to temporally separate these factors, as the start of the movement was affected by both factors while the reach trajectory was affected only by proximity between target and distractor objects indicating that human information processing of visual stimuli applies these factors in a serial fashion. …”
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Audio Features in Education: A Systematic Review of Computational Applications and Research Gaps by Federico Pardo, Óscar Cánovas, Félix J. García Clemente

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A Method for Improving Traffic Management Based on Computer Vision and Traffic Simulation by R. Huang, Z. Wang, Y. Lin, T. Du, K. Lu, K. Lu, C. Ding, Y. Zhang

“…This study develops an integrated framework combining computer vision and traffic simulation for optimizing traffic management in high-density urban commercial areas. …”
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A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

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Automatic plant disease detection using computationally efficient convolutional neural network by Muhammad Rizwan, Samina Bibi, Sana Ul Haq, Muhammad Asif, Tariqullah Jan, Mohammad Haseeb Zafar

“…Alternatively, automatic approaches utilize 2D plant images processed through machine learning. The current study opts for the later approach due to its advantages in terms of speed, efficiency, and convenience. …”
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Structural Designing of Supersonic Swirling Devices Based on Computational Fluid Dynamics Theory by Qian Huang, Huirong Huang, Xueyuan Long, Yuan Tian, Jiang Meng

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