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Dennis Nii Ayeh Mensah, Hui Gao and Liang Wei Yang
Proposed algorithms for calculating the shortest paths such as Dijikstra and Flowd-Warshall?s algorithms are limited to small networks due to computational complexity and cost. We propose an efficient and a more accurate approximation algorithm that is a...
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Vladislav Shatravin, Dmitriy Shashev and Stanislav Shidlovskiy
The remarkable results of applying machine learning algorithms to complex tasks are well known. They open wide opportunities in natural language processing, image recognition, and predictive analysis. However, their use in low-power intelligent systems i...
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V. V. Skalozub,L. ?. Panik,A. D. Panarin
Pág. 56 - 67
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Manfred Sneps-Sneppe
Pág. 28 - 33
Currently, there is a fundamental change in the telecommunications paradigm - the transition from traditional circuit switching networks to new multi-service networks, which are based on the principles of packet switching. Previously, there were separate...
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Mohammad Arifuzzaman and Mitsuji Matsumoto
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?????? ?????????? ???????, ??????? ????????????? ??????????
Pág. 42 - 49
The subject matter of the study is data clustering based on the ensemble of neural networks. The goal of the work is to create a new approach to solving the tasks of clustering in data streams when information is fed observation-by-observation in online ...
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Leonid Tymchenko,Vladimir Tverdomed,Nikolay Petrovsky,Natalya Kokryatskaya,Yurii Maistrenko
Pág. 21 - 27
A method for processing images of spots of laser beams is presented for systems using a modern and promising form of communication using atmospheric-optical communication lines (AOCL). The method allows to significantly expand the use of laser technology...
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Sicong Liu, Qingcheng Fan, Shanghao Liu and Chunjiang Zhao
Animal pose estimation has important value in both theoretical research and practical applications, such as zoology and wildlife conservation. A simple but effective high-resolution Transformer model for animal pose estimation called DepthFormer is provi...
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Seojin Jang, Wei Liu and Yongbeom Cho
Owing to their high accuracy, deep convolutional neural networks (CNNs) are extensively used. However, they are characterized by high complexity. Real-time performance and acceleration are required in current CNN systems. A graphics processing unit (GPU)...
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Philipp Schuegraf and Ksenia Bittner
Recent technical developments made it possible to supply large-scale satellite image coverage. This poses the challenge of efficient discovery of imagery. One very important task in applications like urban planning and reconstruction is to automatically ...
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Bo Wan, Lin Yang, Shunping Zhou, Run Wang, Dezhi Wang and Wenjie Zhen
The road-network matching method is an effective tool for map integration, fusion, and update. Due to the complexity of road networks in the real world, matching methods often contain a series of complicated processes to identify homonymous roads and dea...
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Armando Carravetta, Giuseppe del Giudice, Oreste Fecarotta and Helena M. Ramos
In the management of water distribution networks, large energy savings can be yielded by exploiting the head drop due to the network pressure control strategy, i.e., for leak reductions. Hydropower in small streams is already exploited, but technical sol...
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T. M. Mishchenko
Pág. 86 - 91
A new method for parameters identification of devices of the electric traction systems is offered. The numerical calculations of time and current dependences of equivalent parameters of two-terminal networks, which equivalent circuit looks as parallel co...
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Felipe C. Farias, Teresa B. Ludermir and Carmelo J. A. Bastos-Filho
In this paper we propose a procedure to enable the training of several independent Multilayer Perceptron Neural Networks with a different number of neurons and activation functions in parallel (ParallelMLPs) by exploring the principle of locality and par...
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Andreas G. Papidas and George C. Polyzos
We describe self-organizing network (SON) concepts and architectures and their potential to play a central role in 5G deployment and next-generation networks. Our focus is on the basic SON use case applied to radio access networks (RAN), which is self-op...
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Vinicius da Silva Faria, Jéssica Alcântara Gonçalves, Camilla Alves Mariano da Silva, Gabriele de Brito Vieira and Dalbert Matos Mascarenhas
Denial of service (DoS) attacks play a significant role in contemporary cyberspace scenarios. A variety of different DoS attacks pollute networks by exploring various vulnerabilities. A group of DoS called application DoS attacks explore application vuln...
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Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
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Yefeng Sun, Liang Gong, Wei Zhang, Bishu Gao, Yanming Li and Chengliang Liu
Drivable area detection is crucial for the autonomous navigation of agricultural robots. However, semi-structured agricultural roads are generally not marked with lanes and their boundaries are ambiguous, which impedes the accurate segmentation of drivab...
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Ioannis G. Tsoulos and Vasileios Charilogis
In the present work, an innovative two-phase method is presented for parameter tuning in radial basis function artificial neural networks. These kinds of machine learning models find application in many scientific fields in classification problems or in ...
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Aleksandr Cariow, Janusz P. Paplinski and Marta Makowska
The paper introduces a range of efficient algorithmic solutions for implementing the fundamental filtering operation in convolutional layers of convolutional neural networks on fully parallel hardware. Specifically, these operations involve computing M i...
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