Titlebook: Intelligent Systems and Networks; Selected Articles fr Thi Dieu Linh Nguyen,Elena Verdú,Maria Ganzha Conference proceedings 2023 The Editor

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Framework for Digital Academic Records Management Using Blockchain Technology,oach. Blockchain is especially meaningful in trustless systems, where stakeholders are susceptible to tampering and consensus is required. In this work, we propose a practical framework for academic records management so that stakeholders can exploit records effectively. Based on the framework, we a

Acetabulum

,Novel Forest Height Extraction Method Based on Neuman Volume Scattering Model from PolInSAR Images,polarized interference UAV-SAR images. The forest parameters are extracted by the suggested solution which are carried out through 3 steps. First, the contribution of the scattering components is determined based on the Neuman volume scattering model. Next, constraint conditions are added to determi

落叶剂

Q-Learning Based Multiple Agent Reinforcement Learning Model for Air Target Threat Assessment,otential attacks of the various hostile airborne objects such as aircraft, missiles, helicopters and drones/UAV. This paper proposes a method to solve the problem of threat assessment of air targets by presenting the process of air defense scenarios in the form of Markov decision process and using r

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Real-Time Multi-vessel Classification and Tracking Based on StrongSORT-YOLOv5,sion has significantly developed, which allows its application to these systems. Accordingly, in this paper, a method based on a YOLOv5-based deep neural network combined with the Strong Simple Online Real-time Object Tracking (StrongSORT) algorithm is proposed for vessel detection, classification,

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Power Management for Distributed DC Microgrid Under Minimum System Price,nication links. Only seven communication links are enough to achieve the power balance and voltage regulation in case of both the grid-connected and islanded modes for distributed DCMG system that consists of 5 agents. Several simulations have been implemented to verify the effectiveness of the prop

SLAG

,Detection and Diagnosis of Atopic Dermatitis Using Deep Learning Network,learning network to analyze the layers and get the suitable layer for diseased and non-diseased images. These images are further feature extracted through HOG feature extraction and SVM classifier to classify disease and non-disease. The proposed method proves to be effective in precision and recall

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,Detection and Diagnosis of Atopic Dermatitis Using Deep Learning Network,ough HOG feature extraction and SVM classifier to classify disease and non-disease. The proposed method proves to be effective in precision and recall, that can be considered as an adjunct to traditional diagnostic methods, and the results obtained are equivalent to that of a diagnostician while limiting the heterogeneity between the predictors.

Graves’-disease

Conference proceedings 2023utcomes, results and cutting edge works which are of importance to professionals and academics/researchers. It covers topics such as Computational Intelligence in Language and Speech Processing; Software development methods; Wireless Communications and Signal Processing; IoT and Sensor Embedded Systems ; etc..

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Conference proceedings 2023peer reviewed high impact research manuscripts, that highlight the work based on Intelligent System and Networks. The book presents ongoing research outcomes, results and cutting edge works which are of importance to professionals and academics/researchers. It covers topics such as Computational Int