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Titlebook: Systems, Signals and Image Processing; 28th International C Gregor Rozinaj,Radoslav Vargic Conference proceedings 2022 Springer Nature Swit

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发表于 2025-3-21 16:27:32 | 显示全部楼层 |阅读模式
书目名称Systems, Signals and Image Processing
副标题28th International C
编辑Gregor Rozinaj,Radoslav Vargic
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Systems, Signals and Image Processing; 28th International C Gregor Rozinaj,Radoslav Vargic Conference proceedings 2022 Springer Nature Swit
描述This volume constitutes selected papers presented at the 28th International Conference on Systems, Signals and Image Processing, IWSSIP 2021, held in Bratislava, Slovakia, in June 2021. Due to the COVID-19 pandemic the conference was held online. .The presented 14 full and 5 short papers were thorougly reviewed and selected from the 76 submissions. The papers focus on various aspects of advanced signal processing in different scientific areas, including filter design, Fourier and other transforms, feature extraction, machine learning and system adaptation to user-oriented products like 5G networks, IoT, virtual teleport or tele-surgery operations..
出版日期Conference proceedings 2022
关键词artificial intelligence; classification methods; communication channels (information theory); communica
版次1
doihttps://doi.org/10.1007/978-3-030-96878-6
isbn_softcover978-3-030-96877-9
isbn_ebook978-3-030-96878-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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发表于 2025-3-21 22:11:52 | 显示全部楼层
Fingerprint Classification Based on the Henry System via ResNety-to-use, reliable, and economical authentication method. In addition to that, fingerprint recognition systems are of great importance because of their applicability in our lives. This work presents a classification methodology based on Henry Classification System using Convolutional Neural Networks
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发表于 2025-3-22 07:58:45 | 显示全部楼层
Presenting a System to Aid on the Examination of Scintigraphy Bone Analysis Using DICOM Filesy DICOM exams. In such a way, all aspects included from the image preprocessing to the identification and final classification of bone anomalies by the digital scintigraphy images are presented in details.
发表于 2025-3-22 10:59:25 | 显示全部楼层
Viewpoint Selection for Fibrous Structures in a Pre-operative Context: Application to Cranial Nervesased on entropy was developed, which integrates the typical requirements of surgery planning. We applied our approach in the case of cranial nerves surrounding skull base tumors. The relevance of the viewpoints selected by our method was assessed qualitatively by a neurosurgeon and quantitatively ba
发表于 2025-3-22 15:34:07 | 显示全部楼层
Gait Recognition with DensePose Energy Imagesal user action, or its long-distance recognizability. In general, there exist two methods - model-based and appearance-based methods - both of which come with their own advantages and disadvantages. In an effort to harness the best of both worlds we create a compact 3D human model-based gait represe
发表于 2025-3-22 18:44:27 | 显示全部楼层
Adaptive IIR Filtering for System Identification Applying the Method by Nelder and Mead white sequence signal, which is not correlated with the input signal, is added to the system output. An illustrative example is solved, and the optimization is performed using the Simplex method by Nelder and Mead. A comparison is done to results by a genetic algorithm and a simulated annealing alg
发表于 2025-3-23 01:16:15 | 显示全部楼层
Moment Transform-Based Compressive Sensing in Image Processingbetter information. One of the important issues that arise is image denoising, which means recovering a signal from inaccurately and/or partially measured samples. This interpretation is highly correlated to the compressive sensing theory, which is a revolutionary technology and implies that if a si
发表于 2025-3-23 03:28:17 | 显示全部楼层
Classification of Toxic Ornamental Plants for Domestic Animals Using CNNrucial for the affected animal. In this work, we propose the classification of toxic ornamental plants, according to nine different categories, using five widely-known CNN architectures, namely: DenseNet, ResNet, VGG16, VGG19 and Xception. The rationale behind it is that the automatic identification
发表于 2025-3-23 06:42:56 | 显示全部楼层
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