Convolution algorithm

This study proposes a new approach for diagnosing pediatric sepsis that utilizes a convolutional neural network and a combination of 7 immune-related genes (IRGs), including CD24, TTK, PRG2, CLEC7A, CCL3, TNFAIP3, and CCRL2. A three-layer gene selection process involves a sequential procedure that combines differential gene expression analysis, selection of immune-related genes, and gene score calculation using the F-score algorithm.

8p vithomson 02-07-2024 0 0   Download

Artificial intelligence (AI) is the development of computer systems that are able to perform tasks that normally require human intelligence. Advances in AI software and hardware, especially deep learning algorithms and the graphics processing units (GPUs) that power their training, have led to a recent and rapidly increasing interest in medical AI applications.

12p vibransone 28-03-2024 5 1   Download

Part 2 book "Auralization - Fundamentals of acoustics, modelling, simulation, algorithms and acoustic virtual reality" includes content: Characterization of sources, convolution and sound synthesis, simulation models, simulation of sound in rooms, simulation and auralization of airborne sound insulation,... and other contents.

212p muasambanhan07 18-02-2024 4 1   Download

Continued part 1, part 2 of ebook "Fundamentals of digital communication" provides readers with contents including: Chapter 6 - Information-theoretic limits and their computation; Chapter 7 - Channel coding; Chapter 8 - Wireless communication; Appendix A - Probability, random variables, and random processes; Appendix B - The Chernoff bound;...

249p mocthanhdao0210 19-11-2023 4 3   Download

This paper focuses on an exact algorithm for solving NP-hard combinatorial optimization problems which frequently requires significant specialized knowledge and trial and error, especially, Mixed Integer Linear Programs (MILP). This challenging, tedious process can be automated by learning the algorithms instead.

6p visystrom 22-11-2023 5 4   Download

Part 1 of ebook "Rhetorical code studies: Discovering arguments in and around code" provides readers with contents including: toward the rhetorical study of code; rhetoric and the algorithm; “i have no damn idea why this is so convoluted” - analyzing arguments surrounding code;...

133p tieulangtran 28-09-2023 5 2   Download

Continued part 1, part 2 of ebook "Coding theory: Algorithms, architectures and applications" provides readers with contents including: turbo codes; concatenated convolutional codes; woven convolutional codes; space–time codes; orthogonal space–time block codes; spatial multiplexing; digital modulation schemes; algebraic structures; discrete fourier transform; ergodic error probability;...

178p hanlinhchi 29-08-2023 8 3   Download

Part 1 of ebook "Coding theory: Algorithms, architectures and applications" provides readers with contents including: communication systems; binary symmetric channel; algebraic coding theory; fundamentals of block codes; linear block codes; cyclic codes; convolutional codes; encoding of convolutional codes; trellis diagram and the viterbi algorithm; distance properties and error bounds;...

177p hanlinhchi 29-08-2023 4 2   Download

This approach utilizes the You Only Look Once (YOLO) v3 algorithm combined with a Convolutional Neural Network (CNN) to early detect and assess fire rick for indoors alert. The results showed that the proposed solution is promising for decision making and early handling fire beforehand to ensure the safety inside buildings.

7p viengels 25-08-2023 5 4   Download

In this paper, a novel algorithm is proposed for the recognition of human faces and temperature using deep learning methods and thermal face images. The search-based method is developed for selection of an optimal structure and parameters of the convolutional neural network using the thermal images as the input.

6p viannee 02-08-2023 5 3   Download

Defect detection is recognized to be the most integral criterion for the printed circuit boards (PCBs) quality in industrial manufacturing. The traditional PCB inspection methods have several disadvantages such as time-consuming, labor-intensive, environmental clutter - susceptibility, and inaccurate detection ability. This paper offers a deep learning method for PCB defect detection.

6p viericschmid 12-01-2022 23 1   Download

This paper, based on secondary research, discusses about mask detection enhancing identification quality on masked faces from current face recognition technologies, describes which dataset, library, methodlogy, algorithm used to develop project. All in all, the paper draws the conclusion that the purpose of this application is for the health of the community, contributing to the difficult situation of the world today, to repel the epidemic quickly.

7p huyetthienthan 23-11-2021 13 2   Download

This paper developed a novel solution of the change detection based on a combination of the Neighbor-based Ratio operator and the Convolutional Wavelet Neural Network algorithm for improving the accuracy of change detection in multi-temporal SAR images.

8p nguaconbaynhay12 13-06-2021 34 1   Download

This paper proposes and develops a web attack detection model that combines a clustering algorithm and a multi-branch convolutional neural network (CNN). The original feature set was clustered into clusters of similar features. Each cluster of similar features was generalized in a convolutional structure of a branch of the CNN. The component feature vectors are assembled into a synthetic feature vector and included in a fully connected layer for classification.

7p chauchaungayxua12 11-05-2021 18 4   Download

In this paper, we propose an efficient profiled attack for unprotected and masking-protected cryptographic devices based on two CNN architectures, called CNNn, CNNd respectively. Both of CNN architecture parameters proposed in this paper are based on the property of points of interest on the power trace and further determined by the Grey Wolf Optimization (GWO) algorithm. To verify the proposed attacks, experiments were performed on a trace set collected from an Atmega8515 smart card when it performs AES-128 encryption, a DPA contest v4 dataset and the ASCAD public dataset.

22p nguaconbaynhay11 07-04-2021 27 5   Download

In this study, the method based on the proposed deep-learning method called ODC-Cloud, which was built on convolutional blocks and integrating with the Open Data Cube (ODC) platform. The results showed that our proposed model achieved an overall 90% accuracy in detecting cloud in Landsat 8 OLI imagery and successfully integrated with the ODC to perform multi-scale and multi-temporal analysis.

9p larachdumlanat129 14-01-2021 14 1   Download

Benefiting from big data, powerful computation and new algorithmic techniques, we have been witnessing the renaissance of deep learning, particularly the combination of natural language processing (NLP) and deep neural networks.

12p vicoachella2711 27-10-2020 16 1   Download

The aim of gene expression-based clinical modelling in tumorigenesis is not only to accurately predict the clinical endpoints, but also to reveal the genome characteristics for downstream analysis for the purpose of understanding the mechanisms of cancers.

24p vicolorado2711 22-10-2020 15 0   Download

The number of applications of deep learning algorithms in bioinformatics is increasing as they usually achieve superior performance over classical approaches, especially, when bigger training datasets are available.

14p vicolorado2711 22-10-2020 24 0   Download

Liver segmentation is relevant for several clinical applications. Automatic liver segmentation using convolutional neural networks (CNNs) has been recently investigated. In this paper, we propose a new approach of combining a largest connected component (LCC) algorithm, as a post-processing step, with CNN approaches to improve liver segmentation accuracy.

13p tamynhan4 06-09-2020 14 3   Download