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標(biāo)題: Titlebook: Advanced Intelligent Computing Technology and Applications; 19th International C De-Shuang Huang,Prashan Premaratne,Abir Hussain Conference [打印本頁]

作者: 債權(quán)人    時間: 2025-3-21 17:50
書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)




書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications年度引用




書目名稱Advanced Intelligent Computing Technology and Applications年度引用學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋學(xué)科排名





作者: 思考    時間: 2025-3-21 20:29

作者: 哀悼    時間: 2025-3-22 01:44

作者: Albumin    時間: 2025-3-22 07:12

作者: PAGAN    時間: 2025-3-22 11:52

作者: tendinitis    時間: 2025-3-22 14:31
Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Predictito optimize your Drupal installation to perform well under high-load situations. Also featured is information on Drupal security and best practices, as well as integration of Ajax and the internation978-1-4302-0190-8
作者: Ingratiate    時間: 2025-3-22 18:10
Identification of CircRNA-Disease Associations from the Integration of Multi-dimensional Bioinformate complex applications entirely from scratch for each of their clients. Instead,they should begin by using an enterprise-class CMS like Drupal to provide a robust foundation for them so that they can concentrat978-1-4302-6004-2978-1-4302-6005-9
作者: 反饋    時間: 2025-3-23 00:17
SSTVC: Carotid Plaque Classification from Ultrasound Images Using Self-supervised Triple-View Contrain adapters and serializers in Ember Data work.Customize adapters and serializers to consume any API and write them from scratch.Handle API errors in Ember Data.Work with the Reddit API using Ember Data.Learn h978-1-4842-6560-4978-1-4842-6561-1
作者: Oratory    時間: 2025-3-23 03:26

作者: WAX    時間: 2025-3-23 09:33
0302-9743 with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science andtechnology..978-981-99-4748-5978-981-99-4749-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 使增至最大    時間: 2025-3-23 09:43
Alessandra Battisti,Livia Calcagnilative volume difference (RVD) decreases by 1.09%; On the CHAOS dataset, the DSC of this method reaches 96.8%, and compared with CANet, the DSC increases by 0.2%; On the MRI dataset of a hospital, the DSC of this method reaches 97.2%.
作者: colostrum    時間: 2025-3-23 17:36
Avant Gardening to Grow the Green Citye, so the target image usually contains some original attribute features. Therefore, a Prior-Guided Generative Adversarial Net (PGedGAN) based on the image attribute editing technology to guide complete attributes manipulation is proposed in this paper. The prior includes two parts: 1) Location Prio
作者: SYN    時間: 2025-3-23 21:50

作者: ECG769    時間: 2025-3-23 22:18

作者: enchant    時間: 2025-3-24 04:22

作者: 可憎    時間: 2025-3-24 07:29
https://doi.org/10.1057/9780230611832e PredACVP model, which achieves AUC of 0.990 on test datasets, outperforms the state-of-the-art tools for ACVPs identification. PredACVP can improve the prediction performance, and accelerate the development of peptide drugs for COVID-19. GAN used in this work not only can be applied on the data au
作者: 使人入神    時間: 2025-3-24 13:37
https://doi.org/10.1007/978-1-349-25545-0each mapping module recursively iterates twice. Finally, the new enhanced features are entered into the classifier. The output of the model represents the probability that a gene is a driver gene. We applied our method and four other existing methods to predict cancer drivers. The experimental resul
作者: visual-cortex    時間: 2025-3-24 18:06

作者: Keratin    時間: 2025-3-24 22:45
https://doi.org/10.1007/978-1-349-25545-0pically requires a significant amount of data to train neural networks to identify specific features and types of glioma cells. On this basis, we proposed Cascade Fusion Network (CFNet) to try to improve the accuracy of identification of glioma cells.
作者: endure    時間: 2025-3-25 02:49
Alzheimer’s Disease in American Fictionesophageal cancer entities as well as extracted entities in biomedical literature. The designed model framework is mainly composed of a BioBERT pre-training language model coding layer, batch standardization layer, head entity decoding layer, and tail entity decoding layer, as well as constructs a c
作者: Palpable    時間: 2025-3-25 04:26

作者: gospel    時間: 2025-3-25 09:49

作者: 被告    時間: 2025-3-25 12:35

作者: Aggressive    時間: 2025-3-25 16:51

作者: Incommensurate    時間: 2025-3-25 20:54
Mabel Annie Stobart (1862–1954)tion learning module of MORGAT utilizes similarity-based attention mechanisms. Our knowledge-informed multi-omics integration module is based on the knowledge of the central dogma of molecular biology to exploit omics representations. Extensive experiments demonstrate the performance of our method.
作者: LIKEN    時間: 2025-3-26 00:38
Front Matters. He starts with the nuts-and-bolts and shows you everything through to advanced features, going in-depth to give you the knowledge you need. .Pro Design Patterns in Swift .brings design patterns to life and shows you how to bring structure and scale to yourSwift code with a practical, no-nonsense approach..978-1-4842-0395-8978-1-4842-0394-1
作者: Cougar    時間: 2025-3-26 05:26
An Improved Method for CFNet Identifying Glioma Cellsower to create additional data-entry fields, validation logic, and new reports without assistance from the application developer. You will learn how to do this for both desktop (C# and WPF) and web (ASP) applications..978-1-4302-2519-5978-1-4302-2520-1
作者: ALIBI    時間: 2025-3-26 10:23
BIJE: A Joint Extraction Model for Biomedical Information Extractione full syntax for bulk update and delete statements, the runtime behavior of which was described in the previous chapter..In the next chapter we switch back to object-relational mapping and cover advanced concepts such as inheritance, composite primary keys and associations, and multiple table mappings.
作者: irreparable    時間: 2025-3-26 16:42
An Unsupervised Domain Adaptive Network Based on Category Prototype Alignment for Medical Image Segms.. . .Comprehensive coverage of the new greater and more challenging integration with .NET 3.5 . .Written from a real–world perspective and examines the features offered by LINQ and the Entity Framework that will help solve problems experienced by professional developers . .Contains insight, interp
作者: interrogate    時間: 2025-3-26 20:37
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probabilits using your MVC data model?.Create MVC models using an existing database?.Access data in an MVC application using Entity Framework Core 2.Use Entity Framework in RESTful Web Services.Who This Book Is For.ASP.NET Core MVC 2 developers who want to use Entity Framework Core 2 as the data access layer
作者: Palatial    時間: 2025-3-27 00:21

作者: 臥虎藏龍    時間: 2025-3-27 02:06

作者: coagulate    時間: 2025-3-27 07:04
PEA-U-Net: Parallel Embedded Attention for Liver and Tumor Segmentation in CT Volumes978-1-4302-2839-4
作者: 武器    時間: 2025-3-27 09:26
Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping Algorithm978-1-4302-0990-4
作者: 傲慢物    時間: 2025-3-27 16:21

作者: FLEET    時間: 2025-3-27 18:50

作者: Myelin    時間: 2025-3-28 01:51
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/145766.jpg
作者: Interferons    時間: 2025-3-28 04:43

作者: Cholagogue    時間: 2025-3-28 06:54

作者: facetious    時間: 2025-3-28 12:48
https://doi.org/10.1007/978-3-031-50567-6tional neural network (CNN) approaches in skin-lesions segmentation. However, it faces intractable challenges such as variable shape and blurred skin lesions boundaries. To this end, past research has employed cutting-edge mechanisms, including diverse attention modules. Inspired by state-of-the-art
作者: 幻想    時間: 2025-3-28 15:09

作者: LATER    時間: 2025-3-28 21:06

作者: 旁觀者    時間: 2025-3-29 02:26
https://doi.org/10.1057/9780230611832potential peptide drugs for COVID-19. Computational methods for ACVP identification can improve the development of COVID-19 therapeutic. In this work, we propose PredACVP, which is an ACVPs prediction model using generative adversarial network (GAN)-based data augmentation method and stacked ensembl
作者: 最有利    時間: 2025-3-29 03:46

作者: LITHE    時間: 2025-3-29 10:02

作者: Coma704    時間: 2025-3-29 13:45
https://doi.org/10.1007/978-1-349-25545-0erate rapidly, leading to the formation of a mass or tumor in the brain or spinal cord. Glioma cells can be classified into different types based on their morphology under a microscope and the genetic alterations they undergo. Some types of glioma cells are more aggressive and have a worse prognosis
作者: innate    時間: 2025-3-29 18:41

作者: 裂口    時間: 2025-3-29 21:10
Alzheimer’s Disease in American Fictions contain a large number of sentences with complex structures, such as entity nesting and relation overlapping, which pose significant challenges to existing joint models. To address these issues, we propose a three-stage joint extraction model called BIJE, which uses an entity matrix-based strategy
作者: mortuary    時間: 2025-3-30 00:27

作者: epicondylitis    時間: 2025-3-30 05:27
Alzheimer’s Disease in American Fictionts. While deep supervised learning has been proven to be effective in carotid plaque classification, its performance is limited by the scarcity of labeled images of carotid plaques that are available in clinical settings. To improve the classification performance of convolutional neural networks (CN
作者: BOOR    時間: 2025-3-30 09:09

作者: Perceive    時間: 2025-3-30 13:10

作者: Exonerate    時間: 2025-3-30 18:00
IDA B. Wells-Barnett (1862–1931)nal-based methods fall short of taking into account the non-Euclidean nature of biomedical network data. To address this challenge, we propose a graph representation learning model, called DDAGTP, for drug repositioning using graph transition probability matrix in heterogenous information networks (
作者: 橫條    時間: 2025-3-30 22:16
Mabel Annie Stobart (1862–1954)n of an ever-increasing volume of omics data has provided crucial support for comprehending the pathogenesis and development process of cancer. However, current methods of multi-omics integration fail to consider the direction of genetic information transmission across omics and overlook the noise p
作者: 亂砍    時間: 2025-3-31 02:11

作者: 帳單    時間: 2025-3-31 08:35
978-981-99-4748-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: 不如屎殼郎    時間: 2025-3-31 12:35
Advanced Intelligent Computing Technology and Applications978-981-99-4749-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 最低點    時間: 2025-3-31 15:28





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