標(biāo)題: Titlebook: Biomedical and Other Applications of Soft Computing; Nguyen Hoang Phuong,Vladik Kreinovich Book 2023 The Editor(s) (if applicable) and The [打印本頁(yè)] 作者: 怕跛行他有限 時(shí)間: 2025-3-21 16:13
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書目名稱Biomedical and Other Applications of Soft Computing讀者反饋
書目名稱Biomedical and Other Applications of Soft Computing讀者反饋學(xué)科排名
作者: Neutral-Spine 時(shí)間: 2025-3-21 23:38
,Topic Model—Machine Learning Classifier Integrations on?Geocoded Twitter Data,ems for labeled text data. We use geo-coded social media posts from Twitter, but our approach can be expanded to other labeled documents. The output of Latent Dirichlet Allocation (LDA) [.] models and Structural Topic Models (STM) [.] are used as an input for machine learning classifiers, after pool作者: Reverie 時(shí)間: 2025-3-22 03:42 作者: 媒介 時(shí)間: 2025-3-22 06:18
Biomedical and Other Applications of Soft Computing作者: macrophage 時(shí)間: 2025-3-22 10:36 作者: 小說(shuō) 時(shí)間: 2025-3-22 14:09 作者: 帽子 時(shí)間: 2025-3-22 17:53
Nizamettin Kazanc?,Neil Robertsg its promising capabilities in the task. The application is expected to easily be integrated into a mobile application and open the way for other deep-learning-based solutions which analyze people’s symptoms to help them have their health conditions diagnosed at home.作者: CBC471 時(shí)間: 2025-3-23 00:28
1860-949X tational intelligence methods and their biomedical applications—and to further develop this important research?direction..978-3-031-08582-6978-3-031-08580-2Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: CRACY 時(shí)間: 2025-3-23 03:28 作者: meretricious 時(shí)間: 2025-3-23 06:46 作者: concentrate 時(shí)間: 2025-3-23 11:39 作者: Neutral-Spine 時(shí)間: 2025-3-23 14:54 作者: 陶醉 時(shí)間: 2025-3-23 19:58 作者: 有權(quán) 時(shí)間: 2025-3-23 23:28
,Fuzzy Transform on?1-D Manifolds,In this contribution, we establish a connection between a well-known mathematical structure called a manifold and a fuzzy partitioned space. We extend the apparatus of the theory of fuzzy (F-) transforms to 1-dimensional manifolds and thus make the first step in constructing data-driven F-transforms.作者: Metastasis 時(shí)間: 2025-3-24 02:34 作者: harrow 時(shí)間: 2025-3-24 09:45 作者: 角斗士 時(shí)間: 2025-3-24 12:49
https://doi.org/10.1007/978-3-031-08580-2Computational Intelligence; Biomedical Applications; Soft Computing; AI; Intelligent Technologies作者: 知識(shí) 時(shí)間: 2025-3-24 15:16 作者: 新義 時(shí)間: 2025-3-24 20:04 作者: incisive 時(shí)間: 2025-3-25 01:58 作者: Antigen 時(shí)間: 2025-3-25 06:54
The Mondego River and Its Valley shift in various revolutionary scenarios, such as smart cities, eHealth, or eGovernment. Blockchain has a wide variety of applications in healthcare that can enhance mobile health applications, tracking devices, exchanging, and storing electronic medical records, clinical trial data, and insurance 作者: 大方一點(diǎn) 時(shí)間: 2025-3-25 07:30
Delminda Moura,Sónia Oliveira,Tomasz BoskiEmpirically, these functions work better than any other nonlinear functions that have been tried. In this paper, we provide a possible theoretical explanation for this empirical fact. This explanation is based on the fact that one of the main applications of neural networks is decision making, when 作者: Hirsutism 時(shí)間: 2025-3-25 14:37
Colin K. Ballantyne,John E. Gordonrent activity, and then to switch back and resume the current task. On the other hand, after each switch, we need some time to get back to the original productivity. As a result, too frequent switches are also counterproductive. Natural questions are: shall we switch? if yes, when? In this paper, we作者: Mortal 時(shí)間: 2025-3-25 18:34 作者: 報(bào)復(fù) 時(shí)間: 2025-3-25 23:50 作者: 沒(méi)有準(zhǔn)備 時(shí)間: 2025-3-26 00:07 作者: STENT 時(shí)間: 2025-3-26 07:02 作者: 不法行為 時(shí)間: 2025-3-26 10:37 作者: inferno 時(shí)間: 2025-3-26 13:57 作者: 殖民地 時(shí)間: 2025-3-26 17:21 作者: Alpha-Cells 時(shí)間: 2025-3-26 22:30
Isabelle G?rtner-Roer,Martin Hoelzlein ., where . in . and . is the set of continuous circular subdomains. The computational domain . is discretised by a uniform radial basis function grid nodes. The solution of the given PDEs is assumed to vary over interior subdomains according to appropriate analytic functions (e.g. polynomials) th作者: 兇猛 時(shí)間: 2025-3-27 02:13
Christian Schlüchter,Hans Lozza,Ruedi Hallerment is affected by rapid collisions due to density fluctuation of the air and also by air flows. It is necessary to have a stochastic scheme for numerical simulations to take into account these random movements. In this research work, a stochastic differential equation (e.g. Langevin equation) is i作者: 沒(méi)有希望 時(shí)間: 2025-3-27 06:39 作者: machination 時(shí)間: 2025-3-27 12:53
The Physical Geography of Turkey: An OutlineFollowing inference approach, we address the representation of features of medical images and class distribution as a comprehensive study of how symptoms of COVID-19 in chest X-ray images can be detected. The method extracts distinct features using a convolutional neural network that allows explorin作者: 污點(diǎn) 時(shí)間: 2025-3-27 16:42
The Lake Basins of South-west Anatoliathe breast cancer X-Ray image dataset provided by radiologists of the Hanoi Medical University Hospital to generating patches with Normal, Benign and Malignant categories. After that we train the ResNet 34 model on the breast cancer X-Ray patches dataset for classifying Normal, Benign and Malignant 作者: 思鄉(xiāng)病 時(shí)間: 2025-3-27 19:47 作者: voluble 時(shí)間: 2025-3-27 23:06
A Systematic Review of Privacy-Preserving Blockchain in e-Medicine, shift in various revolutionary scenarios, such as smart cities, eHealth, or eGovernment. Blockchain has a wide variety of applications in healthcare that can enhance mobile health applications, tracking devices, exchanging, and storing electronic medical records, clinical trial data, and insurance 作者: 偶像 時(shí)間: 2025-3-28 04:53 作者: 有說(shuō)服力 時(shí)間: 2025-3-28 08:17
,How to?Work? How to?Study? Shall We Cram for?the?Exams? and?How Is This Related to?Life on?Earth?,rent activity, and then to switch back and resume the current task. On the other hand, after each switch, we need some time to get back to the original productivity. As a result, too frequent switches are also counterproductive. Natural questions are: shall we switch? if yes, when? In this paper, we作者: GRAZE 時(shí)間: 2025-3-28 12:42 作者: Thyroxine 時(shí)間: 2025-3-28 16:02 作者: 有常識(shí) 時(shí)間: 2025-3-28 21:49 作者: 去世 時(shí)間: 2025-3-29 02:57
,Binary Image Classification Using Convolutional Neural Network for?V2V Communication Systems,omous vehicles. Vehicular communication is a research direction of data transmission between autonomous vehicles based on a communication system called a vehicular optical communication camera (VOCC). Thanks to the VOCC system, the vehicles transfer information about the position, direction, speed, 作者: Exploit 時(shí)間: 2025-3-29 03:17 作者: Benign 時(shí)間: 2025-3-29 07:28
Shop Product Tracking and Early Fire Detection Using Edge Devices,aints on power and resources that make edge device applications different from conventional applications. This paper proposes an architecture for tracking shop products and detecting early fire detection using computer vision that can be implemented in edge devices. Experimental results showed that 作者: 得罪 時(shí)間: 2025-3-29 11:55
SDNs Delay Prediction Using Machine Learning Algorithms,learning to predict the connection delay value between two devices in traditional networks. However, there is little research using Software-Defined Networks (SDNs) because of the lack of SDNs traffic datasets. A method for collecting SDNs traffic data with delay values is proposed in this manuscrip作者: 過(guò)分自信 時(shí)間: 2025-3-29 15:54 作者: –LOUS 時(shí)間: 2025-3-29 19:54 作者: ABASH 時(shí)間: 2025-3-30 00:44
Disease Diagnosis Based on Symptoms Description,However, a relatively large number of Vietnamese people usually avoid going to the hospital as they are afraid of long waits at such crowded places, while the current COVID-19 pandemic means being at those places poses a higher risk of contracting the disease. For simpler health problems, people wou作者: Lipoma 時(shí)間: 2025-3-30 08:08
Chest X-Ray Image Analysis with ResNet50, SMOTE and SafeSMOTE,Following inference approach, we address the representation of features of medical images and class distribution as a comprehensive study of how symptoms of COVID-19 in chest X-ray images can be detected. The method extracts distinct features using a convolutional neural network that allows explorin作者: 顛簸下上 時(shí)間: 2025-3-30 09:00 作者: 雜色 時(shí)間: 2025-3-30 13:39 作者: harpsichord 時(shí)間: 2025-3-30 16:51 作者: 等待 時(shí)間: 2025-3-30 23:36 作者: 諄諄教誨 時(shí)間: 2025-3-31 02:15 作者: encomiast 時(shí)間: 2025-3-31 08:09
,Binary Image Classification Using Convolutional Neural Network for?V2V Communication Systems,and future behavior. In addition, the power of the deep learning network-based proposed algorithm improves the VOCC system to gain the accuracy of image processing from the acquisition of signals from autonomous vehicles. Experimental results show that the proposed algorithm achieves high performance on image signals with difficult conditions.作者: 法律 時(shí)間: 2025-3-31 09:49
SDNs Delay Prediction Using Machine Learning Algorithms,t. In addition, this paper also evaluates different learning algorithms for SDNs delay prediction using the collected data. Experimental results showed that the Bidirectional LSTM had the lowest losses and the Recurrent Neural Networks had the shortest inference time.作者: Serenity 時(shí)間: 2025-3-31 16:41
,A Linear Neural Network Approach for?Solving Partial Differential Equations on?Porous Domains,at are predefined in order to satisfy the inner boundary conditions and their first and second derivatives (i.e. .-continuous). Several boundary-value and initial-value problems, some of which have exact solutions, are considered to validate the proposed technique.作者: FUSC 時(shí)間: 2025-3-31 19:23
1860-949X ues and their biomedical applications.Written by experts in .This book describes current and potential use of artificial intelligence and computational intelligence techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray image作者: Acupressure 時(shí)間: 2025-3-31 22:43 作者: 忍耐 時(shí)間: 2025-4-1 05:30
Colin K. Ballantyne,John E. Gordonl productivity. As a result, too frequent switches are also counterproductive. Natural questions are: shall we switch? if yes, when? In this paper, we use a simple model to provide approximate answers to these questions.作者: LINES 時(shí)間: 2025-4-1 09:13
Luis Somoza,Inmaculada Rodríguez-Santallaking shop products and detecting early fire detection using computer vision that can be implemented in edge devices. Experimental results showed that the proposed architecture could be a feasible application that can be deployed to support staff in retail stores.作者: 迅速成長(zhǎng) 時(shí)間: 2025-4-1 13:45
Christian Schlüchter,Hans Lozza,Ruedi Hallerrical simulations to take into account these random movements. In this research work, a stochastic differential equation (e.g. Langevin equation) is incorporated into the velocities field to simulate the movement of airborne particles immersed in air flows and see how it interacts with the fibre matrices to improve air filtration performance.作者: 輕快帶來(lái)危險(xiǎn) 時(shí)間: 2025-4-1 15:53 作者: conspicuous 時(shí)間: 2025-4-1 22:17
,Question-Answering System over?Knowledge Graphs Using Analogical-Problem-Solving Approach,e system works over open-domain Knowledge Graphs on the Web. In addition, . can generate linguistic summaries to answer questions whose answers contain large amounts of numerical values. This system is accessible at ..
