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標(biāo)題: Titlebook: Health Informatics: A Computational Perspective in Healthcare; Ripon Patgiri,Anupam Biswas,Pinki Roy Book 2021 The Editor(s) (if applicabl [打印本頁]

作者: ETHOS    時間: 2025-3-21 19:36
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書目名稱Health Informatics: A Computational Perspective in Healthcare讀者反饋學(xué)科排名





作者: 溫和女人    時間: 2025-3-21 21:56
Deep Learning-Based Medical Image Analysis Using Transfer Learning, to specific application needs. Either pre-trained models are fine-tuned on the underlying data or used as feature extractors. As these pertained models are already trained on large datasets, the accurate set of generic features can be extracted to improve the overall performance and computational c
作者: 流浪    時間: 2025-3-22 01:49
Wearable Internet of Things for Personalized Healthcare: Study of Trends and Latent Research,ts of WIoT and ways in which it is a key driving technology behind the concept of personalized healthcare. It shall discuss the theoretical aspects of WIoT, focusing on functionality, design and applicability. Moreover, it shall also elaborate on the role of wearable sensors, big data and cloud comp
作者: sorbitol    時間: 2025-3-22 06:39

作者: 不愛防注射    時間: 2025-3-22 10:12

作者: maculated    時間: 2025-3-22 15:11

作者: painkillers    時間: 2025-3-22 18:53
Forecasting Probable Spread Estimation of COVID-19 Using Exponential Smoothing Technique and Basic m August 18, 2020 to August 29, 2020. These forecasted and estimated values show that Maharashtra will experience highest number of confirmed cases followed by Tamil Nadu, Andhra Pradesh, Uttar Pradesh, Delhi and West Bengal. Mizoram will experience least number of cases. This study can help the gov
作者: 造反,叛亂    時間: 2025-3-23 01:04

作者: Promotion    時間: 2025-3-23 05:24
,Detail Study of Different Algorithms for?Early Detection of Cancer,cer feature extraction, cancer features reduction (PCA, LDA, SVD). Also, it discusses different cancer classification using machine learning and clustering (SVM, KNN, Bayesian, Neuro fuzzy, k-mean algorithm, GANs etc.), deep learning (CNN, ResNet, VGG etc) technique, also discuss about different eva
作者: fatuity    時間: 2025-3-23 08:20

作者: Fibrin    時間: 2025-3-23 12:53

作者: 煩擾    時間: 2025-3-23 14:22
Deep Learning Techniques Dealing with Diabetes Mellitus: A Comprehensive Study,ired on these models along with their applications in various problem domains. This will help readers to understand their requirements in advancing health care. In this chapter, we have tried to cover each of the models and figure out how they handle various types of data in medical the domain and m
作者: 纖細(xì)    時間: 2025-3-23 20:26

作者: adroit    時間: 2025-3-24 01:02

作者: 不妥協(xié)    時間: 2025-3-24 05:35

作者: 過分自信    時間: 2025-3-24 10:32

作者: troponins    時間: 2025-3-24 13:05

作者: 邊緣帶來墨水    時間: 2025-3-24 15:55

作者: 摻和    時間: 2025-3-24 20:50
1860-949X vides rich insight into healthcare system.This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologi
作者: DEMUR    時間: 2025-3-25 01:13
nective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: thalamus    時間: 2025-3-25 03:41
Sabuzima Nayak,Ripon Patgirinective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: 精致    時間: 2025-3-25 10:45

作者: 噱頭    時間: 2025-3-25 12:24

作者: 暗語    時間: 2025-3-25 16:53

作者: FAR    時間: 2025-3-25 21:31

作者: 細(xì)頸瓶    時間: 2025-3-26 02:18

作者: 托運    時間: 2025-3-26 05:19

作者: 亞當(dāng)心理陰影    時間: 2025-3-26 09:39
Vijaya Yaduvanshi,R. Murugan,Tripti Goelnective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: 對手    時間: 2025-3-26 13:39

作者: 共同生活    時間: 2025-3-26 19:40

作者: 反叛者    時間: 2025-3-26 22:00
K. Shankar,A. Abudhahirnective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: Unsaturated-Fat    時間: 2025-3-27 01:17
Prasenjit Dhar,K. Suganya Devi,Satish Kumar Satti,P. Srinivasannective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: gimmick    時間: 2025-3-27 08:50
Arpit Kumar Sharma,Amita Nandal,Arvind Dhaka,Rahul Dixitnective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: 合乎習(xí)俗    時間: 2025-3-27 11:24
Brijendra Guptanective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: Shuttle    時間: 2025-3-27 16:00
Sujit Kumar Das,Pinki Roy,Arnab Kumar Mishranective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bounded homomorphisms and show that the spaces (B..). = (B.)., (B..).,... are the connected components of a nonconnective ω-spectrum B.(F) with ..B.(F) = K.(R) even for negative i.
作者: Stable-Angina    時間: 2025-3-27 19:10

作者: FORGO    時間: 2025-3-28 00:36
An Automatic Classification Methods in Oral Cancer Detection,e advancement of detection of infected regions. In addition, some best elementary approaches are also discussed to increase the recovery score. The goal is to increase the survival rate by diagnosing the oral cancer in less time duration and with more efficient detection methods which will be a significant step in the area of medical imaging.
作者: 正論    時間: 2025-3-28 05:31

作者: olfction    時間: 2025-3-28 08:25
Comparative Analysis of Various Deep Learning Algorithms for Diabetic Retinopathy Images,f image processing techniques like resizing, cropping, Gaussian blur method, feature extraction, etc. The result represents that VGG16 performed better with 77.49% accuracy compared to DenseNet and ResNet 50 for the detection of diabetic retinopathy.
作者: EWE    時間: 2025-3-28 14:23

作者: 愛社交    時間: 2025-3-28 15:01
Ripon Patgiri,Anupam Biswas,Pinki RoyDiscusses computing techniques of health informatics.Features new research findings, surveys, and case studies which benefit the readers.Provides rich insight into healthcare system
作者: 開始沒有    時間: 2025-3-28 21:22
Studies in Computational Intelligencehttp://image.papertrans.cn/h/image/424700.jpg
作者: Choreography    時間: 2025-3-28 23:59
Gender Aware CNN for Speech Emotion Recognition, lot of advancements have been in the machine learning front, so we performed a detailed analysis of features as well as model selection. Using the SAVEE dataset for initial work and RAVDESS dataset for final proposed system, the proposed system uses mel-frequency cepstral coefficient with SVM for gender bias and CNNs for emotion recognition.
作者: insular    時間: 2025-3-29 05:25

作者: champaign    時間: 2025-3-29 10:59

作者: Cougar    時間: 2025-3-29 12:08

作者: Baffle    時間: 2025-3-29 17:09
er the category . of free R-modules, or rather its classifying space B., as food for suitable infinite loop space machines. These machines produce connective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bo
作者: Alcove    時間: 2025-3-29 21:54
Sabuzima Nayak,Ripon Patgirier the category . of free R-modules, or rather its classifying space B., as food for suitable infinite loop space machines. These machines produce connective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bo
作者: 神經(jīng)    時間: 2025-3-30 02:52
Swati Shinde,Uday Kulkarni,Deepak Mane,Ashwini Sapkaler the category . of free R-modules, or rather its classifying space B., as food for suitable infinite loop space machines. These machines produce connective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bo
作者: erythema    時間: 2025-3-30 07:23

作者: occurrence    時間: 2025-3-30 11:24

作者: Devastate    時間: 2025-3-30 15:37
Nripendra Kumar Singh,Khalid Razaer the category . of free R-modules, or rather its classifying space B., as food for suitable infinite loop space machines. These machines produce connective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bo
作者: 否認(rèn)    時間: 2025-3-30 19:06

作者: 忍耐    時間: 2025-3-30 20:45

作者: 知道    時間: 2025-3-31 04:01

作者: 嫻熟    時間: 2025-3-31 07:26

作者: LIEN    時間: 2025-3-31 11:53

作者: Cabg318    時間: 2025-3-31 13:34
K. Shankar,A. Abudhahirer the category . of free R-modules, or rather its classifying space B., as food for suitable infinite loop space machines. These machines produce connective spectra whose zeroth space is (B.). = ZXBG1(R).. In this paper we consider categories ..(.) = ., ..(.),... of parametrized free modules and bo
作者: Blasphemy    時間: 2025-3-31 17:50

作者: Myocarditis    時間: 2025-4-1 00:08





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