標(biāo)題: Titlebook: Deep Learning Applications in Image Analysis; Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Book 2023 The Editor(s) (if applicable) a [打印本頁(yè)] 作者: Coarse 時(shí)間: 2025-3-21 19:28
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書(shū)目名稱Deep Learning Applications in Image Analysis影響因子(影響力)學(xué)科排名
書(shū)目名稱Deep Learning Applications in Image Analysis網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Deep Learning Applications in Image Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Deep Learning Applications in Image Analysis被引頻次
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書(shū)目名稱Deep Learning Applications in Image Analysis讀者反饋
書(shū)目名稱Deep Learning Applications in Image Analysis讀者反饋學(xué)科排名
作者: 牛的細(xì)微差別 時(shí)間: 2025-3-21 23:54
Deep Learning-Based Approaches Using Feature Selection Methods for Automatic Diagnosis of COVID-19 nents and hundreds of countries, will go down in history as the first pandemic produced by coronaviruses. The World Health Organization (WHO) classified COVID-19 as a “pandemic” on March 11, 2020. To avoid the future spread of this pandemic and to promptly treat infected patients, it is crucial to f作者: OPINE 時(shí)間: 2025-3-22 03:03 作者: ensemble 時(shí)間: 2025-3-22 05:23 作者: FISC 時(shí)間: 2025-3-22 10:39 作者: orthodox 時(shí)間: 2025-3-22 12:54 作者: orthodox 時(shí)間: 2025-3-22 18:53
Plant Diseases Classification Using Neural Network: AlexNet,lution and not even budget friendly. To provide all the farmers and cultivators with smartphones with internet access, we could reduce the food loss in the country. In this chapter we have covered how deep learning can be used to make an image classifier based on AlexNet. The trained weight is then 作者: 幾何學(xué)家 時(shí)間: 2025-3-23 00:41
Hyperspectral Images: A Succinct Analytical Deep Learning Study,lications to global safety issues with core concepts of classification, segmentation, anomaly detection and prediction. The use of DL on satellite images and to achieve best performance, the research is swiftly trending from traditional machine learning to deep learning approaches..In this chapter, 作者: overbearing 時(shí)間: 2025-3-23 02:37 作者: 開(kāi)玩笑 時(shí)間: 2025-3-23 06:53
Deep Learning-Based Approaches Using Feature Selection Methods for Automatic Diagnosis of COVID-19 AY images and reduce the number of house gray tones The application of artificial intelligence and machine learning techniques to radiological images helps to detect this disease accurately and quickly. In this study, 13 different deep learning techniques were studied using Chi-square, NCA, mRMR and作者: 裙帶關(guān)系 時(shí)間: 2025-3-23 13:17 作者: Decongestant 時(shí)間: 2025-3-23 17:44
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images,core, specificity, confusion matrix, ROCcurve, and AUROC, with better improvement achieved?in multi-label classification. The best AUROC and overall accuracy were found to be around 1.00 and 99.51%, respectively, for binary classification whereas these were around 0.99 and 94.42%, respectively, in c作者: 抵押貸款 時(shí)間: 2025-3-23 18:29 作者: 該得 時(shí)間: 2025-3-24 01:23 作者: 匍匐 時(shí)間: 2025-3-24 03:34 作者: OCTO 時(shí)間: 2025-3-24 07:42 作者: radiograph 時(shí)間: 2025-3-24 12:22
P. A. Lakshminarayanan,Avinash Kumar Agarwalte image. Along with that, we demonstrate how the combination of 3D-CNNs and 2D-CNN play its significance in extracting the characteristics of spectral and spatial features of HI, in addition to the Principal Component Analysis (PCA) based spectral band isolations [.]. The role of SFCN or spinal net作者: laxative 時(shí)間: 2025-3-24 16:15 作者: Alopecia-Areata 時(shí)間: 2025-3-24 22:33 作者: BRINK 時(shí)間: 2025-3-24 23:10 作者: POWER 時(shí)間: 2025-3-25 03:44 作者: thalamus 時(shí)間: 2025-3-25 10:49 作者: Asymptomatic 時(shí)間: 2025-3-25 15:40
2197-6503 ons in medical, satellite, forensic image analysis.DemonstraThis book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algor作者: NAV 時(shí)間: 2025-3-25 18:07 作者: 講個(gè)故事逗他 時(shí)間: 2025-3-25 21:14
Klaus-Dieter Schewe,Bernhard Thalheimia using Image Recognition based deep learning algorithms. This chapter aims to solve this problem using novel machine learning frameworks involving the Efficient-Net and InceptionV3 algorithms to achieve this goal. Our proposed models have achieved an accuracy of 92.93% via the InceptionV3 model and 95.39% via the EfficientNet model.作者: conceal 時(shí)間: 2025-3-26 03:49
Book 2023hat can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten 作者: 極微小 時(shí)間: 2025-3-26 04:27
https://doi.org/10.1007/978-1-349-02787-3ins five types of captions. At first, we extracted features from the images using CNN. Subsequently these features are trained through transfer learning. Subsequently a RNN is used as a decoder for generating the language text. The trained model performs better for other datasets also.作者: Receive 時(shí)間: 2025-3-26 11:05 作者: 笨拙的我 時(shí)間: 2025-3-26 15:02
Polymorphism in Carbons and Parent Materialse balanced datasets, ResNet-50 has yielded 97.95% and 97.92% test accuracy, respectively whereas the test accuracy on the original dataset has been 97.63%. These methods can help us to obtain a robust Bangla handwritten classifier.作者: 致敬 時(shí)間: 2025-3-26 20:50
https://doi.org/10.1007/978-1-349-02787-3y tracing based on video surveillance in public places, and show how it can be used in different scenarios ranging from individual contact tracing or epidemiological surveillance of crowds to the improved public spaces planning.作者: 草率女 時(shí)間: 2025-3-26 23:34 作者: Hypomania 時(shí)間: 2025-3-27 02:42 作者: antecedence 時(shí)間: 2025-3-27 05:19
Deep Learning Applications in Image Analysis978-981-99-3784-4Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: 思想靈活 時(shí)間: 2025-3-27 10:45
Polymorphism in Carbons and Parent Materialss is also no different than that. This chapter has addressed these two aspects of a large Bangla handwritten characters dataset. An Autoencoder-based model has been proposed to perform outlier detection. After removing the outliers, the deep convolutional generative adversarial network (DCGAN) has b作者: 猛烈責(zé)罵 時(shí)間: 2025-3-27 14:28 作者: lattice 時(shí)間: 2025-3-27 19:31
https://doi.org/10.1007/978-1-349-02787-3his phenomena is related to field of computer vision for object identification and natural language processing (NLP) for representation as well. In this research, we proposed a model which employs transfer learning approach to generate a caption from an input image. To train our model, we used Flick作者: Gullible 時(shí)間: 2025-3-28 00:59
https://doi.org/10.1007/978-1-349-02787-3to implement a system known as vehicle over-speed detection at a low cost to identify and warn the vehicles that are travelling at more than the prescribed speed limits. The speed limit on the roadways depends on the type of vehicle. In our proposed system, every toll booth has been fitted with a ca作者: pacifist 時(shí)間: 2025-3-28 04:17
https://doi.org/10.1007/978-1-349-02787-3wide. Rapid deployment of various technological solutions early in the course of the pandemic, especially in the context of digital epidemiological surveillance and contact tracing, is associated with a number of success stories leading to the rapid suppression of community transmission and reductio作者: 牲畜欄 時(shí)間: 2025-3-28 06:22 作者: 會(huì)犯錯(cuò)誤 時(shí)間: 2025-3-28 11:37 作者: Budget 時(shí)間: 2025-3-28 17:58
P. A. Lakshminarayanan,Avinash Kumar Agarwallications to global safety issues with core concepts of classification, segmentation, anomaly detection and prediction. The use of DL on satellite images and to achieve best performance, the research is swiftly trending from traditional machine learning to deep learning approaches..In this chapter, 作者: Conflagration 時(shí)間: 2025-3-28 19:35
Klaus-Dieter Schewe,Bernhard Thalheimtion from air. It is one of the leading causes of death globally, reaching up-to 100,000 deaths caused by it globally. It is historically been challenging to identify this illness just by looking at chest X-rays. This study aims to smoothen the process of efficiently and accurately detecting pneumon作者: Instantaneous 時(shí)間: 2025-3-28 23:54 作者: 熱心 時(shí)間: 2025-3-29 06:30 作者: 發(fā)電機(jī) 時(shí)間: 2025-3-29 09:13
Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Reviews exhaustively the key recent research into deep learning applications in image analysis.Covers many different deep learning applications in medical, satellite, forensic image analysis.Demonstra作者: elucidate 時(shí)間: 2025-3-29 12:26
