標題: Titlebook: Intelligent Computing: Image Processing Based Applications; J. K. Mandal,Soumen Banerjee Book 2020 Springer Nature Singapore Pte Ltd. 2020 [打印本頁] 作者: hexagon 時間: 2025-3-21 19:03
書目名稱Intelligent Computing: Image Processing Based Applications影響因子(影響力)
書目名稱Intelligent Computing: Image Processing Based Applications影響因子(影響力)學科排名
書目名稱Intelligent Computing: Image Processing Based Applications網絡公開度
書目名稱Intelligent Computing: Image Processing Based Applications網絡公開度學科排名
書目名稱Intelligent Computing: Image Processing Based Applications被引頻次
書目名稱Intelligent Computing: Image Processing Based Applications被引頻次學科排名
書目名稱Intelligent Computing: Image Processing Based Applications年度引用
書目名稱Intelligent Computing: Image Processing Based Applications年度引用學科排名
書目名稱Intelligent Computing: Image Processing Based Applications讀者反饋
書目名稱Intelligent Computing: Image Processing Based Applications讀者反饋學科排名
作者: 連系 時間: 2025-3-21 20:18 作者: Extricate 時間: 2025-3-22 00:57
Koushik Dutta,Debotosh Bhattacharjee,Mita Nasipuristattfertigung auf einer elektronischen Rechenanlage simulieren wollen, k?nnen wir nicht mit solchen allgemein gehaltenen Begriffen arbeiten, sondern wir müssen vielmehr die technologischen und wirtschaftlichen Aspekte unseres Produktionsmodells ganz konkret und numerisch festlegen. Dabei ist es unu作者: affinity 時間: 2025-3-22 06:38 作者: set598 時間: 2025-3-22 11:55 作者: poliosis 時間: 2025-3-22 15:04 作者: BAIT 時間: 2025-3-22 21:06 作者: 美麗的寫 時間: 2025-3-22 21:52
A Review of Object Detection Models Based on Convolutional Neural Network,ed some popular state-of-the-art object detection models based on CNN. We have made a categorization of those detection models according to two different approaches: two-stage approach and one-stage approach. Herein, we have explored different gradual developments in two-stage object detection model作者: linguistics 時間: 2025-3-23 01:23
Cancerous Cell Detection Using Affine Transformation with Higher Accuracy and Sensitivity,sis. Accuracy, sensitivity and specificity of a few images are calculated for the affected cells, where results provide less confusion value of transformed images than the originals. Authenticity of the cell is investigated by computing true and false positive and negative rates. Difference in maxim作者: 正常 時間: 2025-3-23 08:17 作者: 繞著哥哥問 時間: 2025-3-23 13:27 作者: Oligarchy 時間: 2025-3-23 17:37
Image Denoising Using Generative Adversarial Network,cessing-based research. Therefore, image denoising is a critical area of research. In the recent advancement of computer vision, deep learning becomes most powerful tool. Deep learning is solving most of the problems, usually, which were earlier solved by various conventional techniques. The progres作者: BRIEF 時間: 2025-3-23 19:11
Deep Learning-Based Lossless Audio Encoder (DLLAE),ss audio encoder has been designed with the help of deep learning technique, followed by entropy encoding to generate compressed encoded data. Nine hidden layers have been considered in the proposed network for the present encoding framework. Experimental results are shown with statistical parameter作者: 畏縮 時間: 2025-3-24 01:08 作者: oblique 時間: 2025-3-24 05:32 作者: 脫水 時間: 2025-3-24 09:10 作者: 緊張過度 時間: 2025-3-24 12:47 作者: INCH 時間: 2025-3-24 17:20 作者: LEVER 時間: 2025-3-24 21:42
Swarnava Sadhukhan,Siddhartha Mallick,Pawan Kumar Singh,Ram Sarkar,Debotosh Bhattacharjeea? diese Einschr?nkungen und Vereinfachungen die Anwendbarkeit und Allgemeingültigkeit unserer Ergebnisse nicht wesentlich beeintr?chtigen. In den nachfolgenden Abschnitten legen wir die Annahmen, die wir über die Werkstatt und die Auftragssysteme gemacht haben, im einzelnen dar und begründen sie so作者: frivolous 時間: 2025-3-25 01:02
Koushik Dutta,Debotosh Bhattacharjee,Mita Nasipuria? diese Einschr?nkungen und Vereinfachungen die Anwendbarkeit und Allgemeingültigkeit unserer Ergebnisse nicht wesentlich beeintr?chtigen. In den nachfolgenden Abschnitten legen wir die Annahmen, die wir über die Werkstatt und die Auftragssysteme gemacht haben, im einzelnen dar und begründen sie so作者: 破裂 時間: 2025-3-25 04:45 作者: Interferons 時間: 2025-3-25 10:59 作者: Calculus 時間: 2025-3-25 13:38 作者: 幸福愉悅感 時間: 2025-3-25 16:41
A Comparative Study of Different Feature Descriptors for Video-Based Human Action Recognition,ndant features and assigning weights to the features left after elimination. Finally, the performance of the said feature descriptors on three standard benchmark video datasets . KTH, HMDB51, and UCF11 has been analyzed.作者: languid 時間: 2025-3-25 22:24 作者: 藐視 時間: 2025-3-26 02:43
Image Denoising Using Generative Adversarial Network,g techniques are highlighted. Then, we state the underlying architecture of GAN and its modifications. Then, we discuss the way GANs are applied in the area of image denoising. We survey all recent works of GANs in image denoising and categories those work according to the type of input images. In t作者: Decongestant 時間: 2025-3-26 07:33 作者: flex336 時間: 2025-3-26 11:58
An Optimized Intelligent Dermatologic Disease Classification Framework Based on IoT, vital role. In this work, an optimized classification method is proposed that can be useful in performing automated classification job in the limited infrastructure of the IoT environment. The input features are optimized in such a way so that it can be useful in faster and accurate classification 作者: 外向者 時間: 2025-3-26 12:38
Transfer Learning Coupled Convolution Neural Networks in Detecting Retinal Diseases Using OCT Imageous diseases. The training accuracies obtained for the six architectures, viz. four convolutional layer deep CNNs, VGG (VGG-16 and VGG-19) and Google’s Inception [Google’s Inception v3 (with or without transfer learning)], and Google’s Inception v4, are, respectively, 87.15%, 91.40%, 93.32%, 85.31%,作者: TAP 時間: 2025-3-26 19:07
Intelligent Computing: Image Processing Based Applications作者: 無可非議 時間: 2025-3-26 22:41 作者: HEED 時間: 2025-3-27 01:38 作者: 我沒有命令 時間: 2025-3-27 08:13 作者: hemorrhage 時間: 2025-3-27 10:36 作者: 人造 時間: 2025-3-27 16:23 作者: 消音器 時間: 2025-3-27 18:32 作者: Introvert 時間: 2025-3-27 23:04 作者: 泰然自若 時間: 2025-3-28 03:18 作者: ENNUI 時間: 2025-3-28 08:41
2194-5357 age processing and image analytics.Covers a range of areas, .This book features a collection of extended versions of papers presented at OPTRONIX 2019, held at the University of Engineering & Management, Kolkata, India, on 18 – 20, March 2019. It includes research on the detection of skin disease, b作者: 尖叫 時間: 2025-3-28 12:27
https://doi.org/10.1007/978-981-15-4288-6Intelligent Computing; Image Processing; Artificial Neural Network; Intelligent Bio Computing; Security 作者: 情節(jié)劇 時間: 2025-3-28 14:34
978-981-15-4287-9Springer Nature Singapore Pte Ltd. 2020作者: 得意人 時間: 2025-3-28 22:06
Intelligent Computing: Image Processing Based Applications978-981-15-4288-6Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: 暴行 時間: 2025-3-29 01:40
J. K. Mandal,Soumen BanerjeePresents the latest trends in image-processing-based applications.Discusses intelligent decision-making-based neuro-fuzzy applications in image processing and image analytics.Covers a range of areas, 作者: Nonthreatening 時間: 2025-3-29 05:14
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/i/image/469537.jpg作者: 逢迎白雪 時間: 2025-3-29 08:16 作者: 痛恨 時間: 2025-3-29 14:20 作者: Conserve 時間: 2025-3-29 15:37 作者: 結束 時間: 2025-3-29 21:51
Information Security: Going Digital (Invited Lecture)d in going digital. Society and science are going digital. For the sciences, this digitalization process invokes an emerging model of the science of design that incorporates the assembly of information systems from a wide variety of platform ecosystems. According to principles of bounded rationality
