標題: Titlebook: Intelligent Learning for Computer Vision; Proceedings of Congr Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 20 [打印本頁] 作者: Malnutrition 時間: 2025-3-21 16:18
書目名稱Intelligent Learning for Computer Vision影響因子(影響力)
書目名稱Intelligent Learning for Computer Vision影響因子(影響力)學科排名
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書目名稱Intelligent Learning for Computer Vision網(wǎng)絡公開度學科排名
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書目名稱Intelligent Learning for Computer Vision被引頻次學科排名
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書目名稱Intelligent Learning for Computer Vision年度引用學科排名
書目名稱Intelligent Learning for Computer Vision讀者反饋
書目名稱Intelligent Learning for Computer Vision讀者反饋學科排名
作者: 蘑菇 時間: 2025-3-21 20:34 作者: 漂亮 時間: 2025-3-22 02:47 作者: 嫻熟 時間: 2025-3-22 06:20
Lecture Notes on Data Engineering and Communications Technologieshttp://image.papertrans.cn/i/image/469793.jpg作者: happiness 時間: 2025-3-22 08:55
https://doi.org/10.1007/978-981-33-4582-9Computer Vision; Robotics; Computational Intelligence; Convolutional Neural Network; CIS 2020; CIS Procee作者: 潛伏期 時間: 2025-3-22 13:04 作者: 美色花錢 時間: 2025-3-22 20:19 作者: 溫順 時間: 2025-3-22 22:37 作者: 慷慨不好 時間: 2025-3-23 03:11 作者: EXCEL 時間: 2025-3-23 05:53 作者: 全等 時間: 2025-3-23 11:44 作者: Interstellar 時間: 2025-3-23 15:19
2367-4512 d practitioners in academia and industryThis book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-ma作者: 遺傳 時間: 2025-3-23 19:20 作者: 洞穴 時間: 2025-3-24 00:05
Conference proceedings 2021mber 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like 作者: 粗糙濫制 時間: 2025-3-24 04:59 作者: Heresy 時間: 2025-3-24 06:36
An Improved Inception Layer-Based Convolutional Neural Network for Identifying Rice Leaf Diseases,CNN model. All the models are tested and compared by varying the learning rate of 0.01, 0.001, 0.0001 and using different optimizers such as SGD and Adam. The proposed I-CNN achieved the highest accuracy of 81.25%, whereas the best accuracies of AlexNet and VGG16 are 72.5 and 62.5%, respectively.作者: 喧鬧 時間: 2025-3-24 12:26
Designing Controller Parameter of Wind Turbine Emulator Using Artificial Bee Colony Algorithm,a WTE. The parameters of PI controller installed in WTE are designed using artificial bee colony algorithm (ABC) algorithm. The ABC is selected as it is performing well to solve design optimization problems.作者: avenge 時間: 2025-3-24 16:43 作者: Irrigate 時間: 2025-3-24 20:24 作者: MELON 時間: 2025-3-25 01:52
Comparative Study of Supervised Machine Learning Algorithms for Healthcare Dataset Using Orange,Bayes algorithm shown better results as compared to other algorithms of average accuracy of 81.23% and 79.65%. Support vector machine does not fit with these types of classification and performed accuracy of 56.34%. As an inference, SVM should not be implemented on such classification problems.作者: 新義 時間: 2025-3-25 06:35
Development of Inter-ethnic Harmony Search Algorithm Based on Inter-ethnic Reconciliation,solution stagnation), various improved versions of HS developed to overcome these drawbacks. In this study, a new improved HS is proposed called inter-ethnic harmony search (IeHS). IeHS is developed to mimic the concept of the reconciliation of various ethnicities from Turkish history, and this algo作者: 完整 時間: 2025-3-25 11:19
A Low-Cost Embedded Computer Vision System for the Classification of Recyclable Objects,e present a novel solution to this inefficiency, by the use of embedded computer vision (CV) in the material recovery facilities (MRF). The proposed architecture employs software (i.e., TensorFlow and OpenCV) and hardware (i.e., Raspberry Pi) as an embedded platform in order to classify daily life o作者: Lipoprotein(A) 時間: 2025-3-25 14:47
An Optimal Feature Selection Approach Using IBBO for Histopathological Image Classification,x image background and morphological variations these images generate very large feature vectors which make the automated classification task difficult. Therefore,?in this paper,?a new feature selection method based on improved biogeography-based optimization algorithm is proposed to select the prom作者: Debility 時間: 2025-3-25 16:56
Accuracy Evaluation of Plant Leaf Disease Detection and Classification Using GLCM and Multiclass SVd of crop drops due to contagions instigated by numerous types of illnesses on parts of the houseplant. Leaf illnesses are principally instigated by fungi, bacteria, virus, etc. Verdict of the illness would be completed precisely and suitable activities should be occupied at the suitable period. Ima作者: Anhydrous 時間: 2025-3-25 23:00
A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Moob. The examination quality is also directly related to the experience and the personal factors, i.e., stress, fatigue, etc., of the dental care providers. To assist them handling this problem, a residual network-based deep learning technique, i.e., faster R-CNN technique, is proposed in this study.作者: 欺騙手段 時間: 2025-3-26 03:34 作者: FILTH 時間: 2025-3-26 06:08 作者: Customary 時間: 2025-3-26 09:32
Multi-class Support Vector Machine-Based Household Object Recognition System Using Features Supportblem is addressed with a three-stage mechanism. In the initial stage using PCL, the object image undergoes segmentation methods which make the image suitable for extracting the features. In the second stage, a segmented image is used to extract suitable shape-based features that can separate each ob作者: 新鮮 時間: 2025-3-26 15:30
Initialization of MLP Parameters Using Deep Belief Networks for Cancer Classification, neural networks which are formed by a visible and hidden layer, respectively. Each visible layer receives a lower-level feature set learned by previous RBM and passes it through to top layers turning them into a more complex feature structure. In this study, the proposed method is to feed the train作者: 繞著哥哥問 時間: 2025-3-26 17:46 作者: 發(fā)怨言 時間: 2025-3-26 21:12
Design and Implementation of Traffic Sign Classifier Using Machine Learning Model,e. One of the important advancements took place in development of autonomous cars. It was one of the long-standing points of research for scientists. The crucial components of any autonomous car are being able to recognize traffic signs. Traffic signs serve as the non-verbal communication channel on作者: Gudgeon 時間: 2025-3-27 02:57 作者: legitimate 時間: 2025-3-27 05:30
Text Document Orientation Detection Using Convolutional Neural Networks,by documents in one or another way. In this paper, our emphasis is on the more challenging task of identifying and correcting the disorientation of general text documents back to normal orientation. Our work aims to solve the real-world problem of orientation detection of documents in PDF forms whic作者: CHECK 時間: 2025-3-27 13:21 作者: 消極詞匯 時間: 2025-3-27 16:58
Improved Image Super-resolution Using Enhanced Generative Adversarial Network a Comparative Study, convolutional neural networks-based models are becoming a favorite choice of researchers in image processing and analysis as it generates more accurate results compared to conventional methods. Recent works on image super-resolution have mainly focused on minimizing the mean squared reconstruction 作者: Opponent 時間: 2025-3-27 19:28
Comparative Study of Supervised Machine Learning Algorithms for Healthcare Dataset Using Orange,omputer algorithms that is used for identifying the hidden pattern and forecasting. In this paper, seven supervised machine learning algorithms are compared with three datasets of heart disease patients, diabetes patients, and depression patients. These seven algorithms are decision tree, logistic r作者: NEG 時間: 2025-3-28 00:22 作者: 聲明 時間: 2025-3-28 03:45
IoT Security: A Survey of Issues, Attacks and Defences,nnecting IoT devices to the Internet, IoT security becomes the important issue.?In this paper, we explain the recent case studies of attacks on IoT devices and network along with vulnerabilities behind each attack. We enlist reasons behind these attacks along with preventive measures to make the IoT作者: Myofibrils 時間: 2025-3-28 09:10
Detecting the Nuclei in Different Pictures Using Region Convolutional Neural Networks, comprises about 30 trillion cells and each of them encompasses a nucleus, which is brimming with DNA, the hereditary code that programs every cell. Recognizing nuclei enables researchers to distinguish every individual cell under investigation, and by estimating how cells respond to different medic作者: Enervate 時間: 2025-3-28 11:36
Hyun Woo Jung,Young Hwan Choi,Donghwi Jung,Joong Hoon Kim作者: 擺動 時間: 2025-3-28 17:43
Mukesh Saraswat,Raju Pal,Roop Singh,Himanshu Mittal,Avinash Pandey,Jagdish Chand Bansal作者: nuclear-tests 時間: 2025-3-28 21:46
K. Rajiv,N. Rajasekhar,K. Prasanna Lakshmi,D. Srinivasa Rao,P. Sabitha Reddy作者: Hdl348 時間: 2025-3-28 23:19 作者: Minutes 時間: 2025-3-29 05:20 作者: cajole 時間: 2025-3-29 09:12 作者: Panacea 時間: 2025-3-29 14:33
Ajay Sharma,Harish Sharma,Ashish Khandelwal,Nirmala Sharma作者: dominant 時間: 2025-3-29 16:43
B. V. Balaji Prabhu,Omkar Subburao Jois Narasipura作者: unstable-angina 時間: 2025-3-29 23:21 作者: acetylcholine 時間: 2025-3-30 00:29
Accuracy Evaluation of Plant Leaf Disease Detection and Classification Using GLCM and Multiclass SVtended to support in the identifying and categorizing plant leaf illnesses using multiclass support vector machine (SVM) classification method. First, input image acquisition, second, preprocessing of images, third, segmentation for discovering the affected region from the leaf images by utilizing K作者: 分開如此和諧 時間: 2025-3-30 06:17
A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Moumbering system is proposed that has the same number of category, (ii) 8-category MPN system is less complex to implement than 32-category universal tooth numbering (UTN) system, and with some preprocessing steps, MPN system can be converted into 32-category UTN system, and finally (iii) for the con作者: Heart-Rate 時間: 2025-3-30 09:17 作者: Arresting 時間: 2025-3-30 14:26
Text Document Orientation Detection Using Convolutional Neural Networks,more robust and explainable as it works at page level with text documents. Also, we have accelerated to a different level with proper explanation and interpretability. The proposed approach runs progressively in real time and, in this manner, can be applied to various organizations as well.作者: 光滑 時間: 2025-3-30 17:08
,Maximum Power Point Tracking of?Photovoltaic System Using Artificial Neural Network,d the results of this technique are compared with the conventional “P and O” method. The complete model is simulated in MATLAB/Simulink software. The results obtained through ANN technique are quite satisfying, and it is found that this MPPT offers better result than conventional “P and O” method.作者: 組成 時間: 2025-3-31 00:25
Detecting the Nuclei in Different Pictures Using Region Convolutional Neural Networks,proving this algorithm specifically for detecting microscopic nuclei in images which varies in size and modality. Our dataset contains large number of nuclei images which were gained under varied conditions such as different imaging methodology (brightfield versus fluorescence), type of cells and ma作者: 一再困擾 時間: 2025-3-31 01:21 作者: Mawkish 時間: 2025-3-31 06:27
Are Soils Taken into Consideration by the IPBES Assessment on Land Degradation and Restoration?ment will also bring new perspectives for the definition of indicators for soils. Eventually, the IPBES assessment could contribute to a better collaboration between institutions and international conventions, such as the Convention and Biodiversity and the Convention to combat desertification.作者: MERIT 時間: 2025-3-31 11:12 作者: malign 時間: 2025-3-31 15:29 作者: APEX 時間: 2025-3-31 19:09 作者: 錢財 時間: 2025-4-1 00:00
cially appealing to anyone concerned with environmental conflicts; and also to students in environmental studies, political science, and conflictresolution, and to academics and professionals in mediation and conflict resolution fields..978-1-61091-412-3作者: 必死 時間: 2025-4-1 04:14
W?rterbuch Labor / Laboratory Dictionaryfende Verwendung von gleichen Bauteilen aus Bauk?sten (Kapitel 5) heute alleine nicht mehr aus, um die Unumkehrbarkeit gro?er Investitionen zu demonstrieren und die Wettbewerber von Ma?nahmen abzuhalten, die die eigene Profitabilit?t beeintr?chtigen. Alle Automobilunternehmen investieren auch in L?n作者: caldron 時間: 2025-4-1 06:19
Einleitung,oduzieren und exportieren zu k?nnen und damit den Wohlstand des Landes zu sichern. Dies ist umso mehr als Herausforderung zu werten, da die wachsende Weltbev?lkerung sowie der gestiegene Lebensstandard in Schwellen- und Entwicklungsl?ndern mit weltweit steigendem Rohstoffbedarf einhergehen. So hat s作者: AROMA 時間: 2025-4-1 12:23
ry of motion), 2D–3D image orientation (or space resection or camera calibration) and 3D–3D absolute orientation (3D similarity transformation) are discussed in detail. For all of them iterative and general closed-form direct solution procedures are available although at different levels of compactn