標(biāo)題: Titlebook: Second International Conference on Image Processing and Capsule Networks; ICIPCN 2021 Joy Iong-Zong Chen,Jo?o Manuel R. S. Tavares,Ke-Li Co [打印本頁] 作者: 從未沮喪 時間: 2025-3-21 20:02
書目名稱Second International Conference on Image Processing and Capsule Networks影響因子(影響力)
書目名稱Second International Conference on Image Processing and Capsule Networks影響因子(影響力)學(xué)科排名
書目名稱Second International Conference on Image Processing and Capsule Networks網(wǎng)絡(luò)公開度
書目名稱Second International Conference on Image Processing and Capsule Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Second International Conference on Image Processing and Capsule Networks被引頻次
書目名稱Second International Conference on Image Processing and Capsule Networks被引頻次學(xué)科排名
書目名稱Second International Conference on Image Processing and Capsule Networks年度引用
書目名稱Second International Conference on Image Processing and Capsule Networks年度引用學(xué)科排名
書目名稱Second International Conference on Image Processing and Capsule Networks讀者反饋
書目名稱Second International Conference on Image Processing and Capsule Networks讀者反饋學(xué)科排名
作者: 寬度 時間: 2025-3-21 23:51 作者: 預(yù)防注射 時間: 2025-3-22 03:07 作者: alabaster 時間: 2025-3-22 06:33 作者: Infuriate 時間: 2025-3-22 11:32 作者: 焦慮 時間: 2025-3-22 14:15 作者: faddish 時間: 2025-3-22 19:33
Angela Maria Vinod,Dharathi Venkatesh,Dishti Kundra,N. Jayapandianlearning. Yet, it has been criticized for a number of shortcomings and specifically its lack of support for comprehensive adaptation features. We propose concrete extensions to the specification, which address a wide range of problems and omissions. The most important areas of modifications and amen作者: frenzy 時間: 2025-3-23 00:50 作者: motivate 時間: 2025-3-23 04:58 作者: pacific 時間: 2025-3-23 06:15 作者: 變異 時間: 2025-3-23 09:59
Malvika Rath,P. Sai Dinesh Reddy,Sanjay Kumar Singhction with the environment. These beliefs can be modelled in a formal way using .. The . and its associated . provide an intuitive semantics for these logics, but they seem to commit us to model agents that are . and .. These problems can be avoided with a syntactic view of possible worlds, defining作者: Omniscient 時間: 2025-3-23 14:15 作者: 骯臟 時間: 2025-3-23 18:03
S. Srinivasan,A. L. Vallikannu,V. Suryakiran,B. Sai Kalyan,T. Amarnathction with the environment. These beliefs can be modelled in a formal way using .. The . and its associated . provide an intuitive semantics for these logics, but they seem to commit us to model agents that are . and .. These problems can be avoided with a syntactic view of possible worlds, defining作者: Factual 時間: 2025-3-24 01:09
G. N. Chiranjeevi,Subhash Kulkarnius in the rules used. The agent must have a brain by which it can discover rules contained within the data. Because rules are the instruments by which agents change the environment, any adaptation of the rules can be considered as an evolution of the agents. Because uncertainty is present in every c作者: 文字 時間: 2025-3-24 04:52
Palak,A. L. Sangals regard is as follows..We formalized reasoning about concurrent actions inside the situation calculus framework which has the sufficiently clear and well-understood semantics to express different aspects of agent theory..Conclusions can be drawn by default about results of a group of concurrent act作者: farewell 時間: 2025-3-24 09:26
A. S. Sawant,S. S. Kulkarniy capability required for intelligent interaction. It involves monitoring the observable actions of other agents and inferring their unobserved actions, plans, goals and behaviors. This article examines the implications of such an agent tracking capability for agent architectures. It specifically fo作者: 定點 時間: 2025-3-24 14:15 作者: Meander 時間: 2025-3-24 18:20
Arvin David,Emmanuel Joy,Sathish Kumar,Sudhir John Bezaleelving hundreds, perhaps thousands of agents, and there is a pressing need for system modelling techniques that permit their complexity to be effectively managed, and principled methodologies to guide the process of system design. Without adequate techniques to support the design process, such systems作者: 積云 時間: 2025-3-24 19:13
Prajoy Podder,M. Rubaiyat Hossain Mondalving hundreds, perhaps thousands of agents, and there is a pressing need for system modelling techniques that permit their complexity to be effectively managed, and principled methodologies to guide the process of system design. Without adequate techniques to support the design process, such systems作者: Predigest 時間: 2025-3-25 02:06 作者: prolate 時間: 2025-3-25 05:53
A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition, A?Traffic Light Recognition System (TLRs) may help in the accurate detection of traffic lights using a hand-held mobile device. TLR helps in reduction of accidental mortality rates. It will also help improving transportation and mobility for old aged and differently-abled people. TLR system detects作者: 有抱負者 時間: 2025-3-25 10:46 作者: 脊椎動物 時間: 2025-3-25 13:24
An Evaluation of Multiclass Leaf Classification Using Transfer Learning Techniques, It is useful in the majority of the research areas and one among them is plant leaf classification. The significance of leaf classification is applicable in medicinal purposes, agricultural uses etc. and also for protecting the endangered ones. In this paper we proposed transfer learning techniques作者: 委派 時間: 2025-3-25 17:18
Scene Generated with Text Guidance (VAAB System),tomorrow the future generation has to be ethically and morally strong. This can be inculcated efficiently through the means of visualization. This can be achieved by the proposed system which uses Refined Novel Generative Adversarial Network. The proposed system is one of the applications of the Ref作者: inspired 時間: 2025-3-25 22:49 作者: 強有力 時間: 2025-3-26 02:21
Natural Disaster Prediction by Using Image Based Deep Learning and Machine Learning,gy-dependent. Nevertheless, the natural disasters cause great adversity by disrupting considerable human lives. Also, the disasters obstruct and affect many industries and services either directly or indirectly. Hence, it is necessary to study and observe data patterns and warning signs that lead to作者: 發(fā)起 時間: 2025-3-26 08:22
A Novel Multi-objective Differential Evolution Algorithm for Clustering Data Streams,ry effective field has been evolved called big data mining. The actual work of this process is to fetch various useful and effective patterns from this enormous amount of data. However, this work has been confined to the field of data stream clustering. In the field of data stream clustering, identi作者: 內(nèi)行 時間: 2025-3-26 12:14 作者: NIB 時間: 2025-3-26 16:24 作者: DENT 時間: 2025-3-26 19:31 作者: PARA 時間: 2025-3-26 22:08
Geospatial Object Detection for Scene Understanding Using Remote Sensing Images,cts from HSR remote sensing images is the first and foremost step in RS image analysis. There is a need to design effective techniques which are capable of identifying contextual refinements in RS images, to relate observations to both the scene and the real world. This paper presents a review of di作者: AND 時間: 2025-3-27 04:27
,Ant?spoofing Detection System for Online Classes and Online Meeting,s online, the genuine students grasp the essence of the subjects at the same time some students are trying to do some spoofing activity in the class or meeting though they are virtually available online. The spoofing may include that the students may not physically present in the class instead their作者: Intervention 時間: 2025-3-27 07:50
Pre-processing Block Hardware Architecture in Image Processing Using Reconfigurable Platform,paper aims at overcoming the offset needs for memory addressing in pre-processing blocks. Another feature of this present work is to appending the image data with customized algorithmic requiments viz duplicating, zero padding. For K?×?K kernel size, the proposed hardware architecture can be program作者: BOOM 時間: 2025-3-27 12:38 作者: COUCH 時間: 2025-3-27 16:11 作者: Salivary-Gland 時間: 2025-3-27 18:03
Optimal Sizing and Placement of Multiple DGs in Distribution Network to Reduce Total Loss Using Cucimize the the total system losses. The total system losses includes the resultant of real power loss and reactive power loss. The main aim of presented work is to minimize the system losses and also to enhance the system‘s voltage profile. This paper is made from the fact that DGs are more advantage作者: altruism 時間: 2025-3-27 23:20
Integrating Virtual Reality with 3D Modeling for Interactive Architectural Visualization and Photor, and to address the problems of traditional methods specifically in terms of interactivity and visualization. We present our prototype that incorporates Building Information Modeling (BIM) and Virtual Reality (VR) into interactive architectural visualization. The proposed system supports a virtual 作者: aqueduct 時間: 2025-3-28 04:38
LBPX: A Novel Feature Extraction Method for Iris Recognition,ation or features in the iris. The identification delay in iris recognition can be reduced by reducing the feature vector generated from the feature extraction of iris images. A new form of local binary pattern (LBP) termed LBPX is proposed in this paper as an iris feature extraction method. For thi作者: Gorilla 時間: 2025-3-28 08:56
Multi-features Based Multi-layer Perceptron for Facial Expression Recognition System, been used to resolve the recognition problem. However, traditional and deep learning-based methods achieve improved performance but are limited to their features limiting the recognition rate. Therefore, the latest strategy is developed for the FER system based on multi-features extraction using th作者: fructose 時間: 2025-3-28 14:00 作者: Incorporate 時間: 2025-3-28 15:55 作者: 狗窩 時間: 2025-3-28 22:06
An Evaluation of Multiclass Leaf Classification Using Transfer Learning Techniques,ification with better accuracy. Experiments are conducted on both Swedish and flavia datasets and the result indicates that Densenet201 gives better performances of maximum accuracy of 98.10% in Swedish dataset compared to 96.34% obtained on Flavia dataset.作者: 去才蔑視 時間: 2025-3-29 02:34
Machine Learning Approaches for Image Quality Improvement,various types of noise reduction approaches in-detail. The study also includes brief elaboration of magnetic resonance imaging. Machine learning that is foremost used field for complex problems is also discussed with pros and cons of existing techniques with performance parameters to measure the noise in MR images.作者: 我沒有命令 時間: 2025-3-29 06:03
Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs,ighest accuracy. In this paper, found that model (Densenet169) achieved training accuracy of 87.88% and validation accuracy of 79.20%. In case of training loss and validation loss, the model achieved 0.3304 and 0.4887 respectively.作者: amputation 時間: 2025-3-29 10:56 作者: Bucket 時間: 2025-3-29 14:57
,Ant?spoofing Detection System for Online Classes and Online Meeting,or meeting. The state-of-the-art development in the face recognition techniques help to identify the spoofing person. If any spoofing activity is detected; it alerts the teacher or organizer that the attendee is not physically present and/or not belonging to the class.作者: 符合規(guī)定 時間: 2025-3-29 19:23 作者: 胰島素 時間: 2025-3-29 23:04
Optimal Sizing and Placement of Multiple DGs in Distribution Network to Reduce Total Loss Using Cucwith the help of MATPOWER/MATLAB and the comparison of obtained results with DG using cuckoo search algorithm is presented related to the base case results. At last, it can be concluded that cuckoo search is an efficient methodology for optimal size and placement of DGs.作者: ineptitude 時間: 2025-3-30 03:35 作者: Paleontology 時間: 2025-3-30 04:32 作者: 提名 時間: 2025-3-30 09:00
Conference proceedings 2022image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, acc作者: HUMID 時間: 2025-3-30 14:44
Joy Iong-Zong Chen,Jo?o Manuel R. S. Tavares,Ke-LiPresents recent research on image processing and capsule networks.Includes proceedings of the International Conference on Image Processing and Capsule Networks (ICIPCN2021).Shows how to discover more 作者: 左右連貫 時間: 2025-3-30 16:42
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/s/image/863136.jpg作者: 受辱 時間: 2025-3-30 22:09
https://doi.org/10.1007/978-3-030-84760-9Image Processing; Capsule Networks; Artificial Neural Networks; Neuro-fuzzy control; Genetic Algorithms; 作者: Solace 時間: 2025-3-31 02:27
978-3-030-84759-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Meager 時間: 2025-3-31 06:23 作者: COW 時間: 2025-3-31 12:10
Machine Learning Based Detection and Classification of Heart Abnormalities, machine learning resulted in improved accuracy and reduced variability in comparison to manual quantification of echocardiographic parameters. A hybrid algorithm (Image enhancement and denoising both carried out in preprocessing task) is developed in this article which can efficiently and effective作者: PAEAN 時間: 2025-3-31 14:01 作者: 路標(biāo) 時間: 2025-3-31 18:17
A Novel Multi-objective Differential Evolution Algorithm for Clustering Data Streams,e dataset, three targets are considered. Our experimental results show that the proposed algorithm with three objectives perform better in the prediction of the total number of clusters in the dataset as compared to some single objective as well as some existing multi-objective algorithms. Moreover,作者: 挖掘 時間: 2025-3-31 22:29
An Algorithm for Pre-processing of Areca Nut for Quality Classification, In this paper, we explore eight different techniques of image pre-processing and it has been observed that Contrast-Limited Adaptive Histogram Equalization, Anisotropic Diffusion Edge Preserving Filter and K-Means segmentation gives best results for applications involving Areca nut segregation.
