標(biāo)題: Titlebook: Soft Computing in Data Science; Third International Azlinah Mohamed,Michael W. Berry,Bee Wah Yap Conference proceedings 2017 Springer Natu [打印本頁] 作者: ODDS 時(shí)間: 2025-3-21 17:29
書目名稱Soft Computing in Data Science影響因子(影響力)
書目名稱Soft Computing in Data Science影響因子(影響力)學(xué)科排名
書目名稱Soft Computing in Data Science網(wǎng)絡(luò)公開度
書目名稱Soft Computing in Data Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Soft Computing in Data Science被引頻次
書目名稱Soft Computing in Data Science被引頻次學(xué)科排名
書目名稱Soft Computing in Data Science年度引用
書目名稱Soft Computing in Data Science年度引用學(xué)科排名
書目名稱Soft Computing in Data Science讀者反饋
書目名稱Soft Computing in Data Science讀者反饋學(xué)科排名
作者: 戰(zhàn)勝 時(shí)間: 2025-3-21 22:30 作者: SEEK 時(shí)間: 2025-3-22 04:04 作者: interference 時(shí)間: 2025-3-22 06:14 作者: 泛濫 時(shí)間: 2025-3-22 09:16
the - velopment of the subject or a comprehensive picture of the various schools of thought that can be encountered by perusing scholarly journals and attending specialized symposia. The book is divided into three parts, the ?rst of which is entirely devoted to the formulation of the theory in the 作者: arrogant 時(shí)間: 2025-3-22 13:56
Khairul Anam,Adel Al-Jumaily the - velopment of the subject or a comprehensive picture of the various schools of thought that can be encountered by perusing scholarly journals and attending specialized symposia. The book is divided into three parts, the ?rst of which is entirely devoted to the formulation of the theory in the 作者: Pde5-Inhibitors 時(shí)間: 2025-3-22 19:05 作者: 擋泥板 時(shí)間: 2025-3-22 23:43
the - velopment of the subject or a comprehensive picture of the various schools of thought that can be encountered by perusing scholarly journals and attending specialized symposia. The book is divided into three parts, the ?rst of which is entirely devoted to the formulation of the theory in the 作者: 物種起源 時(shí)間: 2025-3-23 03:08 作者: misanthrope 時(shí)間: 2025-3-23 07:03 作者: Airtight 時(shí)間: 2025-3-23 10:22
plastic deformation-rate tensor to the yield surface. together with standard weak conservation laws and compatibility requirements. greatly restrict the permissibility of shock waves. This is especially so in quasi-static deformations, but strong restrictions on the permissible types and speeds of d作者: capillaries 時(shí)間: 2025-3-23 15:40 作者: Cabg318 時(shí)間: 2025-3-23 21:58 作者: Phagocytes 時(shí)間: 2025-3-24 00:30 作者: frivolous 時(shí)間: 2025-3-24 02:51
Wahyu Wibowo,Sarirazty Dwijantari,Alia Hartati the inclusion of non-humans in democracy as a project of ‘extension’: engagement with the issue of non-human entities here all too often concentrates on the question of whether the . machinery of politics, morality and ethics can be extended to include these entities. In this book I take a differen作者: Pantry 時(shí)間: 2025-3-24 10:34 作者: ARIA 時(shí)間: 2025-3-24 13:47
Siti Eshah Che Osman,Hamidah Jantanent, in particular settings and at certain times. From this vantage point, there is another problem with the debate about non-human agency besides anthropomorphism: it wrongly suggests that the crucial issue is whether nonhumans are ‘naturally’ endowed with capacities for socially or politically sig作者: humectant 時(shí)間: 2025-3-24 17:49 作者: 含水層 時(shí)間: 2025-3-24 19:25 作者: COWER 時(shí)間: 2025-3-25 01:45 作者: 幻影 時(shí)間: 2025-3-25 04:26
Road Lane Segmentation Using Deconvolutional Neural Networker to build the feature map resulting in spatially smaller feature map. Deconvolution and unpooling layer then applied to the feature map to reconstruct it back to its input size. The method used in this research resulting a 98.38% pixel level accuracy and able to predict a single input frame in 28?作者: Minatory 時(shí)間: 2025-3-25 11:28
Rare Event Prediction Using Similarity Majority Under-Sampling Technique of the underlying non-linear mapping between the input variables and the target classes. Two experiments are conducted and reported in this paper: one is an extensive performance comparison of SMUTE with the states-of-the-arts using generated imbalanced data; the other is the use of real data repre作者: 光亮 時(shí)間: 2025-3-25 12:53 作者: construct 時(shí)間: 2025-3-25 19:29
Classification of Batik Kain Besurek Image Using Speed Up Robust Features (SURF) and Gray Level Co-oo grayscale and followed by resizing. The feature extraction uses GLCM method yielding six features and SURF method yielding 64 descriptors. The extraction results are combined by assigning weight on both methods in which the weighting scheme is tested. Moreover, the image classification uses a meth作者: Genetics 時(shí)間: 2025-3-25 23:10 作者: dysphagia 時(shí)間: 2025-3-26 00:22
Eye Detection for Drowsy Driver Using Artificial Neural Networkakes the driver uncomfortable or less sensitive (vehicle based approach). The data collected from 26 volunteers will have four (4) different type of image. Thus, the total input will be 10,800 nodes. This thesis will be classified into two (2) outputs which are drowsy eye and non-drowsy eye. The alg作者: 發(fā)生 時(shí)間: 2025-3-26 08:09 作者: enmesh 時(shí)間: 2025-3-26 10:51 作者: FLORA 時(shí)間: 2025-3-26 16:07
Enhancing Parallel Self-organizing Map on Heterogeneous System Architecturearadigm for recent platform because of their remarkable parallel processing abilities. Therefore, the main goal of this study is to reduce computation time of SOM training through adapting HSA platform and combining two SOM training processes. This study attempts to enhance the processing of SOM alg作者: 人類的發(fā)源 時(shí)間: 2025-3-26 20:01
Geovisualization Using Hexagonal Tessellation for Spatiotemporal Earthquake Data Analysis in Indonesial phenomena pattern of the earthquake epicenter into more easily understood information. The density analysis includes distance matrix analysis to examine the visualization result and proximity analysis to know the proximity of earthquake density represented by centroid hexagon point with the tect作者: 煩憂 時(shí)間: 2025-3-27 00:35
Conference proceedings 2017n topical sections on?deep learning and real-time classification; image feature classification and extraction; classification, clustering, visualization; applications of machine learning; data visualization; fuzzy logic; prediction models and e-learning; text and sentiment analytics..作者: Conscientious 時(shí)間: 2025-3-27 03:52
Evaluation of Randomized Variable Translation Wavelet Neural Networksusing benchmark data form UCI machine learning datasets were conducted. The experimental results show that RVT-WNN can work on a broad range of applications from the small size up to the large size with comparable performance to other well-known classifiers.作者: organism 時(shí)間: 2025-3-27 05:42 作者: Pelago 時(shí)間: 2025-3-27 10:57
Conference proceedings 2017nesia, November 27-28, 2017..The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on?deep learning and real-time classification; image feature classification and extraction; classification, clustering, visualizati作者: countenance 時(shí)間: 2025-3-27 15:41 作者: A精確的 時(shí)間: 2025-3-27 18:26 作者: 網(wǎng)絡(luò)添麻煩 時(shí)間: 2025-3-28 00:10
Modeling of the Gaussian-Based Component Analysis on the Kernel Space to Extract Face Imageg sets, 90.83% for three training sets, and 92.38% for four training sets on the YALE database. On the CAI-UTM database, the proposed method could classify correctly by 83.75%, 85.57%, and 87.33% for two, three, and four training sets respectively. The comparison results show that the results of the proposed approach outperformed to other methods.作者: 異端邪說2 時(shí)間: 2025-3-28 02:34 作者: 牢騷 時(shí)間: 2025-3-28 08:28
Evaluation of Randomized Variable Translation Wavelet Neural Networkst learning algorithms have been proposed such as backpropagation and hybrid wavelet-particle swarm optimization. However, most of them are time costly. This paper proposed a new learning mechanism for VT-WNN using random weights. To validate the performance of randomized VT-WNN, several experiments 作者: nocturia 時(shí)間: 2025-3-28 13:01 作者: 盲信者 時(shí)間: 2025-3-28 14:47
Rare Event Prediction Using Similarity Majority Under-Sampling Techniquey but too few rare samples as training data, will mislead the classifier to become over-fitted by learning too much from majority class samples and become under-fitted lacking recognizing power for minority class samples. In this research work, a novel rebalancing technique that under-samples (reduc作者: 出來 時(shí)間: 2025-3-28 20:43
Pattern Recognition of Balinese Carving Motif Using Learning Vector Quantization (LVQ)ese carvings in traditional buildings and sacred buildings, to inherit the culture it needs a management, documentation and dissemination of information by utilizing technology. Digital image processing and pattern recognition can be utilized to preserve arts and culture, the technology can be utili作者: gorgeous 時(shí)間: 2025-3-28 23:26 作者: 有常識 時(shí)間: 2025-3-29 04:26
Modeling of the Gaussian-Based Component Analysis on the Kernel Space to Extract Face Imagethe image to the features spaces by using kernel trick. In this paper, the new model is proposed to add the image features to be more dominant, so that the main image features can be raised. Two databases were used to verify the proposed method, which are the YALE and the CAI-UTM. Three scenarios ha作者: BET 時(shí)間: 2025-3-29 08:42
Classification of Batik Kain Besurek Image Using Speed Up Robust Features (SURF) and Gray Level Co-o of each Indonesian province. One of the motifs is called as Batik Kain Besurek or shortly Batik Besurek, originally from Bengkulu Province. This motif constitutes a motif family consisting of five main motifs: . Currently most Batik Besureks reflect a creation developed from combination of main mot作者: 一回合 時(shí)間: 2025-3-29 13:29 作者: 縱火 時(shí)間: 2025-3-29 19:27
The Selection Feature for Batik Motif Classification with Information Gain Valueeatures, shape features, and color features. Features can be utilized separately or combined between features. The problem in this research is how to get the potential feature to classified the motif of batik. The feature combination causes enhancement in the number of features causing dataset size 作者: 愛了嗎 時(shí)間: 2025-3-29 22:29
Eye Detection for Drowsy Driver Using Artificial Neural Networkven though a lot of studies and work has been done on road and vehicle designs to improve driver’s safety yet the total number of car crashes is increasing day by day. Therefore, the most factors that cause an accident is fatigue driver rather than other factors which are distraction, speeding, drin作者: LUMEN 時(shí)間: 2025-3-30 00:33 作者: Acclaim 時(shí)間: 2025-3-30 06:44
A Design of a Reminiscence System for Tacit Knowledge Recall and Transferiness owner to the younger generation. The process of transferring knowledge in family firms is very challenging because it involves the main source of knowledge who is business owners. The majority of the business owner who are also the founder of the family firm are elderly, whom facing difficulti作者: DEMUR 時(shí)間: 2025-3-30 09:22
Pattern Search Based on Particle Swarm Optimization Technique for Block Matching Motion Estimation Aestimation (ME) algorithm. In a video encoder, efficient implementation of ME is required that affect the final result in any applications. Searching pattern is one of the factors in developing motion estimation algorithm that could provide good performance. A new enhanced algorithm using a pattern 作者: 運(yùn)動(dòng)吧 時(shí)間: 2025-3-30 15:37 作者: 多嘴 時(shí)間: 2025-3-30 17:27 作者: 微粒 時(shí)間: 2025-3-31 00:06
1865-0929 cience, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017..The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on?deep learning and real-time classification; image feature classification and extracti作者: 流利圓滑 時(shí)間: 2025-3-31 01:07
