作者: 秘傳 時(shí)間: 2025-3-21 21:42
Image Recognition of Peanut Leaf Diseases Based on Capsule Networksase images by taking advantage of the capsule networks. Firstly, constructing the data set of the peanut leaf disease images and data enhancement was used to process the images. Secondly, this paper designed two types of capsule networks: modifying the parameters for the peanut leaf disease images a作者: 慟哭 時(shí)間: 2025-3-22 00:48 作者: 共同確定為確 時(shí)間: 2025-3-22 06:22
TCPModel: A Short-Term Traffic Congestion Prediction Model Based on Deep Learningerm traffic speed prediction model called .. Both models are based on a deep learning method Stacked Auto Encoder (.). By comparing the other traffic flow forecasting methods and average speed forecasting methods, the methods proposed by this paper have improved the accuracy rate. For traffic conges作者: ostensible 時(shí)間: 2025-3-22 11:18 作者: gentle 時(shí)間: 2025-3-22 14:47
The Methods for Reducing the Number of OOVs in Chinese-Uyghur NMT Systemnt test on low-frequency words from Chinese corpus after training and achieved an even more reduced OOV result of 98. The mass reduction of OOVs from 1.5 thousand to only a hundred signifies the effectiveness of the solutions in this study.作者: penance 時(shí)間: 2025-3-22 20:35 作者: blight 時(shí)間: 2025-3-22 23:18 作者: Matrimony 時(shí)間: 2025-3-23 04:42
Developing Successful Oracle Applications,t scale classification maps and obtain a final road decision map. To validate the performance of the proposed method, we test our MSCNN based method and other state-of-the-art approaches on two challenging datasets of high-resolution images. Experiments show our method gets the best results both in 作者: 流動(dòng)性 時(shí)間: 2025-3-23 09:36
Developing Successful Oracle Applications,erm traffic speed prediction model called .. Both models are based on a deep learning method Stacked Auto Encoder (.). By comparing the other traffic flow forecasting methods and average speed forecasting methods, the methods proposed by this paper have improved the accuracy rate. For traffic conges作者: 大氣層 時(shí)間: 2025-3-23 12:10
Developing Successful Oracle Applications,reduce the effect of noise and utilize spatial constraint information, 3D local structure similarity factor was proposed by combining the characteristic of the intensity of a voxel can be similar to those of its neighbors, which was introduced into level set model. Comparing with six methods, the ex作者: Adenocarcinoma 時(shí)間: 2025-3-23 17:42
Oracle APEX 4.0 Charts Inside Out,nt test on low-frequency words from Chinese corpus after training and achieved an even more reduced OOV result of 98. The mass reduction of OOVs from 1.5 thousand to only a hundred signifies the effectiveness of the solutions in this study.作者: 社團(tuán) 時(shí)間: 2025-3-23 18:08
Hybrid Recommendation Algorithm Based on Weighted Bipartite Graph and Logistic Regression Furthermore, a balance factor is proposed to measure the accuracy and diversity of a recommender system comprehensively. Experimental results show that the recommendation results of the proposed algorithm are good.作者: Antioxidant 時(shí)間: 2025-3-23 22:32 作者: Pillory 時(shí)間: 2025-3-24 03:44 作者: 不在灌木叢中 時(shí)間: 2025-3-24 09:40
Developing Successful Oracle Applications,tion network to get the importance of the item’s characteristic to the user. Considering the shortcomings of linear interaction features, we adopt the idea of collaboration to predict unknown scores. Extensive experiments on real-world datasets show significant improvements in our proposed CFAM framework over the state-of-the-art methods.作者: 文藝 時(shí)間: 2025-3-24 13:10 作者: 未完成 時(shí)間: 2025-3-24 17:18
Developing Successful Oracle Applications,ive experiment of the proposed method is evaluated on a dataset of 190 Uyghur printed document images which contain about 17648 words. Experimental result demonstrates that the proposed approach is an effective method of retrieving the word comparing with the previous word spotting method used in Uyghur printed document image.作者: 熔巖 時(shí)間: 2025-3-24 20:55
Oracle APEX 5.0 Charts Inside Out,tion needs are represented in terms of pattern equivalence classes. Finally, matching degree and preference degree are integrated to rank the candidate papers. Experimental results on real datasets demonstrate that CPM outperforms (5.6% in terms of NDCG@5 and 8.1% in terms of MRR) the baseline method.作者: 食品室 時(shí)間: 2025-3-25 02:50
Collaborative Filtering Based on Attention Mechanismtion network to get the importance of the item’s characteristic to the user. Considering the shortcomings of linear interaction features, we adopt the idea of collaboration to predict unknown scores. Extensive experiments on real-world datasets show significant improvements in our proposed CFAM framework over the state-of-the-art methods.作者: 偏離 時(shí)間: 2025-3-25 06:18
Sub-pixel Upsampling Decode Network for Semantic Segmentation module to decode more detailed information by learning spacial downsampled label in different decoder channel groups. We test the proposed model in the dataset of PASCAL VOC 2012 segmentation task, and the results show the improvement of our method under our computational limitation.作者: Palpitation 時(shí)間: 2025-3-25 10:56 作者: 不合 時(shí)間: 2025-3-25 12:40
Academic Paper Recommendation Based on Clustering and Pattern Matchingtion needs are represented in terms of pattern equivalence classes. Finally, matching degree and preference degree are integrated to rank the candidate papers. Experimental results on real datasets demonstrate that CPM outperforms (5.6% in terms of NDCG@5 and 8.1% in terms of MRR) the baseline method.作者: Scleroderma 時(shí)間: 2025-3-25 17:55
Developing Successful Oracle Applications,veness of our approach, we use benchmark sequences annotated with 11 attributes to evaluate how well the tracker handles different attributes. Numerous experiments demonstrate that the proposed algorithm performs favorably against several state-of-the-art algorithms.作者: Barrister 時(shí)間: 2025-3-25 21:32 作者: fulcrum 時(shí)間: 2025-3-26 01:12 作者: 折磨 時(shí)間: 2025-3-26 07:56 作者: 窗簾等 時(shí)間: 2025-3-26 09:07 作者: invert 時(shí)間: 2025-3-26 14:45 作者: NUDGE 時(shí)間: 2025-3-26 19:34
Performance Evaluation of Visual Object Detection for Moving Vehicleobject is determined based on its degree of relevance of the safe driving. The weight of early detection is set to evaluate whether the objects are detected in time or not. In experiments, the proposed evaluation method can reflect the relatively true detection ability of intelligent vehicles compared to the traditional methods.作者: incredulity 時(shí)間: 2025-3-26 21:15
Large Scale Name Disambiguation Using Rule-Based Post Processing Combined with Aminermplements two types of disambiguation rules. We carefully evaluate the proposed post processing method on real-world large data and experimental result shows that our method achieves clearly better performance (+11% in terms of F1-score) than the state-of-the-art Aminer [.] method.作者: 可憎 時(shí)間: 2025-3-27 01:42
1865-0929 al sections on ?deep learning, image and video processing, NLP and recommender system, machine learning algorithms, and AI applications..978-981-32-9297-0978-981-32-9298-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 有助于 時(shí)間: 2025-3-27 07:42
Oracle APEX 5.0 Charts Inside Out, Furthermore, a balance factor is proposed to measure the accuracy and diversity of a recommender system comprehensively. Experimental results show that the recommendation results of the proposed algorithm are good.作者: 纖細(xì) 時(shí)間: 2025-3-27 11:16 作者: 過度 時(shí)間: 2025-3-27 14:21 作者: Project 時(shí)間: 2025-3-27 19:10 作者: FAR 時(shí)間: 2025-3-27 23:42
https://doi.org/10.1007/978-981-32-9298-7artificial intelligence; clustering; clustering algorithms; computer networks; image processing; image se作者: URN 時(shí)間: 2025-3-28 05:16 作者: Indolent 時(shí)間: 2025-3-28 07:23
Developing Successful Oracle Applications, weight vector. Therefore, using the traditional method to predict the unknown ratings ignores this difference in importance, resulting in a false assumption that all users have the same attention to different characteristics of the same item. In this paper, we propose a collaborative filtering syst作者: 碳水化合物 時(shí)間: 2025-3-28 14:22 作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-28 17:08
Developing Successful Oracle Applications,anges due to deformation, sudden movement, complex background and occlusion. These changes make visual target tracking challenging. In this paper, a target tracking algorithm based on dual residual neural network and kernel correlation filters is proposed, which mainly solves the problems of inaccur作者: 審問,審訊 時(shí)間: 2025-3-28 19:38 作者: 鳥籠 時(shí)間: 2025-3-29 02:59 作者: PLIC 時(shí)間: 2025-3-29 05:49
Developing Successful Oracle Applications,e of roads than that of cars. One of the most prominent problems is traffic congestion problem. The prediction of traffic congestion is the key to alleviate traffic congestion. To ensure the real-time performance and accuracy of the traffic congestion prediction, we propose a short-term traffic cong作者: overture 時(shí)間: 2025-3-29 09:26 作者: 值得尊敬 時(shí)間: 2025-3-29 12:02
Developing Successful Oracle Applications,wever, there still need to improve the overall tracking capability to counter various tracking issues, including large scale variation, occlusion, and deformation. This paper presents an appealing tracker with robust scale adaptive, which applies the discriminative correlation filter for scale estim作者: 審問 時(shí)間: 2025-3-29 17:54 作者: 圖表證明 時(shí)間: 2025-3-29 21:53
Developing Successful Oracle Applications,o saliency detection method based on eye-movement guided region matching and local directional patterns (LDP) embedded optical flow is proposed. We use the eye fixation of human beings to match the regions of the adjacent frames to overcome the inaccuracy of the dynamic characteristics constructed b作者: elucidate 時(shí)間: 2025-3-30 00:48
Developing Successful Oracle Applications,ehicles. This paper proposes a novel evaluation method for visual object detection of intelligent vehicles. The traditional evaluation methods are based on each frame of the video and treat all the objects equally. Distinguished from that, the proposed method applies the length of driving trajectory作者: Oafishness 時(shí)間: 2025-3-30 06:59 作者: 追逐 時(shí)間: 2025-3-30 11:04 作者: 有法律效應(yīng) 時(shí)間: 2025-3-30 13:47
Oracle APEX 5.0 Charts Inside Out, scholar’s past works represent his latent interests. However, its effectiveness in recommending scholarly papers has not been well explored in the existing studies. In this paper, we propose an academic paper recommendation model, called CPM, which mainly mines researcher’s published works for impr作者: Junction 時(shí)間: 2025-3-30 19:04 作者: Ballad 時(shí)間: 2025-3-30 22:17
Collaborative Filtering Based on Attention Mechanism weight vector. Therefore, using the traditional method to predict the unknown ratings ignores this difference in importance, resulting in a false assumption that all users have the same attention to different characteristics of the same item. In this paper, we propose a collaborative filtering syst作者: 緯線 時(shí)間: 2025-3-31 03:33 作者: Progesterone 時(shí)間: 2025-3-31 06:35 作者: PUT 時(shí)間: 2025-3-31 11:46 作者: assent 時(shí)間: 2025-3-31 16:51
Multi-scale Convolutional Neural Network for Road Extraction in Remote Sensing Imageryccess in image classification, since it can directly learn from labeled training samples and extract different level image features to encode the input image. In this paper, we propose a multi-scale convolutional neural network (MSCNN) for extracting road from high-resolution remote sensing image, i
