標(biāo)題: Titlebook: Advanced Intelligent Computing Technology and Applications; 19th International C De-Shuang Huang,Prashan Premaratne,Abir Hussain Conference [打印本頁] 作者: FARCE 時(shí)間: 2025-3-21 19:16
書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)
書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)學(xué)科排名
書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度
書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advanced Intelligent Computing Technology and Applications被引頻次
書目名稱Advanced Intelligent Computing Technology and Applications被引頻次學(xué)科排名
書目名稱Advanced Intelligent Computing Technology and Applications年度引用
書目名稱Advanced Intelligent Computing Technology and Applications年度引用學(xué)科排名
書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋
書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋學(xué)科排名
作者: cognizant 時(shí)間: 2025-3-21 23:53
Research on Indoor Positioning Algorithm Based on Multimodal and Attention Mechanismtion and application of the fundamental concepts of web desi.Get ahead in HTML5, including markup, styling, and scripting, with many practical examples and best practice insights. You’ll quickly understand HTML5 markup elements and when to use them, and then apply the latest CSS3 features to create 作者: inspiration 時(shí)間: 2025-3-22 01:32
Undetectable Attack to Deep Neural Networks Without Using Model ParametersML5 specifications promises to revolutionize the way web sites are developed with an impressive set of built-in client-side features. The use of HTML5 as a preferred development language in Windows 8, along with growing support from the major browser vendors, is likely to make HTML5 the de-facto sta作者: ZEST 時(shí)間: 2025-3-22 05:19 作者: Implicit 時(shí)間: 2025-3-22 11:52
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it‘s completely open-source (thus .free.). But what exactly is it, and more importantly, how do you even get a Hadoop cluster up and running?..From Apress, the name you‘ve come to trust for hands–on technical kno作者: 天文臺 時(shí)間: 2025-3-22 14:23
Dynamic Attention Filter Capsule Network for Medical Images Segmentationook provides the right combination of architecture, design, and implementation information to create analytical systems that go beyond the basics of classification, clustering, and recommendation..Pro Hadoop Data Analytics.?emphasizes best practices to ensure coherent, efficient development. A compl作者: apiary 時(shí)間: 2025-3-22 17:10 作者: 文藝 時(shí)間: 2025-3-23 00:30
Solving Class Imbalance Problem in Target Detection with a Squared Cross Entropy Based Methodr services.Hyper-V is a primary focus on Microsoft from this.Companies of all sizes worldwide are looking to virtualization to change the way data centers operate. Server consolidation, energy efficiency, simpler management, and deployment and increased capacity are all tangible benefits to be gaine作者: 正面 時(shí)間: 2025-3-23 02:40 作者: ostrish 時(shí)間: 2025-3-23 07:20 作者: 笨拙的我 時(shí)間: 2025-3-23 12:41 作者: 退出可食用 時(shí)間: 2025-3-23 15:31 作者: galley 時(shí)間: 2025-3-23 21:27 作者: 木訥 時(shí)間: 2025-3-23 22:27 作者: 占線 時(shí)間: 2025-3-24 02:41 作者: 火車車輪 時(shí)間: 2025-3-24 06:36
Success Stories from the Hidden Side of Workrning systems due to the high computational overhead required to train an ensemble of deep neural networks (DNNs). Recent advancements such as fast geometric ensembling (FGE) and snapshot ensembles have addressed this issue by training model ensembles in the same time as a single model. Nonetheless,作者: PLUMP 時(shí)間: 2025-3-24 12:00
The Answer to Overworked and Disengageding researchers due to its high stability and low power consumption. We proposes a multimodal data indoor positioning algorithm model based on RFID and WiFi, named Multimodal Indoor Location Network (MMILN). The common deep learning paradigms, Embedding and Pooling are used to process and pretrain d作者: 大漩渦 時(shí)間: 2025-3-24 17:47
Seeing Your “Job-within-the-Job” that intentionally adding some perturbations to the input samples of a DNN can cause the model to misclassify the samples. The adversarial samples have the capability of fooling highly proficient convolutional neural network classifiers in deep learning. The presence of such vulnerable ability in t作者: 鎮(zhèn)壓 時(shí)間: 2025-3-24 22:25
The Medium of Human Social Life,s problem challenging. While many deep spatio-temporal models have been proposed and applied to traffic flow prediction, they mostly focus on capturing the spatio-temporal correlation among traffic nodes, ignoring the influence of the functional characteristics of the area to which the nodes belong.作者: peptic-ulcer 時(shí)間: 2025-3-25 00:53
The Medium of Human Social Life,on. While these techniques are state-of-the-art, these works’ effectiveness can only be guaranteed with huge computational costs and parameters, large amounts of data augmentation, transfer from large datasets and some other tricks. By utilizing the lightweight nature of audio, we propose an efficie作者: 未開化 時(shí)間: 2025-3-25 03:42 作者: Intentional 時(shí)間: 2025-3-25 08:29 作者: 關(guān)節(jié)炎 時(shí)間: 2025-3-25 11:50 作者: 辯論 時(shí)間: 2025-3-25 15:49 作者: Clinch 時(shí)間: 2025-3-25 20:16 作者: epidermis 時(shí)間: 2025-3-26 01:34 作者: 可互換 時(shí)間: 2025-3-26 05:28 作者: 感染 時(shí)間: 2025-3-26 12:11
Introduction: Parties and Transnationalism,t only single type of relation between nodes, but, graphs often contain multiple relationship types. While recent researches have attempted to consider the multiple relations in graph, they ignore the problem of topological redundancy. This paper proposes a simple yet effective method called .ttribu作者: Desert 時(shí)間: 2025-3-26 15:28 作者: 哭得清醒了 時(shí)間: 2025-3-26 20:47 作者: 獨(dú)行者 時(shí)間: 2025-3-26 23:45 作者: prolate 時(shí)間: 2025-3-27 03:25 作者: 浮雕 時(shí)間: 2025-3-27 06:49 作者: reflection 時(shí)間: 2025-3-27 12:24 作者: 冷漠 時(shí)間: 2025-3-27 17:17 作者: 膠狀 時(shí)間: 2025-3-27 19:47 作者: 南極 時(shí)間: 2025-3-28 01:36 作者: Bucket 時(shí)間: 2025-3-28 03:14
0302-9743 e refereed proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023. ..The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions...This year, the conference concentrated mainly 作者: 發(fā)酵劑 時(shí)間: 2025-3-28 07:14
Conference proceedings 2023 proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023. ..The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions...This year, the conference concentrated mainly on the the作者: 幼稚 時(shí)間: 2025-3-28 12:12 作者: CAMP 時(shí)間: 2025-3-28 16:31 作者: 低能兒 時(shí)間: 2025-3-28 22:24 作者: 是貪求 時(shí)間: 2025-3-29 01:17
https://doi.org/10.1057/9781137277534ach to achieve personalized simulation of processing capacities of different learners. Moreover, long-term memory is simulated to predict future learner responses. The results of experiments on several benchmark datasets from the real world reveals that MCKT performs better than multiple classical models.作者: Pelago 時(shí)間: 2025-3-29 03:48
Introduction: Parties and Transnationalism,ions adaptively by fusing information in multiple relations using an attention mechanism. The effectiveness of AMGGCN is evaluated on two downstream tasks, unsupervised clustering and supervised classification. The experimental results show that our approach achieves state-of-the-art performance.作者: Onerous 時(shí)間: 2025-3-29 09:57
Tridib Banerjee,William C. BaerResCMFA module. Then, multimodal features are fed into the global-aware block to capture the most important emotional information on a global scale. Finally, extensive experiments on the IEMOCAP dataset have shown that our proposed algorithm has significant advantages over state-of-the-art methods.作者: 放縱 時(shí)間: 2025-3-29 13:27 作者: Arthr- 時(shí)間: 2025-3-29 16:52 作者: 2否定 時(shí)間: 2025-3-29 21:28 作者: sorbitol 時(shí)間: 2025-3-30 03:27 作者: Congeal 時(shí)間: 2025-3-30 06:24
The Medium of Human Social Life,des into different clusters based on traffic pattern. Our graph transformer module can adaptively construct a new graph for nodes in the same cluster, and the spatio-temporal feature learning module captures the spatio-temporal correlation among nodes based on the new graph. Extensive experiments on作者: creatine-kinase 時(shí)間: 2025-3-30 09:25
https://doi.org/10.1057/9780230306790rmation lost due to the pooling layer of the CNNs, and a decoder is responsible for fusing the feature information extracted from the two stages. Extensive experiments demonstrate that DAF can improve the performance of CapsNets on complex datasets and reduce the number of parameters, GPU memory cos作者: 是剝皮 時(shí)間: 2025-3-30 13:24 作者: 臨時(shí)抱佛腳 時(shí)間: 2025-3-30 20:09
https://doi.org/10.1007/978-4-431-54559-0CN-LP method is comparable to the meta-heuristic algorithms in the OSSP benchmark instances, but the solution quality and solution efficiency of the GCN-LP method are significantly better than the meta-heuristic algorithms in the large-scale OSSP random instances. Compared with the other graph neura作者: 高度 時(shí)間: 2025-3-30 21:13 作者: Crohns-disease 時(shí)間: 2025-3-31 00:53 作者: Incumbent 時(shí)間: 2025-3-31 07:37 作者: 抱狗不敢前 時(shí)間: 2025-3-31 10:16 作者: MIR 時(shí)間: 2025-3-31 16:58
Tridib Banerjee,William C. Baer1DCG, A-BiGRU, and ST-1DCG. The performance of the MT-1DCG model is validated through multiple experiments, demonstrating superior results compared to A-BiGRU and ST-1DCG models. Standard evaluation metrics, including accuracy, sensitivity, specificity, and ROC, are employed to assess model performa作者: Classify 時(shí)間: 2025-3-31 17:41
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models978-1-4302-3865-2作者: stroke 時(shí)間: 2025-3-31 22:09
Cross-Scale Dynamic Alignment Network for Reference-Based Super-Resolution978-1-4302-0042-0作者: Afflict 時(shí)間: 2025-4-1 02:51
Attributed Multi-relational Graph Embedding Based on GCN978-1-4302-1963-7作者: 青春期 時(shí)間: 2025-4-1 09:46
Speech Emotion Recognition Using Global-Aware Cross-Modal Feature Fusion Network978-1-4302-0699-6
