標題: Titlebook: Knowledge Science, Engineering and Management; 17th International C Cungeng Cao,Huajun Chen,Yonghao Wang Conference proceedings 2024 The Ed [打印本頁] 作者: 氣泡 時間: 2025-3-21 17:15
書目名稱Knowledge Science, Engineering and Management影響因子(影響力)
書目名稱Knowledge Science, Engineering and Management影響因子(影響力)學科排名
書目名稱Knowledge Science, Engineering and Management網(wǎng)絡公開度
書目名稱Knowledge Science, Engineering and Management網(wǎng)絡公開度學科排名
書目名稱Knowledge Science, Engineering and Management被引頻次
書目名稱Knowledge Science, Engineering and Management被引頻次學科排名
書目名稱Knowledge Science, Engineering and Management年度引用
書目名稱Knowledge Science, Engineering and Management年度引用學科排名
書目名稱Knowledge Science, Engineering and Management讀者反饋
書目名稱Knowledge Science, Engineering and Management讀者反饋學科排名
作者: 禍害隱伏 時間: 2025-3-21 23:30 作者: 灰姑娘 時間: 2025-3-22 04:01 作者: 不能約 時間: 2025-3-22 06:33 作者: 尾隨 時間: 2025-3-22 11:23
Integrated Geologic Terms and Dual Model for Chinese Geological Word Segmentationmodel, and provides the ability to adapt to the new scenarios while maintaining the adaptability to the original scene. We introduce a words segmentation correction method based on the similarity with geologic terms, in order to enhance the ability to identify the boundaries of highly domain-specific geologic terms.作者: CLASH 時間: 2025-3-22 13:42
Exploring Word Composition Knowledge in?Language Usagessting and find the abnormal patterns on the language usages. Compared to the large pre-trained models, this method is much more training-economic and can generate the paraphrases in an explainable way.作者: Minuet 時間: 2025-3-22 20:41
L2R-Nav: A Large Language Model-Enhanced Framework for?Robotic Navigationof the L2R-Nav framework are demonstrated through extensive empirical evaluations in a variety of environments, underscoring its potential as a significant advancement in the field of robotic navigation.作者: PLE 時間: 2025-3-22 21:53 作者: 微生物 時間: 2025-3-23 03:26
Adversarial Attacks on Large Language Modelsffers a foundational overview of LLMs and traces their developmental trajectory. We systematically classify and compare adversarial examples on LLMs based on their perturbation units. Additionally, we scrutinize the root causes of vulnerability and explore prevalent defense approaches tailored to mitigate adversarial attacks on LLMs.作者: jumble 時間: 2025-3-23 06:44 作者: 捐助 時間: 2025-3-23 13:15 作者: Sad570 時間: 2025-3-23 17:42 作者: reject 時間: 2025-3-23 19:08 作者: 倒轉(zhuǎn) 時間: 2025-3-24 00:18
Yang Yang,Wei Xue,Huan Wang,Lin Zhang,Xianyao Gu,Min Sun作者: generic 時間: 2025-3-24 04:55
Yuxuan Liu,Jianxiong Zhang,Xuefeng Ding,Bing Guo,Dasha Hu,Yuming Jiang作者: 不要嚴酷 時間: 2025-3-24 06:59
Jicheng Yu,Zefeng Feng,Jiawei Li,Yixiu Qin,Yuncheng Jiang作者: Triglyceride 時間: 2025-3-24 12:42 作者: 繁榮地區(qū) 時間: 2025-3-24 16:14 作者: 試驗 時間: 2025-3-24 19:35
GCCR: GAT-Based Category-Aware Course Recommendationes. Finally, to improve model convergence stability, we introduce the weighted dual prediction, assigning distinct weights to the losses of GCCR and its GAT-less variant to train simultaneously, named GCCR + D. Extensive experiments on real-world datasets from two different periods demonstrate the e作者: AVOID 時間: 2025-3-25 01:03
Enhancing Question Embedding with?Relation Chain for?Multi-hop KGQAuently, this aligned question embedding, along with the embeddings of relevant candidate relations, is fed into a transformer encoder. Through an attention mechanism, the semantic information of the question is further integrated with the embedding information of the relation chain. This results in 作者: 北京人起源 時間: 2025-3-25 05:32 作者: 瑣碎 時間: 2025-3-25 08:58 作者: 撫慰 時間: 2025-3-25 14:47 作者: 暗諷 時間: 2025-3-25 18:11 作者: BLOT 時間: 2025-3-25 22:38
CGCL: A Novel Collaborative Graph Contrastive Learning Network for?Chinese NERlem of entity boundaries. Secondly, we combine five collaborative graphs to construct three sample graph groups, and we construct a contrastive learning network to improve recognition performance. Finally, experimental results on the benchmark Chinese NER datasets show that CGCL is effective and. CG作者: Prostaglandins 時間: 2025-3-26 03:52 作者: 生存環(huán)境 時間: 2025-3-26 06:40
WaveSegNet: Wavelet Transform and?Multi-scale Focusing Network for?Scrap Steel Segmentationnce the accuracy of segmentation by extracting and perceiving features at different scales. Through experiments conducted on public dataset Cityscapes and scrap steel dataset, we have found that WaveSegNet demonstrates outstanding performance and efficiency in the field of semantic segmentation, out作者: FOVEA 時間: 2025-3-26 08:35 作者: 事先無準備 時間: 2025-3-26 15:20 作者: 誓言 時間: 2025-3-26 18:44
Jiakui Zhong,Yunfeng Xu,Changda Liu ?gro?e‘ pr?sentierte Mathematiker und auf ideengeschichtliche Entwicklungen er?ffnet das Buch, auf dem aktuellen Stand der historischen Forschung, neue Zug?nge zum Verst?ndnis der Begriffs-Entwicklungen durch deren Darstellung in ihren kulturellen und sozialen Kontexten. Zudem leitet das Buch dazu 作者: 翻動 時間: 2025-3-27 00:41
Bing Wang,Xiaoling Yang,Xingpeng Zhang,Chunlan Zhao,Chunhao Wang,Weishan Feng ?gro?e‘ pr?sentierte Mathematiker und auf ideengeschichtliche Entwicklungen er?ffnet das Buch, auf dem aktuellen Stand der historischen Forschung, neue Zug?nge zum Verst?ndnis der Begriffs-Entwicklungen durch deren Darstellung in ihren kulturellen und sozialen Kontexten. Zudem leitet das Buch dazu 作者: B-cell 時間: 2025-3-27 04:25 作者: painkillers 時間: 2025-3-27 06:14
Yizhong Liu,Xuqi Huang,Boyu Zhao,Jiqiang Lu,Xuejun Zhangathematischen Problemen nur einen (richtigen) L?sungsweg gibt. Auch Querverbindungen zwischen den verschiedenen Disziplinen werden deutlich. Das Buch wendet sich an all jene, die eine übersichtliche, kurze Darstellung der zentralen Momente in der Geschichte der Mathematik suchen – vor allem Professo作者: Blood-Clot 時間: 2025-3-27 09:47
https://doi.org/10.1007/978-981-97-5501-1knowledge science; knowledge representation; reasoning; knowledge metrics; machine learning; artificial i作者: MORPH 時間: 2025-3-27 14:39
978-981-97-5500-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: neologism 時間: 2025-3-27 18:36 作者: 神圣在玷污 時間: 2025-3-27 23:42 作者: organic-matrix 時間: 2025-3-28 04:45
Jiakui Zhong,Yunfeng Xu,Changda Liuo wird es einem an Mathematik interessierten Leser neue Zug?nge zur Mathematik er?ffnen..Kenntnisse in Geschichte der Mathematik werden stets wichtiger als Bestandteil der Mathematiklehrer-Ausbildung: zur Vertiefung des Begriffs-Verst?ndnisses und aufgrund der in der Mathematik-Didaktik internationa作者: 背景 時間: 2025-3-28 06:28
Bing Wang,Xiaoling Yang,Xingpeng Zhang,Chunlan Zhao,Chunhao Wang,Weishan Fengo wird es einem an Mathematik interessierten Leser neue Zug?nge zur Mathematik er?ffnen..Kenntnisse in Geschichte der Mathematik werden stets wichtiger als Bestandteil der Mathematiklehrer-Ausbildung: zur Vertiefung des Begriffs-Verst?ndnisses und aufgrund der in der Mathematik-Didaktik internationa作者: sphincter 時間: 2025-3-28 14:10 作者: 協(xié)迫 時間: 2025-3-28 15:48
Yizhong Liu,Xuqi Huang,Boyu Zhao,Jiqiang Lu,Xuejun Zhangbis zur Renaissancezeit weitgehend eigenst?ndig entwickelt haben: Arithmetik, Geometrie, Algebra, Zahlentheorie und mathematische Logik. Die Darstellung verzichtet auf Vollst?ndigkeit und konzentriert sich stattdessen ganz bewusst auf wesentliche oder besonders interessante Aspekte: Einzelne Pers?nl作者: 規(guī)范要多 時間: 2025-3-28 22:43 作者: 溫和女人 時間: 2025-3-29 02:07
Random Virtual Embeddings Bootstrap High-Degree Item Diffusion for?Recommendationearch mostly attributes this to insufficient exploration of user-item interaction information, resulting in methods that primarily focus on how to effectively extract user-interacted items and their domain information. However, this raises a problem: sparse interaction data leads to incomplete captu作者: Substance-Abuse 時間: 2025-3-29 03:39 作者: Optometrist 時間: 2025-3-29 10:13
GCCR: GAT-Based Category-Aware Course Recommendations. While existing course recommendation methods have shown good performance, they still overlook the learning sequence from easy to difficult and the correlation between different disciplinary categories, resulting in unsatisfactory performance. To tackle these, we propose a .AT-Based .ategory-aware作者: strdulate 時間: 2025-3-29 12:05
Exploring Word Composition Knowledge in?Language Usagesndamental part. The patterns on words that are systematically linked together are acknowledged as the word composition knowledge. We explore this knowledge by combining the syntax information with word semantics and verify it through a series of empirical experiments on multiple datasets. From the l作者: Interstellar 時間: 2025-3-29 18:30 作者: Bmd955 時間: 2025-3-29 21:33
Adversarial Attacks on Large Language Models attacks pose a significant threat to LLMs, as prior research has demonstrated their vulnerability, resulting in prediction inaccuracies. This paper offers a foundational overview of LLMs and traces their developmental trajectory. We systematically classify and compare adversarial examples on LLMs b作者: 一條卷發(fā) 時間: 2025-3-30 03:07 作者: 帽子 時間: 2025-3-30 05:11
IIU: Independent Inference Units for?Knowledge-Based Visual Question Answeringing methods is that they focus more on modeling the inter-modal and intra-modal correlations, which entangles complex multimodal clues by implicit embeddings and lacks interpretability and generalization ability. The key challenge to solve the above problem is to separate the information and process作者: Override 時間: 2025-3-30 11:34 作者: 不能平靜 時間: 2025-3-30 12:52
A Hierarchical Neural Task Scheduling Algorithm in?the?Operating System of?Neuromorphic Computersc hardware, which delivers versatile solutions in a multitude of scenarios. In this context, we introduce DarwinOS Scheduler-a hierarchical distributed operating system framework optimized for configurable multi-core neuromorphic chips with synchronous communication. This scheduler adeptly manages n作者: Factorable 時間: 2025-3-30 20:01
Efficient Data Asset Right Provenance for?Data Asset Trading Based on?Blockchaining data asset trading lacks effective and efficient provenance of data asset right changes. To this end, firstly, a provenance-oriented data asset right model DARM is designed to achieve both forward recording and reverse provenance of changes to data asset right. Secondly, through the derivation t作者: 陰險 時間: 2025-3-30 21:18
CGCL: A Novel Collaborative Graph Contrastive Learning Network for?Chinese NERutilize dictionaries and embeddings to solve the Chinese NER task, which is effective. However, the methods of using lexical embedding are limited by the fixed content of the dictionary, and a large number of self-matched words will blur text boundaries to interfere with the prediction. Due to the m作者: 能夠支付 時間: 2025-3-31 03:22 作者: 北京人起源 時間: 2025-3-31 07:28
WaveSegNet: Wavelet Transform and?Multi-scale Focusing Network for?Scrap Steel Segmentation promoting the green transformation of the steel industry. However, the current scrap steel recycling faces a series of challenges, such as high labor intensity and occupational risks for inspectors, complex and diverse sources of scrap steel, varying types of materials, and difficulties in quantify作者: GROG 時間: 2025-3-31 10:39 作者: 做方舟 時間: 2025-3-31 15:23 作者: 能夠支付 時間: 2025-3-31 19:58
