標題: Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable [打印本頁] 作者: Strategy 時間: 2025-3-21 16:14
書目名稱Neural Information Processing影響因子(影響力)
書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Information Processing被引頻次
書目名稱Neural Information Processing被引頻次學(xué)科排名
書目名稱Neural Information Processing年度引用
書目名稱Neural Information Processing年度引用學(xué)科排名
書目名稱Neural Information Processing讀者反饋
書目名稱Neural Information Processing讀者反饋學(xué)科排名
作者: 來就得意 時間: 2025-3-21 23:48
Neural Information Processing978-981-99-8067-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: MAZE 時間: 2025-3-22 00:59 作者: FRAUD 時間: 2025-3-22 05:15
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663628.jpg作者: 和平 時間: 2025-3-22 11:30
https://doi.org/10.1007/978-981-99-8067-3pattern recognition; affective and cognitive learning; big data; bioinformatics; brain-machine interface作者: 規(guī)章 時間: 2025-3-22 16:51 作者: 指數(shù) 時間: 2025-3-22 17:22 作者: neoplasm 時間: 2025-3-22 21:32 作者: stress-response 時間: 2025-3-23 01:44
Xin-Xin Xu,Yi Jiang,Lei Zhang,Xun Liu,Xiang-Qian Ding,Zhi-Hui Zhanman die von einem Auftraggeber erworbenen Rechte an ihr diskutiert. Wem geh?ren zum Beispiel die Dokumentation und der Quellcode? Darf der Auftraggeber die von ihm erworbene Software überhaupt kopieren? Und — was kaum jemand wei? — bestimmte Programme, wie zum Beispiel Betriebssystemsoftware, gelten作者: BULLY 時間: 2025-3-23 08:29
rsetzung des amerikanischen .. Korrekt handelt es sich hierbei um .. Schon die Abgrenzung und erst recht die überwachung der unter einem Nutzungsvertrag zul?ssigen Benutzerhandlungen ist schwierig. Selbst ?lizenzfreie“ . ist dabei nicht problemlos: Ihre oft hohe Originalit?t begründet leicht Urheber作者: AER 時間: 2025-3-23 11:19 作者: Plaque 時間: 2025-3-23 17:47
Zhi Chen,Yongguo Liu,Yun Zhang,Jiajing Zhu,Qiaoqin Livice Providing (ASP) oder Business Service Providing (BSP). Der gemeinsame Nenner dabei war und ist, dass diese Art von nachfragegetriebenen Sourcing-Modellen einen flexiblen netzwerkbasierten Zugriff nicht nur auf IT-Ressourcen und Fachkompetenzen, sondern auch auf ein integriertes Portfolio komple作者: 厭煩 時間: 2025-3-23 18:51 作者: 混合 時間: 2025-3-24 00:26 作者: 闡釋 時間: 2025-3-24 04:29 作者: lymphoma 時間: 2025-3-24 07:04 作者: habile 時間: 2025-3-24 13:49 作者: 似少年 時間: 2025-3-24 15:52
MTLAN: Multi-Task Learning and?Auxiliary Network for?Enhanced Sentence Embedding representations are closer together, while distinct sentence representations exhibit clear differentiation. This paper proposes a novel sentence embedding model called MTLAN, which incorporates multi-task learning and auxiliary networks. The model utilizes the LaBSE model for extracting sentence fe作者: dialect 時間: 2025-3-24 19:14 作者: Hiatal-Hernia 時間: 2025-3-24 23:16 作者: TEM 時間: 2025-3-25 05:17
Privacy-Preserving Travel Time Prediction for?Internet of?Vehicles: A Crowdsensing and?Federated Lea investigated in the existing literature, most of them assume that the traffic data for estimating the travel time are comprehensive and public for free. However, accurate TTP needs real-time vehicular data so that the prediction can be adaptive to traffic changes. Moreover, since real-time data con作者: 繁榮地區(qū) 時間: 2025-3-25 11:19
A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI disabilities. Vigilance is an important cognitive state and has a close influence on the performance of users in BCI systems. In this study, a four-target BCI system for cursor control was built based on steady-state visual evoked potential (SSVEP) and twelve subjects were recruited and carried out作者: 過去分詞 時間: 2025-3-25 12:05 作者: VEIL 時間: 2025-3-25 17:15 作者: Tartar 時間: 2025-3-25 23:29
Block-Matching Multi-pedestrian Trackingppearance and dense distribution. The traditional approach of combining IOU and ReID techniques with the Hungarian algorithm only partially addresses these challenges. To improve the model’s matching ability, this paper proposes a block-matching model that extracts local features using a Block Match作者: 細絲 時間: 2025-3-26 02:33 作者: ABHOR 時間: 2025-3-26 04:22 作者: ANTE 時間: 2025-3-26 08:36 作者: nutrients 時間: 2025-3-26 14:38 作者: 反省 時間: 2025-3-26 20:47 作者: 有機體 時間: 2025-3-27 00:05
Brain-Inspired Binaural Sound Source Localization Method Based on?Liquid State Machinea leap in machine learning. However, prior approaches lack the ability to make a trade-off between parameter size and accuracy, which is a primary obstacle to their further implementation on resource-constrained devices. Spiking Neural Network (SNN)-based models have also emerged due to their inhere作者: 幻想 時間: 2025-3-27 04:41
A Causality-Based Interpretable Cognitive Diagnosis Model Nevertheless, deep learning-based CDMs are inherently opaque, posing challenges in providing psychological insights into the reasoning behind predicted outcomes. We address this by creating three interpretable parameters: skill mastery, exercise difficulty, and exercise discrimination. Inspired by 作者: tolerance 時間: 2025-3-27 07:39
RoBrain: Towards Robust Brain-to-Image Reconstruction via?Cross-Domain Contrastive Learningbrain has attracted more and more attention. Neural reconstruction task, which intends to reconstruct stimulus images from fMRI, is one of the most challenging tasks in neural decoding. Due to the instability of neural signals, trials of fMRI collected under the same stimulus prove to be very differ作者: 裙帶關(guān)系 時間: 2025-3-27 13:10
MTLAN: Multi-Task Learning and?Auxiliary Network for?Enhanced Sentence Embeddingets, including STS and SICK, to evaluate both monolingual sentence similarity and cross-lingual semantic similarity. The empirical results demonstrate the significant superiority of our proposed model over state-of-the-art methods.作者: Exclaim 時間: 2025-3-27 14:02
Correlated Online k-Nearest Neighbors Regressor Chain for?Online Multi-output Regressiont CONNRC consistently outperforms the other algorithms in terms of average Mean Absolute Error, demonstrating its superior accuracy in multi-output regression tasks. However, the time performance of CONNRC requires further improvement, indicating an area for future research and optimization.作者: 暫時休息 時間: 2025-3-27 19:19
Evolutionary Computation for Berth Allocation Problems: A SurveySecond, this paper introduces three typical EC algorithms (including genetic algorithm, particle swarm optimization, and ant colony optimization) and analyzes the existing studies of using these EC algorithms to solve BAPs. Finally, this paper analyzes the future research directions of the EC algori作者: 拾落穗 時間: 2025-3-27 23:27 作者: 盟軍 時間: 2025-3-28 02:43
A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI, the graph convolution network (GCN) was built to extract deep features of EEG. The fined-grained feature alignment was proposed to highlight the importance of the different channels figured out by the attention weights mechanism and aligns the feature distributions between source and target domain作者: 背書 時間: 2025-3-28 06:39
RMPE:Reducing Residual Membrane Potential Error for?Enabling High-Accuracy and?Ultra-low-latency Spiate RMPE. Finally, a two-stage ANN-SNN conversion scheme is proposed to eliminate the quantization error, the truncation error, and the RMPE separately. We evaluate our method on CIRFARs and ImageNet, and the experimental results show that the proposed ANN-SNN conversion method has a significant red作者: 繁榮中國 時間: 2025-3-28 11:53 作者: 中國紀念碑 時間: 2025-3-28 17:50
RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for?Autonomous Drivinga more robust and accurate fusion of features for improved 3D object detection. We validate the effectiveness of our RPF3D framework through extensive experiments on the KITTI and Waymo Open Datasets. The results demonstrate the superior performance of our approach compared to existing methods, part作者: 是他笨 時間: 2025-3-28 19:23
Traffic Signal Control Optimization Based on?Deep Reinforcement Learning with?Attention Mechanismsues. The experimental findings demonstrate the superior efficacy of the proposed method in critical metrics such as vehicle waiting time, queue length, and the number of halted vehicles when compared to D3QN, traditional DQN, and fixed timing strategies.作者: Abbreviate 時間: 2025-3-29 01:02
CMCI: A Robust Multimodal Fusion Method for?Spiking Neural NetworksModDrop) is introduced to further improve the robustness of multimodal SNNs in missing modalities. Experimental results show that our method exhibits superiority in both modality-complete and missing conditions without any additional networks or parameters.作者: BLA 時間: 2025-3-29 05:43 作者: arthrodesis 時間: 2025-3-29 09:31
Two-Stream Spectral-Temporal Denoising Network for?End-to-End Robust EEG-Based Emotion Recognitionle extracting discriminative features from noisy data for classifying emotions. Extensive experiments are conducted on two public datasets, SEED and SEED-IV, with the original EEG signals and the noisy EEG signals contaminated by EMG signals. Compared to the baselines, our TS-STDN model exhibits a n作者: PACK 時間: 2025-3-29 13:38 作者: Digitalis 時間: 2025-3-29 19:17 作者: prosthesis 時間: 2025-3-29 21:59
ehandelt werden die zentralen Themenkomplexe aus den Gebieten der konstruktiven und analytischen Qualit?tssicherung, der Software-Infrastruktur und der Managementprozesse..978-3-540-76323-9Series ISSN 1614-5216 作者: 巧辦法 時間: 2025-3-30 00:04 作者: 可憎 時間: 2025-3-30 06:32 作者: Hay-Fever 時間: 2025-3-30 11:30 作者: spinal-stenosis 時間: 2025-3-30 14:53
. Vor allem bei Standardpaketen oder kleineren Individualentwicklungen sollte man hier nicht zu hohe Ansprüche stellen. Solange sich die Fehlerzahl im Rahmen des (leider) üblichen h?lt, ist es meist sinnvoller, sich mit ihnen und dem Lieferanten ?zu arrangieren“, als unter allen Umst?nden sein ?gute作者: SUGAR 時間: 2025-3-30 18:57
Runhao Jiang,Jianing Han,Yingying Xue,Ping Wang,Huajin TangSaaS die letzten Akzeptanzbarrieren von Ondemand Software-L?sungen durchbrechen. Es wird vorhergesagt, dass SaaS auf Anwenderseite ausgereifte und umfassende Software-Dienstleistungen sowie einen flexiblen Zugang über einfach zu bedienende Internetschnittstellen bietet.作者: Cursory 時間: 2025-3-30 22:17 作者: 難聽的聲音 時間: 2025-3-31 02:17
Xuan-Hao Liu,Wei-Bang Jiang,Wei-Long Zheng,Bao-Liang LuSaaS die letzten Akzeptanzbarrieren von Ondemand Software-L?sungen durchbrechen. Es wird vorhergesagt, dass SaaS auf Anwenderseite ausgereifte und umfassende Software-Dienstleistungen sowie einen flexiblen Zugang über einfach zu bedienende Internetschnittstellen bietet.作者: Limousine 時間: 2025-3-31 07:43
Yuan Li,Jingyue Zhao,Xun Xiao,Renzhi Chen,Lei Wangeiten lassen. Inzwischen ist aber auch das ASP als Trend wieder ?out“ und durch einen neuen ersetzt worden, dem ?Software-as-a-Service“. Im Unterschied zum ASP, bei dem es grunds?tzlich m?glich ist, dass Anwendungen für spezifische Kunden betrieben werden, wird beim SaaS die Software als Standardpro作者: Infuriate 時間: 2025-3-31 10:33 作者: 擺動 時間: 2025-3-31 17:06
Che Liu,Changde Du,Huiguang Hestehen aus einer Folge von elementaren Operationen, womit sie auf unterster Ebene unter Einhaltung aller Echtzeitvorgaben parallelisiert werden k?nnen. Sie haben eine ?hnliche Bedeutung wie Mikrocode für CPUs. Selbst zur Laufzeit k?nnen neue Automatisierungsprimitiven in der Feldebene definiert, übe作者: 美色花錢 時間: 2025-3-31 20:22
Gang Liu,Tongli Wang,Wenli Yang,Zhizheng Yan,Kai Zhan作者: CRASS 時間: 2025-3-31 22:14
Hongyu Huang,Cui Sun,Xinyu Lei,Nankun Mu,Chunqiang Hu,Chao Chen,Huaqing Li,Yantao Li作者: 使?jié)M足 時間: 2025-4-1 03:04
Kangning Wang,Shuang Qiu,Wei Wei,Ying Gao,Huiguang He,Minpeng Xu,Dong Ming作者: 包租車船 時間: 2025-4-1 09:54 作者: 評論者 時間: 2025-4-1 10:34
Yuxiao Deng,Chuandong Li,Yawei Shi,Huiwei Wang,Huaqing Li“.”..作者: 絕種 時間: 2025-4-1 17:11
