標(biāo)題: Titlebook: Advances in Neural Networks – ISNN 2024; 18th International S Xinyi Le,Zhijun Zhang Conference proceedings 2024 The Editor(s) (if applicabl [打印本頁(yè)] 作者: culinary 時(shí)間: 2025-3-21 17:21
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024影響因子(影響力)
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024被引頻次
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024被引頻次學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024年度引用
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024年度引用學(xué)科排名
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024讀者反饋
書(shū)目名稱(chēng)Advances in Neural Networks – ISNN 2024讀者反饋學(xué)科排名
作者: coltish 時(shí)間: 2025-3-21 21:44
978-981-97-4398-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: maverick 時(shí)間: 2025-3-22 03:29
Advances in Neural Networks – ISNN 2024978-981-97-4399-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 組成 時(shí)間: 2025-3-22 05:03 作者: Flawless 時(shí)間: 2025-3-22 12:27 作者: Meditative 時(shí)間: 2025-3-22 16:21
Besteuerung des finanziellen Ergebnisses,CC), utilizing the Karush-Kuhn-Tucker (KKT) theorem. We address the inherent nonconvexity of MPCC by applying the linear transformation, which effectively relaxes the complementary slackness conditions to semi-positive definite quadratic constraints, thereby facilitating the transformation of the pr作者: 侵蝕 時(shí)間: 2025-3-22 20:50 作者: scrutiny 時(shí)間: 2025-3-22 22:14 作者: Asperity 時(shí)間: 2025-3-23 05:17 作者: Aqueous-Humor 時(shí)間: 2025-3-23 07:22 作者: 不開(kāi)心 時(shí)間: 2025-3-23 09:55 作者: 有危險(xiǎn) 時(shí)間: 2025-3-23 16:58
Grundzüge der VolkswirtschaftslehreTS) vocoders cannot reconstruct the waveform well in this scenario. In this paper, we propose HiFi-WaveGAN to synthesize the 48?kHz high-quality singing voices in real-time. Specifically, it consists of an Extended WaveNet that served as a generator, a multi-period discriminator proposed in HiFiGAN,作者: 前奏曲 時(shí)間: 2025-3-23 19:11
Grundzüge der Volkswirtschaftslehreiffusion models, our method combines latent 3D knowledge as priors to reconstruct 3D scenes. This facilitates the generation of high-fidelity 3D content from a solitary 2D viewpoint. We employ a two-stage process, beginning with fine-tuning a diffusion model on a given image viewpoint, followed by o作者: 圓柱 時(shí)間: 2025-3-23 23:04 作者: 難取悅 時(shí)間: 2025-3-24 02:49 作者: arthrodesis 時(shí)間: 2025-3-24 10:08
https://doi.org/10.1007/978-3-322-83664-9Voice Synthesis (SVS) systems, which led to an increase in the demand for accurately labeled data. In response to this need, this work introduces an Aligned Phoneme Sequence Transcription (APST) model for automatic song datasets annotation, called PhonHuBERT. This model uses HuBERT - a pre-trained s作者: overweight 時(shí)間: 2025-3-24 13:54 作者: Pageant 時(shí)間: 2025-3-24 14:54 作者: 注射器 時(shí)間: 2025-3-24 21:42 作者: chiropractor 時(shí)間: 2025-3-25 01:07 作者: Mosaic 時(shí)間: 2025-3-25 04:53
https://doi.org/10.1007/978-3-662-53362-8s in intelligent transportation. The primary challenge lies in the effective fusion of RGB and infrared images. Presently, the fusion process is hindered by two aspects: firstly, the misalignment between RGB and infrared images complicates the fusion process; secondly, the substantial differences in作者: 偏狂癥 時(shí)間: 2025-3-25 09:21
Conference proceedings 2024on Algorithms; Adversarial Learning, Transfer Learning, and Deep Learning; Signal, Image, and Video Processing; Modeling, Analysis, and Implementation of Neural Networks; Control Systems, Robotics, and Autonomous Driving; Fault Diagnosis and Intelligent Industry & Bio-signal, Bioinformatics, and Biomedical Engineering..作者: Altitude 時(shí)間: 2025-3-25 12:21
Besteuerung des finanziellen Ergebnisses,oblem into convex programming. Furthermore, we introduce a projection neural network designed for resolving the MPCC efficiently. This neural network is structured to guarantee convergence from any initial point to the optimal solution of the original problem. The efficacy of our methodology is validated through a numerical simulation.作者: Digitalis 時(shí)間: 2025-3-25 18:11
Volkswirtschaft und Volkswirtschaftslehre, loops to accelerate the proximal gradient. Moreover, a safe mode comes with the acceleration in the outer loop to enhance monotonic convergence. We conduct experiments on both synthetic and real-world tensors. The results demonstrate that the proposed algorithm outperforms state-of-the-art algorithms in running speed and accuracy.作者: hermitage 時(shí)間: 2025-3-25 21:55 作者: 吸引人的花招 時(shí)間: 2025-3-26 01:06 作者: Mundane 時(shí)間: 2025-3-26 07:09
PhonHuBERT: A Phoneme Transcription Tool for?Song Datasetsligned Phoneme Sequence Transcription (APST) model for automatic song datasets annotation, called PhonHuBERT. This model uses HuBERT - a pre-trained self-supervised model for voice features classification - as an encoder, combined with Bidirectional Long-Short Term Memory (BLSTM) networks as a decoder.作者: Constant 時(shí)間: 2025-3-26 10:40 作者: legitimate 時(shí)間: 2025-3-26 16:35
Besteuerung der Unternehmensleistungen,stablished continuous time optimization algorithm utilizing quantized event-triggered communication converges to an optimal solution Finally, the simulations characterize the effectiveness of the proposed algorithm.作者: electrolyte 時(shí)間: 2025-3-26 18:46
https://doi.org/10.1007/978-3-322-83664-9put demonstrated by diverse experiments. Our method provides a simple yet practical, computationally efficient solution for few-shot NeRF, paving the way for NeRF in real-world applications where image data is typically sparse.作者: Interim 時(shí)間: 2025-3-26 22:34
https://doi.org/10.1007/978-3-662-07624-8 the images cut by MoCa, thereby increasing the diversity of the objects and enhancing the generalization ability of the model. DiffMoCa demonstrates its capabilities in extensive experiments, wherein it surpasses MoCa by 2.2% in mAP on the KITTI dataset under moderate conditions.作者: 干旱 時(shí)間: 2025-3-27 02:14 作者: 小臼 時(shí)間: 2025-3-27 07:05
A Novel Entropy-Based Regularization for?NeRF to?View Synthesis in?Few-Shot Scenariosput demonstrated by diverse experiments. Our method provides a simple yet practical, computationally efficient solution for few-shot NeRF, paving the way for NeRF in real-world applications where image data is typically sparse.作者: Nonconformist 時(shí)間: 2025-3-27 11:09 作者: CBC471 時(shí)間: 2025-3-27 13:54
A Novel Neurodynamic Approach to?Bilevel Quadratic Programmingoblem into convex programming. Furthermore, we introduce a projection neural network designed for resolving the MPCC efficiently. This neural network is structured to guarantee convergence from any initial point to the optimal solution of the original problem. The efficacy of our methodology is validated through a numerical simulation.作者: irradicable 時(shí)間: 2025-3-27 20:20 作者: HACK 時(shí)間: 2025-3-28 00:25
0302-9743 ementation of Neural Networks; Control Systems, Robotics, and Autonomous Driving; Fault Diagnosis and Intelligent Industry & Bio-signal, Bioinformatics, and Biomedical Engineering..978-981-97-4398-8978-981-97-4399-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: NEXUS 時(shí)間: 2025-3-28 05:18 作者: Deduct 時(shí)間: 2025-3-28 09:50 作者: 無(wú)脊椎 時(shí)間: 2025-3-28 11:06
Grundzüge der Volkswirtschaftslehreilized to approximate the real distribution further. The experimental results (Demo page: .) show that our proposed HiFi-WaveGAN obtains 4.23 in the mean opinion score (MOS) metric for the 48?kHz SVS task, significantly outperforming other neural vocoders.作者: Adrenal-Glands 時(shí)間: 2025-3-28 18:31
Grundzüge der Volkswirtschaftslehrer training on multiple views, and is applicable to both real-world and synthetic datasets. The resultant 3D reconstructions exhibit detailed geometry and realistic textures, closely matching the input images.作者: calumniate 時(shí)間: 2025-3-28 19:09
Statistik der Preise und des Verbrauchseometry and utilize a hypernet to predict the parameters of the multilayer perceptron responsible for scene appearance information. This approach facilitates a generalized style transfer across multiple scenes while maintaining the three-dimensional consistency of the scenes.作者: Visual-Acuity 時(shí)間: 2025-3-29 01:57
Digitaler Wandel von Unternehmen,. Experimental results show that TPRF achieves comparable clean and robust accuracies to state-of-the-art (SOTA) CNNs. We also conduct an analysis of misclassification cases, which offers insights valuable for further exploration of object recognition models that rely on shape bias.作者: Grasping 時(shí)間: 2025-3-29 03:16
A Penalty-Like Neurodynamic Approach to?Convex Optimization Problems with?Set Constraintecific parameters that are difficult to handle out, it has a greater possibility of implement. Therefore, the approach owns highly efficient when faced with real life problems. Two quadratic convex optimization problems are given at the end of the paper to confirm the efficiency of the approach.作者: HAIL 時(shí)間: 2025-3-29 10:55 作者: dermatomyositis 時(shí)間: 2025-3-29 13:51
HiFi-WaveGAN: Generative Adversarial Network with?Auxiliary Spectrogram-Phase Loss for?High-Fidelityilized to approximate the real distribution further. The experimental results (Demo page: .) show that our proposed HiFi-WaveGAN obtains 4.23 in the mean opinion score (MOS) metric for the 48?kHz SVS task, significantly outperforming other neural vocoders.作者: Tincture 時(shí)間: 2025-3-29 15:58 作者: 串通 時(shí)間: 2025-3-29 21:52 作者: 太空 時(shí)間: 2025-3-30 00:18 作者: Neuropeptides 時(shí)間: 2025-3-30 07:16
A Continuous-Time Algorithm with?Quantified Event-Triggered for?Distributed Resource Allocation Optillocation optimization. The introduction of an event-triggered communication mechanism aims to diminish the consumption of communication bandwidth. Besides, the quantization of communication information is applied within the multi-agent system to accommodate its restricted communication capacity. Mo作者: transient-pain 時(shí)間: 2025-3-30 11:20 作者: insurgent 時(shí)間: 2025-3-30 13:20
A Collaborative Neurodynamic Optimization Algorithm of?Eco-Routing with?Electricity Allocation for?Pynamic optimization (CNO) algorithm. The directed graphon model is used to formulate the problem as a mixed integer optimization problem, which enables us to utilize the CNO algorithm. Since the total fuel consumption along the selected route is chosen as the cost of the eco-routing problem, on-boar作者: phytochemicals 時(shí)間: 2025-3-30 18:22 作者: 避開(kāi) 時(shí)間: 2025-3-31 00:24 作者: 襲擊 時(shí)間: 2025-3-31 02:00
Doubly Accelerated Proximal Gradient for?Nonnegative Tensor Decompositionerate the computation. However, large-scale tensor decomposition still requires more efficient algorithms. In this paper, we propose a doubly accelerated proximal gradient algorithm. Specifically, in the block coordinate descent framework, we utilize double extrapolations in both the inner and outer作者: Root494 時(shí)間: 2025-3-31 07:14 作者: GOUGE 時(shí)間: 2025-3-31 10:22 作者: Buttress 時(shí)間: 2025-3-31 15:40 作者: V切開(kāi) 時(shí)間: 2025-3-31 19:28 作者: 是他笨 時(shí)間: 2025-3-31 23:23 作者: CHAFE 時(shí)間: 2025-4-1 05:46
PhonHuBERT: A Phoneme Transcription Tool for?Song DatasetsVoice Synthesis (SVS) systems, which led to an increase in the demand for accurately labeled data. In response to this need, this work introduces an Aligned Phoneme Sequence Transcription (APST) model for automatic song datasets annotation, called PhonHuBERT. This model uses HuBERT - a pre-trained s作者: 短程旅游 時(shí)間: 2025-4-1 06:16
Audio-LLM: Activating the?Capabilities of?Large Language Models to?Comprehend Audio Dataes of large language models to comprehend audio data. Our task entails introducing an encoding method that effectively transforms audio data into embedded representations, enabling LLMs to comprehend and process the information contained within the audio. By undergoing a series of fine-tuning stages作者: Leisureliness 時(shí)間: 2025-4-1 11:20 作者: Somber 時(shí)間: 2025-4-1 16:55 作者: Throttle 時(shí)間: 2025-4-1 20:54
