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標(biāo)題: Titlebook: Neural Computing for Advanced Applications; 5th International Co Haijun Zhang,Xianxian Li,Qian He Conference proceedings 2025 The Editor(s) [打印本頁]

作者: 令人不愉快    時間: 2025-3-21 19:45
書目名稱Neural Computing for Advanced Applications影響因子(影響力)




書目名稱Neural Computing for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Neural Computing for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Neural Computing for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Computing for Advanced Applications被引頻次




書目名稱Neural Computing for Advanced Applications被引頻次學(xué)科排名




書目名稱Neural Computing for Advanced Applications年度引用




書目名稱Neural Computing for Advanced Applications年度引用學(xué)科排名




書目名稱Neural Computing for Advanced Applications讀者反饋




書目名稱Neural Computing for Advanced Applications讀者反饋學(xué)科排名





作者: 健談    時間: 2025-3-21 20:40

作者: 缺陷    時間: 2025-3-22 01:57
978-981-97-7006-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: IRK    時間: 2025-3-22 07:59
Neural Computing for Advanced Applications978-981-97-7007-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: Hectic    時間: 2025-3-22 12:35

作者: finite    時間: 2025-3-22 16:28

作者: Mumble    時間: 2025-3-22 17:59
Temporal Knowledge Graph Link Prediction Using Synergized Large Language Models and Temporal Knowledcertain challenges. However, through collaboration, large language models and temporal knowledge graphs can complement each other, addressing their respective shortcomings. This collaborative approach aims to harness the potential feasibility and practical effectiveness of large language models as e
作者: 正式演說    時間: 2025-3-22 21:50
A New Multi-level Knowledge Retrieval Model for?Task-Oriented Dialogueally retrieve knowledge and entire entity by utilizing dialogue context, while the correlations between dialogue context and entity attributes are overlook, leading suboptimal knowledge retrieval. Therefore, we introduce a Multi-Level knowledge retrieval model for Task-Oriented Dialogue (MLTOD) cons
作者: delegate    時間: 2025-3-23 03:00
FPLGen: A Personalized Dialogue System Based on?Feature Prompt Learninging characteristics that already belong to a certain person. However, utilizing personality information for personalized response generation remains a non-trivial task. The system must consider both the user’s conversation history and personality description, posing challenges for coherent model tra
作者: hemoglobin    時間: 2025-3-23 06:01
Ensemble Learning with?Feature Fusion for?Well-Overflow Detectiononditions and varying geological environments. Moreover, conventional approaches often fail to fully leverage big data resources. Therefore, this study aims to improve the accuracy of kick prediction through machine learning models, especially by adopting an innovative feature fusion strategy to opt
作者: GOAD    時間: 2025-3-23 11:13
CE-DSLAM: A Dynamic SLAM Framework Based on?Human Contact Experience for?Escort Robotsonments. When dynamic objects appear in indoor environments, the matching of dynamic points on the object can interfere with the camera pose and leave stains on the map. Although semantic segmentation methods can remove potential dynamic objects, dynamic objects will not be detected for some movable
作者: 智力高    時間: 2025-3-23 14:27

作者: 有組織    時間: 2025-3-23 20:55

作者: 巨頭    時間: 2025-3-24 00:37
Psychological Consultation Dialogue Generation Based on Multi-label Classification Model and GPThe use and effectiveness of counseling chatbots, such as how to make autoregressive models such as GPT able to understand complex counseling texts, how to be more attuned to the subject matter of the visitor‘s question to avoid meaningless answers, and how to generate gentle conversational language
作者: Confound    時間: 2025-3-24 05:59
DRLN: Disentangled Representation Learning Network for?Multimodal Sentiment Analysis Previously, a considerable amount of research had commonly focused on fusing these three modalities equally, neglecting the importance of text modality and the influence of modal heterogeneity on fusion. To address this issue, we propose the Disentangled Representation Learning Network (DRLN) which
作者: BOLT    時間: 2025-3-24 10:21

作者: 馬賽克    時間: 2025-3-24 12:24
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition processing and affective computing. However, the unique brain anatomy of individuals leads to non-negligible natural differences in EEG signals across subjects, posing challenges for cross-subject emotion recognition. While recent studies have attempted to address these issues, they still face limi
作者: flaunt    時間: 2025-3-24 16:02
Rehabilitation Training Program Recommendation System Based on ALBERT-LDA Modelents with physical disability is a hot spot of current research. Traditional rehabilitation training program recommendation methods often ignore the contextual semantic information and potential semantic information in physical evaluation, resulting in inaccurate semantic expression and low accuracy
作者: AMITY    時間: 2025-3-24 21:39

作者: 殘酷的地方    時間: 2025-3-25 00:55
Explicit Facial Attribute Disentanglement for?Hierarchical Relationships Detectionributes unchanged. However, editing multiple facial attributes often results in unintentional alterations to other unedited attributes. This primarily occurs because current generative models do not consider the hierarchical relationships among facial attributes, treating each attribute independentl
作者: nautical    時間: 2025-3-25 05:41
A Federated Learning Method for?Non-intrusive Load Monitoring Based on?Fed-Prox and?Bi-GRUlts. Most existing NILM models are typically trained on data from an individual user, and thus may have poor performance when applied for load recognition of other users. Achieving load recognition across different households requires joint training of models with data collected from different users
作者: diskitis    時間: 2025-3-25 08:57

作者: ULCER    時間: 2025-3-25 13:05
Qixuan Zhang,Jiale Chen,Haitao Wang,Xinyu Cao,Wei Jie,Tianyong Haol parkinsonism, including molecular processes, tissue integrity, and cerebral networks during inflammatory and neurodegenerative processes. The chapters in this book are organized into three parts and cover topics such as new developments of cerebral circuit characterizations and computational neuro
作者: 禮節(jié)    時間: 2025-3-25 17:03
Yao Chen,Yuming Shenfor the development of potential disease-delaying treatments. Toxins such as 6-hydroxydopamine (6-OHDA) or N-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) have long been known to cause Parkinson’s disease in susceptible humans when ingested accidentally. The neurotoxin 6-OHDA was used to create
作者: 合群    時間: 2025-3-25 20:13

作者: 心胸開闊    時間: 2025-3-26 01:16

作者: 百科全書    時間: 2025-3-26 05:30

作者: 解決    時間: 2025-3-26 10:07
Jilin Zhang,Ke Huang,Yichen Li,Hao Zhu,Peiran Li,Menghua Zhangly, the incidence of AD is expected to double in the next 20 years. Yet, currently approved therapies provide only marginal short-term benefit. Thus, there is a critical need to accelerate translational research for AD. One area of study that has received increasing attention is the potential applic
作者: GIST    時間: 2025-3-26 15:46

作者: erythema    時間: 2025-3-26 20:18

作者: 無辜    時間: 2025-3-27 00:23

作者: Mirage    時間: 2025-3-27 03:59
Jingming Hou,Nazlia Omar,Sabrina Tiun,Saidah Saad,Qian Heo aphasia rehabilitation and recovery, as well as investigations of the language-related brain mechanisms, especially when attempting to integrate findings derived from basic neuroscience and studies with clinical populations. In the section that follows, we describe the dual model for language proc
作者: 膝蓋    時間: 2025-3-27 07:18
Shaopei Long,Yong Li,Heng Weng,Buzhou Tang,Fu Lee Wang,Tianyong Haoontitis can modify the expression of those diseases. The area that looks forward in those relationships is called periodontal medicine. Offenbacher described periodontal medicine as a discipline that focuses on the investigation of associations between periodontal diseases and systemic diseases and
作者: municipality    時間: 2025-3-27 13:23
Yihang Dong,Xuhang Chen,Yanyan Shen,Michael Kwok-Po Ng,Tao Qian,Shuqiang Wangcanti (Science 260:920–926, 1993). Today it is a rapidly growing field of research expanding to all disciplines in medicine. Currently, it is possible to engineer both hard and soft tissues in oral and maxillofacial surgery..Tissue engineering consists usually of three components: scaffolds, cells,
作者: hemorrhage    時間: 2025-3-27 15:22

作者: transient-pain    時間: 2025-3-27 21:51
Qi Zhu,Jingjing Cao,Zhangyi Xuutics are?used for standard patient care, targeted therapeutic approaches so far?did not add a considerable survival benefit. Mild-?to absent response to standard or targeted therapies can be attributed to the genetic-epigenetic?heterogeneity of the tumor in general. On the other hand, immunotherape
作者: 感激小女    時間: 2025-3-27 23:18

作者: Cocker    時間: 2025-3-28 06:02

作者: BUDGE    時間: 2025-3-28 06:35
Conference proceedings 2025Guilin, China, during July 5–7, 2024...The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections:..Part I: Neural network (NN) theory, NN-based control systems, neuro-system integrat
作者: corporate    時間: 2025-3-28 14:10
1865-0929 , held in Guilin, China, during July 5–7, 2024...The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections:..Part I: Neural network (NN) theory, NN-based control systems, neuro-syste
作者: 無聊點好    時間: 2025-3-28 15:28

作者: gerrymander    時間: 2025-3-28 20:41

作者: 為現(xiàn)場    時間: 2025-3-29 02:55
Conference proceedings 2025s, their engineering applications, and benchmarks...Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications;?Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security..
作者: OASIS    時間: 2025-3-29 03:23
Qixuan Zhang,Jiale Chen,Haitao Wang,Xinyu Cao,Wei Jie,Tianyong Haomprehensive, .Translational Methods for Parkinson’s Disease and Atypical Parkinsonism Research .is a valuable resource that provides a new perspective on the disease from a scientific and clinical point of view, and highlights the importance of available and emerging technologies..
作者: refine    時間: 2025-3-29 08:00

作者: Commodious    時間: 2025-3-29 14:01
Xuelian Dong,Jiale Chen,Heng Weng,Zili Chen,Fu Lee Wang,Tianyong Haotreat DPD early in patients. Cognitive behavioral therapy (CBT) is recommended for DPD psychotherapy. Common clinical depression scales are recommended for assessments of the severity of depressive symptoms in PD. The treatment decision-making process must consider both the potential benefit and adverse effects in PD and NPS.
作者: 反復(fù)拉緊    時間: 2025-3-29 16:24

作者: Painstaking    時間: 2025-3-29 21:21

作者: 同步信息    時間: 2025-3-30 02:41
Xiaozhuang Zhu,Qianqian Xu,Nuo Gaoplemented in clinical practice or are already being tested in (early) clinical trials, such asthose that targeting the immune systems and strategies to overcome immunotherapy resistance; phase 1 clinical trials and translational approaches in surgical treatment.?.Written by experts in their fields,
作者: nitric-oxide    時間: 2025-3-30 04:22

作者: 步履蹣跚    時間: 2025-3-30 08:56
A Similarity Index Time-Effect Collaborative Filtering Algorithm Based on Attentional Double BP Netwattention mechanism is designed to process the adequately processed data. Experiments were conducted on the MovieLens datasets (ml-1m) and (ml-100k), wherein our proposed approach was benchmarked against several state-of-the-art (SOTA) deep learning methods. The obtained results indicate that the mo
作者: 治愈    時間: 2025-3-30 15:03
Temporal Knowledge Graph Link Prediction Using Synergized Large Language Models and Temporal Knowledesults underscore the positive impact of this synergized model on the completion tasks of temporal knowledge graphs, showcasing its potential to address gaps in knowledge and improve overall performance. While its influence on prediction tasks is relatively weak, the collaborative synergy demonstrat
作者: 安心地散步    時間: 2025-3-30 17:15

作者: 肥料    時間: 2025-3-30 22:51
FPLGen: A Personalized Dialogue System Based on?Feature Prompt Learningders. The system incorporates our unique information enhancement and feature-prompted learning strategies, enabling comprehensive dialog synthesis. To validate our model’s efficacy, we conducted experiments on the Chinese persona chat dataset. The results, compared to baseline models, provide irrefu
作者: 小樣他閑聊    時間: 2025-3-31 01:21

作者: addition    時間: 2025-3-31 05:40

作者: gastritis    時間: 2025-3-31 12:39

作者: cumber    時間: 2025-3-31 17:07

作者: Daily-Value    時間: 2025-3-31 20:38

作者: 苦惱    時間: 2025-3-31 22:37

作者: 退出可食用    時間: 2025-4-1 02:13
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognitionin signal modeling and interlinked spatial-temporal attention mechanism. The model learns universal latent representations of EEG signals through pre-training on large scale dataset, and employs Interlinked spatial-temporal attention mechanism to process Differential Entropy(DE) features extracted f
作者: 去掉    時間: 2025-4-1 07:14
Rehabilitation Training Program Recommendation System Based on ALBERT-LDA Modelation and the ALBERT model to obtain the word level semantic representation. Secondly, TextCNN is adopted to achieve feature extraction and dimension reduction of the word level semantic of the body evaluation text, and then hierarchical attention mechanism is used to reconstruct the dimensionality
作者: 堅毅    時間: 2025-4-1 12:30





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