標題: Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Zhanjun Si,Yijie Pan Conference proceeding [打印本頁] 作者: HABIT 時間: 2025-3-21 16:06
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: Tincture 時間: 2025-3-21 23:39
Deep Neural Network-Based Intrusion Detection in Internet of Things: A State-of-the-Art Reviewe method to mitigate these threats, encompassing Botnet, DDoS, and Scan attacks. Due to the rapid development of machine learning technology in recent years, deep neural networks (DNNs) emerge as powerful models utilized to significantly enhance the accuracy performance of intrusion detection system作者: 徹底明白 時間: 2025-3-22 03:08
CNN-SENet: A Convolutional Neural Network Model for Audio Snoring Detection Based on Channel Attentixisting technologies face challenges due to the diversity of signals caused by individual physiological differences, as well as the non-linearity and multi-dimensional complexity of the signals themselves, making accurate and robust snoring monitoring difficult. To address these issues, this study p作者: 有角 時間: 2025-3-22 05:56 作者: 窩轉(zhuǎn)脊椎動物 時間: 2025-3-22 09:25 作者: wall-stress 時間: 2025-3-22 16:23 作者: 可用 時間: 2025-3-22 20:48
Improved CNN Model Using Innovative Adaptive-DropMessage for Gomoku Game the CNN framework. This method, combined with techniques including attention mechanisms, residual dense blocks, and depth-wise separable convolutions. The Adaptive-Drop Message method dynamically discards portions of feature map nodes based on loss values, finely controlling the activity of neurons作者: 變形詞 時間: 2025-3-22 22:29
A Survey: Feature Fusion Method for Object Detection Fieldnecessitate rich object representations, such as image classification, semantic segmentation, and object detection. The Feature Pyramid Network (FPN) was proposed in 2017 for object detection, emerged as a groundbreaking work in the area of feature fusion methods. Subsequently, a variety of powerful作者: antedate 時間: 2025-3-23 05:18
Dual-Branch Collaborative Learning for Visual Question Answeringused graph-based methods for visual reasoning, but graph-based methods cannot perform better reasoning when the connection between the question statement and the visual object is unclear. In this paper, we design a dual-branch network based on collaborative learning that can simultaneously focus on 作者: 社團 時間: 2025-3-23 06:13 作者: 考得 時間: 2025-3-23 12:10 作者: 使隔離 時間: 2025-3-23 14:08 作者: 東西 時間: 2025-3-23 18:51 作者: disciplined 時間: 2025-3-24 00:13
From Vision to Sound: The Application of ViT-LSTM in Music Sequence generating music sequences from music data features. We conducted this research using the MAESTRO dataset, which covers various MIDI files primarily focused on piano music. The data preprocessing involved hot encoding techniques and the creation of training and validation datasets using a sliding w作者: Congestion 時間: 2025-3-24 02:44
Graph Convolution Recommendation Algorithm Integrating Multi-relationship Preferencesgorithms have limitations when processing complex structured data. This paper improves the message propagation layer by considering user social relationships and item similarity relationships. Firstly, An item similarity calculation method that combines user activity is proposed, which combines soci作者: SOBER 時間: 2025-3-24 08:07 作者: 排斥 時間: 2025-3-24 11:01 作者: 身心疲憊 時間: 2025-3-24 17:17 作者: Interstellar 時間: 2025-3-24 22:23 作者: 上釉彩 時間: 2025-3-25 02:39
Conference proceedings 2024 refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on the theories作者: 青石板 時間: 2025-3-25 04:50
Selecting Effective Triplet Contrastive Loss for Domain Alignmenttrastive loss. We find an effective triplet contrastive loss by comparing the range of the three triplet contrastive losses and the rate of hard negative loss pairs. Then, the triplet contrastive loss is applied in domain alignment tasks to explore class invariant representations, demonstrating its effectiveness on five standard benchmarks.作者: blister 時間: 2025-3-25 09:12
From Vision to Sound: The Application of ViT-LSTM in Music Sequenceindow strategy. We comprehensively evaluated the performance of this model using two metrics: generation diversity and generation quality. The experimental results demonstrate that ViT-LSTM can generate diverse and high quality music compared to other classical deep learning models, with a higher signal-to-noise ratio in the generated music.作者: 表皮 時間: 2025-3-25 13:57 作者: kyphoplasty 時間: 2025-3-25 18:52 作者: 過份好問 時間: 2025-3-25 21:13
https://doi.org/10.1007/978-3-642-66866-1ditionally, we compare their techniques utilized, results, advantages, and disadvantages. Finally, we analyze the existing challenges and open issues and suggest some insightful future research works.作者: curettage 時間: 2025-3-26 02:13 作者: 政府 時間: 2025-3-26 08:16
Deep Neural Network-Based Intrusion Detection in Internet of Things: A State-of-the-Art Reviewditionally, we compare their techniques utilized, results, advantages, and disadvantages. Finally, we analyze the existing challenges and open issues and suggest some insightful future research works.作者: 公社 時間: 2025-3-26 08:30
Intrusion Detection System Based on ViTCycleGAN and Rules rules to reach a final determination. Through validation on the NSL-KDD dataset and CIC-DDOS2019 dataset, the proposed scheme achieves accuracies of 98.32% and 99.23%, respectively, providing new research insights and solutions in the field of intrusion detection.作者: 改進 時間: 2025-3-26 15:04
Conference proceedings 2024ons. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..作者: 我不重要 時間: 2025-3-26 20:26 作者: 莎草 時間: 2025-3-26 22:58
Variabilit?t – Ohne Vielfalt keine Evolutionlize question information, and the joint prediction module we designed can fully integrate the performance of the two branches. Extensive experimental results demonstrate that our proposed method outperforms the current state-of-the-art methods in terms of performance.作者: 包租車船 時間: 2025-3-27 01:25 作者: 最小 時間: 2025-3-27 05:47
https://doi.org/10.1007/978-3-642-92192-6rsor neurons before activation occurs. Each neuron transmits its path and knowledge to its successor through waves while objective neurons calculate final recognition based on received waves and output optimal solutions. Evaluation using four public datasets shows that TSWNN outperforms A*, Dijkstra, Label, and TDNN.作者: MODE 時間: 2025-3-27 13:18 作者: 茁壯成長 時間: 2025-3-27 14:23 作者: 微塵 時間: 2025-3-27 18:30
SCAI: A Spectral Data Classification Framework with Adaptive Inference for Rapid and Portable Identi on important information. To our knowledge, this paper is the first attempt to leverage adaptive inference for liquor identification. The experimental results show that our method can achieve higher identification performance (+6%?+?13% under the same budget) with less computational budget (1/6 for the same performance) than existing methods.作者: 爭吵 時間: 2025-3-28 01:10 作者: 壟斷 時間: 2025-3-28 06:04 作者: hermitage 時間: 2025-3-28 08:12
Trust Evaluation with Deep Learning in Online Social Networks: A State-of-the-Art Reviewcomplexity as network size expands, and imbalanced datasets typically lead to reduced model accuracy and generalization. Lastly, it presents several promising avenues for future research in the field.作者: ALLEY 時間: 2025-3-28 10:28
CNN-SENet: A Convolutional Neural Network Model for Audio Snoring Detection Based on Channel Attenti focus on multidimensional feature weights, ensuring high robustness and excellent analysis efficiency in the face of environmental noise interference. Experimental results validate the effectiveness of the proposed model, achieving 100% snoring recognition accuracy in noiseless environments and mai作者: 行業(yè) 時間: 2025-3-28 15:09 作者: ILEUM 時間: 2025-3-28 20:34 作者: debble 時間: 2025-3-29 01:51
A Survey: Feature Fusion Method for Object Detection Fieldopological fusion structures. The paper conducts analyses and summarizes the mechanisms of these two types of structures, introduced the evaluation dataset and evaluation indicators, accompanied by a collation of open-source codes for mainstream feature fusion architectures. Ultimately, through syst作者: CLAY 時間: 2025-3-29 06:55
EfficientPose: A Lightweight and Efficient Model with Transformer for Human Pose Estimationntroduced into the model. Meanwhile, to overcome the issue of excessively long training time for lightweight models, a novel iterative training strategy is proposed to fully unleash the potential of EfficientPose. To validate the effectiveness of EfficientPose model, extensive comparative experiment作者: hauteur 時間: 2025-3-29 08:48 作者: GRATE 時間: 2025-3-29 14:08 作者: avarice 時間: 2025-3-29 17:10
Graph Convolution Recommendation Algorithm Integrating Multi-relationship Preferencespagation layer to achieve prediction. Experimental verification was conducted on the Lastfm data set. The experimental results show that the performance of this method is the best, proving the effectiveness of the method.作者: N斯巴達人 時間: 2025-3-29 19:54
Joint Prior Relation Enhancement and Non-autoregressive Decoding for Document-Level Event Extractionon-autoregressive decoding algorithm based on an optimized pseudo triggers selection strategy, which efficiently extracts multiple event argument combinations in a joint parallel manner, significantly improving the efficiency of model extraction. Comparative experiments validate the outstanding perf作者: instate 時間: 2025-3-30 03:14
0302-9743 applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..978-981-97-5587-5978-981-97-5588-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Fulminate 時間: 2025-3-30 06:11
P. Jürgens,C. Panteliades,G. Fondalinskicomplexity as network size expands, and imbalanced datasets typically lead to reduced model accuracy and generalization. Lastly, it presents several promising avenues for future research in the field.作者: Ischemia 時間: 2025-3-30 11:19 作者: Optometrist 時間: 2025-3-30 13:39 作者: 詞匯記憶方法 時間: 2025-3-30 19:13
https://doi.org/10.1007/978-3-642-91992-3tion of key information within the graph. Additionally, our Graph Contrastive Learning (GCL) method uniquely eliminates the need for pre-graph augmentation and avoids the requirement of two additional forward trainings in each mini-batch. We name our proposed method MDGCL. Experiments on three publi作者: Hangar 時間: 2025-3-30 20:59
https://doi.org/10.1007/978-3-322-82433-2opological fusion structures. The paper conducts analyses and summarizes the mechanisms of these two types of structures, introduced the evaluation dataset and evaluation indicators, accompanied by a collation of open-source codes for mainstream feature fusion architectures. Ultimately, through syst作者: 流逝 時間: 2025-3-31 03:10
Variabilit?t – Ohne Vielfalt keine Evolutionntroduced into the model. Meanwhile, to overcome the issue of excessively long training time for lightweight models, a novel iterative training strategy is proposed to fully unleash the potential of EfficientPose. To validate the effectiveness of EfficientPose model, extensive comparative experiment作者: Albinism 時間: 2025-3-31 06:41
Variabilit?t – Ohne Vielfalt keine Evolutionenrich semantic representation. Experimental results demonstrate that compared to the baseline model, DFL-NER achieves F1-score improvements of 7.14%, 0.37%, and 1.81% on the Weibo, Resume, and MSRA datasets, respectively, showcasing outstanding performance.
