標(biāo)題: Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Jiayang Guo Conference proce [打印本頁] 作者: CURD 時(shí)間: 2025-3-21 17:04
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: Prosaic 時(shí)間: 2025-3-21 21:47 作者: 沙發(fā) 時(shí)間: 2025-3-22 03:45 作者: 抱怨 時(shí)間: 2025-3-22 08:13
Anomaly Detection of Transmission Line Large Metal Based on EGFPN-YOLO and UAVsYOLO is proposed. The model combines the latest YOLOv8n algorithm, with particular improvements in the detection head, designing an efficient and lightweight detection head called EfficientHead. Additionally, inspired by the RepGFPN method, the Neck part of the model is improved by introducing the C作者: 拋棄的貨物 時(shí)間: 2025-3-22 11:29 作者: 嚴(yán)重傷害 時(shí)間: 2025-3-22 14:30 作者: 陳腐思想 時(shí)間: 2025-3-22 19:22 作者: 惡意 時(shí)間: 2025-3-22 22:54
AYOLOv8: Improved Detector Based on YOLOv8 to Focus More on Small and Medium Objectseries and has attracted the attention of scholars due to its excellent detection performance. However, this model shows slightly inferior detection performance for small and medium-sized objects. To cope with this issue, in this paper, we propose three effective modules and embed them to YOLOv8 for 作者: expansive 時(shí)間: 2025-3-23 04:37
SFERNet: Student Facial Expression Recognition Using Superpixel-Assisted Global Semantic Enhancementapturing non-local dependencies with semantic continuity and representing fine-grained local features. To tackle these issues, we propose SFERNet, a novel emotion computation network based on semantic-enhanced global dependency modeling and fine-grained feature compensation. Firstly, we introduce a 作者: DEVIL 時(shí)間: 2025-3-23 06:01 作者: 拉開這車床 時(shí)間: 2025-3-23 13:01 作者: 糾纏 時(shí)間: 2025-3-23 17:42 作者: Entropion 時(shí)間: 2025-3-23 20:13
Unsupervised Variable-Level Adversarial Representation Learning for Multivariate Time Seriesly capture the individual features of each variable, but it is difficult to capture the correlation and difference between variables. To solve this issue, an unsupervised variable-level adversarial representation learning model is developed for MTS, called VATSRL. ., our model regards multi-variate 作者: voluble 時(shí)間: 2025-3-24 02:12 作者: DIKE 時(shí)間: 2025-3-24 04:14 作者: 潔凈 時(shí)間: 2025-3-24 10:14
Research on Hidden Mind-Wandering Detection Algorithm for Online Classroom Based on Temporal Analysibehavior, this paper proposes and designs an attention detection algorithm based on the temporal analysis of gaze direction. The algorithm aims to detect hidden distraction phenomena during online classes. The algorithm utilizes the FaceSSD face detection model and the Dlib-based facial landmark det作者: misanthrope 時(shí)間: 2025-3-24 11:45
Dual Consistency Regularization for Semi-supervised Medical Image Segmentationfor medical image segmentation, existing methods are prone to produce inaccurate predictions in target edge regions due to the low contrast at organ boundaries. To address the above problem, we propose a novel dual consistency regularization network (DC-Net) for semi-supervised medical image segment作者: 使習(xí)慣于 時(shí)間: 2025-3-24 18:52
A Progressive Learning Approach for Sound Event Detection with Temporal and Spectral Features Fusionbiles. While recent works in SED have achieved significant performance improvements through fine-tuning pre-trained frame-wise audio tagging (AT) models, bridging the gap between AT and SED tasks, a common limitation is their exclusive reliance on spectral features for input. This leads to a challen作者: 進(jìn)入 時(shí)間: 2025-3-24 21:49 作者: conflate 時(shí)間: 2025-3-25 02:38 作者: aqueduct 時(shí)間: 2025-3-25 05:18 作者: etidronate 時(shí)間: 2025-3-25 10:44
Grundlagen der Finanzwissenschafte testing faces. We also conduct voting from the CRC output to decide the label of the unknown face cubes. Experiments show that histogram of oriented gradients achieves 100% correct classification rate for the CMU-HSFD dataset and local binary patterns obtain 96.8% correct classification rate for the PolyU-HSFD dataset.作者: arousal 時(shí)間: 2025-3-25 12:30 作者: 小平面 時(shí)間: 2025-3-25 18:30 作者: insidious 時(shí)間: 2025-3-25 21:13
Cross-Project Software Defect Prediction Based on Feature Selection and Knowledge Distillationdels trained on source projects to target projects. These challenges hinder the effectiveness of CPDP. In this paper, we introduce a cross-project software defect prediction model based on feature selection and knowledge distillation (FSKDP) to overcome these limitations.作者: Override 時(shí)間: 2025-3-26 01:30
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: 聯(lián)邦 時(shí)間: 2025-3-26 05:12 作者: Density 時(shí)間: 2025-3-26 11:31 作者: Promotion 時(shí)間: 2025-3-26 12:44
Saliency Detection Based on a Novel Color Channel Volume and Background Likelihood Weightolor channel volume and obtain an initial salient map by removing the found background region. Finally, we proposed improved multimodal histogram thresholding to refine the initial salient map and further extract a final salient map. Experimental results on two public image datasets show that our ap作者: BLOT 時(shí)間: 2025-3-26 20:43
Anomaly Detection of Transmission Line Large Metal Based on EGFPN-YOLO and UAVsmprovement in mAP50 detection accuracy from 68.3% to 79.4%, and an increase in mAP50-95 from 35.1% to 42.4%. These significant performance improvements make our method a more efficient solution for detecting abnormally large fittings in transmission lines.作者: 諷刺 時(shí)間: 2025-3-26 21:48
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information optimization. Additionally, we integrate photometric loss and geometric loss into loss function as geometric consistency loss to achieve geometric constraints. Empirical experiments have showcased the superior performance of Depth-NeuS over existing technologies across various scenarios. Moreover作者: Coronation 時(shí)間: 2025-3-27 03:16 作者: ARM 時(shí)間: 2025-3-27 06:31
Boosting Robustness of Silhouette-Based Gait Recognition Against Adversarial Attacksnhance edge information in images. The objective is to compel deep neural networks to focus more on semantic information in gait silhouette images and reduce feature deviations induced by adversarial perturbations. The method can significantly improve the adversarial robustness of silhouette-based g作者: Costume 時(shí)間: 2025-3-27 11:56 作者: Throttle 時(shí)間: 2025-3-27 15:16 作者: gene-therapy 時(shí)間: 2025-3-27 18:49
Sparse Discriminant Graph Embedding for Feature Extractiongonal constraint and a sparse constraint simultaneously, ensuring the preservation of key information from the original data while enhancing robustness against noise. Extensive experiments on four real-world databases demonstrate the competitiveness of SDGE against state-of-the-art feature extractio作者: 無能的人 時(shí)間: 2025-3-27 22:31
A Multi-Scale Additive Enhanced Network for Remote Sensing Scene Classificationting the problem of high inter class similarity. A Multi-Scale Additive Enhanced Network (MSAENet) is proposed based on MSAE Block and Bridging Residual Module (BRM) and is validated on two datasets, WHU-SIRI and AID. Based on experimental data, the classification accuracy of MSAENet is better than 作者: 人充滿活力 時(shí)間: 2025-3-28 02:12
SeWi: A Framework Enhancing CSI-Based Human Activity Recognitionifferent models as the basic models for SeWi. We also analyze the effective range of hyperparameters for this segmentation method. The results indicate that SeWi exhibits varying degrees of improvement for different models. Of particular note, using ResNet18 as the basic model for SeWi, the accuracy作者: antenna 時(shí)間: 2025-3-28 09:55 作者: 相反放置 時(shí)間: 2025-3-28 12:42
Research on Hidden Mind-Wandering Detection Algorithm for Online Classroom Based on Temporal Analysiorithm can quickly and effectively detect students’ distraction phenomena, including daydreaming, distraction, and hidden activities like using mobile phones in blind spots of the camera’s visual capture. This research is significant for helping teachers evaluate students’ performance in online clas作者: 注意 時(shí)間: 2025-3-28 17:06
Dual Consistency Regularization for Semi-supervised Medical Image Segmentation models, aiming to minimize the discrepancy among different model outputs. For task consistency, we promote consistency between the segmentation maps and the pixel-level probability maps transformation from the signed distance maps (SDM), thereby constructing the geometric contours of the target to 作者: Omniscient 時(shí)間: 2025-3-28 22:39 作者: annexation 時(shí)間: 2025-3-28 23:49
Advanced Intelligent Computing Technology and Applications20th International C作者: Tracheotomy 時(shí)間: 2025-3-29 03:07
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..978-981-97-5593-6978-981-97-5594-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: pulmonary-edema 時(shí)間: 2025-3-29 10:26 作者: sulcus 時(shí)間: 2025-3-29 14:37 作者: aplomb 時(shí)間: 2025-3-29 16:15
https://doi.org/10.1007/b138519mprovement in mAP50 detection accuracy from 68.3% to 79.4%, and an increase in mAP50-95 from 35.1% to 42.4%. These significant performance improvements make our method a more efficient solution for detecting abnormally large fittings in transmission lines.作者: 蜈蚣 時(shí)間: 2025-3-29 23:25
Grundlagen der Finanzwissenschafton optimization. Additionally, we integrate photometric loss and geometric loss into loss function as geometric consistency loss to achieve geometric constraints. Empirical experiments have showcased the superior performance of Depth-NeuS over existing technologies across various scenarios. Moreover作者: Scintigraphy 時(shí)間: 2025-3-30 03:23
Grundlagen der Funktionentheorierk for gait recognition. We propose to extract low-level gait dynamic features by temporal module, then design capsule layers based on human body alignment module to extract high-level gait features, then design harmonization module to reduce overfitting risks by combining global and local gait feat作者: Occipital-Lobe 時(shí)間: 2025-3-30 04:57
https://doi.org/10.1007/978-3-322-98481-4nhance edge information in images. The objective is to compel deep neural networks to focus more on semantic information in gait silhouette images and reduce feature deviations induced by adversarial perturbations. The method can significantly improve the adversarial robustness of silhouette-based g作者: 死亡 時(shí)間: 2025-3-30 11:36
https://doi.org/10.1007/978-3-322-90132-3e fusion is presented to reduce feature redundancy caused by the feature pyramid. Extensive experiments on MS COCO-2017 dataset show that AYOLOv8 significantly improves the performance for detecting small and medium-sized objects and achieves lower model complexity and better detection accuracy than作者: sigmoid-colon 時(shí)間: 2025-3-30 16:24 作者: 神圣將軍 時(shí)間: 2025-3-30 17:03
https://doi.org/10.1007/978-3-322-85675-3gonal constraint and a sparse constraint simultaneously, ensuring the preservation of key information from the original data while enhancing robustness against noise. Extensive experiments on four real-world databases demonstrate the competitiveness of SDGE against state-of-the-art feature extractio作者: CHAFE 時(shí)間: 2025-3-30 23:58
https://doi.org/10.1007/978-3-322-85675-3ting the problem of high inter class similarity. A Multi-Scale Additive Enhanced Network (MSAENet) is proposed based on MSAE Block and Bridging Residual Module (BRM) and is validated on two datasets, WHU-SIRI and AID. Based on experimental data, the classification accuracy of MSAENet is better than 作者: 事情 時(shí)間: 2025-3-31 02:43
https://doi.org/10.1007/978-3-663-10215-1ifferent models as the basic models for SeWi. We also analyze the effective range of hyperparameters for this segmentation method. The results indicate that SeWi exhibits varying degrees of improvement for different models. Of particular note, using ResNet18 as the basic model for SeWi, the accuracy作者: occult 時(shí)間: 2025-3-31 08:49 作者: 類似思想 時(shí)間: 2025-3-31 12:50
https://doi.org/10.1007/978-3-7091-8415-8orithm can quickly and effectively detect students’ distraction phenomena, including daydreaming, distraction, and hidden activities like using mobile phones in blind spots of the camera’s visual capture. This research is significant for helping teachers evaluate students’ performance in online clas作者: Lipoma 時(shí)間: 2025-3-31 16:40
,Anwendungen der Integrals?tze, Luftkr?fte, models, aiming to minimize the discrepancy among different model outputs. For task consistency, we promote consistency between the segmentation maps and the pixel-level probability maps transformation from the signed distance maps (SDM), thereby constructing the geometric contours of the target to 作者: 發(fā)酵劑 時(shí)間: 2025-3-31 21:33
Die Portfolioanalyse der Geldnachfragections. Through extensive experimentation, we demonstrate that our approach surpasses the reported State-Of-The-Art (SOTA) model in Polyphonic Sound Detection Score-scenario1 (PSDS.) and achieves a comparable result in Polyphonic Sound Detection Score-scenario2 (PSDS.) on the DCASE Challenge Task 4.作者: 惡名聲 時(shí)間: 2025-3-31 23:09 作者: ODIUM 時(shí)間: 2025-4-1 04:00
978-981-97-5593-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: creatine-kinase 時(shí)間: 2025-4-1 07:25 作者: –scent 時(shí)間: 2025-4-1 11:51 作者: Picks-Disease 時(shí)間: 2025-4-1 17:24
