標(biāo)題: Titlebook: Advances in Computational Collective Intelligence; 16th International C Ngoc-Than Nguyen,Bogdan Franczyk,Adrianna Kozierki Conference proce [打印本頁] 作者: 債務(wù)人 時間: 2025-3-21 18:36
書目名稱Advances in Computational Collective Intelligence影響因子(影響力)
書目名稱Advances in Computational Collective Intelligence影響因子(影響力)學(xué)科排名
書目名稱Advances in Computational Collective Intelligence網(wǎng)絡(luò)公開度
書目名稱Advances in Computational Collective Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Computational Collective Intelligence被引頻次
書目名稱Advances in Computational Collective Intelligence被引頻次學(xué)科排名
書目名稱Advances in Computational Collective Intelligence年度引用
書目名稱Advances in Computational Collective Intelligence年度引用學(xué)科排名
書目名稱Advances in Computational Collective Intelligence讀者反饋
書目名稱Advances in Computational Collective Intelligence讀者反饋學(xué)科排名
作者: 剝削 時間: 2025-3-21 21:25 作者: 匯總 時間: 2025-3-22 04:08 作者: Anthem 時間: 2025-3-22 05:49 作者: 缺陷 時間: 2025-3-22 09:12 作者: diathermy 時間: 2025-3-22 16:09 作者: 使出神 時間: 2025-3-22 21:06 作者: Commemorate 時間: 2025-3-22 23:31 作者: 防御 時間: 2025-3-23 02:03
Formalization of?Agent-Based Model of?Group Learning on generalising and formalising the model. The basic postulates and assumptions are described. Postulates on dividing agents into groups, groups size, and agents’ knowledge change are defined. The main postulates about the impact of agents’ characteristics on cooperation, communication and knowledg作者: lethal 時間: 2025-3-23 08:17 作者: colony 時間: 2025-3-23 12:32 作者: 身體萌芽 時間: 2025-3-23 15:50
CNN Classifier for?Helicobacter Pylori Detection in?Immunohistochemically Stained Gastric WSIs-validation on a set of patients with annotated patches, at sample and diagnosis level, and assessed reproducibility of diagnosis prediction on an independent set of patients. In the 5-fold cross-validation, our CNN model has an overall . of accuracy and . sensitivity in classification of . at samp作者: 同位素 時間: 2025-3-23 20:08 作者: incision 時間: 2025-3-23 23:06
Three-Stage Extraction of?Spatial Relationships Using Markersoint of evaluation reliability and reproducibility of the previous approaches. Several issues related to the SpaceEval dataset were identified and their potential impact on results was discussed. Problems with one of the SOTA systems were identified and discussed. In a broader context, we have ident作者: 追蹤 時間: 2025-3-24 02:50 作者: 圣人 時間: 2025-3-24 09:08 作者: sparse 時間: 2025-3-24 12:11
1865-0929 tworks and social media, anomalies detection, machine learning, deep learning, digital image processing, artificial intelligence, speech communication, IOT applications, natural language processing, innovative applications in data science..978-3-031-70247-1978-3-031-70248-8Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 耐寒 時間: 2025-3-24 16:31
Grundlagen des Beton- und Eisenbetonbauesnounced future electric vehicles, as well as different levels of charging infrastructure adopted, to look for the point where the driver behavior is not impacted at all, or only slightly impacted. The move to a larger scale requires adoption of some modification to the agent model, in order to decrease the computational requirements.作者: 老人病學(xué) 時間: 2025-3-24 20:32
,Einführung in das Rechtssystem,-based architectures, like Long Short-Term Memory (LSTM), can enhance performance in energy time-series forecasting tasks. To mitigate overfitting, the proposed model incorporates dropout layers to enhance its generalization capability.作者: 性冷淡 時間: 2025-3-24 23:32 作者: 樂器演奏者 時間: 2025-3-25 07:00
Towards Practical Large Scale Traffic Model of?Electric Transportationnounced future electric vehicles, as well as different levels of charging infrastructure adopted, to look for the point where the driver behavior is not impacted at all, or only slightly impacted. The move to a larger scale requires adoption of some modification to the agent model, in order to decrease the computational requirements.作者: 獨白 時間: 2025-3-25 09:05 作者: monogamy 時間: 2025-3-25 14:44
Interpretable Dense Embedding for?Large-Scale Textual Data via?Fast Fuzzy Clusteringtations of traditional sparse vectors and complexities of neural network models, offering improvements in text vectorization. It is particularly beneficial for applications such as news aggregation, content recommendation, semantic search, topic modeling, and text classification in large datasets.作者: Incumbent 時間: 2025-3-25 15:49 作者: 高歌 時間: 2025-3-25 23:43
,Einführung in das Rechtssystem, improving the contextual information in the sentence using the BERT technique with mechanism CNN. Extensive experiments on large-scale text data have demonstrated the remarkable efficiency of our model, an estimated percentage 92% compared to new and recent research studies.作者: galley 時間: 2025-3-26 00:38 作者: AVERT 時間: 2025-3-26 07:19 作者: Certainty 時間: 2025-3-26 12:02 作者: 表否定 時間: 2025-3-26 15:33
Big Textual Data Analytics Using Transformer-Based Deep Learning for?Decision Making improving the contextual information in the sentence using the BERT technique with mechanism CNN. Extensive experiments on large-scale text data have demonstrated the remarkable efficiency of our model, an estimated percentage 92% compared to new and recent research studies.作者: Conducive 時間: 2025-3-26 16:59
On the?Effect of?Quantization on?Deep Neural Networks Performancerical results from this comprehensive evaluation present a valuable understanding of how quantized models perform across diverse scenarios, particularly when compared to the performance of the original models.作者: 不能逃避 時間: 2025-3-26 22:39 作者: dendrites 時間: 2025-3-27 03:27 作者: 戲法 時間: 2025-3-27 08:07 作者: 敲竹杠 時間: 2025-3-27 12:17
The Development of an Application-Specific Instruction Set Processor Specialized on a Convolutional to the large number of contributions and subprojects. The three main components are the ONNX-MLIR project, the LLVM main project (mainly the clangd, the optimizer and a specific RISC-V backend developed by us) and an HLS Simulator project called Comet, used to design the architecture. After a series of modifications, Comet was renamed to AIDA.作者: Saline 時間: 2025-3-27 17:08
Conference proceedings 2024, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024...The 67 full papers included in this book were carefully reviewed and selected from 234 submissions...The main track, covering the methodology and applications of CCI, included: collective decision-making, data fusion, deep learnin作者: 瑣事 時間: 2025-3-27 20:10
Grundlagen des Beton- und Eisenbetonbauese learning applications. Therefore, methods for improving this quality may be of great practical value. The use of classifier committees and the proposed voting methods significantly improved the results comparing to base models.作者: 血友病 時間: 2025-3-28 00:26 作者: Insubordinate 時間: 2025-3-28 03:57
Formalization of?Agent-Based Model of?Group Learningation in small heterogeneous groups has been inspired by observations of human cooperation and characteristics. Most research, on how humans learn and cooperate in groups, comes from the psychology and pedagogy literature. Therefore, the model environment is inspired by the surroundings in which lea作者: 引起 時間: 2025-3-28 09:37 作者: 收藏品 時間: 2025-3-28 10:48 作者: 針葉類的樹 時間: 2025-3-28 17:36 作者: 四指套 時間: 2025-3-28 19:01
Rough Set Decision Rules for?Usage-Based Churn Modeling in?Mobile Telecommunicationsmers compared to retaining existing ones. To effectively guide anti-churn initiatives, it becomes crucial to point profitable clients with the highest likelihood of churning. However, the data utilized for identifying potential churners often carries inherent imprecision. In this study, we use a rou作者: 古文字學(xué) 時間: 2025-3-28 23:08 作者: 確認(rèn) 時間: 2025-3-29 05:58 作者: Cumulus 時間: 2025-3-29 08:35 作者: 高談闊論 時間: 2025-3-29 12:40 作者: 傻 時間: 2025-3-29 19:35
Big Textual Data Analytics Using Transformer-Based Deep Learning for?Decision MakingBERT and its branches, which have the potential to deal with big data analysis frameworks. This represents a qualitative leap in understanding large-sized textual data of the opinions of Web users in order to classify it into several poles, and it is an important motivation for valuing it and benefi作者: graphy 時間: 2025-3-29 23:16 作者: 比喻好 時間: 2025-3-29 23:53 作者: Grasping 時間: 2025-3-30 05:23
Three-Stage Extraction of?Spatial Relationships Using Markersn three datasets: English (CLEF2017 mSpRL, SpaceEval) and Polish (PST2.0). We propose a novel procedure for joint relation elements discovery and classification. It significantly reduces the number of possible triplets checked for representing relation instances. This results in significant improvem作者: defibrillator 時間: 2025-3-30 08:29 作者: 辮子帶來幫助 時間: 2025-3-30 14:58 作者: Metastasis 時間: 2025-3-30 18:17 作者: padding 時間: 2025-3-30 20:48 作者: 急性 時間: 2025-3-31 04:54 作者: PRO 時間: 2025-3-31 08:41
Advances in Computational Collective Intelligence978-3-031-70248-8Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: FLINT 時間: 2025-3-31 09:21
Grundlagen des Beton- und Eisenbetonbauesation in small heterogeneous groups has been inspired by observations of human cooperation and characteristics. Most research, on how humans learn and cooperate in groups, comes from the psychology and pedagogy literature. Therefore, the model environment is inspired by the surroundings in which lea作者: chronology 時間: 2025-3-31 17:26
Grundlagen des Beton- und Eisenbetonbaueses on improving the results of classification quality mainly by using different voting methods in different classifier committees. Examination of these methods was carried out on four classifier committees created from a total of 31 individual models. Classification quality is crucial in many machin作者: 光亮 時間: 2025-3-31 18:33
Grundlagen des Beton- und Eisenbetonbaues. Multiple generations of such vehicles had many serious limitations, which leads to multiple concerns being raised about their viability and impact on driver behavior. Literature mostly studies the problem in small scale, or from the point of view of electric grid. In this paper we conduct a large 作者: Expiration 時間: 2025-3-31 22:14
Grundlagen des Beton- und Eisenbetonbauessed attention due to its profound effects on?both individual health and corporate performance. Addressing and detecting stress has become an essential challenge in fostering a healthy work environment. Technological innovations, especially in the field?of affective computing, which involves various 作者: 溫順 時間: 2025-4-1 04:56
https://doi.org/10.1007/978-3-642-92135-3mers compared to retaining existing ones. To effectively guide anti-churn initiatives, it becomes crucial to point profitable clients with the highest likelihood of churning. However, the data utilized for identifying potential churners often carries inherent imprecision. In this study, we use a rou作者: Fallibility 時間: 2025-4-1 10:03
Grundlagen des Beton- und Eisenbetonbauesty and sensitivity, the preferred diagnosis technique is the analysis of histological images with immunohistochemical staining, a process in which certain stained antibodies bind to antigens of the biological element of interest. This analysis is a time consuming task, which is currently done by an 作者: characteristic 時間: 2025-4-1 13:58
Das Zusammenwirken von Beton und Eisennents lead to creation of the final model including data acquisition, image labeling, data preprocessing, model training, testing and key performance indicators computation. In general these tasks require significant hardware resources from both storage and computational power points of view. In thi
