標(biāo)題: Titlebook: Big Data Analytics in Astronomy, Science, and Engineering; 11th International C Shelly Sachdeva,Yutaka Watanobe Conference proceedings 2024 [打印本頁(yè)] 作者: 弄碎 時(shí)間: 2025-3-21 17:50
書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering影響因子(影響力)
書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering影響因子(影響力)學(xué)科排名
書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering被引頻次
書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering被引頻次學(xué)科排名
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書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering讀者反饋
書(shū)目名稱Big Data Analytics in Astronomy, Science, and Engineering讀者反饋學(xué)科排名
作者: Keratectomy 時(shí)間: 2025-3-21 22:06
Machine Learning in?Particle Physicsth the aid of examples and recent work, this article attempts to give a flavor of the effect of these advances on particle physics, including brief mention of cloud computing, classic machine learning techniques, statistics applications, new ML/AI techniques, reinforcement learning, and other advances. Suggestions are made regarding the future.作者: Ossification 時(shí)間: 2025-3-22 00:36 作者: CHOP 時(shí)間: 2025-3-22 06:03
978-3-031-58501-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 浪費(fèi)時(shí)間 時(shí)間: 2025-3-22 11:05 作者: Delectable 時(shí)間: 2025-3-22 14:42 作者: CLAMP 時(shí)間: 2025-3-22 19:46
,Traitement ponctuel des images numériques,use of existing models which are primarily pre-trained on English. Therefore, previous approaches have focused on building language-specific models for non-English languages. In this work, we investigate the efficacy of low resource language specific models (like GreekBERT) and compare their perform作者: 殺子女者 時(shí)間: 2025-3-23 00:14 作者: 拱墻 時(shí)間: 2025-3-23 03:58 作者: 表皮 時(shí)間: 2025-3-23 05:52 作者: accessory 時(shí)間: 2025-3-23 13:23 作者: KEGEL 時(shí)間: 2025-3-23 13:59
Introduction aux méthodes numériquestransmitting nanomachines to a receiving nano-machine by utilizing molecules that disperse through the medium. This Paper uses the DMC Approach for Modeling Viral Transmission over Respiratory System. It is noticeable that the complete respiratory tract is responsible to grade the severity of the di作者: grotto 時(shí)間: 2025-3-23 18:57 作者: GLOSS 時(shí)間: 2025-3-24 00:00
,équations aux dérivées partielles,nt platforms like Education, Business, E-commerce, and predominantly, social media platforms such as Twitter, YouTube, Facebook, and Instagram. Amidst this proliferation of content, user comments have emerged as a crucial element, serving as a platform for expressions of opinions, commendations, and作者: insert 時(shí)間: 2025-3-24 06:04
Introduction aux méthodes numériquesgating accidents and reducing emissions. Since AVs operate with little or no human intervention, it is very essential to perceive the external world and understand different objects and their relationships in the scene, and respond appropriately. For doing this effectively, AVs need to be trained on作者: 刪減 時(shí)間: 2025-3-24 07:55 作者: obtuse 時(shí)間: 2025-3-24 12:52 作者: 背景 時(shí)間: 2025-3-24 17:40
https://doi.org/10.1007/2-287-28199-1s. Existing research focuses on bilinear pooling-based factorization methods (LowFER, TuckER) to solve this problem. These approaches introduce too many trainable parameters which obstruct the deployment of these techniques in many real-world scenarios. In this paper, we introduce a novel parameter-作者: NATAL 時(shí)間: 2025-3-24 22:05
Approximation et interpolation,identity, and the interoperability within virtual economies. Through a blend of theoretical scrutiny and practical insights, the research illuminates blockchain’s capacity to authenticate digital asset ownership, forge unified player profiles, and streamline interactions across various gaming platfo作者: 冰雹 時(shí)間: 2025-3-25 02:06 作者: 步兵 時(shí)間: 2025-3-25 04:38 作者: padding 時(shí)間: 2025-3-25 07:48 作者: 微粒 時(shí)間: 2025-3-25 15:39 作者: 言外之意 時(shí)間: 2025-3-25 17:39
Conference proceedings 2024ich took place in Aizu, Japan during December 5–7, 2023...The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science an作者: 噴油井 時(shí)間: 2025-3-25 20:51 作者: Polydipsia 時(shí)間: 2025-3-26 02:56
Introduction To Lagrangian Dynamicsosed application is experimentally validated, by showing that the extracted topics reflect real-world events. Finally, obtained results are compared to these originating from a different tool, used for investigating topic popularity.作者: INERT 時(shí)間: 2025-3-26 05:23 作者: 發(fā)現(xiàn) 時(shí)間: 2025-3-26 10:59
https://doi.org/10.1007/2-287-28199-1aches (LowFER, TuckER) for the knowledge graph completion task while retaining 88% performance for the best baseline. Furthermore, we also provide novel insights on the interpretability of relation embeddings. We also test the effectiveness of KGRP on a large-scale recruitment knowledge graph of 0.25M entities.作者: IOTA 時(shí)間: 2025-3-26 14:00 作者: 形上升才刺激 時(shí)間: 2025-3-26 20:31
Twitter Sentiment Analysis in?Resource Limited Languagey for the English tweets but also for the non-English tweets (Greek) translated to English. We present a detailed summary of model performance for sentiment classsification of non-English (Greek) tweets.作者: TOM 時(shí)間: 2025-3-26 21:49 作者: 雄辯 時(shí)間: 2025-3-27 02:56 作者: 信徒 時(shí)間: 2025-3-27 08:37
From Silos to?Unity: Seamless Cross-Platform Gaming by Leveraging Blockchain Technologyators, and additional key players. It emphasizes the criticality of norms, scalability, and user acceptance. Thus, this study advocates for a comprehensive approach to unlock blockchain’s vast capabilities in enhancing cross-platform gaming experiences.作者: 平 時(shí)間: 2025-3-27 11:11
AI-Based Assistance for?Management of?Oral Community Knowledge in?Low-Resource and?Colloquial Kannadow-resource languages like Kannada and rural colloquial dialects, publicly available corpora are significantly less. Building state-of-the-art AI solutions is challenging in this context, and we address this problem in this work. Knowledge management in rural communities requires a low-cost and effi作者: HEDGE 時(shí)間: 2025-3-27 16:22
Querying Healthcare Data in Knowledge-Based Systemshe compositions are stored and the query result obtained from this component is sent back to User Interface. It stands out with its innovative approach, systematically extracting openEHR schemas and simplifying the creation of complex AQL queries. The system’s effectiveness and user satisfaction mak作者: 黃油沒(méi)有 時(shí)間: 2025-3-27 21:04 作者: 大漩渦 時(shí)間: 2025-3-28 00:30
Boosting Diagnostic Accuracy of?Osteoporosis in?Knee Radiograph Through Fine-Tuning CNNoutperformed the one without fine-tuning with an 86.36% accuracy, 86.67% precision, 86.36% recall and 86.34% f1-score, which makes it a potential and reliable model for osteoporosis prediction. The automated diagnosis approach built on CNN can help practitioners promptly, correctly, and reliably ide作者: FRET 時(shí)間: 2025-3-28 03:45 作者: Perennial長(zhǎng)期的 時(shí)間: 2025-3-28 06:52 作者: 出處 時(shí)間: 2025-3-28 11:04 作者: 確保 時(shí)間: 2025-3-28 18:35
Vector-Based Semantic Scenario Search for?Vehicular TrafficThis paper discusses a method for vector based scenario search using a natural language interface for describing traffic scenarios. We first generate textual descriptions of snapshots of traffic scenarios captured from instrumenting vehicles using image captioning libraries. Next, we create vector e作者: installment 時(shí)間: 2025-3-28 20:37 作者: 慢慢流出 時(shí)間: 2025-3-28 23:49
Vayu Vishleshan: AQI Monitoring and Reduction Analysising, and the second is AQI reduction. AQI Monitoring covers sensing particulate matter (PM), PM2.5, PM10, NO2, and CO and performing analysis over the AQI data before, during, and following Agnihotra (Yagya). According to analysis, there is an approximate 6–7% decrease in CO levels and an approximat作者: 痛打 時(shí)間: 2025-3-29 04:09 作者: 含糊其辭 時(shí)間: 2025-3-29 10:12
Introduction To Lagrangian Dynamicsow-resource languages like Kannada and rural colloquial dialects, publicly available corpora are significantly less. Building state-of-the-art AI solutions is challenging in this context, and we address this problem in this work. Knowledge management in rural communities requires a low-cost and effi作者: instill 時(shí)間: 2025-3-29 14:49 作者: 確定無(wú)疑 時(shí)間: 2025-3-29 19:06
Approximation et interpolation,eral limitations: a) they operate in silos, so they only support certain types of analyses, thus complicating the biological interpretation of results; b) they are often executable only via Web interfaces, overlooking the parallelism and efficiency offered by modern supercomputers; c) functional ana作者: 彎彎曲曲 時(shí)間: 2025-3-29 21:52
Approximation et interpolation,outperformed the one without fine-tuning with an 86.36% accuracy, 86.67% precision, 86.36% recall and 86.34% f1-score, which makes it a potential and reliable model for osteoporosis prediction. The automated diagnosis approach built on CNN can help practitioners promptly, correctly, and reliably ide作者: 符合國(guó)情 時(shí)間: 2025-3-30 02:33
Introduction aux méthodes numériqueshout multipliers. The new algorithm uses a low-complex, non-uniform histogram gradient to compute thresholds and variable sigma values that replace the add and shift operator instead of multipliers to reduce the area and sigma. The simulation is done in the ModelSim platform using VHDL code which re作者: 流逝 時(shí)間: 2025-3-30 04:42 作者: 恭維 時(shí)間: 2025-3-30 10:15
,équations aux dérivées partielles, of machine learning models, including Decision Trees, Random Forests (RF), Naive Bayes, K-Nearest Neighbors, Gradient Boosting, AdaBoost, Logistic Regression, and Support Vector Machines (SVM) for comment classification. Furthermore, fundamental voting techniques such as Hard-Voting, Averaging, and作者: 乞丐 時(shí)間: 2025-3-30 14:55
Introduction aux méthodes numériquesThis paper discusses a method for vector based scenario search using a natural language interface for describing traffic scenarios. We first generate textual descriptions of snapshots of traffic scenarios captured from instrumenting vehicles using image captioning libraries. Next, we create vector e作者: BARGE 時(shí)間: 2025-3-30 17:18 作者: 警告 時(shí)間: 2025-3-31 00:01
Introduction aux méthodes numériquesing, and the second is AQI reduction. AQI Monitoring covers sensing particulate matter (PM), PM2.5, PM10, NO2, and CO and performing analysis over the AQI data before, during, and following Agnihotra (Yagya). According to analysis, there is an approximate 6–7% decrease in CO levels and an approximat作者: semble 時(shí)間: 2025-3-31 03:45 作者: 不出名 時(shí)間: 2025-3-31 08:36
Topic Modeling Applied to?Reddit Posts Reddit, their volume is vast and, typically, only a small subset of posts is studied. To overcame problem of data size, topic modeling can be applied, to extract the main ideas from the documents. However, as it will be shown, different modeling techniques may produce very different results. Specif作者: 盡管 時(shí)間: 2025-3-31 12:42
Twitter Sentiment Analysis in?Resource Limited Languageuse of existing models which are primarily pre-trained on English. Therefore, previous approaches have focused on building language-specific models for non-English languages. In this work, we investigate the efficacy of low resource language specific models (like GreekBERT) and compare their perform作者: 躲債 時(shí)間: 2025-3-31 15:29
Querying Healthcare Data in Knowledge-Based Systemsenges in querying healthcare data lie in the complexity of extracting meaningful insights from vast and heterogeneous datasets. EHRs store different forms of data, and query systems’ scalability and performance, especially considering the increasing volume of EHR data, are the main challenges faced.作者: 新鮮 時(shí)間: 2025-3-31 17:51 作者: START 時(shí)間: 2025-3-31 23:20
