標(biāo)題: Titlebook: Recent Challenges in Intelligent Information and Database Systems; 14th Asian Conferenc Edward Szczerbicki,Krystian Wojtkiewicz,Marek Krót [打印本頁(yè)] 作者: Considerate 時(shí)間: 2025-3-21 20:08
書目名稱Recent Challenges in Intelligent Information and Database Systems影響因子(影響力)
書目名稱Recent Challenges in Intelligent Information and Database Systems影響因子(影響力)學(xué)科排名
書目名稱Recent Challenges in Intelligent Information and Database Systems網(wǎng)絡(luò)公開(kāi)度
書目名稱Recent Challenges in Intelligent Information and Database Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Recent Challenges in Intelligent Information and Database Systems被引頻次
書目名稱Recent Challenges in Intelligent Information and Database Systems被引頻次學(xué)科排名
書目名稱Recent Challenges in Intelligent Information and Database Systems年度引用
書目名稱Recent Challenges in Intelligent Information and Database Systems年度引用學(xué)科排名
書目名稱Recent Challenges in Intelligent Information and Database Systems讀者反饋
書目名稱Recent Challenges in Intelligent Information and Database Systems讀者反饋學(xué)科排名
作者: SLAY 時(shí)間: 2025-3-21 21:36 作者: 我吃花盤旋 時(shí)間: 2025-3-22 04:00
978-981-19-8233-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: PAGAN 時(shí)間: 2025-3-22 05:13 作者: 拉開(kāi)這車床 時(shí)間: 2025-3-22 10:54
,Machine Learning-Based Recommender System for?Tweeting Factory in?Industry 5.0 Paradigm,asic concepts are discussed. It is indicated how the proposed solution fulfills the requirements concerning Industry 5.0 paradigm. The system also utilizes the idea of the Tweeting Factory [.] paradigm, making it easy to apply in various industry branches.作者: 改正 時(shí)間: 2025-3-22 15:23 作者: olfction 時(shí)間: 2025-3-22 18:30
,Exploring the?Effect of?Vehicle Appearance and?Motion for?Natural Language-Based Vehicle Retrieval,iency of each contribution in the overall framework. It confirms that not only appearance but additional motion cues are promising for vehicle retrieval, which provides the results of MRR, Rank@5 and Rank@10 are 0.2333, 0.3587 and 0.4837, respectively.作者: Extricate 時(shí)間: 2025-3-22 22:15
,Explaining Predictive Scheduling in?Cloud,n terms of computation. This paper first predicts resource usage in terms of CPU by applying the lightGBM model to a real dataset. Furthermore, using the explanations of SHapley Additive exPlanations (SHAP) in combination with the K-Nearest Neighbor (KNN) to interpolate missing values in the dataset作者: 冷漠 時(shí)間: 2025-3-23 01:46 作者: Subjugate 時(shí)間: 2025-3-23 07:11 作者: 分開(kāi)如此和諧 時(shí)間: 2025-3-23 11:13 作者: maudtin 時(shí)間: 2025-3-23 15:05 作者: fluffy 時(shí)間: 2025-3-23 18:51
Impact of Design Decisions on Performance of Embarrassingly Parallel .NET Database Application,rs of worker threads. They also helped to evaluate 4 DBMSes: Oracle, MySQL, PostgreSQL, and MSSQL in the scenario of serving parallel queries. Finally, they showed the impact of data chunk sizes on the overall performance.作者: Baffle 時(shí)間: 2025-3-23 23:07 作者: 云狀 時(shí)間: 2025-3-24 03:27 作者: 令人悲傷 時(shí)間: 2025-3-24 07:59 作者: Reclaim 時(shí)間: 2025-3-24 13:44 作者: Resistance 時(shí)間: 2025-3-24 17:53
Quang-Huy Can,Hong-Quan Nguyen,Thi-Ngoc-Diep Do,Hoai Phan,Thuy-Binh Nguyen,Thi Thanh Thuy Pham,Thanh作者: Canary 時(shí)間: 2025-3-24 20:10 作者: Ovulation 時(shí)間: 2025-3-25 01:14
Bartosz Grabowski,Przemys?aw G?omb,Kamil Ksi??ek,Krisztián Buza作者: 喪失 時(shí)間: 2025-3-25 07:22
Marek Grzegorowski,Andrzej Janusz,Jaros?aw Litwin,?ukasz Marcinowski作者: 地名表 時(shí)間: 2025-3-25 08:39 作者: 處理 時(shí)間: 2025-3-25 11:45
Tin Van Huynh,Huy Quoc To,Kiet Van Nguyen,Ngan Luu-Thuy Nguyen作者: 虛弱的神經(jīng) 時(shí)間: 2025-3-25 19:30
Jakub Kurczak,Katarzyna Bia?as,Rafal Chalupnik,Micha? Kedziora作者: Rinne-Test 時(shí)間: 2025-3-25 20:00
Emilia Koz?owska,Monika Giglok,Iwona D?bosz-Suwińska,Rafa? Suwiński,Andrzej ?wierniak作者: octogenarian 時(shí)間: 2025-3-26 00:43 作者: 剛毅 時(shí)間: 2025-3-26 04:20
Recent Challenges in Intelligent Information and Database Systems14th Asian Conferenc作者: 衰弱的心 時(shí)間: 2025-3-26 10:22 作者: animated 時(shí)間: 2025-3-26 15:17 作者: 建筑師 時(shí)間: 2025-3-26 20:16 作者: 預(yù)兆好 時(shí)間: 2025-3-27 00:03 作者: 挖掘 時(shí)間: 2025-3-27 01:30
Conference proceedings 2022ligent and contextual systems, natural language processing, network systems and applications, computational imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0.作者: 誘拐 時(shí)間: 2025-3-27 07:58 作者: 震驚 時(shí)間: 2025-3-27 10:00 作者: 一大塊 時(shí)間: 2025-3-27 17:19 作者: fleeting 時(shí)間: 2025-3-27 18:56 作者: 禍害隱伏 時(shí)間: 2025-3-28 00:33
,Error Investigation of?Pre-trained BERTology Models on?Vietnamese Natural Language Inference,nchmark dataset affect the performance of the pre-trained BETology-based models. In addition, the data parameters of ViNLI are also measured and analyzed on the accuracy of these models to see if it has any impact on the accuracy of the model.作者: 冰河期 時(shí)間: 2025-3-28 06:00
Predicting Metastasis-Free Survival Using Clinical Data in Non-small Cell Lung Cancer,dex?=?0.63 for a model with three clinical covariates. In addition, we created also a nomogram that could be applied to predicting the probability of metastases in newly diagnosed patients. In conclusion, solely based on clinical data, it is possible to predict the time to metastasis.作者: 人類 時(shí)間: 2025-3-28 09:28
,G-Fake: Tell Me How It is Shared and?I Shall Tell You If?It is Fake, the trustworthiness of users. In fact, G-Fake does not even require access to the underlying social graph, nor to the interactions between users. Our experimental evaluation conducted on real-world data shows that G-Fake can limit the spread of fake news in the earliest stages of propagation with an accuracy of 96.8%.作者: covert 時(shí)間: 2025-3-28 10:48
Shapley Additive Explanations for Text Classification and Sentiment Analysis of Internet Movie Datagative or positive labels. Our sentiment analysis model is evaluated on the Internet Movie Database (IMDB) datasets which have rich vocabulary and coherence of the textual data. Results showed that the model predicted 89% of the user reviews correctly. This model is very flexible for extending it to the unlabeled data.作者: hedonic 時(shí)間: 2025-3-28 15:32
,Supervised Learning Use to?Acquire Knowledge from?2D Analytic Geometry Problems,raining data set as balanced as possible, a target attained with the help of the subsampling technique. The originality retrieves in the preprocessing phase of the data, both in the case of identifying the geometric elements characteristics, and in the case of finding a solution for balancing the data set used.作者: fodlder 時(shí)間: 2025-3-28 22:36 作者: 職業(yè)拳擊手 時(shí)間: 2025-3-29 02:34 作者: 音樂(lè)等 時(shí)間: 2025-3-29 04:13 作者: 易于交談 時(shí)間: 2025-3-29 08:53
,Schema Formalism for?Semantic Summary Based on?Labeled Graph from?Heterogeneous Data,tion becomes a hot topic aiming to facilitate the identification of structure and meaning in data. The problem of graph summarization has been studied in the literature and many approaches for static contexts are proposed to summarize the graph in terms of its communities. These approaches typically作者: 移植 時(shí)間: 2025-3-29 14:09 作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-29 18:11
,Exploring the?Effect of?Vehicle Appearance and?Motion for?Natural Language-Based Vehicle Retrieval,es a method for retrieval of vehicles using a natural language-based query. Our method consists of two main components of textual extractor based on Bi-LSTM and visual extractor using ResNet-50 model. Both components extract hidden features from different modalities and then match them in a common s作者: ellagic-acid 時(shí)間: 2025-3-29 20:52 作者: lipoatrophy 時(shí)間: 2025-3-30 02:31 作者: endarterectomy 時(shí)間: 2025-3-30 05:59
Exploring Word Embedding for Arabic Sentiment Analysis,xpressed in a sentence. That More properties need to be considered. Word embeddings which are the key component for learning the text features, has just started to appear in Arabic sentiment analysis. On the other hand, Deep Neural Networks were widely used recently for this task, especially for the作者: gangrene 時(shí)間: 2025-3-30 09:46
,Improving Autoencoders Performance for?Hyperspectral Unmixing Using Clustering,nable effective analysis of such data, spectral unmixing is often used. It is an important task in hyperspectral imaging, allowing one to obtain the information about spectral endmembers which make up each hyperspectral pixel. This task, traditionally solved with dedicated statistical methods, has r作者: DALLY 時(shí)間: 2025-3-30 15:29 作者: 把手 時(shí)間: 2025-3-30 18:31 作者: 類型 時(shí)間: 2025-3-31 00:24 作者: 藝術(shù) 時(shí)間: 2025-3-31 01:56 作者: Pseudoephedrine 時(shí)間: 2025-3-31 05:07 作者: 哀悼 時(shí)間: 2025-3-31 10:34
,Supervised Learning Use to?Acquire Knowledge from?2D Analytic Geometry Problems,the theme of identifying geometric elements in unstructured documents and their classification. The proposed solution is based on the automatic recognition of geometric elements, achieved with the help of supervised learning. The chosen system is based on a model resulting from an automatic learning作者: 痛苦一下 時(shí)間: 2025-3-31 16:51 作者: 殘暴 時(shí)間: 2025-3-31 19:10
,Using Brain-Computer Interface (BCI) and?Artificial Intelligence for?EEG Signal Analysis,stion whether it is possible to create a classifier that could correctly recognize emotions from EEG data recorded by simple and cheap equipment. In the paper, we compared the created classifier with the one that was taught on high-quality EEG data, which was recorded with the help of professional-g作者: heterodox 時(shí)間: 2025-4-1 01:43
Predicting Metastasis-Free Survival Using Clinical Data in Non-small Cell Lung Cancer,ity of lung cancer is the development of local and distant metastases. Lung cancer patients mostly die because of distant metastases rather than the primary tumor. Thus, here we tackle the problem of predicting when a patient relapse with a distant metastatic tumor. This information is relevant not 作者: convulsion 時(shí)間: 2025-4-1 04:53
Impact of Design Decisions on Performance of Embarrassingly Parallel .NET Database Application,nts issues of parallel processing with use of .NET applications and popular database management systems. In the paper, three design dilemmas are addressed: how efficient is the auto-parallelism implemented in the .NET TPL library, how do popular DBMSes differ in serving parallel requests, and what i作者: 偶然 時(shí)間: 2025-4-1 07:06 作者: RENAL 時(shí)間: 2025-4-1 13:31
Book 2002ted by computer for the handicapped. Eight of the nine lecturers are represented in this book. The summer school attracted more than 60 participants from Europe, Asia and North America representing not only graduate students but also senior researchers from both academia and industry.
