標(biāo)題: Titlebook: Progress in Artificial Intelligence; 23rd EPIA Conference Manuel Filipe Santos,José Machado,Pedro Miguel Mor Conference proceedings 2025 Th [打印本頁] 作者: 街道 時間: 2025-3-21 16:22
書目名稱Progress in Artificial Intelligence影響因子(影響力)
書目名稱Progress in Artificial Intelligence影響因子(影響力)學(xué)科排名
書目名稱Progress in Artificial Intelligence網(wǎng)絡(luò)公開度
書目名稱Progress in Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Progress in Artificial Intelligence被引頻次
書目名稱Progress in Artificial Intelligence被引頻次學(xué)科排名
書目名稱Progress in Artificial Intelligence年度引用
書目名稱Progress in Artificial Intelligence年度引用學(xué)科排名
書目名稱Progress in Artificial Intelligence讀者反饋
書目名稱Progress in Artificial Intelligence讀者反饋學(xué)科排名
作者: 出血 時間: 2025-3-21 20:21
Gurjot Singh,Pritika Sharma,Jatin Bediechniques useful in the construction of little Low Earth Orbit (LEO) satellite communication systems. It centers on the very significant Doppler shift that attends communications through a LEO satellite and shows how this phenomenon can be exploited for an unexpected benefit. The techniques taught i作者: Inflammation 時間: 2025-3-22 02:32 作者: COKE 時間: 2025-3-22 05:55 作者: nautical 時間: 2025-3-22 10:06 作者: Friction 時間: 2025-3-22 15:17
Jo?o Silva,Rodrigo Rito,António Completo,?ngela Semitela,Luís Rino,Paulo Antunes,José Oliveira,Diogo Costa,Nuno Lau,José Santostle Low Earth Orbit (LEO) satellite communication systems. It centers on the very significant Doppler shift that attends communications through a LEO satellite and shows how this phenomenon can be exploited for an unexpected benefit. The techniques taught in the book are expected to be particularly 作者: 浮雕寶石 時間: 2025-3-22 19:25
José Bento,Meysam Basiri,Rodrigo Venturaechniques useful in the construction of little Low Earth Orbit (LEO) satellite communication systems. It centers on the very significant Doppler shift that attends communications through a LEO satellite and shows how this phenomenon can be exploited for an unexpected benefit. The techniques taught i作者: brother 時間: 2025-3-22 21:24 作者: 分期付款 時間: 2025-3-23 04:47
Bruno Oliveira,óscar Oliveira,Teresa Peixoto,Fillipe Ribeiro,Carla Pereirainformation as to the physiology or pathology of placental function and the response of the fetal circulation to hypoxaemia. Dr. Arabin‘s clinical studies which are described in this book are an important contribution to knowledge in this field and will be of enormous interest not only to researches作者: amputation 時間: 2025-3-23 05:45
Thiago Andrade,Jo?o Gaman as to the physiology or pathology of placental function and the response of the fetal circulation to hypoxaemia. Dr. Arabin‘s clinical studies which are described in this book are an important contribution to knowledge in this field and will be of enormous interest not only to researches but also 作者: 顯示 時間: 2025-3-23 11:54
Dylan Perdig?o,Francisco Antunes,Catarina Silva,Bernardete Ribeirordiography in patients with isolated TAPVC reveals significant enlargement of the right atrium, right ventricle and pulmonary arteries. Colour Doppler is a valuable tool to identify the pulmonary venous confluence and its connection to the right atrium or systemic veins. Possible sites of anomalous 作者: PUT 時間: 2025-3-23 13:54
Pedro José Pereira,Nuno Costa,Pedro Mestre,Paulo Corteziagnosis of these anomalies is greatly enhanced by colour Doppler examination. PW and CW Doppler in pulmonary vein stenosis and in cor triatriatum reveal a continuous systolic-diastolic flow profile. Documentation of flow velocities in patients with significant supravalvular mitral ring stenosis and作者: 女歌星 時間: 2025-3-23 21:51 作者: Visual-Acuity 時間: 2025-3-24 00:45 作者: 打折 時間: 2025-3-24 05:19 作者: electrolyte 時間: 2025-3-24 10:01 作者: STALE 時間: 2025-3-24 13:31 作者: RAGE 時間: 2025-3-24 16:08
An Empirical Evaluation of?DeepAR for?Univariate Time Series Forecastingits performance regarding 1 step-ahead forecasts. We use 100 time series from the M4 competition to compare univariate DeepAR with univariate LSTM and SARIMAX models, both for point and quantile forecasts. Results show that DeepAR obtains good results, which contradicts common perception.作者: ineluctable 時間: 2025-3-24 20:11 作者: CROW 時間: 2025-3-25 01:11 作者: 華而不實 時間: 2025-3-25 06:20
A Benchmark of?Automated Multivariate Time Series Forecasting Tools for?Smart Citiesty under a realistic rolling window scheme. Overall, the AutoGluon and AutoTS tools presented the best predictive performances, with AutoGluon requiring a substantially reduced training computational effort when compared with AutoTS.作者: 親愛 時間: 2025-3-25 10:49 作者: MARS 時間: 2025-3-25 13:33
Large Language Model for?Querying Databases in?PortugueseA specific domain is explored, focusing on a subscrip- tion-based sports facility, which serves as?an open-source version of a real case study. Utilizing the star schema, the available data in the database is structured to provide accessibility through Portuguese Natural Language queries. Using?a La作者: 儀式 時間: 2025-3-25 17:28
A Novel Integration of?Federated Learning and?LSTM for?Synthetic Time Series Generation. Particularly in the field of medical diagnosis, where comprehending these patterns is crucial because they now pertain to people’s health. Owing to this paradigm shift?in the use of time series data in all fields, machine and deep learning models specifically created for these tasks must be traine作者: 人類學(xué)家 時間: 2025-3-25 21:18 作者: fulmination 時間: 2025-3-26 02:27 作者: 剛毅 時間: 2025-3-26 07:19
AIMSM - A Mechanism to?Optimize Systems with?Multiple AI Models: A Case Study in?Computer Vision for?Autonomous Mobile Robotswing systems to switch AI models during runtime in dynamic environments. Many real-world applications utilize multiple data sources and various AI models for different purposes. In many of those applications, every AI model doesn’t?have to operate all the time. The AIMSM strategically allows the sys作者: LUCY 時間: 2025-3-26 09:20 作者: Recess 時間: 2025-3-26 16:13 作者: myalgia 時間: 2025-3-26 17:32 作者: expository 時間: 2025-3-26 23:42 作者: 種屬關(guān)系 時間: 2025-3-27 01:35 作者: 業(yè)余愛好者 時間: 2025-3-27 08:23
Improving Fraud Detection with?1D-Convolutional Spiking Neural Networks Through Bayesian Optimization solutions for fraud detection?is particularly challenging since the industry needs to respect a 5% threshold of false detection of fraud, avoiding monetary losses.?The usage of traditional machine learning algorithms faces?other challenges, such as classification discrimination and high energy cons作者: 熟練 時間: 2025-3-27 12:18
A Benchmark of?Automated Multivariate Time Series Forecasting Tools for?Smart Citiesuable for providing predictive analytics?for citizens and city rulers. In this paper, we benchmark?seven multivariate open-source AutoTSF tools (AutoARIMAX, AutoGluon, FlaML, AutoTS, MFEDOT and HyperTS) and one univariate AutoTSF?tool (FEDOT), measuring both their predictive performances, as well?as作者: acrobat 時間: 2025-3-27 13:41
A Data Drift Approach to?Update Deployed Energy Prediction Machine Learning ModelsL models. In this work, we address this research gap by proposing a new data drift ML update strategy that only considers changes in the input features. Using?the realistic Growing Window (GW) and Rolling Window (RW) ML deployment simulation schemes, we propose two Drift variants (DGW and DRW), whic作者: crescendo 時間: 2025-3-27 20:14
