標(biāo)題: Titlebook: Artificial Intelligence Applications and Innovations; 20th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Antonios Papale Conference pr [打印本頁] 作者: Waterproof 時間: 2025-3-21 17:08
書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)
書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence Applications and Innovations被引頻次
書目名稱Artificial Intelligence Applications and Innovations被引頻次學(xué)科排名
書目名稱Artificial Intelligence Applications and Innovations年度引用
書目名稱Artificial Intelligence Applications and Innovations年度引用學(xué)科排名
書目名稱Artificial Intelligence Applications and Innovations讀者反饋
書目名稱Artificial Intelligence Applications and Innovations讀者反饋學(xué)科排名
作者: Radiculopathy 時間: 2025-3-21 22:13
1868-4238 d Innovations, AIAI 2024, held in?Corfu, Greece, during June 27–30, 2024...The 100 full papers and 8 short papers included in this book were carefully reviewed and selected from 213 submissions. The diverse nature of papers presented demonstrates the vitality of AI algorithms and approaches. It cert作者: 凝乳 時間: 2025-3-22 00:36
https://doi.org/10.1007/978-3-662-64165-1sets and state-of-the-art methods with code are not publicly available, we compared our framework with a commonly handcrafted approach largely used as a baseline method in racket sports analysis. We show that our method outperforms the baseline in terms of registration accuracy and inference latency per frame.作者: 匍匐前進(jìn) 時間: 2025-3-22 06:06
https://doi.org/10.1007/978-3-662-40021-0izing network functions. This study provides essential guidance for selecting the appropriate model based on the trade-off between time efficiency and detection accuracy, thereby enhancing the decision-making process in road quality assessment and contributing to safer transportation infrastructure.作者: Awning 時間: 2025-3-22 08:46 作者: 字謎游戲 時間: 2025-3-22 14:52
A Deep Learning-Based Framework for?Racket Sports Court Registrationsets and state-of-the-art methods with code are not publicly available, we compared our framework with a commonly handcrafted approach largely used as a baseline method in racket sports analysis. We show that our method outperforms the baseline in terms of registration accuracy and inference latency per frame.作者: DAFT 時間: 2025-3-22 17:25
Towards Robust Road Quality Detection Using Different Detection Modelsizing network functions. This study provides essential guidance for selecting the appropriate model based on the trade-off between time efficiency and detection accuracy, thereby enhancing the decision-making process in road quality assessment and contributing to safer transportation infrastructure.作者: fixed-joint 時間: 2025-3-22 22:55
Explanations for?Core Decompositionusal relationships between network connectivity and core decomposition. To this end, at first we define what a causal explanation is, according to the core decomposition problem. Then, apart from the algorithmic contribution in identifying the causal explanations, we also provide different related experimental results that demonstrate its use.作者: 清唱劇 時間: 2025-3-23 01:49
Conference proceedings 2024and selected from 213 submissions. The diverse nature of papers presented demonstrates the vitality of AI algorithms and approaches. It certainly proves the very wide range of AI applications as well..作者: FEMUR 時間: 2025-3-23 06:01 作者: 類人猿 時間: 2025-3-23 12:05 作者: BRUNT 時間: 2025-3-23 15:32 作者: 北極熊 時間: 2025-3-23 21:15 作者: TRACE 時間: 2025-3-23 23:02 作者: exclusice 時間: 2025-3-24 03:59
Beyond Sentiment in?Stock Price Prediction: Integrating News Sentiment and?Investor Attention with?Tainly focused on improving prediction accuracy by exploiting news sentiment, without adequately considering the different levels of attention that individual news articles receive. Furthermore, despite the advanced predictive capabilities of deep learning models, there has been a lack of focus on th作者: LEVER 時間: 2025-3-24 07:42 作者: 蘆筍 時間: 2025-3-24 13:58 作者: grandiose 時間: 2025-3-24 16:37
FCGAN: Spectral Convolutions via?FFT for?Channel-Wide Receptive Field in?Generative Adversarial Netwcy domain to enable the network to operate with a channel-wide receptive field. Due to small receptive fields, traditional convolution-based GANs struggle to capture structural and geometric patterns. Our method applies Fast Fourier Convolutions (FFCs), which use Fourier Transforms to operate in the作者: confederacy 時間: 2025-3-24 22:54 作者: 四牛在彎曲 時間: 2025-3-25 00:48 作者: 接合 時間: 2025-3-25 05:19
Multivariate Time-Series Methods with?Uncertainty Estimation for?Correcting Physics-Based Model: Comalysis and Modeling (HAM), this approach combines a physics-based model, solving multi-phase flow equations for cuttings transport, with advanced machine learning models to enhance predictive accuracy in hole cleaning operations. Previous research demonstrated two HAM methodologies (an intrusive and作者: faction 時間: 2025-3-25 10:42 作者: Innocence 時間: 2025-3-25 12:15 作者: Feigned 時間: 2025-3-25 18:34 作者: 刪減 時間: 2025-3-25 23:20
Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installationing is a process that separates contaminating substances from wastewater. It results in the reuse of water and in the reduction of the environmental pollution [.]. Both the Chemical Oxygen Demand (COD) and the Biological Oxygen Demand (BOD) are used as measures of the strength and the effectiveness 作者: Conduit 時間: 2025-3-26 03:24
Carbon-Aware Machine Learning: A Case Study on?Cellular Traffic Forecasting with?Spiking Neural Netwodern environments. However, the increasing amount of data collected by respective base stations makes their processing and analysis challenging. Machine learning (ML) algorithms have emerged as a powerful tool that can handle the large volumes of data and provide operators with accurate predictions作者: reflection 時間: 2025-3-26 05:45
Emerging Research Topics Identification Using Temporal Graph Neural Networksearchers and decision makers in both governmental and industrial spheres. Traditional approaches to this challenge have predominantly relied on retrospective analyses, limiting their applicability in real world scenarios where proactive foresight is paramount. This study addresses this constraint th作者: 馬具 時間: 2025-3-26 08:51
Explanations for?Core Decompositionied to different problems and various scientific fields ranging from Social Network Analysis (community detection) to Epidemiology and Disease Spread (identification of core groups where transmission rates are high). This study delves into the causal explanations underlying core decomposition, with 作者: nepotism 時間: 2025-3-26 12:44 作者: 胖人手藝好 時間: 2025-3-26 18:02
Artificial Intelligence Applications and Innovations978-3-031-63219-8Series ISSN 1868-4238 Series E-ISSN 1868-422X 作者: discord 時間: 2025-3-26 21:27 作者: 積云 時間: 2025-3-27 02:40 作者: Facet-Joints 時間: 2025-3-27 06:00 作者: calumniate 時間: 2025-3-27 12:58 作者: STALE 時間: 2025-3-27 15:22
Endocrinological Aspects in Handballe, any inference about an individual relation from a neural tensor network is isolated from the model’s intelligence about the other relations in the problem domain. We introduce cross-relational reasoning, a novel inference mechanism for neural tensor networks which intelligently coordinates all of作者: 寬度 時間: 2025-3-27 18:39 作者: 鐵砧 時間: 2025-3-27 22:11
Shoulder Instability in Handball Playerscy domain to enable the network to operate with a channel-wide receptive field. Due to small receptive fields, traditional convolution-based GANs struggle to capture structural and geometric patterns. Our method applies Fast Fourier Convolutions (FFCs), which use Fourier Transforms to operate in the作者: hypnotic 時間: 2025-3-28 05:37 作者: mercenary 時間: 2025-3-28 09:56 作者: Pelago 時間: 2025-3-28 12:53
Zur Geschichte des Sportspiels Handball,alysis and Modeling (HAM), this approach combines a physics-based model, solving multi-phase flow equations for cuttings transport, with advanced machine learning models to enhance predictive accuracy in hole cleaning operations. Previous research demonstrated two HAM methodologies (an intrusive and作者: 配置 時間: 2025-3-28 15:34 作者: 豐滿有漂亮 時間: 2025-3-28 19:41
https://doi.org/10.1007/978-3-662-40021-0 hand, hosting countries need to develop efficient and transparent processes to ensure quick registration, health assistance, integration, and support of TCNs. On the other hand, TCNs often face difficulties finding information about the hosting countries, e.g. about public services, reception cente作者: macular-edema 時間: 2025-3-29 00:14 作者: cortex 時間: 2025-3-29 04:34
https://doi.org/10.1007/978-90-368-1034-0ing is a process that separates contaminating substances from wastewater. It results in the reuse of water and in the reduction of the environmental pollution [.]. Both the Chemical Oxygen Demand (COD) and the Biological Oxygen Demand (BOD) are used as measures of the strength and the effectiveness 作者: 減震 時間: 2025-3-29 09:04
https://doi.org/10.1007/978-90-368-1034-0odern environments. However, the increasing amount of data collected by respective base stations makes their processing and analysis challenging. Machine learning (ML) algorithms have emerged as a powerful tool that can handle the large volumes of data and provide operators with accurate predictions作者: Atrium 時間: 2025-3-29 14:22
Handboek Persoonlijkheidspathologieearchers and decision makers in both governmental and industrial spheres. Traditional approaches to this challenge have predominantly relied on retrospective analyses, limiting their applicability in real world scenarios where proactive foresight is paramount. This study addresses this constraint th作者: 學(xué)術(shù)討論會 時間: 2025-3-29 18:56
https://doi.org/10.1007/978-90-313-6404-6ied to different problems and various scientific fields ranging from Social Network Analysis (community detection) to Epidemiology and Disease Spread (identification of core groups where transmission rates are high). This study delves into the causal explanations underlying core decomposition, with 作者: 完整 時間: 2025-3-29 23:12
https://doi.org/10.1007/978-90-313-6404-6stakeholders. In the context of Industry 4.0 a mainstay of process mining is the integrity verification of process graphs. Since manufacturing typically consists of numerous operations, it follows that process mining techniques, including link prediction, must possess learning capabilities powerful 作者: archetype 時間: 2025-3-30 00:27 作者: Facilities 時間: 2025-3-30 07:30
978-3-031-63221-1IFIP International Federation for Information Processing 2024作者: 小樣他閑聊 時間: 2025-3-30 11:38 作者: 收養(yǎng) 時間: 2025-3-30 15:34 作者: Ccu106 時間: 2025-3-30 16:52
https://doi.org/10.1007/978-3-662-64165-1Long Short-Term Memory to determine which machine learning model offers the most robust predictions, enabling more effective and sustainable groundwater management. We observe that the XGBoost model outperforms its counterparts in terms of predictive accuracy. The findings of this study offer critic作者: escalate 時間: 2025-3-30 22:01 作者: 表兩個 時間: 2025-3-31 04:41 作者: 雜役 時間: 2025-3-31 07:09 作者: infatuation 時間: 2025-3-31 10:16
Shoulder Instability in Handball Playerses results comparable to state-of-the-art approaches of similar depth and parameter count. Moreover, in larger image dimensions, using FFCs instead of self-attention allows for batch sizes up to twice as large and iterations up to 26% faster.作者: 輕快帶來危險 時間: 2025-3-31 14:54
Markus Wurm M.D.,Lior Laver M.D.oped model can forecast longitudinal acceleration 0.1?s ahead by utilizing the preceding 0.1?s of sensor data with high accuracy. Comparing our results with those published in the literature, we can conclude that the model we developed provides significantly more accurate predictions for longitudina作者: 我沒有強(qiáng)迫 時間: 2025-3-31 18:47 作者: 責(zé)怪 時間: 2025-4-1 01:00 作者: Lipoprotein 時間: 2025-4-1 01:57
https://doi.org/10.1007/978-3-662-40021-0 personalized conversational awareness and assist migrants in acquiring information relevant to their needs. The support of the Greek language, which is a low-resource language, and the interaction with the users through smart dialogues, beyond simple question-answering, constitute two key objective
