標(biāo)題: Titlebook: Engineering Applications of Neural Networks; 20th International C John Macintyre,Lazaros Iliadis,Chrisina Jayne Conference proceedings 2019 [打印本頁] 作者: indulge 時(shí)間: 2025-3-21 20:07
書目名稱Engineering Applications of Neural Networks影響因子(影響力)
書目名稱Engineering Applications of Neural Networks影響因子(影響力)學(xué)科排名
書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度
書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Engineering Applications of Neural Networks被引頻次
書目名稱Engineering Applications of Neural Networks被引頻次學(xué)科排名
書目名稱Engineering Applications of Neural Networks年度引用
書目名稱Engineering Applications of Neural Networks年度引用學(xué)科排名
書目名稱Engineering Applications of Neural Networks讀者反饋
書目名稱Engineering Applications of Neural Networks讀者反饋學(xué)科排名
作者: 荒唐 時(shí)間: 2025-3-21 22:18 作者: 茁壯成長(zhǎng) 時(shí)間: 2025-3-22 04:16
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecastinglected by smart meter per day provides a huge potential for analytics to support the operation of a smart grid, an example of which is energy demand forecasting. Short term energy forecasting can be used by utilities to assess if any forecasted peak energy demand would have an adverse effect on the 作者: 飾帶 時(shí)間: 2025-3-22 05:42
Modelling of Compressors in an Industrial CO,-Based Operational Cooling System Using ANN for Energy tion and power requirements through intelligent energy and power management, such as utilizing excess heat, thermal energy storage and local renewable energy sources. Intelligent energy and power management in an operational setting is only possible if the time-varying performance of the individual 作者: Corral 時(shí)間: 2025-3-22 09:51
Outlier Detection in Temporal Spatial Log Data Using Autoencoder for Industry 4.0ny relationships and dependencies in the data. Outlier detection and problem solving is difficult in such an environment. We present an unsupervised outlier detection method to find outliers in temporal spatial log data without domain-specific knowledge. Our method is evaluated with real-world unlab作者: 強(qiáng)制令 時(shí)間: 2025-3-22 14:29
Reservoir Computing Approaches Applied to Energy Management in Industryithful reproduction of the behavior of the system to model with a usually limited computational burden for a training phase. This aspect favors the deployment of Echo-State Neural networks in the industrial field. In this paper, a novel application of such approach is proposed for the modelling of i作者: 強(qiáng)制令 時(shí)間: 2025-3-22 19:45 作者: 泥瓦匠 時(shí)間: 2025-3-22 21:53
Classification of Sounds Indicative of Respiratory Diseasesas asthma, COPD, and pneumonia. We designed a feature set based on wavelet packet analysis characterizing data coming from four sound classes, i.e. ., ., ., .. Subsequently, the captured temporal patterns are learned by hidden Markov models (HMMs). Finally, classification is achieved via a directed 作者: definition 時(shí)間: 2025-3-23 03:35
Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learningl Neovascularization, Drusen (CNV), Diabetic Macular Odeama (DME), Drusen. Detecting these diseases are quite challenging and requires hours of analysis by experts, as their symptoms are somewhat similar. We have used transfer learning with VGG16 and Inception V3 models which are state of the art CN作者: Exposure 時(shí)間: 2025-3-23 07:06 作者: Agronomy 時(shí)間: 2025-3-23 09:53 作者: esoteric 時(shí)間: 2025-3-23 14:15 作者: 車床 時(shí)間: 2025-3-23 19:14
A Probabilistic Graph-Based Method to Improve Recommender System Accuracyelp users to efficiently find desirable items among a pool of items. RSs often rely on collaborating filtering (CF), where history of transactions are analyzed in order to recommend items. High accuracy, and low time and implementation complexity are most important factors for evaluating the perform作者: 捏造 時(shí)間: 2025-3-23 23:33
A Robust Deep Ensemble Classifier for Figurative Language Detectiong (NLP) due to the contradictory meaning contained in phrases with metaphorical content. The problem itself contains three interrelated FL recognition tasks: sarcasm, irony and metaphor which, in the present paper, are dealt with advanced Deep Learning (DL) techniques. First, we introduce a data pre作者: 小平面 時(shí)間: 2025-3-24 03:03 作者: obtuse 時(shí)間: 2025-3-24 06:34
Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/310709.jpg作者: Endearing 時(shí)間: 2025-3-24 13:15 作者: 說笑 時(shí)間: 2025-3-24 15:32
Engineering Applications of Neural Networks978-3-030-20257-6Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Lobotomy 時(shí)間: 2025-3-24 21:53 作者: Ossification 時(shí)間: 2025-3-25 01:02
https://doi.org/10.1007/978-1-4302-4738-8 completely ignores any estimation of the Random Environment’s (RE’s) (specified as .) reward/penalty probabilities. To take these into consideration, Estimator/Pursuit LA utilize “cheap” estimates of the Environment’s reward probabilities to make them converge by an order of magnitude faster. This 作者: Expertise 時(shí)間: 2025-3-25 05:51 作者: Expiration 時(shí)間: 2025-3-25 09:28 作者: DUCE 時(shí)間: 2025-3-25 13:37
Tax Policy in the Nordic Countriestion and power requirements through intelligent energy and power management, such as utilizing excess heat, thermal energy storage and local renewable energy sources. Intelligent energy and power management in an operational setting is only possible if the time-varying performance of the individual 作者: 者變 時(shí)間: 2025-3-25 18:53 作者: keloid 時(shí)間: 2025-3-25 22:26
https://doi.org/10.1007/978-1-4302-4843-9ithful reproduction of the behavior of the system to model with a usually limited computational burden for a training phase. This aspect favors the deployment of Echo-State Neural networks in the industrial field. In this paper, a novel application of such approach is proposed for the modelling of i作者: 性行為放縱者 時(shí)間: 2025-3-26 01:12
Taxation Planning for Middle East Operationsseries. In this context, several representation methods have been proposed. Signal2vec is a novel framework, which can represent any time-series in a vector space. It is unsupervised, computationally efficient, scalable and generic. The framework is evaluated via a theoretical analysis and real worl作者: Pde5-Inhibitors 時(shí)間: 2025-3-26 04:48
Gerald W. Scully,Patrick J. Caragataas asthma, COPD, and pneumonia. We designed a feature set based on wavelet packet analysis characterizing data coming from four sound classes, i.e. ., ., ., .. Subsequently, the captured temporal patterns are learned by hidden Markov models (HMMs). Finally, classification is achieved via a directed 作者: GENRE 時(shí)間: 2025-3-26 11:20 作者: CHECK 時(shí)間: 2025-3-26 13:12
https://doi.org/10.1007/978-3-319-53919-5althcare system in order to get a first treatment of their condition. Healthcare specialists, who work on related databases, usually have access to the information about whether these events need a critical handling or not. However, in many situations, these databases present missing data, which usu作者: chondromalacia 時(shí)間: 2025-3-26 19:35 作者: 無王時(shí)期, 時(shí)間: 2025-3-26 22:18
Background of Financial Instruments,e fighting games. Handling such real-time constraint requires either tremendous computing power or a clever algorithm design. The former is uncontrollable by the participants, as for the latter, the competition has received a variety of submissions, ranging from the naivest case analysis approach to作者: 天文臺(tái) 時(shí)間: 2025-3-27 01:15 作者: Osteoarthritis 時(shí)間: 2025-3-27 05:55 作者: 晚來的提名 時(shí)間: 2025-3-27 12:19 作者: HALL 時(shí)間: 2025-3-27 16:21
Background of Financial Instruments,ission to this challenge in which we designed a winning solution in the LUD division which, for the first time, stably outperformed all players in all competition categories. Our results demonstrate that a proper blend of case analysis and advanced algorithms could result in an ultimate performance.作者: 憤怒事實(shí) 時(shí)間: 2025-3-27 18:44 作者: Hyaluronic-Acid 時(shí)間: 2025-3-28 00:55
https://doi.org/10.1007/978-94-017-4472-0most important aspects for this task. Furthermore, using this benchmark we investigate the application of Stacking on five popular ANNs. The models are compared on three metrics and show that Stacking can help improve or ensure performance in certain cases, especially on 2-state devices.作者: Prosaic 時(shí)間: 2025-3-28 03:22 作者: 字形刻痕 時(shí)間: 2025-3-28 07:29 作者: 菊花 時(shí)間: 2025-3-28 12:58 作者: 思考而得 時(shí)間: 2025-3-28 16:58 作者: Postmenopause 時(shí)間: 2025-3-28 20:27 作者: 宴會(huì) 時(shí)間: 2025-3-29 02:41
https://doi.org/10.1007/978-3-319-53919-5a emergency cases – by training and testing neural networks – and compare its performance with other classifiers. The results will be part of the analysis and assessments routines performed by specialists of a healthcare company.作者: LAY 時(shí)間: 2025-3-29 03:53
Outlier Detection in Temporal Spatial Log Data Using Autoencoder for Industry 4.0 areas in cooperation with a domain expert. Using our proposed method, we were able to find all known outlier areas. In addition, we found outliers that were not previously known and have been verified as outliers by a domain expert ex post.作者: 不能妥協(xié) 時(shí)間: 2025-3-29 08:51 作者: iodides 時(shí)間: 2025-3-29 12:09 作者: 抗體 時(shí)間: 2025-3-29 18:25 作者: 露天歷史劇 時(shí)間: 2025-3-29 20:03
1865-0929 19, held in ?Xersonisos, Crete, Greece, in May 2019..The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatic作者: Lumbar-Stenosis 時(shí)間: 2025-3-30 03:39
A Benchmark Framework to Evaluate Energy Disaggregation Solutionsmost important aspects for this task. Furthermore, using this benchmark we investigate the application of Stacking on five popular ANNs. The models are compared on three metrics and show that Stacking can help improve or ensure performance in certain cases, especially on 2-state devices.作者: BLAZE 時(shí)間: 2025-3-30 08:07
Signal2Vec: Time Series Embedding Representationd applications, with a focus on energy data. The experimental results are compared against a baseline using raw data and two other popular representations, SAX and PAA. Signal2vec is superior not only in terms of performance, but also in efficiency, due to dimensionality reduction.作者: 歡呼 時(shí)間: 2025-3-30 09:05 作者: 外科醫(yī)生 時(shí)間: 2025-3-30 12:46
Conference proceedings 2019; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop..作者: Apoptosis 時(shí)間: 2025-3-30 17:19
1865-0929 s modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop..978-3-030-20256-9978-3-030-20257-6Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 軍火 時(shí)間: 2025-3-30 23:26 作者: Kernel 時(shí)間: 2025-3-31 03:47
https://doi.org/10.1007/978-1-4302-4738-8blems. In this paper (The second author gratefully acknowledges the partial support of NSERC, the Natural Sciences and Engineering Council of Canada), we will submit a complete survey of how the “Pursuit” learning paradigm can be and has been used in Object Partitioning. The results demonstrate that作者: 減震 時(shí)間: 2025-3-31 05:18 作者: BLANK 時(shí)間: 2025-3-31 12:21 作者: 感激小女 時(shí)間: 2025-3-31 15:00
