標(biāo)題: Titlebook: Engineering Applications of Neural Networks; 18th International C Giacomo Boracchi,Lazaros Iliadis,Aristidis Likas Conference proceedings 2 [打印本頁] 作者: Gram114 時間: 2025-3-21 19:20
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: MURAL 時間: 2025-3-21 22:02
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders achieve their nominal capacity. These parallel subsystems and elements should have the same behavior and, therefore, differences between them can reveal failures and inefficiency in the system. The complexity in HVAC systems comes from the number of variables involved in these processes. For that r作者: genesis 時間: 2025-3-22 01:31
A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofirs produced by the electrospinning process and it supposes to be a preliminary work for future and industrial applications. The experimental data gathered from the literature form the basis for generating a more consistent sample through standard interpolation. The inputs of the NN are the polymer c作者: Airtight 時間: 2025-3-22 05:47 作者: Flustered 時間: 2025-3-22 09:45
Memristor Based Chaotic Neural Network with Application in Nonlinear Cryptosystemcryptography by providing increased security. In this paper, a description of an algorithm for the generation of an initial value for encryption using neural network involving memristor and chaotic polynomials is provided. The chaotic series that is obtained is combined with nonlinear 1 Dimensional 作者: 撕裂皮肉 時間: 2025-3-22 15:25
DSS-PSP - A Decision Support Software for Evaluating Students’ Performancely recognize those students who are likely to exhibit poor performance. In this work, we introduce a new decision support software for predicting the students’ performance at the final examinations. The proposed software is based on a novel 2-level classification technique which achieves better perf作者: 撕裂皮肉 時間: 2025-3-22 18:11 作者: Jocose 時間: 2025-3-22 22:16 作者: Guaff豪情痛飲 時間: 2025-3-23 02:09
Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learningstencies within the document itself. The main idea consists in profiling the style of the original author and marking as outliers the passages that seem to differ significantly. Besides some novel stylistic and semantic features, the present work proposes a new approach to the problem, where machine作者: In-Situ 時間: 2025-3-23 08:30
A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systemscollection and processing of real-time data, have introduced a large number of new threats. These threats are primarily related to the specific tasks these applications perform, such as their distinct design specifications, the specialized communication protocols they use and the heterogeneous devic作者: 后天習(xí)得 時間: 2025-3-23 11:36
Boosted Residual Networksnetwork at each round of boosting. The proposed approach combines recent developements in Residual Networks?- a method for creating very deep networks by including a shortcut layer between different groups of layers - with the Deep Incremental Boosting, which has been proposed as a methodology to tr作者: SNEER 時間: 2025-3-23 16:24
A Convolutional Approach to Multiword Expression Detection Based on Unsupervised Distributed Word Rere for a specific task - multiword expression detection - and we compare our results to state-of-the-art systems on the same datasets. The approach is multilingual and we rely on automatically extracted word embeddings from Wikipedia dumps. We also show that task-driven lexical features embeddings i作者: 鑲嵌細(xì)工 時間: 2025-3-23 19:15
Remarks on Tea Leaves Aroma Recognition Using Deep Neural Networkaves using an array of quartz crystal resonators coated with plasma organic polymer films. Frequency analysis based on continuous wavelet transform, with the Morlet function as the mother wavelet, was applied to the sensor signals to construct the input vectors of the deep neural network. Experiment作者: Immobilize 時間: 2025-3-24 00:33
Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approachserver architecture where an end-node device streams the audio to a centralized server in charge of the detection. Even providing the best performances, these solutions raise power consumption and privacy issues. For these reasons, interest has recently grown in the community for methods which can r作者: neutralize 時間: 2025-3-24 05:57 作者: 是比賽 時間: 2025-3-24 10:02
Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/310712.jpg作者: 語源學(xué) 時間: 2025-3-24 12:09
978-3-319-65171-2Springer International Publishing AG 2017作者: 最小 時間: 2025-3-24 15:33
Engineering Applications of Neural Networks978-3-319-65172-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: FLAG 時間: 2025-3-24 21:10 作者: 影響 時間: 2025-3-24 23:32
Decheng Zhao,Bo Yan,Liwei Tang,Yao Zhouer stress accurately, no method has been practically applied yet due to the high cost of equipment. Thus, the previous methods have a trade-off relationship between cost and estimation accuracy. In this paper, we propose a method for estimating water stress on the basis of plant images and sensor da作者: 去才蔑視 時間: 2025-3-25 06:44 作者: Atrium 時間: 2025-3-25 09:04 作者: Amylase 時間: 2025-3-25 12:36
Learning From ‘Interpreted’ Work Contextsrom traditional and renewable sources), transportation and measurements (smart meters). Storing large amounts of electrical energy is not possible, therefore it is necessary to precisely predict energy consumption. Nowadays deep learning approaches are successfully used in different artificial intel作者: 混合物 時間: 2025-3-25 19:05
https://doi.org/10.1007/978-3-319-70515-6cryptography by providing increased security. In this paper, a description of an algorithm for the generation of an initial value for encryption using neural network involving memristor and chaotic polynomials is provided. The chaotic series that is obtained is combined with nonlinear 1 Dimensional 作者: 發(fā)起 時間: 2025-3-25 23:44
https://doi.org/10.1007/978-3-030-76188-2ly recognize those students who are likely to exhibit poor performance. In this work, we introduce a new decision support software for predicting the students’ performance at the final examinations. The proposed software is based on a novel 2-level classification technique which achieves better perf作者: 恃強(qiáng)凌弱的人 時間: 2025-3-26 01:48 作者: 防止 時間: 2025-3-26 07:10
Introduction to Part III: Measurementcy and time effectiveness of operational processes. There have been numerous attempts to solve this problem, either by proposing a general form of document interpretation or by establishing an application dependant framework. Moreover, text/graphics segmentation has been presented as a particular fo作者: 火花 時間: 2025-3-26 11:16 作者: Abrupt 時間: 2025-3-26 14:56
Teachers Can Be Financially Fitcollection and processing of real-time data, have introduced a large number of new threats. These threats are primarily related to the specific tasks these applications perform, such as their distinct design specifications, the specialized communication protocols they use and the heterogeneous devic作者: 梯田 時間: 2025-3-26 17:54
Freeing Time: A Propositional Calculus,network at each round of boosting. The proposed approach combines recent developements in Residual Networks?- a method for creating very deep networks by including a shortcut layer between different groups of layers - with the Deep Incremental Boosting, which has been proposed as a methodology to tr作者: harangue 時間: 2025-3-26 21:25
Marjolein Wilke,Karel Van Nieuwenhuysere for a specific task - multiword expression detection - and we compare our results to state-of-the-art systems on the same datasets. The approach is multilingual and we rely on automatically extracted word embeddings from Wikipedia dumps. We also show that task-driven lexical features embeddings i作者: 貝雷帽 時間: 2025-3-27 01:44
Ellen Larsen,Jeanne Maree Allenaves using an array of quartz crystal resonators coated with plasma organic polymer films. Frequency analysis based on continuous wavelet transform, with the Morlet function as the mother wavelet, was applied to the sensor signals to construct the input vectors of the deep neural network. Experiment作者: 殺菌劑 時間: 2025-3-27 05:54 作者: 不發(fā)音 時間: 2025-3-27 09:36 作者: 孤僻 時間: 2025-3-27 14:00 作者: 含水層 時間: 2025-3-27 21:40 作者: 杠桿 時間: 2025-3-28 00:48 作者: Tempor 時間: 2025-3-28 05:28
Memristor Based Chaotic Neural Network with Application in Nonlinear Cryptosystemc initial value as the encryption key and the involvement of nonlinear equations for encryption, makes the communication more confidential. The network can further be used for secure multi receiver systems.作者: intertwine 時間: 2025-3-28 07:26 作者: 殘暴 時間: 2025-3-28 10:45 作者: 編輯才信任 時間: 2025-3-28 18:29
https://doi.org/10.1007/978-3-030-76188-2ormance than any examined single learning algorithm. Furthermore, significant advantages of the presented tool are its simple and user-friendly interface and that it can be deployed in any platform under any operating system.作者: antedate 時間: 2025-3-28 19:50
Freeing Time: A Propositional Calculus,ain fast ensembles of networks of increasing depth through the use of boosting. We demonstrate that the synergy of Residual Networks and Deep Incremental Boosting has better potential than simply boosting a Residual Network of fixed structure or using the equivalent Deep Incremental Boosting without the shortcut layers.作者: 入會 時間: 2025-3-29 00:26
Ellen Larsen,Jeanne Maree Allens were conducted using oolong, jasmine and pu’erh teas as the samples and dehumidified indoor air as the base gas. The deep neural network achieved a recognition accuracy of 96.3% for the three tea types and the base gas. The experimental results demonstrated the effectiveness of applying a deep neural network to this task.作者: hypnotic 時間: 2025-3-29 05:03 作者: 認(rèn)識 時間: 2025-3-29 09:28 作者: 平靜生活 時間: 2025-3-29 15:07
Using Advanced Audio Generating Techniques to Model Electrical Energy Loadligence areas. Deep neural network architecture called WaveNet was designed for text to speech task, improving speech quality over currently used approaches. In this paper, we present modification of the WaveNet architecture from speech (sound waves) generation to energy load prediction.作者: Abnormal 時間: 2025-3-29 18:18 作者: 變態(tài) 時間: 2025-3-29 22:36 作者: gospel 時間: 2025-3-30 03:42
Remarks on Tea Leaves Aroma Recognition Using Deep Neural Networks were conducted using oolong, jasmine and pu’erh teas as the samples and dehumidified indoor air as the base gas. The deep neural network achieved a recognition accuracy of 96.3% for the three tea types and the base gas. The experimental results demonstrated the effectiveness of applying a deep neural network to this task.作者: 自作多情 時間: 2025-3-30 07:26
Conference proceedings 2017chine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the?2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE)..作者: FIR 時間: 2025-3-30 08:17
Conference proceedings 2017n Athens, Greece, in August 2017.. .The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, ma作者: REP 時間: 2025-3-30 13:12
Nina Bascia,Pamela Osmond-Johnsondetection as a major parameter of the problem. Our detection system is tested on the data corpora of PAN Webis intrinsic plagiarism detection’s shared tasks of 2009 and 2011 and is compared to the results of the highest score participations.作者: Senescent 時間: 2025-3-30 19:09
Julia E. Morris,Wesley Imms,Adam DehringHCBC) features. The proposed method is compared with a baseline using mel-frequency cepstrum coefficients (MFCCs) and a state-of-the-art convolutional neural network (CNN) system. HCBC features result to be on par with CNN, while requiring less computation effort and memory space at the cost of being application specific.作者: Myocarditis 時間: 2025-3-31 00:16 作者: daredevil 時間: 2025-3-31 01:21
Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning ApproachHCBC) features. The proposed method is compared with a baseline using mel-frequency cepstrum coefficients (MFCCs) and a state-of-the-art convolutional neural network (CNN) system. HCBC features result to be on par with CNN, while requiring less computation effort and memory space at the cost of being application specific.作者: WAX 時間: 2025-3-31 06:17 作者: CHART 時間: 2025-3-31 12:44
A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofi method, showing good performance in terms of both average RMSE (0.109, corresponding to 138.51?nm) and correlation coefficient (0.905) between the desired and the predicted diameters when a White Gaussian Noise with 2% power (WGN.) is applied to the interpolations.作者: justify 時間: 2025-3-31 16:26 作者: labile 時間: 2025-3-31 20:12 作者: HEW 時間: 2025-4-1 01:30
A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systemsents an advanced .-. (SOCCADF) based on the . algorithm. This algorithm implements an innovative application of the .-. since it is trained exclusively with data that characterize the normal operation of ICS and it is able to detect divergent behaviors and abnormalities associated with APT attacks.作者: Neutral-Spine 時間: 2025-4-1 03:59
Decheng Zhao,Bo Yan,Liwei Tang,Yao Zhoun shapes and colors of places and individual plants. We evaluated the performance of the proposed method using enormous agricultural data collected from a greenhouse. Accordingly, the proposed method reduced the error of mean absolute error (MAE) by approximately 25% compared with a naive convolutio
