標(biāo)題: Titlebook: Engineering Applications of Neural Networks; 19th International C Elias Pimenidis,Chrisina Jayne Conference proceedings 2018 Springer Natur [打印本頁] 作者: 嬉戲 時間: 2025-3-21 17:06
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: 高調(diào) 時間: 2025-3-21 22:50
Face Detection for Crowd Analysis Using Deep Convolutional Neural Networksis not to regurgitate the finding from the original paper on Mask RCNN but provide results on the efficiency of using the method in the context of face detection for crowd analysis. Additionally, exploration of suitable hyper parameters for this context has been performed and described. Code has bee作者: DEBT 時間: 2025-3-22 02:42 作者: Digitalis 時間: 2025-3-22 04:38
Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signa the motor control of the sublingual muscle movements monitored at phonation time. A phoneme-to-speech synthesizer generates audio output corresponding to the utterance the subject has tried to enunciate.作者: 誘騙 時間: 2025-3-22 11:58 作者: 都相信我的話 時間: 2025-3-22 14:16
Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniquey of Turkey. The approach uses Fuzzy DEMATEL method to work out the interrelations of chosen criteria, which are weighted with Fuzzy ANP and finally suggest a rank-based list of products with Fuzzy PROMETHEE. The results are verified with the expert view and found very useful.作者: 都相信我的話 時間: 2025-3-22 18:34
https://doi.org/10.1007/978-3-030-49176-5 of 0.93 for the repeating “Meal_Prep” activities. Furthermore, real-time recognition on the collected pilot data occurred near the beginning of the activity 64% of the time and at the halfway point in the activity 96% of the time.作者: 收養(yǎng) 時間: 2025-3-22 21:43 作者: BYRE 時間: 2025-3-23 04:24 作者: Hallmark 時間: 2025-3-23 06:21 作者: 我沒有命令 時間: 2025-3-23 11:13 作者: AVERT 時間: 2025-3-23 17:25 作者: 調(diào)情 時間: 2025-3-23 19:16 作者: 一起 時間: 2025-3-23 23:13 作者: Libido 時間: 2025-3-24 05:02
https://doi.org/10.1007/978-3-030-49176-5ted living are becoming increasingly apparent. However, challenges in performing real-time human activity recognition (HAR) from unlabelled data and adapting to changing user health remain a major barrier to the practicality of such applications. This paper aims to address these issues by proposing 作者: delta-waves 時間: 2025-3-24 08:12 作者: capsaicin 時間: 2025-3-24 11:11 作者: 解凍 時間: 2025-3-24 15:20 作者: Ancestor 時間: 2025-3-24 22:22
Christian Kahl,Gerald Raj Sundramever, in order to guarantee the convergence of the ELM algorithm, it initially requires a large number of hidden nodes. In addition, extreme learning machines have two drawbacks: over-fitting and the sensitivity of accuracy to the number of hidden nodes. The aim of this paper is to propose a new smo作者: 復(fù)習(xí) 時間: 2025-3-25 02:08
William J. Hueston,A. Kesh Hebbaroach to incorporate active user control of different characters. In this paper, a neuroevolutionary approach is proposed using HyperNEAT to combine individually trained neural controllers to form a control strategy for a simulated eight-legged character, which is a previously untested character morp作者: Musculoskeletal 時間: 2025-3-25 05:01
Care of the Patient Who Misuses Drugs,roblems in Artificial Intelligence and Machine Learning: The goal is to create a self-playing agent that can compete against humans. In the past there have been introduced various Machine Learning approaches to solve this problem. This paper gives a summary of some notable techniques to creating a s作者: 溫順 時間: 2025-3-25 08:20 作者: 嘮叨 時間: 2025-3-25 15:05
Overview of TeV Gamma Ray Observations, to detect network attacks, and therefore requires more efficient and faster data processing methods to ensure network security. For this purpose, many intrusion detection systems have been developed and development works are continuing..This study; by comparing the performance of machine learning a作者: TAIN 時間: 2025-3-25 16:56
Botanical classification of tea, has been widely applied, there are still limitations to be overcome in this research area. Accuracy is still one of the areas that need to be improved. In addition, the rapid growth of information available online presents recommender systems with several challenges. More specifically, data sparsit作者: perimenopause 時間: 2025-3-25 20:41
https://doi.org/10.1057/9781137494085organs (e.g. the larynx), by neural degeneration or by neurological injury to the motor component of the motor-speech system in the phonation area of the brain (e.g. dysarthria in Parkinson disease). A novel approach to voice rehabilitation consists of predicting the phonetic control sequence of the作者: albuminuria 時間: 2025-3-26 02:26 作者: Abominate 時間: 2025-3-26 04:35
https://doi.org/10.1007/978-3-030-88400-0 accessible and competitive global market. This fact enforces producers to clearly identify and analyze the needs of consumers and to display their products respecting locality based on customers’ needs. The position of the business is strengthened within the market and its competiveness increases b作者: 起來了 時間: 2025-3-26 09:03 作者: 逢迎春日 時間: 2025-3-26 15:44
https://doi.org/10.1007/978-3-319-98204-5artificial intelligence; artificial neural network; classification; deep learning; evolutionary computin作者: 細(xì)胞 時間: 2025-3-26 19:41 作者: 大量殺死 時間: 2025-3-26 22:27 作者: 使激動 時間: 2025-3-27 04:02 作者: 彈藥 時間: 2025-3-27 08:10 作者: gastritis 時間: 2025-3-27 12:31
RR-FCN: Rotational Region-Based Fully Convolutional Networks for Object Detectiono not consider rotation, our region-based detector incorporates rotational invariance into networks efficiently and generate more appropriate features according to the rotation angle. Specifically, we propose component-sensitive feature maps, rotational RoI pooling and interceptive back propagation 作者: 完全 時間: 2025-3-27 17:10 作者: 樂意 時間: 2025-3-27 19:20
Smoothing Regularized Extreme Learning?Machineever, in order to guarantee the convergence of the ELM algorithm, it initially requires a large number of hidden nodes. In addition, extreme learning machines have two drawbacks: over-fitting and the sensitivity of accuracy to the number of hidden nodes. The aim of this paper is to propose a new smo作者: 險代理人 時間: 2025-3-27 23:32 作者: Axon895 時間: 2025-3-28 03:07
Machine Learning with the Pong Game: A Case Studyroblems in Artificial Intelligence and Machine Learning: The goal is to create a self-playing agent that can compete against humans. In the past there have been introduced various Machine Learning approaches to solve this problem. This paper gives a summary of some notable techniques to creating a s作者: reperfusion 時間: 2025-3-28 09:12 作者: esthetician 時間: 2025-3-28 13:17
Network Intrusion Detection on Apache Spark with Machine Learning Algorithms to detect network attacks, and therefore requires more efficient and faster data processing methods to ensure network security. For this purpose, many intrusion detection systems have been developed and development works are continuing..This study; by comparing the performance of machine learning a作者: cumber 時間: 2025-3-28 15:38
A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations has been widely applied, there are still limitations to be overcome in this research area. Accuracy is still one of the areas that need to be improved. In addition, the rapid growth of information available online presents recommender systems with several challenges. More specifically, data sparsit作者: 把…比做 時間: 2025-3-28 21:27
Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signaorgans (e.g. the larynx), by neural degeneration or by neurological injury to the motor component of the motor-speech system in the phonation area of the brain (e.g. dysarthria in Parkinson disease). A novel approach to voice rehabilitation consists of predicting the phonetic control sequence of the作者: Torrid 時間: 2025-3-28 23:29
Model Prediction of Defects in Sheet Metal Forming ProcessesIn this paper, we take a machine learning perspective to choose the best model for defects prediction of sheet metal forming processes. An empirical study is presented with the objective to choose the best machine learning algorithm that will be able to perform accurately this task. For building the作者: 開玩笑 時間: 2025-3-29 06:31
Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Technique accessible and competitive global market. This fact enforces producers to clearly identify and analyze the needs of consumers and to display their products respecting locality based on customers’ needs. The position of the business is strengthened within the market and its competiveness increases b作者: 擋泥板 時間: 2025-3-29 07:18
Conference proceedings 2018n Bristol, UK, in September 2018..The 16 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on?activity recognition,?deep learning,?extreme learning machine, machine learning applications,?pr作者: micturition 時間: 2025-3-29 13:00
Machine Learning with the Pong Game: A Case Study have been introduced various Machine Learning approaches to solve this problem. This paper gives a summary of some notable techniques to creating a self-learning agent for the Pong game. In addition, it proposes a template for developing this idea into a full-fledged application. An implementation in Java is available online.作者: 發(fā)起 時間: 2025-3-29 19:19
Conference proceedings 2018ions. The papers are organized in topical sections on?activity recognition,?deep learning,?extreme learning machine, machine learning applications,?predictive models, fuzzy and recommender systems,?recurrent neural networks, spiking neural networks..作者: Expediency 時間: 2025-3-29 23:26
1865-0929 39 submissions. The papers are organized in topical sections on?activity recognition,?deep learning,?extreme learning machine, machine learning applications,?predictive models, fuzzy and recommender systems,?recurrent neural networks, spiking neural networks..978-3-319-98203-8978-3-319-98204-5Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: MILL 時間: 2025-3-30 01:19 作者: 煉油廠 時間: 2025-3-30 04:33
Christian Kahl,Gerald Raj Sundramtable network size. Numerical experiments have been carried out for approximation problems and multi-class classification problems, and preliminary results have shown that the proposed approach works well.作者: Meditate 時間: 2025-3-30 12:10 作者: 情感脆弱 時間: 2025-3-30 13:36
Toward Video Tampering Exposure: Inferring Compression Parameters from Pixelsshow that QP of key-frames can be estimated using CNN. Results also show that accuracy drops for predicted frames. These results open new, interesting research directions in the domain of video tampering/forgery detection.作者: 寵愛 時間: 2025-3-30 18:07
Smoothing Regularized Extreme Learning?Machinetable network size. Numerical experiments have been carried out for approximation problems and multi-class classification problems, and preliminary results have shown that the proposed approach works well.作者: 天然熱噴泉 時間: 2025-3-30 21:25 作者: 獸群 時間: 2025-3-31 02:42 作者: 沉思的魚 時間: 2025-3-31 05:26
