The proceedings contain 196 papers. The special focus in this conference is on Innovative Computing and Communication. The topics include: A Primer on Opinion Mining: The Growing Research Area;a Generic Framework for ...
ISBN:
(纸本)9789811551123
The proceedings contain 196 papers. The special focus in this conference is on Innovative Computing and Communication. The topics include: A Primer on Opinion Mining: The Growing Research Area;a Generic Framework for Evolution of Deep Neural Networks Using Genetic Algorithms;multimodal Medical Image Fusion Based on Discrete Wavelet Transform and Genetic Algorithm;driver Fatigue and Distraction Analysis Using Machine learning Algorithms;a Hybridized Auto-encoder and Convolution Neural Network-Based Model for Plant Identification;curaBand: Health Monitoring and Warning System;optimization Algorithm-Based Artificial Neural Network Control of Nonlinear Systems;mHealth for Mental Health;elman and Jordan Recurrence in Convolutional Neural Networks Using Attention Window;state of Charge Estimation Using Data-Driven Techniques for Storage Devices in Electric Vehicles;Application of Stochastic Approximation for Self-tuning of PID in Unmanned Surface Vehicles;dark web Activity on Tor—Investigation Challenges and Retrieval of Memory Artifacts;A Heterogeneous Dynamic Scheduling Minimize Energy—HDSME;face Recognition-Based Automated Attendance System;Human Emotion Recognition from Spontaneous Thermal Image Sequence Using GPU Accelerated Emotion Landmark Localization and Parallel Deep Emotion Net;delay Based Multi-controller Placement in Software Define Tactical Network;security in Cloud Computing for Sensitive Data: Challenges and Propositions;Utility of Game Theory in Defensive Wireless Sensor Networks (WSNs);robust Approach for Emotion Classification Using Gait;routing in Internet of Things Using Cellular Automata;depression Detection Among Social Media Users Using Machine learning;Security-Based LEACH Protocol for Wireless Sensor Network;Design of High-Speed FPGA Based CASU Using CBNS Arithmetic: Extension to CFFT Processor;blockchain-Based Boothless E-Voting System;preface.
Recommender systems filter user preferences and surfing history to provide recommendations. These recommendations are used to capture the user interests for making decisions. Based on the interaction of like, and disl...
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作者:
Neri, FilippoDIETI
University of Naples via Claudio 21 Naples80100 Italy
The paper describes a novel methodology to compare learning algorithms by exploiting their performance maps. A performance map enhances the comparison of a learner across learning contexts and it also provides insight...
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Reliability analysis is one of the methods to consider the safety and stability of an engineering system. It is very important to determine whether a system is safe or not. We need to solve the complex nonlinear and i...
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ISBN:
(纸本)9781450387644
Reliability analysis is one of the methods to consider the safety and stability of an engineering system. It is very important to determine whether a system is safe or not. We need to solve the complex nonlinear and implicit the limit state functions to obtain the reliability index. Traditional reliability analysis methods, First-Order Reliability Method (FORM), Second-Order Reliability Method (SORM), and Monte Carlo simulation (MCS), are not effective and have many limitations. In this paper, at the first step, an artificial neural network was used to model the limit state function. After that, the elite opposition-based learning differential evolution algorithm was selected to solve nonlinear equality constrained optimization problem to find the reliability index and the failure probability of problems in terms of random variables. The proposed method and some reference methods were applied to analyze the test problems in the literature to compare their effectiveness.
It has become really important for patients to know the precise results that can happen post the treatment of lung cancer or that if they have any underlying health problem which can be the cause of death post lung ca...
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The synchronization error of feed axis has direct relation with contour error in interpolation motions. Recognition of synchronization error of dual linear motor driven axis with gantry frame has an important role in ...
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ISBN:
(纸本)9780769538594
The synchronization error of feed axis has direct relation with contour error in interpolation motions. Recognition of synchronization error of dual linear motor driven axis with gantry frame has an important role in compensating the error to avoid the effect of contour precision. In the contribution, a combination of Particle Swarm optimization (PSO) algorithm and Least Squares Support Vector Regression (LS-SVR) machine technique for intelligent recognition of dynamic synchronization error in dual linear axis feed process is presented. The 2d-time function of laser interferometer is applied in acquisition of the dynamic synchronization error data as recognition learning patterns. In recognition of various error characteristics during different process in the feed motion, dual important parameters of LS-SVR, support vector number and error punishment factor, are tuned with PSO in an intelligent way. To demonstrate the procedure of the proposed approach, an illustration is discussed in detail. The result shows that the combination technique can decrease support number 38.5% and effectively recognize the characteristics with 9.04 mu m error under 40m/min feed rate motion condition.
The key issues of combined electrodynamic methods construction in relation to the analysis of antenna systems and microwave elements are considered. Based on combined methods, the general algorithms of the analysis an...
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In recent years, with the development of machine learning as well as deep learning, named entity recognition has also been rapidly developed. Currently, with the huge saturation of the talent market, resulting in a dr...
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Similarity œmputing of short texts in botli Ctiinese and Lao is a basic t»sk in bilingual research of the Chinese and Lao, which is widely used in the fields of text matching and QA question answering. The corpus...
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Accurate short-term wind power forecasting is essential for economic dispatching and secure operation of power system with large-scale wind power integrated. The traditional prediction model performs poorly on the fea...
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