Cognitive Computation

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Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning
Cognitive Computation - Tập 15 - Trang 580-589 - 2022
Da Ke, Xiang Wang, Kaizhu Huang, Haoyuan Wang, Zhitao Huang
Integrating cognitive radio (CR) technique with wireless networks is an effective way to solve the increasingly crowded spectrum. Automatic modulation classification (AMC) plays an important role in CR. AMC significantly improves the intelligence of CR system by classifying the modulation type and signal parameters of received communication signals. AMC can provide more information for decision ma... hiện toàn bộ
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction
Cognitive Computation - Tập 14 - Trang 1689-1710 - 2021
Annunziata Paviglianiti, Vincenzo Randazzo, Stefano Villata, Giansalvo Cirrincione, Eros Pasero
Continuous vital signal monitoring is becoming more relevant in preventing diseases that afflict a large part of the world’s population; for this reason, healthcare equipment should be easy to wear and simple to use. Non-intrusive and non-invasive detection methods are a basic requirement for wearable medical devices, especially when these are used in sports applications or by the elderly for self... hiện toàn bộ
Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM
Cognitive Computation - Tập 15 - Trang 1672-1686 - 2023
Lixiang Xu, Wei Xu, Qingzhe Cui, Mengying Li, Bin Luo, Yuanyan Tang
The input for stock market prediction is usually a period of stock price data with time series characteristics, which will keep changing over time and have more complex background relationships. How to effectively mine and fuse multiple heterogeneous data of the stock market is difficult to be handled by traditional recurrent neural networks (RNN). To solve this problem, we divide the regression m... hiện toàn bộ
Reducing Features Using Discriminative Common Vectors
Cognitive Computation - - 2010
Carlos M. Travieso, Marcos del Pozo, Miguel A. Ferrer, Jesús B. Alonso
A feature reduction system based on Discriminative Common Vector is presented and evaluated in this paper. The validation of this system was made with three databases, first one is DNA markers and the other two are The ORL Database of Face and The Yale Face Database. Moreover, a supervised classification system has been implemented with three different classifiers, achieving the best success rates... hiện toàn bộ
Negotiating over Mobile Phones: Calling or Being Called Can Make the Difference
Cognitive Computation - Tập 6 - Trang 677-688 - 2014
Alessandro Vinciarelli, Hugues Salamin, Anna Polychroniou
Mobile phones pervade our everyday life like no other technology, but the effects they have on one-to-one conversations are still relatively unknown. This paper focuses on how mobile phones influence negotiations, i.e., on discussions where two parties try to reach an agreement starting from opposing preferences. The experiments involve 60 pairs of unacquainted individuals (120 subjects). They mus... hiện toàn bộ
Feature Selection Based on Modified Bio-inspired Atomic Orbital Search Using Arithmetic Optimization and Opposite-Based Learning
Cognitive Computation - Tập 14 - Trang 2274-2295 - 2022
Mohamed Abd Elaziz, Salima Ouadfel, Ahmed A. Abd El-Latif, Rehab Ali Ibrahim
Feature selection (FS) has the largest influence on the performance of machine learning methods. FS can remove the irrelevant and redundancy features from the data while preserving the same quality of increasing it. However, the traditional FS methods are time-consuming and can be stuck in local optima. So, the metaheuristic (MH) techniques are used to avoid these limitations since they have sever... hiện toàn bộ
Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining
Cognitive Computation - Tập 10 - Trang 62-72 - 2017
Qingqun Ning, Jianke Zhu, Chun Chen
With the rapid development of deep learning techniques, semantic image segmentation has been considerably improved recently, which is viewed as the key problem of scene understanding in computer vision. These advances are built upon the capability of complex architectures for deep neural network. In this paper, we present a novel deep neural network architecture designed for semantic image segment... hiện toàn bộ
A Cognitive Model of Saliency, Attention, and Picture Scanning
Cognitive Computation - Tập 1 Số 4 - Trang 292-299 - 2009
Vassilis Cutsuridis
Scaffold-A549: A Benchmark 3D Fluorescence Image Dataset for Unsupervised Nuclei Segmentation
Cognitive Computation - Tập 13 - Trang 1603-1608 - 2021
Kai Yao, Kaizhu Huang, Jie Sun, Linzhi Jing, Dejian Huang, Curran Jude
A general trend of nuclei segmentation is the transition from two-dimensional to three-dimensional nuclei segmentation and from traditional image processing methods to data-driven cognitively inspired methods. Existing nuclei segmentation datasets do not meet this trend: They either do not contain enough samples for training the deep learning model or not contain challenging 3D structure. Thus, la... hiện toàn bộ
An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing
Cognitive Computation - Tập 14 - Trang 48-61 - 2021
Oscar Araque, Carlos A. Iglesias
The dramatic growth of the Web has motivated researchers to extract knowledge from enormous repositories and to exploit the knowledge in myriad applications. In this study, we focus on natural language processing (NLP) and, more concretely, the emerging field of affective computing to explore the automation of understanding human emotions from texts. This paper continues previous efforts to utiliz... hiện toàn bộ
Tổng số: 830   
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