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Cognitive Computation OnlineFirst articles

18.01.2021

COVID-19 Diagnosis via DenseNet and Optimization of Transfer Learning Setting

COVID-19 is an ongoing pandemic disease. To make more accurate diagnosis on COVID-19 than existing approaches, this paper proposed a novel method combining DenseNet and optimization of transfer learning setting (OTLS) strategy. Preprocessing was …

Autoren:
Yu-Dong Zhang, Suresh Chandra Satapathy, Xin Zhang, Shui-Hua Wang

18.01.2021

Distant Supervised Construction and Evaluation of a Novel Dataset of Emotion-Tagged Social Media Comments in Spanish

Tagged language resources are an essential requirement for developing machine-learning text-based classifiers. However, manual tagging is extremely time consuming and the resulting datasets are rather small, containing only a few thousand samples.

Autoren:
Juan Pablo Tessore, Leonardo Martín Esnaola, Laura Lanzarini, Sandra Baldassarri

18.01.2021

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification

Humans can detect outliers just by using only observations of normal samples. Similarly, one-class classification (OCC) uses only normal samples to train a classification model which can be used for outlier detection. This paper proposes a …

Autoren:
Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Sundaram Suresh, Alexandros Iosifidis, M. Tanveer

18.01.2021

Stock Price Prediction Incorporating Market Style Clustering

Market style analysis is critical when designing a stock price prediction framework. Under different market styles, stocks may show quite different behaviors; thus, predictions will vary. Consequently, incorporating market styles into stock price …

Autoren:
Xiaodong Li, Pangjing Wu

18.01.2021

Bifurcation Properties for Fractional Order Delayed BAM Neural Networks

In the past several decades, many papers involving the stability and Hopf bifurcation of delayed neural networks have been published. However, the results on the stability and Hopf bifurcation for fractional order neural networks with delays and …

Autoren:
Changjin Xu, Maoxin Liao, Peiluan Li, Ying Guo, Zixin Liu

18.01.2021

Co-Adjustment Learning for Co-Clustering

Co-clustering simultaneously performs clustering on the sample and feature dimensions of the data matrix, so it can obtain better insight into the data than traditional clustering. Adjustment learning extracts valuable information from chunklets …

Autoren:
Ji Zhang, Hongjun Wang, Shudong Huang, Tianrun Li, Peng Jin, Ping Deng, Qigang Zhao

17.01.2021

Pythagorean Fuzzy Multi-Criteria Decision Making Method Based on Multiparametric Similarity Measure

Big data industry decision is supremely important for companies to boost the efficiency of leadership, which can vastly accelerate industrialized. With regard to big data industry decision assessment, the intrinsic problem involves enormous …

Autoren:
Xindong Peng, Huiyong Yuan

16.01.2021

Analyzing Social Robotics Research with Natural Language Processing Techniques

The fast growth of social robotics (SR) has not been unidirectional, but rather towards a multidisciplinary scenario, creating a need for collaboration between different fields. This divergent expansion calls for a clear analysis of the field …

Autoren:
Daniele Mazzei, Filippo Chiarello, Gualtiero Fantoni

14.01.2021

Novel Similarity Measure Based on the Transformed Right-Angled Triangles Between Intuitionistic Fuzzy Sets and its Applications

Intuitionistic fuzzy set (IFS) is one of the most robust and trustworthy tools for portraying the imprecise information with the help of the membership degrees. Similarity measure, one of the information measures, plays an important role in …

Autoren:
Harish Garg, Dimple Rani

13.01.2021

Principal Component Analysis Applications in COVID-19 Genome Sequence Studies

RNA genomes from coronavirus have a length as long as 32 kilobases, and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused the outbreak of coronavirus disease 2019 (COVID-19) pandemic has long sequences which made the …

Autoren:
Bo Wang, Lin Jiang

13.01.2021

Assessing Mobile and Smart Technology Applications for Active and Healthy Aging using a Fuzzy Collaborative Intelligence Approach

Active and healthy living is critical in an aging society. Mobile and smart technology applications can assist in achieving this goal of healthy living. However, selecting a suitable and smart technology application for active and healthy living …

Autoren:
Min-Chi Chiu, Toly Chen

11.01.2021

Integrating Metamaterial Antenna Node and LiFi for Privacy Preserving Intelligent COVID-19 Hospital Patient Management

Light fidelity (LiFi) and wireless fidelity (WiFi) can be applied with the same network under the different constraints, which is suitable for COVID-19 surveillance in hospitals. The LiFi network is a high-capacity and security platform. A …

Autoren:
A. Garhwal, M. Bunruangses, A. E. Arumona, P. Youplao, K. Ray, S. Suwandee, P. Yupapin

06.01.2021

COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19

Chest CT is used in the COVID-19 diagnosis process as a significant complement to the reverse transcription polymerase chain reaction (RT–PCR) technique. However, it has several drawbacks, including long disinfection and ventilation times …

Autoren:
Ayturk Keles, Mustafa Berk Keles, Ali Keles

05.01.2021

Fuzzy Aggregated Topology Evolution for Cognitive Multi-tasks

Evolutionary optimization aims to tune the hyper-parameters during learning in a computationally fast manner. For optimization of multi-task problems, evolution is done by creating a unified search space with a dimensionality that can include all …

Autoren:
Iti Chaturvedi, Chit Lin Su, Roy E. Welsch

05.01.2021 Open Access

Deep Learning in Mining Biological Data

Recent technological advancements in data acquisition tools allowed life scientists to acquire multimodal data from different biological application domains. Categorized in three broad types (i.e. images, signals, and sequences), these data are …

Autoren:
Mufti Mahmud, M. Shamim Kaiser, T. Martin McGinnity, Amir Hussain

04.01.2021

Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19

The outbreak of the novel corona virus disease (COVID-19) in December 2019 has led to global crisis around the world. The disease was declared pandemic by World Health Organization (WHO) on 11th of March 2020. Currently, the outbreak has affected …

Autoren:
Abdullahi Umar Ibrahim, Mehmet Ozsoz, Sertan Serte, Fadi Al-Turjman, Polycarp Shizawaliyi Yakoi

04.01.2021

Heterogeneous Graph Network Embedding for Sentiment Analysis on Social Media

Nowadays, more people are used to express their attitudes on different entities in online social networks, forming user-to-entity sentiment links. These sentiment links imply positive or negative semantics. Most of current user sentiment analysis …

Autoren:
Zhigang Jin, Xiaofang Zhao, Yuhong Liu

04.01.2021

Modeling Articulatory Rehearsal in an Attention-Based Model of Working Memory

Maintenance of verbal information within human working memory occurs through two main complementary mechanisms: articulatory rehearsal and refreshing. Both are well-described in the literature but very few computational models have attempted to …

Autoren:
Benoît Lemaire, Charlotte Heuer, Sophie Portrat

04.01.2021

A Weight Importance Analysis Technique for Area- and Power-Efficient Binary Weight Neural Network Processor Design

Recently, the binary weight neural network (BWNN) processor design has attracted lots of attention due to its low computational complexity and memory demands. For the design of BWNN processor, emerging memory technologies such as RRAM can be used …

Autoren:
Yin Wang, Yuxiang Xie, Jiayan Gan, Liang Chang, Chunbo Luo, Jun Zhou

04.01.2021

A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset

Coronavirus, also known as COVID-19, has spread to several countries around the world. It was announced as a pandemic disease by The World Health Organization (WHO) in 2020 for its devastating impact on humans. With the advancements in computer …

Autoren:
Nour Eldeen M. Khalifa, Florentin Smarandache, Gunasekaran Manogaran, Mohamed Loey