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Fixed-Time Control for Memristor-Based Quaternion-Valued Neural Networks with Discontinuous Activation Functions
Fixed-Time Control for Memristor-Based Quaternion-Valued Neural Networks with Discontinuous Activation Functions
This paper studies the fixed-time synchronization control of quaternion-valued memristive neural networks (QVMNNs). The QV...
A Boundary Regression Model for Nested Named Entity Recognition
A Boundary Regression Model for Nested Named Entity Recognition
Recognizing named entities (NEs) is commonly treated as a classification problem, and a class tag for a word or an NE cand...
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation
Shading devices are used to control solar radiations that penetrate into the occupied environment through the windows with...
Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers
Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers
In the green procurement management of firms, by rigorously evaluating and selecting suppliers, firms can effectively redu...
What You Say or How You Say It? Depression Detection Through Joint Modeling of Linguistic and Acoustic Aspects of Speech
What You Say or How You Say It? Depression Detection Through Joint Modeling of Linguistic and Acoustic Aspects of Speech
Depression is one of the most common mental health issues. (It affects more than 4% of the world’s population, accor...
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network
Melanins and sebums are two important criteria for the quality evaluation of skin, and they are capable of providing custo...
TraMiner: Vision-Based Analysis of Locomotion Traces for Cognitive Assessment in Smart-Homes
TraMiner: Vision-Based Analysis of Locomotion Traces for Cognitive Assessment in Smart-Homes
The rapid increase in the senior population is posing serious challenges to national healthcare systems. Hence, innovative...
Cascade Regression-Based Face Frontalization for Dynamic Facial Expression Analysis
Cascade Regression-Based Face Frontalization for Dynamic Facial Expression Analysis
Facial expression recognition has seen rapid development in recent years due to its wide range of applications such as hum...
A Novel IoT-Fog-Cloud-based Healthcare System for Monitoring and Preventing Encephalitis
A Novel IoT-Fog-Cloud-based Healthcare System for Monitoring and Preventing Encephalitis
In 2019, the outbreak of Acute Encephalitis Syndrome (AES) outbreak occurred in the Bihar region of India. AES, a viral in...
A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials
A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials
In this paper, we propose a human-vehicle cooperative driving system. The objectives of this research are twofold: (1) pro...
Dynamical Bifurcations in a Fractional-Order Neural Network with Nonidentical Communication Delays
Dynamical Bifurcations in a Fractional-Order Neural Network with Nonidentical Communication Delays
Although the number of investigation fruits on neural networks is growing explosively, the majority of such research effor...
An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features
An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features
Emotion can be influenced during self-isolation, and to avoid severe mood swings, emotional regulation is meaningful. To a...
Learning Discriminated Features Based on Feature Pyramid Networks and Attention for Multi-scale Object Detection
Learning Discriminated Features Based on Feature Pyramid Networks and Attention for Multi-scale Object Detection
As the research scene in object detection becomes increasingly complex, the extracted feature information needs to be furt...
C-Loss-Based Doubly Regularized Extreme Learning Machine
C-Loss-Based Doubly Regularized Extreme Learning Machine
Extreme learning machine has become a significant learning methodology due to its efficiency. However, extreme learning ma...
A Graph-Based Deep Reinforcement Learning Approach to Grasping Fully Occluded Objects
A Graph-Based Deep Reinforcement Learning Approach to Grasping Fully Occluded Objects
Grasping in cluttered scenes is an important issue in robotic manipulation. The cooperation of grasping and pushing action...
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications
This guest Special Issue encompasses fifteen papers devoted to recent developments in the field of deep learning and cogni...
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
Political tensions have grown throughout Europe since the beginning of the new century. The consecutive crises led to the ...
DLW-NAS: Differentiable Light-Weight Neural Architecture Search
DLW-NAS: Differentiable Light-Weight Neural Architecture Search
In recent years, the method of automatically constructing convolutional neural networks based on neural architecture searc...
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke
The high incidence of stroke occurrence necessitates the understanding of its causes and possible ways for early predictio...
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication
Scientists and regular citizens alike search for ways to manage the widespread effects of the COVID-19 pandemic. While sci...
Automatically Constructing a Fine-Grained Sentiment Lexicon for Sentiment Analysis
Automatically Constructing a Fine-Grained Sentiment Lexicon for Sentiment Analysis
Sentiment analysis is an important research area in natural language processing (NLP), and the performance of sentiment an...
Improving Zero-Shot Learning Baselines with Commonsense Knowledge
Improving Zero-Shot Learning Baselines with Commonsense Knowledge
Zero-shot learning — the problem of training and testing on a completely disjoint set of classes — relies grea...
WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications
WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications
Over recent years, the volume of big data has drastically increased for medical applications. Such data are shared by clou...
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection
Presentation attacks are becoming a serious threat to one of the most common biometric applications, namely face recogniti...
An Investigation to Identify Optimal Setup for Automated Assessment of Dysarthric Intelligibility using Deep Learning Technologies
An Investigation to Identify Optimal Setup for Automated Assessment of Dysarthric Intelligibility using Deep Learning Technologies
Recent advances in deep learning have provided an opportunity to improve and automate dysarthria intelligibility assessmen...
Cognitive Computing in Mental Healthcare: a Review of Methods and Technologies for Detection of Mental Disorders
Cognitive Computing in Mental Healthcare: a Review of Methods and Technologies for Detection of Mental Disorders
Mental disorders are closely related to deficits in cognitive control. Such cognitive impairments may result in aberration...
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network
For human beings, music is generally perceived, categorized, and enjoyed based on its attributes, such as rhythm, pitch, t...
Atten-GAN: Pedestrian Trajectory Prediction with GAN Based on Attention Mechanism
Atten-GAN: Pedestrian Trajectory Prediction with GAN Based on Attention Mechanism
Predicting pedestrian trajectories in dynamic scenarios is extremely challenging due to the mobility and flexibility of pe...
OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction
OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction
As an unsupervised learning method, the autoencoder (AE) plays a very important role in model pre-training. However, the c...
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation
Automatic multimodal image segmentation is considered a challenging research area in the biomedical field. U-shaped models...