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Cognitive Computation and Systems
Scopus
ISSN 2517-7567 · Wiley · 142 artikel di indeks
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Artikel Jurnal
Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support
Abstract Mental health disorders have a global prevalence of 25%, according to the WHO, and this is exacerbated by factors such as stigma, geographical location, and a worldwide shortage of practitioners. Mental health chatbots have been developed to address these barriers, but these systems lack…
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Artikel Jurnal
Optimisation of deep neural network model using Reptile meta learning approach
Abstract The artificial intelligence (AI) within the last decade has experienced a rapid development and has attained power to simulate human‐thinking in various situations. When the deep neural networks (DNNs) are trained with huge dataset and high computational resources it can bring out great…
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Improved UNet‐based magnetic resonance imaging segmentation of demyelinating diseases with small lesion regions
Abstract Accurate magnetic resonance imaging (MRI) segmentation plays a critical role in the diagnosis and treatment of demyelinating diseases. But the existing automatic segmentation methods are not suitable for the segmentation of demyelinating lesions with small lesion size, highly diffuse edges…
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An Efficient Ensemble Learning Model Integrating Multi‐Branch Sub‐Networks for Facial Expression Recognition
ABSTRACT Accurate facial expression recognition is still challenging due to occlusion and location variability. Reducing computing overhead is also important because facial expression detection systems may be used in real‐time applications. This research provides an effective ensemble learning…
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Detection of autism spectrum disorder using multi‐scale enhanced graph convolutional network
Abstract Magnetic Resonance Imaging (MRI) based Autism Spectrum Disorder (ASD) detection approaches face various challenges due to variations in brain connectivity patterns, limited sample sizes, and heterogeneity of available data. These challenges make it hard to find consistent imaging markers…
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Artikel Jurnal
A real‐time cognitive map construction method based on the entorhinal‐hippocampal working mechanism of the rat's brain
Abstract The firing of spatial cells in the entorhinal‐hippocampal structure is believed to enable the formation of a cognitive map for the environment. Inspired by the spatial cognitive mechanism of the rat's brain, the authors proposed a real‐time cognitive map construction method based on the…
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MedBlockSure: Blockchain‐based insurance system
Abstract Health insurance plays a vital role during medical emergencies in the coverage against medical expenses. Insurance fraud is an international challenge that affects most economies worldwide. Government and private companies offer many insurance schemes. The successful implementation of…
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Artikel Jurnal
Garbage prediction using regression analysis for municipal corporations of Indian cities
Abstract Garbage management is exceptionally critical and poses enormous environmental challenges. It has always been a vital issue in municipal corporations. However, municipal agencies have developed and used garbage management systems. Garbage forecasting still plays a crucial role in the…
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Artikel Jurnal
Advancing low‐light object detection with you only look once models: An empirical study and performance evaluation
Abstract Low‐light object detection is needed for ensuring security, enabling surveillance, and enhancing safety in diverse applications, including autonomous vehicles, surveillance systems, and search and rescue operations. A comprehensive study on low‐light object detection is presented using…
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Multi‐modal fusion attention sentiment analysis for mixed sentiment classification
Abstract Mixed sentiment classification (MSC) technology has a significant research value and application potential in understanding and analysing sentimental interactions. In the process of identifying and analysing complex sentiments, it is still necessary to overcome the difficulties of…
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Brain network analysis of benign childhood epilepsy with centrotemporal spikes: With versus without interictal spikes
Abstract Brain networks provided powerful tools for the analysis and diagnosis of epilepsy. This paper performed a pairwise comparative analysis on the brain networks of Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS): spike group (spike), non‐spike group (non‐spike), and control group…
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Artikel Jurnal
Evolving usability heuristics for visualising Augmented Reality/Mixed Reality applications using cognitive model of information processing and fuzzy analytical hierarchy process
Abstract The pace of technological advancement is accelerating, and one of the latest developments is the emergence of Augmented Reality (AR) and Mixed Reality (MR) glasses as an extension of smartphones. The key to success lies in innovative research and technology that can reach a wide audience…
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Emotion classification with multi‐modal physiological signals using multi‐attention‐based neural network
Abstract The ability to effectively classify human emotion states is critically important for human‐computer or human‐robot interactions. However, emotion classification with physiological signals is still a challenging problem due to the diversity of emotion expression and the characteristic…
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Online parameter adaptive control of mobile robots based on deep reinforcement learning under multiple optimisation objectives
Abstract Fixed control parameters and various optimisation objectives significantly limit the robot control performance. To address such issues, a parameter adaptive controller based on deep reinforcement learning is introduced firstly to adjust control parameters according to the real‐time system…
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Artikel Jurnal
Research on the design and simulation of immersive VR considering peer‐to‐peer streaming media live broadcasting algorithm
Abstract The utilisation of P2P tech in streaming media live broadcasting algorithm can effectively link the nodes in the endpoint and accelerate the establishment of efficient transmission channels between nodes, so as to ensure the data feasibility of video live broadcasting of terminal nodes…
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Artikel Jurnal
EF‐CorrCA: A multi‐modal EEG‐fNIRS subject independent model to assess speech quality on brain activity using correlated component analysis
Abstract An investigation on the effect of mental activity in quality perception is presented using simultaneous measurement of electroencephalography (EEG) and functional near‐infrared spectroscopy (fNIRS), in a subject‐independent approach. Building a subject‐independent model is a harder problem…
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Adaptive classification helps hybrid visual brain computer interface systems handle non‐stationary cortical signals
Abstract The classifier efficiency of the brain‐computer interface systems is significantly impacted by the non‐stationarity of electroencephalogram (EEG) signals. We propose an adaptive variant of the linear discriminant analysis (LDA) classifier as a solution to this problem. This classifier…
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Artikel Jurnal
Detection of pedestrians and vehicles in autonomous driving with selective kernel networks
Abstract Accurate detection of pedestrians and vehicles on the road is an important content in autonomous driving technology. In this article, a method to optimise the object detection network using the channel attention mechanism is proposed. In general, small object detection problems and…
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Artikel Jurnal
Review and analysis of deep neural network models for Alzheimer's disease classification using brain medical resonance imaging
Abstract Alzheimer's disease is a type of progressive neurological disorder which is irreversible and the patient suffers from severe memory loss. This disease is the seventh largest cause of death across the globe. As yet there is no cure for this disease, the only way to control it is its early…
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Review on human‐like robot manipulation using dexterous hands
Abstract In recent years, human hand‐based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand model close to that of a human was an impossible task…