Search Results - "Kasabov, Nikola"

NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data by Kasabov, Nikola K.

“…The brain functions as a spatio-temporal information processing machine. Spatio- and spectro-temporal brain data (STBD) are the most commonly collected data…”
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Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements by Kumarasinghe, Kaushalya, Kasabov, Nikola, Taylor, Denise

“…Compared to the abilities of the animal brain, many Artificial Intelligence systems have limitations which emphasise the need for a Brain-Inspired Artificial…”
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GeSeNet: A General Semantic-Guided Network With Couple Mask Ensemble for Medical Image Fusion by Li, Jiawei, Liu, Jinyuan, Zhou, Shihua, Zhang, Qiang, Kasabov, Nikola K.

“…At present, multimodal medical image fusion technology has become an essential means for researchers and doctors to predict diseases and study pathology…”
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Unsupervised Change Detection in Wide-Field Video Images Under Low Illumination by Shi, Baoqiang, Jia, Zhenhong, Yang, Jie, Kasabov, Nikola K.

“…In low-illumination environments such as at night, due to factors such as the large monitoring field of an eagle eye, short sensor exposure time, and…”
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Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion by Li, Jiawei, Liu, Jinyuan, Zhou, Shihua, Zhang, Qiang, Kasabov, Nikola K.

“…Nowadays, deep learning has made rapid progress in the field of multi-exposure image fusion. However, it is still challenging to extract available features…”
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Spiking neural networks for deep learning and knowledge representation: Editorial by Kasabov, Nikola K.

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Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series by Bose, Pritam, Kasabov, Nikola K., Bruzzone, Lorenzo, Hartono, Reggio N.

“…This paper presents spiking neural networks (SNNs) for remote sensing spatiotemporal analysis of image time series, which make use of the highly parallel and…”
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Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data by Doborjeh, Maryam Gholami, Kasabov, Nikola, Doborjeh, Zohreh Gholami

“…Clustering is a fundamental data processing technique. While clustering of static (vector based) data and of fixed window size time series have been well…”
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Integrating Spatial and Temporal Information for Violent Activity Detection from Video Using Deep Spiking Neural Networks by Wang, Xiang, Yang, Jie, Kasabov, Nikola K

“…Increasing violence in workplaces such as hospitals seriously challenges public safety. However, it is time- and labor-consuming to visually monitor masses of…”
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Spiking Neural Networks for Computational Intelligence: An Overview by Dora, Shirin, Kasabov, Nikola

“…Deep neural networks with rate-based neurons have exhibited tremendous progress in the last decade. However, the same level of progress has not been observed…”
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What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review by Kelsen, Brent A., Sumich, Alexander, Kasabov, Nikola, Liang, Sophie H.Y., Wang, Grace Y.

“…•Emergence of synchrony identified in verbal communication hyperscanning studies.•Identifies knowledge sharing, turn-taking, and naturalistic discussion…”
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Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data by Kasabov, Nikola K., Tan, Yongyao, Doborjeh, Maryam, Tu, Enmei, Yang, Jie, Goh, Wilson, Lee, Jimmy

“…The article demonstrates for the first time that a brain-inspired spiking neural network (SNN) architecture can be used not only to learn spatio-temporal data,…”
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Construction of new 5D Hamiltonian conservative hyperchaotic system and its application in image encryption by Ning, Xiangyang, Dong, Qing, Zhou, Shihua, Zhang, Qiang, Kasabov, Nikola K.

“…While the Internet has made great progress in facilitating modern life, the importance of protecting information security becomes increasingly prominent. In…”
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NeuDen: a framework for the integration of neuromorphic evolving spiking neural networks with dynamic evolving neuro-fuzzy systems for predictive and explainable modelling of streaming data by Hassan, Iman Yakzan Abou, Kasabov, Nikola K.

“…This paper introduces a novel framework, called here 'NeuDen' for the integration of neuromorphic evolving spiking neural networks (eSNN), that learn…”
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A class of 5D Hamiltonian conservative hyperchaotic systems with symmetry and multistability by Dong, Qing, Zhou, Shihua, Zhang, Qiang, Kasabov, Nikola K.

“…Conservative chaos systems have been investigated owing to their special advantages. Taking symmetry as a starting point, this study proposes a class of…”
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Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance Filter by Ni, Dongdong, Jia, Zhenhong, Yang, Jie, Kasabov, Nikola k.

“…Sand-dust videos obtained in a low-light environment are characterized by low contrast, nonuniform illumination, color cast, and considerable noise. To realize…”
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Spiking neural networks for predictive and explainable modelling of multimodal streaming data with a case study on financial time series and online news by AbouHassan, Iman, Kasabov, Nikola K., Jagtap, Vinayak, Kulkarni, Parag

“…In a first study, this paper argues and demonstrates that spiking neural networks (SNN) can be successfully used for predictive and explainable modelling of…”
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A Dynamic DNA Color Image Encryption Method Based on SHA-512 by Zhou, Shihua, He, Pinyan, Kasabov, Nikola

“…This paper presents a dynamic deoxyribonucleic acid (DNA) image encryption based on Secure Hash Algorithm-512 (SHA-512), having the structure of two rounds of…”
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Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework by Al Zoubi, Obada, Awad, Mariette, Kasabov, Nikola K.

“…Recent technological advances in machine learning offer the possibility of decoding complex datasets and discern latent patterns. In this study, we adopt…”
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Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals by Saeedinia, Samaneh Alsadat, Jahed-Motlagh, Mohammad Reza, Tafakhori, Abbas, Kasabov, Nikola

“…This paper proposes a novel method and algorithms for the design of MRI structured personalized 3D spiking neural network models (MRI-SNN) for a better…”
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