DCNNBT: A novel deep convolution neural network-based brain tumor classification model
An early brain tumor diagnosis is crucial for effective and proactive treatment, which
improves the patient's survival rate. In this paper, we propose a novel Deep Convolutional …
improves the patient's survival rate. In this paper, we propose a novel Deep Convolutional …
[HTML][HTML] The effect of climate change on the dynamics of a modified surface energy balance-mass balance model of Cryosphere under the frame of a non-local …
One of the major causes of the intermittent nature of long-term climate changes is the
interaction between the surface energy balance and the mass balance of the Cryosphere. In …
interaction between the surface energy balance and the mass balance of the Cryosphere. In …
Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller
FW Alsaade, Q Yao, S Bekiros, MS Al-zahrani… - Chaos, Solitons & …, 2022 - Elsevier
It is well known that the satellite attitude motion exhibits the chaotic phenomenon. This
article addresses the challenging problem of chaotic attitude synchronization and anti …
article addresses the challenging problem of chaotic attitude synchronization and anti …
Infinitely many coexisting attractors and scrolls in a fractional-order discrete neuron map
The neural network activation functions enable neural networks to have stronger fitting
abilities and richer dynamical behaviors. In this paper, an improved fractional-order discrete …
abilities and richer dynamical behaviors. In this paper, an improved fractional-order discrete …
[HTML][HTML] Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections
The world experienced the life-threatening COVID-19 disease worldwide since its inversion.
The whole world experienced difficult moments during the COVID-19 period, whereby most …
The whole world experienced difficult moments during the COVID-19 period, whereby most …
Physics-informed neural network for solving Hausdorff derivative Poisson equations
This paper proposed a new physics-informed neural network (PINN) for solving the
Hausdorff derivative Poisson equations (HDPEs) on irregular domains by using the concept …
Hausdorff derivative Poisson equations (HDPEs) on irregular domains by using the concept …
A new buffering theory of social support and psychological stress
A dynamical model linking stress, social support, and health has been recently proposed
and numerically analyzed from a classical point of view of integer-order calculus. Although …
and numerically analyzed from a classical point of view of integer-order calculus. Although …
Terminal sliding mode attitude-position quaternion based control of quadrotor unmanned aerial vehicle
In this paper is presented the development of a terminal sliding mode attitude-position
quaternion based control of a quadrotor unmanned aerial vehicle UAV. First, the dynamics …
quaternion based control of a quadrotor unmanned aerial vehicle UAV. First, the dynamics …
Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks
In the crucial arena of neurological care, pre-seizure, and seizure diagnosis stand as
imperative focal points. While existing literature has probed this area, it demands sustained …
imperative focal points. While existing literature has probed this area, it demands sustained …
Adaptive fixed-time robust control for function projective synchronization of hyperchaotic economic systems with external perturbations
In today's sophisticated world, where financial systems play an increasingly important role,
the application of controllers through management strategies is of crucial importance, given …
the application of controllers through management strategies is of crucial importance, given …