-
1
-
2
Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
doctoralThesis -
3
-
4
-
5
-
6
-
7
-
8
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Effective and reliable assessment methods are required to accurately classify and estimate brain age. In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …”
-
9
Shuffled Linear Regression with Erroneous Observations
Published 2019“…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
10
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
Published 2022“…In the event of a violation in internet security, an attacker was able to interfere with the system's functions, which might result in catastrophic consequences. …”
Get full text
Get full text
-
11
-
12
On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints
Published 2022“…<p>In this paper, we study the minimization of an indefinite quadratic function over the intersection of balls and linear inequality constraints (QOBL). …”
-
13
-
14
From Collatz Conjecture to chaos and hash function
Published 2023“…<p>The non-linear property of Chaos is a promising approach to information security, and many accomplishments have been made by combining Chaos with several sub-security domains, including chaos-based stream ciphers, block ciphers, image encryption, and hash functions. …”
-
15
Iterative Least Squares Functional Networks Classifier
Published 2007“…The study was achieved with only sets of second-order linearly independent polynomial functions to approximate the neuron functions. …”
Get full text
Get full text
article -
16
-
17
Evolution Of Activation Functions for Neural Architecture Search
Published 2020“…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …”
Get full text
Get full text
Get full text
masterThesis -
18
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
Published 2023“…Earlier diagnosis of ASD from brain image is necessary for reducing the effect of disorder. …”
Get full text
Get full text
-
19
A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…The estimation error covariance matrix is shown to converge to zero for linearized functions while considering additive zero-mean white noise. …”
Get full text
Get full text
Get full text
Get full text
article -
20
Distributed dimension reduction algorithms for widely dispersed data
Published 2002“…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…”
Get full text
Get full text
Get full text
conferenceObject