SVM-based control chart for Quality 4.0 by Abdelwahid, Issra M.

Get full text

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…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. …”

HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images by Zahoor Ahmad (358103)

Regression estimation for continuous-time functional data processes with missing at random response by Mohamed Chaouch (17983846)

“…<p dir="ltr">In this paper, we are interested in nonparametric kernel estimation of a generalised regression function based on an incomplete sample (,,)∈[0,] copies of a continuous-time stationary and ergodic process (,,). …”

Moments-based computation of intermodulation distortion of RF circuits by Tannir, Dani

“…On the other hand, analytical approaches based on obtaining closed-form expressions for Volterra functional series are too complex to be fully automated for arbitrary circuit topologies. …”
Get full text
Get full text
Get full text
Get full text

Single channel speech denoising by DDPG reinforcement learning agent by Sania Gul (18272227)

“…Also, its learnable parameters are the lowest among all models, almost 12 times less than the next most compact model, based on another continuous RL agent (policy gradient (PG)) for estimating its convolutional kernels. …”

Towards estimation of CO₂ adsorption on highly porous MOF-based adsorbents using gaussian process regression approach by Majedeh Gheytanzadeh (17541927)

Early diabetic retinopathy diagnosis based on local retinal blood vessel analysis in optical coherence tomography angiography (OCTA) images by Eladawi, Nabila

“…To distinguish mild DR patients from normal cases, the estimated three features are used to train and test a support vector machine (SVM) classifier with the radial basis function (RBF) kernel. Results On a cohort of 105 subjects, the presented DR‐CAD system demonstrated an overall accuracy (ACC) of 94.3%, a sensitivity of 97.9%, a specificity of 87.0%, the area under the curve (AUC) of 92.4%, and a Dice similarity coefficient (DSC) of 95.8%. …”
Get full text
Get full text
Get full text
Get full text

Analysis of macro and micro elemental composition of different extracts and finished products of the medicinal Herb – Terminalia bellirica by Gunasekar, Conjeevaram J.

“…Four types of extracts were prepared (aqueous extracts of T. bellirica fruit, alcoholic extract of T. bellirica fruit, alcoholic extract of seed oil from T. bellirica nuts, and alcoholic extract of T. bellirica seed kernel). …”
Get full text

Conformal Invariants in Simply Connected Domains by Mohamed M. S. Nasser (14152227)

“…<p>This paper studies the numerical computation of several conformal invariants of simply connected domains in the complex plane including, the hyperbolic distance, the reduced modulus, the harmonic measure, and the modulus of a quadrilateral. The used method is based on the boundary integral equation with the generalized Neumann kernel. …”

Driver stress level detection using HRV analysis by Munla, Nermine

“…Several classification techniques were investigated including support vector machine with radial basis function (SVM-RBF) kernel, K nearest neighbor (KNN), and radial basis function (RBF) classifiers. …”
Get full text
Get full text
Get full text
Get full text

Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach by Majedeh Gheytanzadeh (17541927)

“…A robust Gaussian process regression (GPR) approach with four kernel functions is proposed to predict the hydrogen absorption energy based on the inputs. …”

Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning by Moussa, Mostafa Mohamed

Get full text

Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier by JAIN, SWETA

“…Region of Interest (ROI) based functional connectivity feature is extracted with VGG-16 and these features are classified with DM optimized ResNet. …”
Get full text
Get full text