MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network حسب Sakib Mahmud (15302404)

"…All the eleven deep CNN models are trained and tested using a single-channel benchmark EEG dataset containing 23 sets of motion-corrupted and reference ground truth EEG signals from PhysioNet. …"

Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

"…Hence, the reliability of shallow and deep models with higher accuracy scores was questionable since they were trained and tested on relatively small data sets of a few diagnostic classes.…"

Intelligent route to design efficient CO₂ reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

"…Accordingly, a dataset containg 258 data points was extracted from the DFT method to use in machine learning method. …"

Adaptive Video Streaming Over Cognitive Radio Networks حسب Mohamed, Ala Eldin Omer

احصل على النص الكامل

Adaptive STATCOM Control for a Multi-machine Power System حسب Rahim, A.H.M.A.

"…It was observed that the adaptive algorithm converges very quickly and also provides robust damping profiles to the under damped power system. …"
احصل على النص الكامل

Education Data Mining to Predict Student Exam Grades in Vocational Institutes حسب Saleh, Ashjan Ahmad

احصل على النص الكامل

Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller حسب Rahim, A.H.M.A.

"…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …"
احصل على النص الكامل

A Novel Centrality-Based Approach for Link Prediction حسب El Khoury, Elissa Lichaa

"…We tested our method on several real-world benchmark networks. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

CEAP حسب Abdel Wahab, Omar

"…The first challenge is related to the highly mobile nature of vehicles that complicates the processes of monitoring, buffering, and analyzing observations on these vehicles as they are continuously moving and changing their locations. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks حسب Javed Butt , Usman

احصل على النص الكامل
احصل على النص الكامل

Data mining approach to predict student's selection of program majors حسب SIDDARTHA, SHARMILA

"…Cross validation is applied to train and test performance of models. Naïve Bayes, Decision Trees offered the best predictions across the different sampling techniques. …"
احصل على النص الكامل

Transformations for Variants of the Travelling Salesman Problem and Applications حسب Assaf, Mustafa Jamil

احصل على النص الكامل

Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings حسب Ahmad Yaser Alhaddad (7017434)

"…Additionally, we evaluate the performance of the best developed model with children. Machine learning algorithms experiments showed that XGBoost achieved the best performance across all metrics (e.g., accuracy of 90%) and provided fast predictions (i.e., 0.004 s) for the test samples. …"

Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases حسب Muhammad Ali Muzammil (17910611)

"…The conventional ECG is a frequently used, inexpensive, and easily accessible test that offers important information about the physiological and anatomical state of the heart. …"

Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces حسب Uzair Sajjad (19646296)

"…The model with all the surface morphological features, liquid thermophysical properties, and pool boiling testing parameters demonstrates the highest correlation coefficient, R² = 0.985, for HTC prediction. …"

Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage حسب Yousra Regaya (17788964)

"…Here, we present a method combining a multiresolution and a statistical approach in two dimensional domain to segment cerebral aneurysm in which the Contourlet transform (CT) extracts the image features, while the Hidden Markov Random Field with Expectation Maximization (HMRF-EM) segments the image, based on the spatial contextual constraints. The proposed algorithm is tested on Three-Dimensional Rotational Angiography (3DRA) datasets; the average values of segmentation accuracy, DSC, FPR, FNR, specificity, and sensitivity, are found to be 99.72%, 93.52%, 0.07%, 5.23%, 94.77%, and 99.96%, respectively.…"

Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis حسب Jithin Kalathikudiyil Sreedharan (18268894)

"…<h3>Introduction</h3><p dir="ltr">Artificial intelligence has come to be the highlight in almost all fields of science. It uses various models and algorithms to detect patterns and specific findings to diagnose a disease with utmost accuracy. …"

A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System حسب Mohamed Amjath (17542512)

"…Validation is conducted using a discrete event simulation (DES) model. Results: The proposed analytical model tested within a steel manufacturing plant’s material transfer process. …"

Low Cost Autopilot Design Using Fuzzy Supervisory Control حسب Hadi, Mahmoud

احصل على النص الكامل

A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV) حسب Roigari, Milad

احصل على النص الكامل