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

احصل على النص الكامل

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
احصل على النص الكامل

Estimating Bridge Deterioration Age Using Artificial Neural Networks حسب AL HUSSEIN, ASEEL

احصل على النص الكامل

Improving Rule Set Based Software Quality Prediction حسب Azar, Danielle

احصل على النص الكامل
احصل على النص الكامل

Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

احصل على النص الكامل

STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

"…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"

Cross entropy error function in neural networks حسب Nasr, G.E.

"…To forecast gasoline consumption (GC), the ANN uses previous GC data and its determinants in a training data set. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

احصل على النص الكامل

Exploring Digital Competitiveness through Bayesian Belief Networks حسب Qazi, Abroon

"…The methodology involves constructing BBN models using data from the IMD Digital Competitiveness Ranking 2023 for 64 countries. …"
احصل على النص الكامل

A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …"
احصل على النص الكامل

DNA Base-Calling Techniques حسب Odeh, Fadi

احصل على النص الكامل

Anomaly Detection Based Framework for Profile Monitoring حسب Al-Rahim, Nour Al-Huda Z. Al-Abed

احصل على النص الكامل

FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK حسب Al-Garni, Ahmed Z.

"…Three years of data are used for model building and validation. …"
احصل على النص الكامل

Improving INS/GPS Integration for Mobile Robotics Applications حسب AbuHashim, Tariq Salman

احصل على النص الكامل

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

"…The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …"

Indoor Localization Schemes for Mobile Robots حسب Al-Jarrah, Islam Mohammad-Amin

احصل على النص الكامل

Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

"…The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …"

Enhancing Student Services: Machine Learning Chatbot Intent Recognition for High School Inquiries حسب Assayed, Suha Khalil

احصل على النص الكامل
احصل على النص الكامل

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

"…We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …"

Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks حسب Sharma, Neetan

"…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …"
احصل على النص الكامل