صورة الباحث

ليلى حاتم عبود موسى النداوي

الجامعة التكنولوجية

60066@uotechnology.edu.iq

Layla H. Abood has graduated from the Electrical Engineering Department at the University of Technology. She worked as Assistant Lecturer in the Control and System Department at the University of Technology from in 2013. At 2015 was studied a PhD in the University of Technology and at 2020 finished her PhD degree and work as a PhD lecturer in Control and System Department at the University of Technology.

معرف سكوباس

57208427379

معامل هيرتش

13

عدد البحوث

30

عدد الاستشهادات

344

Physics and Astronomy (all)

Engineering (all)

Information Systems

Computer Science (all)

Computer Networks and Communications

Mathematics (all)

Electrical and Electronic Engineering

Statistical and Nonlinear Physics

Computer Science (miscellaneous)

Computer Science Applications

Hardware and Architecture

Information Systems and Management

Engineering (miscellaneous)

Instrumentation

Energy Engineering and Power Technology

Safety, Risk, Reliability and Quality

Applied Mathematics

Oral Surgery

Renewable Energy, Sustainability and the Environment

Signal Processing

Computer Vision and Pattern Recognition

Software

Modeling and Simulation

Industrial and Manufacturing Engineering

Artificial Intelligence

Decision Sciences (miscellaneous)

Mechanical Engineering

Mathematics (miscellaneous)

Control and Optimization

Control and Systems Engineering

Aerospace Engineering

Statistics and Probability

Analysis

عنوان البحث تاريخ النشر اسم المجلة رابط
Integrated Different Fingerprint Identification and Classification Systems based Deep Learning 2022-01-01 Proceedings of the 2nd 2022 International Conference on Computer Science and Software Engineering Csase 2022 عرض
Convolution neural network and histogram equalization for COVID-19 diagnosis system 2021-10-01 Indonesian Journal of Electrical Engineering and Computer Science عرض
Design of fractional order PID controller for AVR system using whale optimization algorithm 2021-09-01 Indonesian Journal of Electrical Engineering and Computer Science عرض
FPGA Implementation of Single Neuron PID Controller for Depth of Anesthesia Based on PSO 2018-07-02 2018 3rd Scientific Conference of Electrical Engineering Scee 2018 عرض
Implementation of self tune single neuron PID controller for depth of anesthesia by FPGA 2018-01-01 Communications in Computer and Information Science عرض