Ayşegül Uçar

About Ayşegül Uçar

Ayşegül Uçar, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Firat Üniversitesi, specializes in the field of Artificial Intelligence and Autonomous Technologies: Robotics Vision, Autonomous Robots/Vehicles, Human Robot Interaction/Colla.

His recent articles reflect a diverse array of research interests and contributions to the field:

An efficient and robust approach using inductive transfer-based ensemble deep neural networks for kidney stone detection

Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends

Development of Push-Recovery control system for humanoid robots using deep reinforcement learning

Development of a new robust stable walking algorithm for a humanoid robot using deep reinforcement learning with multi-sensor data fusion

Current Applications of Deep Learning in Cancer Diagnostics

Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments

New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration

New convolutional neural network models for efficient object recognition with humanoid robots

Ayşegül Uçar Information

University

Position

___

Citations(all)

1557

Citations(since 2020)

1193

Cited By

752

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

26

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Ayşegül Uçar Skills & Research Interests

Artificial Intelligence and Autonomous Technologies: Robotics Vision

Autonomous Robots/Vehicles

Human Robot Interaction/Colla

Top articles of Ayşegül Uçar

An efficient and robust approach using inductive transfer-based ensemble deep neural networks for kidney stone detection

IEEE Access

2024/2/26

Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends

Procedia Manufacturing

2020/1/1

Development of Push-Recovery control system for humanoid robots using deep reinforcement learning

Ain Shams Engineering Journal

2023/10/1

Emrah Aslan
Emrah Aslan

H-Index: 1

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

Development of a new robust stable walking algorithm for a humanoid robot using deep reinforcement learning with multi-sensor data fusion

Electronics

2023/1/22

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

Current Applications of Deep Learning in Cancer Diagnostics

2023

Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments

Journal of Ambient Intelligence and Humanized Computing

2023

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration

Cluster Computing

2022/6

Recep Özalp
Recep Özalp

H-Index: 2

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

New convolutional neural network models for efficient object recognition with humanoid robots

Journal of Information and Telecommunication

2022

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

IEEE Access Special Section Editorial: Real-Time Machine Learning Applications in Mobile Robotics

IEEE Access

2021/6/28

Learning to move an object by the humanoid robots by using deep reinforcement learning

Intelligent Environments 2021: Workshop Proceedings of the 17th International Conference on Intelligent Environments

2021

Fast object recognition for humanoid robots by using deep learning models with small structure

2020/8/24

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

A review of deep reinforcement learning algorithms and comparative results on inverted pendulum system

2020

Skin lesion segmentation using fully convolutional networks: A comparative experimental study

Expert Systems with Applications

2020/12/15

Development of Deep Learning Algorithm for Humanoid Robots to Walk to the Target Using Semantic Segmentation and Deep Q Network

2020/10/15

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

Semantic segmentation for object detection and grasping with humanoid robots

2020/10/15

Ayşegül Uçar
Ayşegül Uçar

H-Index: 12

End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot

2020/8/24

See List of Professors in Ayşegül Uçar University(Firat Üniversitesi)