Wafa Batayneh
YOU?
Author Swipe
A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model Open
Precise and real-time estimation of the robotic arm’s position on the patient’s side is essential for the success of remote robotic surgery in Tactile Internet (TI) environments. This paper presents a prediction model based on the Transfor…
Enhanced Position Estimation in Tactile Internet-Enabled Remote Robotic Surgery Using MOESP-Based Kalman Filter Open
Accurately estimating the position of a patient's side robotic arm in real time during remote surgery is a significant challenge, especially within Tactile Internet (TI) environments. This paper presents a new and efficient method for posi…
A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model Open
Precise and real-time estimation of the robotic arm's position on the patient's side is essential for the success of remote robotic surgery in Tactile Internet (TI) environments. This paper presents a prediction model based on the Transfor…
Predictive Position Estimation for Remote Surgery under Packet Loss Using the Informer Framework Open
Accurate and real-time position estimation of the robotic arm on the patient's side is crucial for the success of remote robotic surgery in Tactile Internet environments. This paper proposes a predictive approach using the computationally …
Enhancing Precision in Tactile Internet-Enabled Remote Robotic Surgery: Kalman Filter Approach Open
Accurately estimating the position of a patient's side robotic arm in real time in a remote surgery task is a significant challenge, particularly in Tactile Internet (TI) environments. This paper presents a Kalman Filter (KF) based computa…
Decentralized Motion Control for Omnidirectional Wheelchair Tracking Error Elimination Using PD-Fuzzy-P and GA-PID Controllers Open
The last decade observed a significant research effort directed towards maneuverability and safety of mobile robots such as smart wheelchairs. The conventional electric wheelchair can be equipped with motorized omnidirectional wheels and s…
Prediction of the performance of artificial neural networks in mapping sEMG to finger joint angles via signal pre-investigation techniques Open
The inputs to the outputs of nonlinear systems can be modeled using machine and deep learning approaches, among which artificial neural networks (ANNs) are a promising option. However, noisy signals affect ANN modeling negatively; hence, i…
Industrial Experience and Disciplinary Knowledge Impact on Creative Outcomes in a Making Context: A Case Study of Graduate Level Industrial Engineering Course Open
Background: Design and creativity are essential elements of problem-solving. Purpose: The purpose of the research presented herein is to identify the impacts of learning in different study programs on students’ abilities to generate and im…