Activity recognition based on smartphone sensor data using shallow and deep learning techniques: A Comparative Study

AI Middya, S Kumar, S Roy - Multimedia Tools and Applications, 2024 - Springer
Human activity recognition by the use of smartphone-equipped sensors has gotten a lot of
interest in current times because of its large variety of applications. In this regard, this study …

Two-legged robot motion control with recurrent neural networks

B Çatalbaş, Ö Morgül - Journal of Intelligent & Robotic Systems, 2022 - Springer
Legged locomotion is a desirable ability for robotic systems thanks to its agile mobility and
wide range of motions that it provides. In this paper, the use of neural network-based …

Two-Legged Robot System Identification With Artificial Neural Networks

B Çatalbaş, B Çatalbaş, Ö Morgül - 2020 28th Signal …, 2020 - ieeexplore.ieee.org
Legged robot platforms, unlike wheeled robots, have a hybrid dynamic structure consisting
of the flight and contact phases of the legs. Since the hybrid dynamic structure and nonlinear …

Tracking the Nodal Point of Weakly Electric Fish Using Artificial Neural Networks

B Çatalbaş, D Elikuru, EY Aydın… - 2023 31st Signal …, 2023 - ieeexplore.ieee.org
In living beings, there is a closed-loop system called sensorimotor transformation, in which
the signals received by the sensory organs from the environment are processed in the …

A new initialization method for artificial neural networks: Laplacian

B Çatalbaş, B Çatalbaş, Ö Morgül - 2018 26th Signal …, 2018 - ieeexplore.ieee.org
Artificial neural networks' popularity in the field of machine learning increases day by day
since 2006, foundation date of deep learning. One of the factors which greatly affects the …

Two-Legged Robot Motion Control With Recurrent Neural Networks

Ç Bahadır, M Ömer - Journal of Intelligent & Robotic Systems, 2022 - search.proquest.com
Legged locomotion is a desirable ability for robotic systems thanks to its agile mobility and
wide range of motions that it provides. In this paper, the use of neural network-based …

Detection of smart phone position on user using artificial neural network classifier

V Bayar, MÖ Efe - 2018 26th Signal Processing and …, 2018 - ieeexplore.ieee.org
Smart phone use in indoor positioning systems are popular. In the case of commonly used
received signal strength (RSS) based positioning methods, the problem is that RSS values …

A comparative study of ANN tuning methods for multiclass daily activity and fall recognition

T Aktay, MÖ Efe - Pattern Recognition and Artificial Intelligence: Third …, 2020 - Springer
Smart phones and other sensor-enabled devices are very frequently used daily life devices.
Movement data obtained by sensors from these devices can be interpreted by artificial …

Diagnóstico de falhas de estator em motores de indução trifásicos via informação mútua e transformação de Clarke.

EA Nunes - 2023 - teses.usp.br
Este estudo apresenta um sistema para diagnóstico do nível de severidade de falhas de
curtocircuito entre espiras do enrolamento do estator de motores de indução trifásicos …

Improved artificial neural network training with advanced methods

B Çatalbaş - 2018 - search.proquest.com
Abstract Artificial Neural Networks (ANNs) are used for different machine learning tasks such
as classification, clustering etc. They have been utilized in important tasks and offering new …