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View article: MH-WMG: A Multi-Head Wavelet-Based MobileNet with Gated Linear Attention for Power Grid Fault Diagnosis
MH-WMG: A Multi-Head Wavelet-Based MobileNet with Gated Linear Attention for Power Grid Fault Diagnosis Open
Artificial intelligence is increasingly embedded in power systems to boost efficiency, reliability, and automation. This study introduces an end-to-end, AI-driven fault-diagnosis pipeline built around a Multi-Head Wavelet-based MobileNet w…
View article: An Enhanced Forecasting Method of Daily Solar Irradiance in Southwestern France: A Hybrid Nonlinear Autoregressive with Exogenous Inputs with Long Short-Term Memory Approach
An Enhanced Forecasting Method of Daily Solar Irradiance in Southwestern France: A Hybrid Nonlinear Autoregressive with Exogenous Inputs with Long Short-Term Memory Approach Open
The increasing global reliance on renewable energy sources, particularly solar energy, underscores the critical importance of accurate solar irradiance forecasting. As solar capacity continues to grow, precise predictions of solar irradian…
View article: Signal Processing Application Based on a Hybrid Wavelet Transform to Fault Detection and Identification in Power System
Signal Processing Application Based on a Hybrid Wavelet Transform to Fault Detection and Identification in Power System Open
The power system is one of the most susceptible systems to failures, which are most frequently caused by transmission line faults. Transmission line failures account for 85% of all power system malfunctions. However, over the last decade, …
View article: Plato’s Philosophy and Cloud Computing System with a Cognitive Approach
Plato’s Philosophy and Cloud Computing System with a Cognitive Approach Open
In this study, a cognitive approach has been adopted to examine the relationship between Plato’s philosophy and modern cloud computing systems. Plato’s theory of forms has been conceptualized within the framework of digital technologies, e…
View article: Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview
Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview Open
This study endeavors to investigate the effectiveness of machine learning-based methodologies in enhancing the performance and reliability of Power Line Communication (PLC) systems. PLC systems constitute a critical component within the do…
View article: Investigation of Timbral Qualities of Guitar Using Wavelet Analysis
Investigation of Timbral Qualities of Guitar Using Wavelet Analysis Open
Aim of this study is presenting a practical and accurate approach for objective evaluation of guitars that is suitable for performing by the different parties of the field.For this purpose, timbral qualities of classical guitars are invest…
View article: Integrated Fault Evaluation Through Fusion Algorithm Supported by Kalman Filter
Integrated Fault Evaluation Through Fusion Algorithm Supported by Kalman Filter Open
An Integrated Fault Evaluation (IFE) process is proposed in this study. It includes Sensor Validation (SV), Fault Detection (FD) and Fault Source Identification (FSI). The proposed algorithm employs data fusion algorithm enhanced by Kalman…
View article: Advances in Neural Signal Processing
Advances in Neural Signal Processing Open
Neural signal processing is a specialized area of signal processing aimed at extracting information or decoding intent from neural signals recorded from the central or peripheral nervous system. This has significant applications in the are…
View article: Detection of Epileptic Seizure Using STFT and Statistical Analysis
Detection of Epileptic Seizure Using STFT and Statistical Analysis Open
In this study, EEG data from two volunteer individuals, a healthy individual and a patient with epilepsy, were investigated with two different methods in order to distinguish healthy and patient individuals from each other. The data were o…
View article: A thermal quantum classifier
A thermal quantum classifier Open
We find that the additivity of quantum information channels enables one to introduce a quantum classifier or a quantum decision maker. Proper measurement and sensing of temperature are of central importance to the realization of nanoscale …
View article: Time-Frequency Analysis of Partial Discharge Current Pulses in Different Gas Environment under Lightning Impulse
Time-Frequency Analysis of Partial Discharge Current Pulses in Different Gas Environment under Lightning Impulse Open
This paper deals with a time-frequency analysis of the measured partial discharge (PD) currents in different insulation gases. These gas environments consist of a pure SF 6 (sulphur-hexafluoride) and sulphur-hexafluoride and nitrogen (1 % …
View article: Noise identification based on spectral analysis and noisy transfer function approach for fuel cells
Noise identification based on spectral analysis and noisy transfer function approach for fuel cells Open
In this study, some measurements like the current, voltage and hydrogen flow based on the fuel cell are investigated in spectral-domain as well as their time-domain representations and then, their spectral properties are extracted. Besides…
View article: Measurement of Power Line Sagging Using Sensor Data of a Power Line Inspection Robot
Measurement of Power Line Sagging Using Sensor Data of a Power Line Inspection Robot Open
The operation of energy transmission lines with high efficiency without failure has great importance in today's electricity-dependent world. Problems that may occur in electricity transmission lines are failure cause of many operations not…
View article: Analysis of instantaneous frequency, instantaneous amplitude and phase angle of ferroresonance in electrical power networks
Analysis of instantaneous frequency, instantaneous amplitude and phase angle of ferroresonance in electrical power networks Open
Ferroresonance is a nonlinear phenomenon that damages the undesired, destructive system for energy transmission lines. The formation and development of this overvoltage ferroresonance phenomenon is an important research topic as a mysterio…
View article: ROSETLineBot: One-Wheel-Drive Low-Cost Power Line Inspection Robot\n Design and Control
ROSETLineBot: One-Wheel-Drive Low-Cost Power Line Inspection Robot\n Design and Control Open
Continuous operation of the electrical transmission lines is of great\nimportance for today's electricity-dependent world. It is crucial to detect and\ndiagnose a possible problem on the lines before that occurs. In general,\nmaintenance, …
View article: ROSETLineBot: One-Wheel-Drive Low-Cost Power Line Inspection Robot Design and Control
ROSETLineBot: One-Wheel-Drive Low-Cost Power Line Inspection Robot Design and Control Open
Continuous operation of the electrical transmission lines is of great importance for today's electricity-dependent world. It is crucial to detect and diagnose a possible problem on the lines before that occurs. In general, maintenance, rep…
View article: Evolution of entanglement in quantum neural network
Evolution of entanglement in quantum neural network Open
This study concerns with the evolution of entanglement in a quantum neural network (QNN) model that is locally in contact with data environments. As a valuable resource, duration of entanglement in quantum systems is extremely important. T…
View article: An Improved Empirical Mode Decomposition Method Using Variable Window Median Filter for Early Fault Detection in Electric Motors
An Improved Empirical Mode Decomposition Method Using Variable Window Median Filter for Early Fault Detection in Electric Motors Open
This paper proposes an improved Empirical Mode Decomposition (EMD) method by using variable window size median filters during the Intrinsic Mode Functions (IMFs) generation. Compared to the traditional EMD, the improved EMD, namely, Median…
View article: PHYSICAL LIMITS FOR SELF-CONTAINED SYSTEMS: AN EXAMPLE OF THE HUMAN BRAIN AS A COGNITIVE SYSTEM
PHYSICAL LIMITS FOR SELF-CONTAINED SYSTEMS: AN EXAMPLE OF THE HUMAN BRAIN AS A COGNITIVE SYSTEM Open
This study presents the calculation of informationrate using the Bremermann’s limit for human-brain. In this manner, the informationrate of the brain can be approximately calculated. This is the physical limitof the natural system as an ex…
View article: Entropy model for optimal coordination in high‐voltage dielectric systems
Entropy model for optimal coordination in high‐voltage dielectric systems Open
This study describes the use of entropy model for some systems used in the dielectric technique. In this manner, the changes considered in the breakdown voltage are similar to those described by the probability entropy formula. This is par…
View article: Quantum neural networks driven by information reservoir
Quantum neural networks driven by information reservoir Open
This study concerns with the dynamics of a quantum neural network unit in order to examine the suitability of simple neural computing tasks. More specifically, we examine the dynamics of an interacting spin model chosen as a candidate of a…
View article: Fast fourier transformation of welding machines and their classifica-tion with acoustic method
Fast fourier transformation of welding machines and their classifica-tion with acoustic method Open
In this study, a method that determines the welding machine types using acoustic method and Fast Fourier Transformation (FFT) and Artificial Neural Networks (ANN) has been suggested. FFT was used in order to bring out the characteristics o…
View article: A logarithmic spectral approach to ferroresonance phenomena
A logarithmic spectral approach to ferroresonance phenomena Open
In this study, modelling of Oymapinar transmission lions of the West Anatolian PowerSystem region in Turkey is considered.For the modelling, the Matlab-Simulink is used and the ferroresonance phenomena is applied with a switching operation…