Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help clinicians to provide accurate treatment for patients. The electroencephalogram (EEG) signals widely used epileptic detection, which provides specialists with substantial information about functioning brain. In this paper, a novel diagnostic procedure using fuzzy theory deep learning techn...

Microgrid as the main building block for future smart grids is prone to instability originated from converter-based distributed generations (DG). Herein, we first analyze small-signal stability of an inverter-interfaced microgrid. Afterwards, a novel adaptive network fuzzy inference system (ANFIS)-based optimization method introduced which aims at online tuning virtual inductances (VI) in islan...

Synthetic Aperture Radar (SAR) is playing a vital role in taking extremely high resolution radar images. It is greatly used to monitor the ice covered ocean regions. Sea monitoring is important for various purposes which includes global climate systems and ship navigation. Classification on the ice infested area gives important features which will be further useful for various monitoring proces...

In the past few decades, both academicians and industries have shown interest toward agricultural post-harvest operation aiming to reduce losses. order assist farmers in decision-making some effective innovative methodological frameworks are required. The fruit weight measurement is of prime importance many food processing during sorting, grading, packaging. this work, different Support vector ...

The objective of this paper is to develop an enhanced metaheuristic algorithm train ANFIS on solving nonlinear regression problems. Firstly, we improved the sparrow search and then proposed a simplified (SSSA). Secondly, SSSA was hence employed parameters initial raw structure for problem. In order evaluate performance tuning (Adaptive neuro fuzzy inference system) ANFIS, use PSO, (gray wolf op...

Predicting the mechanical strength of structural elements is a crucial task for efficient design buildings. Considering shortcomings experimental and empirical approaches, there growing interest in using artificial intelligence techniques to develop data-driven tools this purpose. In research, empowered machine learning was employed analyze axial compression capacity (CC) circular concrete-fill...

Wastewater treatment is necessary to preserve the environment and living organisms. COD (Chemical Oxygen Demand) measures the amount of oxygen consumed by the water in the decomposition of organic matter and oxidation of inorganic matter and chemicals. Predicting effluents in the water is a time consuming process. The proposed method uses anaerobic treatment process to utilize anaerobic bacteri...

Photovoltaic-thermal (PVT) technologies have demonstrated several attractive features, such as higher power and comparative efficiencies. Improving the thermal recovery from PVT system would further improve output efficiency of system. This paper identifies best operating factors nanofluid-based PV thermal/nano-enhanced phase change material using artificial intelligence. The target is maximiza...