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Conventional education systems have a standardized teaching methodology which fails to serve the needs of the different students when it comes to their unique learning requirements. The disparities in the level of understanding, previous knowledge, and the speed at which the learner perceives are usually ignored, and they may lead to diminished interest and...

-Joining dissimilar pure copper (Cu) and magnesium (Mg) alloy AZ31B through friction stir welding (FSW) presents considerable metallurgical challenges due to contrasting thermo physical properties and brittle intermetallic compound formation at the weld interface. This study examines FSW of Cu/Mg AZ31B butt joints using a tool rotational speed of 1070 rpm, w...

  The purpose of the review paper is to review the use of the IoT-based real-time health monitoring systems and CNN -LSTM deep learning models to detect diseases in their early stages. We have the intention to explore how the IoT technologies and hybrid deep-learning structures can be useful in improving the continuous patient monitoring and predictive healt...

this study proposes an innovative solution for an automated system that will allow the contactless charging of electric vehicles with enhanced safety and control. The system integrates solar energy with battery backup (hybrid energy) that will supply continuous charging to the vehicle. The system is controlled by an Adriano that ensures the seamless switchin...

Artificial intelligence (AI) has recently gained prominence in healthcare. It is increasingly applied in disease detection and clinical decision-making. Although the results generated by such applications are highly accurate, many of them exhibit limited transparency. Most often, they operate as a "black box," i.e., while their output invisible, no clear exp...

Parkinson's disease (PD) is a neurological movement disorder characterized by a slow, progressive worsening of symptoms, such as a tremor in one hand and a generalized sense of stiffness. More than 6 million individuals throughout the globe are afflicted. In the early stages of the illness, when symptoms are hard to identify, there is currently no convincing...

Stock market prediction has emerged as one of the most challenging and important research areas in finance and artificial intelligence. Accurate prediction of stock prices enables investors, financial institutions, and policymakers to make informed investment decisions and manage financial risks effectively. Traditional statistical forecasting models have sh...