With the exponential increase in the usage of the internet, numerous organisations,
including the financial industry, have operationalized online services. The massive financial …

Early identification of diabetics using retinopathy images is still a difficult challenge. Many
illness diagnosis techniques are accomplished by using the blood vessels present in fundus …

One of the most common applications of deep learning algorithms is sentiment analysis.
This study delivers a better performing and efficient automated feature extraction technique …

Renewable energy sources are gaining a significant research attention due to their
economical and sustainable characteristics. In particular, solar power stations are …

One of the many challenges that the world faces is traffic hazard. The major cause of this
traffic risk is the presence of a huge number of vehicles on the road. As a result, it generates …

The proliferation of the internet of things (IoT) technology has led to numerous challenges in
various life domains, such as healthcare, smart systems, and mission-critical applications …

The concept of interconnecting smart vehicles and advancements in automotive automation
leads to beneficial outcomes, such as a reduction in road fatalities and congestion …

Transformers are one of the primary device required for an AC (Alternating Current)
distribution system which works on the principle of mutual induction without any rotating …

In general, several conservative techniques are available for detecting cracks in concrete
bridges but they have significant limitations, including low accuracy and efficiency. Due to …

For networks with limited resources, such as IoT-enabled smart homes, smart industrial
equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy …