A segmentation process is usually required in order to analyze an image. One of the
available segmentation approaches is by detecting the edges on the image. Up to now …

The purpose of the study is to examine the integration of AI into the metaverse for exploring
the potential benefits and issues in the hospitality and tourism industry. The study highlights …

Edge identification in a digital image is overgrowing in line with advances in computer
technology for image processing. Edge detection becomes vital in recognizing the object of …

The goal of this investigation is to explain the conceptualization, production, & evaluation of
just one axis internet-connected sunlight surveillance systems. The detection model …

Unmanned airborne vehicles (UAVs) have shown enormous possible throughout recent
years in conveying the expense and time-successful answers for the different social …

Hyperparameter tuning is a crucial step in the process of building accurate machine learning
models. Finding the optimal combination of hyperparameters can be challenging, especially …

Demand forecasting is a critical component of the performance of supply chain management
for e-commerce businesses. Traditional approaches to statistics may not be practical for …

The most common way of finding and growing new meds is extensive, tangled, and
exceptionally factor. For issues with clear details and enough of excellent information, the …

Convolutional neural networks (CNNs) have had remarkable success in classifying a variety
of plant diseases through deep learning. However, just a few researches have shed light on …

Few years back, we couldn't even imagine an object like wireless extended reality (XR). A
Brol-Iy (umbrella) term that covers augmented, reality, mixed reality, and virtual reality. Time …