Nowadays, automation is at its peak. The article provides a base to examine the weather through machine without human intervention. This study offers thorough classification model forecast type. Here, facilitates defining best results for prediction any climatic zones and categorizes climate into four types: cloud, rain, shine, sunrise. designs reveals using convolution neural networks (CNN) al...

Deep learning is an idea technique for image classification. Imaging flow cytometer enables high throughput cell acquisition and some have integrated with real-time sorting. The combination of deep imaging has changed the landscape analysis research. In this review, we focus on technologies applied in classification This article describes recent research, challenges future trend area.

Reliable network traffic classification is essential to management and security tasks. Therefore, it beneficial analyze improve existing techniques. Some of the most traditional methodologies for are based on port number packet payload, each which presents an increasing set problems. Port number-based techniques suffer from misuse numbers tunneling. This primarily due their reliance proper use ...

This paper presents a study of the use flow baffles inside centrifugal air classifier. An classifier belongs to most widely used classification devices in mills mineral industry, which is why there great interest optimizing process and pressure loss. Using Computational Fluid Dynamics (CFD), profile without with systematically compared. In simulations, turbulence effects are modeled realizable ...

Despite being not an unusual place, its prognosis is extraordinarily tough due to the general nature of pores and tone, skin, hair, body parts. This paper presents a method apply diverse laptop imaginative prescient primarily based techniques (deep learning) routinely expect varieties skin diseases. The gadget makes use 3 publicly to-be-had picture reputation architectures specifically V3 Inspe...

The right and left hand Motor Imagery (MI) analysis based on the electroencephalogram (EEG) signal can directly link the central nervous system to a computer or a device. This study aims to identify a set of robust and nonlinear effective brain connectivity features quantified by transfer entropy (TE) to characterize the relationship between brain regions from EEG signals and create a hierarchi...