The gearbox is one of the key components many large mechanical transmission devices. Due to complex working environment, vibration signal stability gear box poor, fault feature extraction difficult, and diagnosis accuracy makes it difficult meet expected requirements. To solve this problem, paper proposes a method based on an optimized stacked denoising auto encoder (SDAE) kernel extreme learni...

In this study, we present the investigations being pursued in our research laboratory on magnetic resonance images (MRI) of various states of brain by extracting the most significant features, and to classify them into normal and abnormal brain images. We propose a novel method based on deep and extreme machine learning on wavelet transform to initially decompose the images, and then use variou...

This paper introduces new learning to the prediction model enhance algorithms’ performance in dynamic circumstances. We have proposed a novel technique based on alpha-beta filter and deep extreme machine (DELM) algorithm named as filter. The method has two main components, namely unit unit. used unit, uses DELM. problem with conventional is that values are generally selected via trial-and-error...

It is often the case that a human can determine the genre of a movie by looking at its movie poster. This task is not trivial for computers. A recent advance in machine learning called deep learning allows algorithms to learn important features from large datasets. Rather than analyzing an image pixel by pixel, for example, higher level features can be used for classification. In this project I...

The outbreak of coronavirus disease 2019 (COVID-19) has had a tremendous effect on daily life and great impact the economy world. More than 200 countries have been affected. diagnosis is major challenge for medical experts. Early detection one most effective ways to reduce mortality rate increase chance successful treatment. At this point in time, no antiviral drugs approved use, clinically vac...

Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented in this paper. Vibration sensor signals collected from rotating mechanical systems are represente...

Traditional approach in artificial intelligence (AI) have been solving the problem that is difficult for human but relatively easy for computer if it could be formulated as mathematical rules or formal languages. However, their symbol, rule-based approach failed in the problem where human being solves intuitively like image recognition, natural language understanding and speech recognition. The...

In Bioinformatics, Protein Secondary Structure Prediction (PSSP) has been considered as one of the main challenging tasks in this field. Today, secondary structure protein prediction approaches have been categorized into three groups (Neighbor-based, model-based, and meta predicator-based model). The main purpose of the model-based approaches is to detect the protein sequence-structure by utili...