Rotating machine faults are unavoidable; thus, early diagnosis is essential to avoid further
damage to the machine or other machine attached to it. Various signal analysis based …

Deep learning can play a pivotal role in early fault detection in squirrel cage induction
motors (SCIMs) and achieving Industry 4.0. SCIM finds application in industries like mining …

With increasing customer demand, industry 4.0 gained a lot of interest, which is based on
smart factories. In smart factories, robotic components are vulnerable to failure due to …

Background: Open Access Proceeding Paper New Transfer Learning Approach Based on a
CNN for Fault Diagnosis† by Alasmer Ibrahim 1,*, Fatih Anayi 1 and Michael Packianather 2 …

The condition monitoring of squirrel cage induction motors (SCIMs) is vital for uninterrupted
production and minimum downtime. Early fault detection can boost output with minimum …

Induction motor (IM) plays a significant role in the production sectors, owing to its high
durability, rugged nature, high efficiency and low cost. Electrical motor condition monitoring …

Software defect prediction gives development teams observable results while influencing
business outcomes and development flaws. Developers can uncover flaws and plan test …

Using BERT and TensorFlow in analyzing product reviews is important in understanding
customer sentiment. After careful fine-tuning with a large dataset of reviews, BERT becomes …

The task of music generation is complex and demanding, necessitating the understanding
and modeling intricate musical patterns and structures. RNNs have been demonstrated to …

Crime is a dangerous and global social issue. Crimes influence a nation's economy,
reputation, and quality of life. Innovative technology and novel approaches to crime analytics …