New H-Bridge for Symmetrical and Asymmetrical MLI with Reduced Number of Devices

Debela, Tamiru; Phukan, Hillol; Singh, Jiwanjot

doi:10.1007/978-981-15-7031-5_83

Lecture Notes in Electrical Engineering

2020

DOI: 10.1007/978-981-15-7031-5_83

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New H-Bridge for Symmetrical and Asymmetrical MLI with Reduced Number of Devices

Tamiru Debela

Hillol Phukan

Jiwanjot Singh

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Industrial 4.0 Adaptation and Challenges in Pattern Recognition, Computer Vision, and IoT

Buttar,

Arshad

2023

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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A computer's vision models the human's abilities to see and comprehend the environment. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects. Pattern recognition and Industry 4.0 have enhanced production automation, precision, efficiency, cost savings, and the ability to evaluate massive amounts of data to make better decisions. Also using IOT devices to monitor patient health remotely. Robotics automates dangerous and repetitive tasks, speeds up production, and improves product quality in Industry. The technologies, such as blockchain and digital twins, enhance security, transparency, and efficiency in industrial operations. The emergence of these technologies has spread its horizons from e-management to healthcare, and from agriculture to the digital economy. This chapter briefly explains the adoptions of the fourth industrial revolution, which uses technology such as AI, IoT, and cyber-physical systems to create smart factories that are highly automated, data-driven and connected.

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Industrial 4.0 Adaptation and Challenges in Pattern Recognition, Computer Vision, and IoT

Buttar,

Arshad

2023

Advances in Systems Analysis, Software Engineering, and High Performance Computing

View full text Add to dashboard Cite

show abstract

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New H-Bridge for Symmetrical and Asymmetrical MLI with Reduced Number of Devices

Cited by 1 publication

References 23 publications

Industrial 4.0 Adaptation and Challenges in Pattern Recognition, Computer Vision, and IoT

Industrial 4.0 Adaptation and Challenges in Pattern Recognition, Computer Vision, and IoT

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