Applications of computer networks are: information exchange, military, music and video on demand, etc.
Globally organized companies need computer network for providing
communication between employees, email, video conferencing, instant messaging, streaming stored video clips, ect.
Local area networks use short-haul applications
There are increasingly apparent limitations of Bayesian Networks. For real-world applications, they are not expressive enough. Bayesian networks have the problem that involves the same fixed number of attributes.
pownage?
Unix
Recent popular applications of artificial neural networks include image and speech recognition, autonomous driving technology, natural language processing for chatbots and virtual assistants, and healthcare applications such as medical image analysis and personalized medicine. These applications leverage the ability of neural networks to learn and make predictions based on large amounts of data.
Yves Feghali is a consultant engineer running biomedical applications networks in Lebanon and Syria.
Deborah Shmueli has written: 'Applications of neural networks in transportation planning'
Short-haul customers include universities, institutions, corporations, hotel chains, hospitals, local area networks, cellular phone networks, and local governments
Susanto Rahardja has written: 'Multimedia systems and applications X' -- subject(s): Multimedia systems, Security measures, Computer networks, Congresses 'Multimedia systems and applications X' -- subject(s): Multimedia systems, Security measures, Computer networks, Congresses
Three common tools used in information technology are computers, software applications, and networks. Computers are the hardware used to process and store data, software applications provide functionality for various tasks, and networks allow for communication and data exchange between devices.
Neural networks are used in machine learning applications to mimic the way the human brain processes information. They are composed of interconnected nodes that work together to analyze and learn from data, making them capable of recognizing patterns and making predictions. This allows neural networks to be used in tasks such as image and speech recognition, natural language processing, and autonomous driving.
NetBIOS