Engineering Applications of Artificial Intelligence: Elsevier
The use of engineering applications of artificial intelligence (AI) is becoming more prevalent in the field of mechanical engineering. With the help of various machine learning methodologies and deep learning algorithms, AI techniques are being utilized for engineering design optimization and automation. Elsevier, a renowned publisher, has been at the forefront of promoting research in this area through their special issues and articles published on sciencedirect.com. The impact factor of their journals, along with the rapid publication process and open access policy, has made their platform a popular choice for researchers in the field.
Researchers are constantly exploring new applications of AI in engineering, and the use of artificial neural networks and sensor data for dataset analysis and optimization is gaining traction. The role of AI in the fourth industrial revolution cannot be understated, as it is transforming the way machine learning models are being used in various branches of engineering. The number of citations for papers discussing AI in engineering has been steadily increasing, indicating the growing interest in this field.
What is the impact factor of AI in engineering?
The impact factor of AI in engineering is immense. By incorporating AI algorithms and techniques, engineers can achieve higher levels of precision, speed, and automation in their workflows. This leads to improved productivity, reduced errors, and ultimately, enhanced outcomes for engineering projects.