Artificial intelligence (AI) in engineering and technology
Saifullah Khalid
Civil Aviation Research Organization, AAI, Amritsar 143101, India
DOI: https://doi.org/10.59429/ifr.v1i1.127
Keywords: Artificial intelligence; Soft computing; Machine learning; Optimization; ANN; Fuzzy logic control; Adaptive mosquito blood search algorithm
Abstract
From traditional civil engineering and aerospace engineering to large portions of electrical, electronics, and computer engineering, and most importantly, the medical and clinical sciences, artificial intelligence (AI) is one of the most critical and useful tools for research. The human brain’s ability to interpret sensory data, solve issues, learn from past experiences and tests, store and retrieve data, etc., is where the current discipline starts. In particular, the power sector is on the cusp of inevitable change as a result of numerous restructuring efforts, and the power science community requires artificial intelligence resources for effective planning, operation, and control of the power system. Almost every AI method is logically conceived of as an optimization or decision-making problem. Power utilities can benefit from these AI methods because they provide novel approaches to efficient evaluation, effective management, and astute decision-making. We have learned more about the design process and created higher-quality goods and artifacts thanks in large part to the widespread use of AI techniques and approaches over the past few decades. When these disciplines work together, they produce cutting-edge architectures that can solve a wider range of design problems at once.
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