TY - CHAP
T1 - Artificial Intelligence Methods in Marine Biotechnology
AU - Kavitha, Muthu Subash
AU - Jackson, Aurelia
AU - Manikandarajan, V.
AU - Mariappan, Muralindran
AU - Paul, Anand
AU - Venmathi Maran, Balu Alagar
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Artificial Intelligence (AI) approaches allow users to apply algorithms and evaluate data and apply them in various industries, including marine biotechnol-ogy. In the field of oceanography, AI techniques are used in remote sensing, maritime transportation, data collection and management, ocean monitoring and predicting the occurrences of various oceanic phenomena. One of the subsets of AI techniques is Machine Learning (ML), and Deep Learning (DL) is a subset of ML that is inspired by the functionality of neurons, and its development has led to the concept of a computational model called the Artificial Neural Network (ANN). It has been well discussed in this chapter. Drug discovery is another untapped technique that can be developed to look into detecting and discovering the secondary metabolites of existing marine organisms. With the help of AI, knowledge gaps regarding the ocean’s resources can be overcome, and this review compiles the current uses of this intelligent technique in the marine science discipline.
AB - Artificial Intelligence (AI) approaches allow users to apply algorithms and evaluate data and apply them in various industries, including marine biotechnol-ogy. In the field of oceanography, AI techniques are used in remote sensing, maritime transportation, data collection and management, ocean monitoring and predicting the occurrences of various oceanic phenomena. One of the subsets of AI techniques is Machine Learning (ML), and Deep Learning (DL) is a subset of ML that is inspired by the functionality of neurons, and its development has led to the concept of a computational model called the Artificial Neural Network (ANN). It has been well discussed in this chapter. Drug discovery is another untapped technique that can be developed to look into detecting and discovering the secondary metabolites of existing marine organisms. With the help of AI, knowledge gaps regarding the ocean’s resources can be overcome, and this review compiles the current uses of this intelligent technique in the marine science discipline.
UR - http://www.scopus.com/inward/record.url?scp=85172094924&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-0624-6_16
DO - 10.1007/978-981-99-0624-6_16
M3 - Chapter
AN - SCOPUS:85172094924
SN - 9789819906239
SP - 339
EP - 354
BT - Marine Biotechnology
PB - Springer Nature
ER -
