Applications of artificial intelligence in engineering and manufacturing: a systematic review

IK Nti, AF Adekoya, BA Weyori… - Journal of Intelligent …, 2022 - Springer
Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction

M Toufikuzzaman, MA Hassan Samee… - Briefings in …, 2024 - academic.oup.com
CRISPR Cas-9 is a groundbreaking genome-editing tool that harnesses bacterial defense
systems to alter DNA sequences accurately. This innovative technology holds vast promise …

Measuring performance metrics of machine learning algorithms for detecting and classifying transposable elements

S Orozco-Arias, JS Piña, R Tabares-Soto… - Processes, 2020 - mdpi.com
Because of the promising results obtained by machine learning (ML) approaches in several
fields, every day is more common, the utilization of ML to solve problems in bioinformatics. In …

[图书][B] Bioinformatics Tools for Pharmaceutical Drug Product Development

VP Chavda, K Anand, V Apostolopoulos - 2023 - books.google.com
BIOINFORMATICS TOOLS FOR Pharmaceutical DRUG PRODUCT DLEVELOPMENT A
timely book that details bioinformatics tools, artificial intelligence, machine learning …

Future Prospects and Challenges in the Implementation of AI and ML in Pharma Sector

P Pokhriyal, VP Chavda… - Bioinformatics tools for …, 2023 - Wiley Online Library
Drug manufacture is among the most significant businesses on the planet. For long, this
business has been a key productive member of society, and it will remain to be for several …

Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning

S Orozco-Arias, MS Candamil-Cortes… - Journal of Integrative …, 2022 - degruyter.com
Transposable elements are mobile sequences that can move and insert themselves into
chromosomes, activating under internal or external stimuli, giving the organism the ability to …

Machine learning, deep learning and image processing for healthcare: A crux for detection and prediction of disease

C Chhabra, M Sharma - Proceedings of Data Analytics and Management …, 2022 - Springer
Abstract Machine learning has rapidly gained traction in a variety of fields, including science,
healthcare, engineering, and biotechnology, in recent years owing to its effective functioning …

Role of machine learning in weather related event predictions for a smart city

MA Umer, MT Jilani, KN Junejo, SA Naz… - Machine Intelligence and …, 2021 - Springer
Weather related event prediction is always a fascinating problem for scientists due to its
importance in different sectors of life. This chapter has used machine learning algorithms to …

The Role of AI, Fuzzy Logic System in Computational Biology and Bioinformatics

AHMS Parvez, S Iqbal, S Bharati… - Data Science for …, 2022 - taylorfrancis.com
The requirement for bioinformatics is not questionable, while COVID-19 is knocking our door
at this time. It is only a matter of time that with the help of bioinformatics, a better vaccine can …

New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations

RM Barbosa, CC Lima, FF Oliveira, GBM Câmara… - …, 2022 - mdpi.com
Nano-hybrid systems are products of interactions between organic and inorganic materials
designed and planned to develop drug delivery platforms that can be self-assembled …