Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery
Drug development is expensive, time-consuming, and has a high failure rate. In recent
years, artificial intelligence (AI) has emerged as a transformative tool in drug discovery …
years, artificial intelligence (AI) has emerged as a transformative tool in drug discovery …
Pygad: An intuitive genetic algorithm python library
AF Gad - Multimedia tools and applications, 2023 - Springer
This paper introduces PyGAD, an open-source easy-to-use Python library for building the
genetic algorithm (GA) and solving multi-objective optimization problems. PyGAD is …
genetic algorithm (GA) and solving multi-objective optimization problems. PyGAD is …
[HTML][HTML] Artificial intelligence in genetics
RS Vilhekar, A Rawekar - Cureus, 2024 - ncbi.nlm.nih.gov
The simulation of human intelligence in robots that are designed to think and learn like
humans is known as artificial intelligence (AI). AI is creating a world that has never been …
humans is known as artificial intelligence (AI). AI is creating a world that has never been …
A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues
SA Edalatpanah, FS Hassani, F Smarandache… - … applications of artificial …, 2024 - Elsevier
Rising market demands, economic pressures, and technological advancements have
spurred researchers to seek ways to enhance business environments and scientific …
spurred researchers to seek ways to enhance business environments and scientific …
Explainability of neural network clustering in interpreting the COVID-19 emergency data
Among other hospitalization causes and cases, the clinical emergency is a critical case and
the data of the reporting patients are biased as well as poorly managed due to the chaotic …
the data of the reporting patients are biased as well as poorly managed due to the chaotic …
[HTML][HTML] Piecewise differentiation of the fractional order CAR-T cells-SARS-2 virus model
The pandemic caused by the SARS-CoV2 virus has prompted research into new therapeutic
solutions that can be used to treat the CoVid-19 syndrome. As part of this research …
solutions that can be used to treat the CoVid-19 syndrome. As part of this research …
[HTML][HTML] A novel flexible feature extraction algorithm for Spanish tweet sentiment analysis based on the context of words
A tweet polarity classifier is presented with four categories: positive, neutral, negative and no
opinion. A grouping genetic algorithm performs feature extraction on the reviews. The …
opinion. A grouping genetic algorithm performs feature extraction on the reviews. The …
[HTML][HTML] Optimizing additive manufacturing path pattern for Ti-6Al-4V thin rods using a combinatorial radial basis function surrogate-assisted genetic algorithm
R Bai, G Liang, H Cheng, H Naceur, D Coutellier… - Materials & Design, 2023 - Elsevier
Path pattern is one of the most significant parameters in the additive manufacturing (AM)
process because it influences the specimen's final shape and residual stress distribution …
process because it influences the specimen's final shape and residual stress distribution …
ARTIFICIAL INTELLIGENCE AND STOCHASTIC OPTIMIZATION ALGORITHMS FOR THE CHAOTIC DATASETS.
Almost every natural process is stochastic due to the basic consequences of nature's
existence and the dynamical behavior of each process that is not stationary but evolves with …
existence and the dynamical behavior of each process that is not stationary but evolves with …
[HTML][HTML] Explainable machine learning of the breast cancer staging for designing smart biomarker sensors
In medical diagnostics, smart biomarker sensors are used to detect and monitor biomarker
thresholds. Recent bariatric research has shown a connection between obesity and an …
thresholds. Recent bariatric research has shown a connection between obesity and an …