[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
Artificial intelligence in colorectal cancer surgery: present and future perspectives
Simple Summary Computer vision (CV) is a field of artificial intelligence (AI) that deals with
the automatic analysis of videos and images. Recent advances in AI and CV methods …
the automatic analysis of videos and images. Recent advances in AI and CV methods …
Battle royale optimizer for training multi-layer perceptron
Artificial neural network (ANN) is one of the most successful tools in machine learning. The
success of ANN mostly depends on its architecture and learning procedure. Multi-layer …
success of ANN mostly depends on its architecture and learning procedure. Multi-layer …
Artificial Intelligence in Surgery
Modern surgery is a highly effective sociotechnical process susceptible to errors. Surgical
data science is a novel transdisciplinary research field aiming at improving surgical care …
data science is a novel transdisciplinary research field aiming at improving surgical care …
Ocean Modeling Analysis and Modeling Based on Deep Learning
MH Niu, JH Cho - Mobile Information Systems, 2022 - Wiley Online Library
The ocean comprises an uninterrupted body of salt water confined within a vast basin on the
earth's surface. The ocean is the largest ecosystem on earth with rich and diverse biological …
earth's surface. The ocean is the largest ecosystem on earth with rich and diverse biological …
Surgical Phase Recognition Using Videos: Deep Neural Network Approach
V Bansod, A Ambhaikar - … of Research on Artificial Intelligence and …, 2024 - taylorfrancis.com
Phase recognition has been studied in several surgical contexts, including cataracts,
neurological, laparoscopic surgery, and using endoscopic video. In surgical phase …
neurological, laparoscopic surgery, and using endoscopic video. In surgical phase …
[PDF][PDF] The challenges of deep learning in artificial intelligence and autonomous actions in surgery
Aim: Artificial intelligence (AI) is rapidly evolving in healthcare worldwide, especially in
surgery. This article reviews important terms used in machine learning and the challenges of …
surgery. This article reviews important terms used in machine learning and the challenges of …
Forecasting stock indices using machine learning methods
SA Sargisovic - 2021 - dspace.spbu.ru
In the final qualifying work, 2 approaches of solving the problem of forecasting stock index
changes are considered: autoregressive and neural network. The forecasting problem was …
changes are considered: autoregressive and neural network. The forecasting problem was …
Aprendizado por reforço com aproximadores não lineares aplicados a jogos eletrônicos
LH Cano - 2019 - pantheon.ufrj.br
A Inteligência Artificial tem se tornado cada vez mais importante no mundo atual e o
Aprendizado por Reforço tem ocupado uma área de destaque. No entanto, ainda há …
Aprendizado por Reforço tem ocupado uma área de destaque. No entanto, ainda há …