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Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
News-Medical.Net

Integrated Monte Carlo and deep learning improve radiotherapy QA

Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...
Ecommerce Fastlane

What Are AI Algorithms? Types of AI Algorithms + Use Cases

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
IEEE

Distributed Unsupervised Representation Learning for Remote Sensing Image Classification

Abstract: With the development of in-orbit satellite hardware technology, distributed model training and updating for in-orbit satellites has become a promising trend. However, performance ...
IEEE

Unsupervised Gaze Representation Learning by Switching Features

Abstract: It is prevalent to leverage unlabeled data to train deep learning models when it is difficult to collect large-scale annotated datasets. However, for 3D gaze estimation, most existing ...
The Lancet

Early detection of sexually transmitted infections from skin lesions with deep learning: a systematic review and meta-analysis

aDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Special Administrative Region, China ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Frontiers

Integrating pathomics and deep learning for subtyping uveal melanoma: identifying high-risk immune infiltration profiles

Purpose: Uveal melanoma (UVM) is the most common primary intraocular malignancy in adults, characterized by high mortality despite its relatively low incidence. This study aimed to utilize ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...