AIMC Topic: Random Forest

Clear Filters Showing 91 to 100 of 186 articles

Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms.

PloS one Aug 16, 2023
Accurate prediction of wave overtopping at sea defences remains central to the protection of lives, livelihoods, and infrastructural assets in coastal zones. In addressing the increased risks of rising sea levels and more frequent storm surges, robus...
Random Forest Algorithms Computer Simulation Neural Networks, Computer Machine Learning
View on PubMed DOI

Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis.

PloS one Aug 9, 2023
In the first half of 2023, text-generative artificial intelligence (AI), including ChatGPT from OpenAI, has attracted considerable attention worldwide. In this study, first, we compared Japanese stylometric features of texts generated by ChatGPT, equ...
Random Forest Humans Artificial Intelligence Writing
View on PubMed DOI

Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination.

Sensors (Basel, Switzerland) Jul 28, 2023
Handwritten Arabic character recognition has received increasing research interest in recent years. However, as of yet, the majority of the existing handwriting recognition systems have only focused on adult handwriting. In contrast, there have not b...
Humans Neural Networks, Computer Random Forest Child Adult Handwriting Support Vector Machine Deep Learning
View on PubMed DOI

Prediction of gastrointestinal functional state based on myoelectric recordings utilizing a deep neural network architecture.

PloS one Jul 27, 2023
Functional and motility-related gastrointestinal (GI) disorders affect nearly 40% percent of the population. Disturbances of GI myoelectric activity have been proposed to play a significant role in these disorders. A significant barrier to usage of t...
Animals Random Forest Neural Networks, Computer Gastrointestinal Tract Ferrets
View on PubMed DOI

Packets-to-Prediction: An Unobtrusive Mechanism for Identifying Coarse-Grained Sleep Patterns with WiFi MAC Layer Traffic.

Sensors (Basel, Switzerland) Jul 24, 2023
A good night's sleep is of the utmost importance for the seamless execution of our cognitive capabilities. Unfortunately, the research shows that one-third of the US adult population is severely sleep deprived. With college students as our focused gr...
Humans Neural Networks, Computer Focus Groups Cluster Analysis Random Forest Machine Learning Adult
View on PubMed DOI

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.

JMIR public health and surveillance Jul 12, 2023
BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency department (ED) diagnoses are a useful source of information for injury epidemiological surveillance purposes. However, ED data collection systems often use f...
Child Emergency Service, Hospital Random Forest Data Mining Algorithms Child, Preschool Humans Machine Learning
View on PubMed DOI

Deep learning model for predicting the survival of patients with primary gastrointestinal lymphoma based on the SEER database and a multicentre external validation cohort.

Journal of cancer research and clinical oncology Jul 10, 2023
PURPOSE: Due to the rarity of primary gastrointestinal lymphoma (PGIL), the prognostic factors and optimal management of PGIL have not been clearly defined. We aimed to establish prognostic models using a deep learning algorithm for survival predicti...
Female Aged Humans Prognosis Deep Learning Logistic Models Lymphoma Male Middle Aged Proportional Hazards Models SEER Program Survival Analysis Random Forest Gastrointestinal Neoplasms
View on PubMed DOI

Synergistic Integration of Skeletal Kinematic Features for Vision-Based Fall Detection.

Sensors (Basel, Switzerland) Jul 10, 2023
According to the World Health Organisation, falling is a major health problem with potentially fatal implications. Each year, thousands of people die as a result of falls, with seniors making up 80% of these fatalities. The automatic detection of fal...
Humans Biomechanical Phenomena Random Forest Machine Learning
View on PubMed DOI

Evaluating the ecological vulnerability of Chongqing using deep learning.

Environmental science and pollution research international Jul 5, 2023
This study used deep learning to evaluate the ecological vulnerability of Chongqing, China, discuss the deep learning evaluations of ecological vulnerability, and generate vulnerability maps that support local ecological environment protection and go...
Random Forest China Cities Humans Neural Networks, Computer Deep Learning
View on PubMed DOI

HRFSVM: identification of fish disease using hybrid Random Forest and Support Vector Machine.

Environmental monitoring and assessment Jul 5, 2023
Aquaculture fish diseases pose a serious threat to the security of food supplies. Fish species vary widely, and because they resemble one another so much, it is challenging to distinguish between them based solely on appearance. To stop the spread of...
Machine Learning Environmental Monitoring Algorithms Support Vector Machine Animals Random Forest
View on PubMed DOI
Popular Topics
Recent Journals