Awareness of Wrong-Lane Accident Detection using Random Forest Compared with SVM Algorithm with Increased Accuracy
نویسندگان
چکیده
منابع مشابه
detection of volatile compounds of medicinal plants with some nano-sorbents using modified or new methodologies and investigation of antioxidant activity of their methanolic extracts
in this work, a novel and fast method for direct analysis of volatile compounds (davc) of medicinal plants has been developed by holding a filament from different parts of a plant in the gc injection port. the extraction and analysis of volatile components of a small amount of plant were carried out in one-step without any sample preparation. after optimization of temperature, extraction time a...
Diagnosis of Diabetes Using a Random Forest Algorithm
Background: Diabetes is the fourth leading cause of death in the world. And because so many people around the world have the disease, or are at risk for it, diabetes can be called the disease of the century. Diabetes has devastating effects on the health of people in the community and if diagnosed late, it can cause irreparable damage to vision, kidneys, heart, arteries and so on. Therefore, it...
متن کاملThe Accuracy of Ultrasonography in Compared with Computed Tomography in Detection of Anterior Mediastinal Neoplasms
Abstract Background The aim of this study was to evaluate sensitivity and specificity of mediastinal sonography, and compared with CT, in detection of anterior mediastinal neoplasms. Materials and Methods The sonography with convex probes (5.0 and 7.5 MHz) was done prospectively for 34 patients (from 2 to 25 years old) with mediastinal mass. The results were compared with the results of ...
متن کاملWrong Roadway Detection for Multi-lane Roads
The paper contributes to the detection of driving on the wrong side of the road by addressing in particular multi-lane road situations. We suggest a solution using video data of a single camera only for identifying the current lane of the ego-vehicle. GPS data are used for knowing defined constraints on driving directions for the current road.
متن کاملSurvival of Dialysis Patients Using Random Survival Forest Model in Low-Dimensional Data with Few-Events
Background:Dialysis is a process for eliminating extra uremic fluids of patients with chronic renal failure. The present study aimed to determine the variables that influence the survival of dialysis patients using random survival forest model (RSFM) in low-dimensional data with low events per variable (EPV). Methods:In this historical cohort study, infor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Pharmaceutical Negative Results
سال: 2022
ISSN: ['0976-9234', '2229-7723']
DOI: https://doi.org/10.47750/pnr.2022.13.s04.084