Search for tag: "classification"

2 Media

05:24 Defects Detection and Classification on Metallic… Defects Detection and Classification on Metallic Surfaces	Defects Detection and Classification on Metallic Surfaces Inspecting metallic parts is a challenging task and is in demand in various manufacturing quality control applications. Computer Visions (CV), Machine Learning (ML) and Deep Learning (DL) are… defects model marks surfaces process detection belt image dance inspection arm classification object option conveyor camera components factions operation confidence From James McGlade 0 likes 11 plays 0 Usage Academic Research
$Thumbnail for entry 2020 FEB 21 Seeing the forest for the trees: random forests and predicting fracking$ 01:10:04 2020 FEB 21 Seeing the forest for the trees:… 2020 FEB 21 Seeing the forest for the trees: random forests and predicting fracking	2020 FEB 21 Seeing the forest for the trees: random forests and predicting fracking Kimberly Roth, Juniata College bacteria tree things trees classification lot thing model error forest variables rain problem chance fracking dots hm validation numbers predictors From Microbiome Center_admin 0 likes 6 plays

05:24

Defects Detection and Classification on Metallic…

Defects Detection and Classification on Metallic Surfaces

Inspecting metallic parts is a challenging task and is in demand in various manufacturing quality control applications. Computer Visions (CV), Machine Learning (ML) and Deep Learning (DL) are…

From James McGlade 0 likes 11 plays 0

Usage

Academic Research

$Thumbnail for entry 2020 FEB 21 Seeing the forest for the trees: random forests and predicting fracking$

01:10:04

2020 FEB 21 Seeing the forest for the trees:…

2020 FEB 21 Seeing the forest for the trees: random forests and predicting fracking

Kimberly Roth, Juniata College

From Microbiome Center_admin 0 likes 6 plays

This publication is available in alternative media on request. Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.