Amanote Research

Amanote Research

    RegisterSign In

Early‐Time, Multi‐Component Mobile TEM for Deep Metal Detection

doi 10.4133/1.2927076
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2002

Authors
Norman R. CarlsonKenneth L. Zonge
Publisher

Environment and Engineering Geophysical Society


Related search

A Deep Neural Network for Real-Time Driver Drowsiness Detection

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2019English

5G Terminals With Multi-Streaming Features for Real-Time Mobile Broadband Applications

Radioengineering
Electronic EngineeringElectrical
2017English

Real-Time Pedestrian Detection With Deep Network Cascades

2015English

Multi-Electrode Samples for TEM Studies of Corrosion

Microscopy and Microanalysis
Instrumentation
2002English

Real-Time Detection and Single-Pass Minimization of TEM Objective Lens Astigmatism

Journal of Structural Biology
Structural Biology
2017English

Consumer Acceptance of Patient-Performed Mobile Teledermoscopy for the Early Detection of Melanoma

British Journal of Dermatology
DermatologyMedicine
2016English

Multi-Target Detection in CCTV Footage for Tracking Applications Using Deep Learning Techniques

2016English

Performance Analysis of Independent Component Analysis Algorithms for Multi-User Detection of DS-CDMA

International Journal of Computer Applications
2012English

Dissipative Hydrodynamics for Multi-Component Systems

European Physical Journal A
High Energy PhysicsNuclear
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy