UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline

Scientific reports, 2019-05, Vol.9 (1), p.7024-7024, Article 7024

2019

Volltextzugriff (PDF)

Insect Detection and Classification Based on an Improved Convolutional Neural Network

Sensors (Basel, Switzerland), 2018-11, Vol.18 (12), p.4169

2018

Volltextzugriff (PDF)

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

Sensors (Basel, Switzerland), 2020-01, Vol.20 (3), p.578

2020

Volltextzugriff (PDF)

Algorithm for wireless sensor networks in ginseng field in precision agriculture

PloS one, 2022-02, Vol.17 (2), p.e0263401-e0263401

2022

Volltextzugriff (PDF)

AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild

Sensors (Basel, Switzerland), 2021-02, Vol.21 (5), p.1601

2021

Volltextzugriff (PDF)

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1356

2019

Volltextzugriff (PDF)

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

IEEE access, 2019, Vol.7, p.45301-45312

2019

Volltextzugriff (PDF)

Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

Computers and electronics in agriculture, 2015-11, Vol.119, p.123-132

2015

Volltextzugriff (PDF)

ARFNet: adaptive receptive field network for detecting insulator self-explosion defects

Signal, image and video processing, 2022-11, Vol.16 (8), p.2211-2219

2022

Volltextzugriff (PDF)

An effective pest detection method with automatic data augmentation strategy in the agricultural field

Signal, image and video processing, 2023-03, Vol.17 (2), p.563-571

2023

Volltextzugriff (PDF)

AE-FPN: adaptive enhance feature learning for detecting wire defects

Signal, image and video processing, 2023-07, Vol.17 (5), p.2145-2155

2023

Volltextzugriff (PDF)

WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method

Frontiers in plant science, 2022-05, Vol.13, p.876069-876069

2022

Volltextzugriff (PDF)

Learning region-guided scale-aware feature selection for object detection

Neural computing & applications, 2021-06, Vol.33 (11), p.6389-6403

2021

Volltextzugriff (PDF)

Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models

Advances in atmospheric sciences, 2023-11, Vol.40 (11), p.2108-2126

2023

Volltextzugriff (PDF)

Prior knowledge auxiliary for few-shot pest detection in the wild

Frontiers in plant science, 2023-01, Vol.13, p.1033544-1033544

2023

Volltextzugriff (PDF)

Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images

IEEE access, 2022, Vol.10, p.88632-88643

2022

Volltextzugriff (PDF)

Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review

Micromachines (Basel), 2021-12, Vol.13 (1), p.72

2021

Volltextzugriff (PDF)

An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field

IEEE access, 2019, Vol.7, p.160274-160283

2019

Volltextzugriff (PDF)

Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble

NPJ climate and atmospheric science, 2023-07, Vol.6 (1), p.85-9, Article 85

2023

Volltextzugriff (PDF)

Robust object tracking via multi-scale patch based sparse coding histogram

Multimedia tools and applications, 2017-05, Vol.76 (10), p.12181-12203

2017

Volltextzugriff (PDF)

Collaborative object tracking model with local sparse representation

Journal of visual communication and image representation, 2014-02, Vol.25 (2), p.423-434

2014

Volltextzugriff (PDF)

AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection

Computers and electronics in agriculture, 2020-07, Vol.174, p.105522, Article 105522

2020

Volltextzugriff (PDF)

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition

Computers and electronics in agriculture, 2020-02, Vol.169, p.105222, Article 105222

2020

Volltextzugriff (PDF)

When Pansharpening Meets Graph Convolution Network and Knowledge Distillation

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-15

2022

Volltextzugriff (PDF)

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation

Computers and electronics in agriculture, 2020-09, Vol.176, p.105612, Article 105612

2020

Volltextzugriff (PDF)

1 – 25 von 275

Suche als RSS-Feed

Aktive Filter

KollektioneBooks on EBSCOhost

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(210)
Mit Volltextzugriff
(240)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(179)
Technology
(89)
Life Sciences & Biomedicine
(72)
Physical Sciences
(62)
Computer Science
(43)
Engineering
(43)
Engineering, Electrical & Electronic
(32)
Chemistry
(31)
Agriculture
(24)
Materials Science
(24)
Humans
(21)
Animals
(19)
Materials Science, Multidisciplinary
(19)
Deep Learning
(18)
Algorithms
(16)
Convolutional Neural Network
(16)
Pests
(16)
Science & Technology - Other Topics
(16)
Computer Science, Interdisciplinary Applications
(15)
Female
(15)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 7 Tagen
(1)
... seit 90 Tagen
(6)

Menü

Weitere Dienste

Einstellungen

Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline

Insect Detection and Classification Based on an Improved Convolutional Neural Network

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

Algorithm for wireless sensor networks in ginseng field in precision agriculture

AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification

Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

ARFNet: adaptive receptive field network for detecting insulator self-explosion defects

An effective pest detection method with automatic data augmentation strategy in the agricultural field

AE-FPN: adaptive enhance feature learning for detecting wire defects

WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method

Learning region-guided scale-aware feature selection for object detection

Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models

Prior knowledge auxiliary for few-shot pest detection in the wild

Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images

Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review

An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field

Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble

Robust object tracking via multi-scale patch based sparse coding histogram

Collaborative object tracking model with local sparse representation

AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition

When Pansharpening Meets Graph Convolution Network and Knowledge Distillation

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation

Aktive Filter

Suchergebnisse filtern