Results 11 to 20 of about 24,193 (248)

A review of the opportunities for spectral‐based technologies in post‐harvest testing of pulse grains

open access: yesLegume Science, 2023
Pulse grains are phenotypically diverse varying in colour, size, shape, and uniformity and have been integrated within many cultures and cuisines for several thousand years.
Linda McDonald, Joe Panozzo
doaj   +1 more source

Developments of Computer Vision and Image Processing: Methodologies and Applications

open access: yesFuture Internet, 2023
The rapid advancement of technology has enabled a vast and ever-growing number of computer applications in real scenarios of our daily life [...]
openaire   +3 more sources

Parallelization of the Honeybee Search Algorithm for Object Tracking

open access: yesApplied Sciences, 2020
Object tracking refers to the relocation of specific objects in consecutive frames of a video sequence. Presently, this visual task is still considered an open research issue, and the computer science community attempted solutions from the standpoint of ...
Oscar E. Perez-Cham   +5 more
doaj   +1 more source

Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster) [PDF]

open access: yesFrontiers in Built Environment, 2018
The paper presents the core methodology for assessing solar radiation and energy production on building rooftops and vertical facades (still rarely considered) of the inner-city. This integrated tool is based on the use of LiDAR, 2D and 3D cadastral data.
Desthieux, Gilles   +8 more
openaire   +3 more sources

On Isotropy of Multimodal Embeddings

open access: yesInformation, 2023
Embeddings, i.e., vector representations of objects, such as texts, images, or graphs, play a key role in deep learning methodologies nowadays. Prior research has shown the importance of analyzing the isotropy of textual embeddings for transformer-based ...
Kirill Tyshchuk   +5 more
doaj   +1 more source

Image-Based Food Classification and Volume Estimation for Dietary Assessment: A Review

open access: yesIEEE journal of biomedical and health informatics, 2020
A daily dietary assessment method named 24-hour dietary recall has commonly been used in nutritional epidemiology studies to capture detailed information of the food eaten by the participants to help understand their dietary behaviour.
F. P. Lo   +3 more
semanticscholar   +1 more source

Evaluation of novel precision viticulture tool for canopy biomass estimation and missing plant detection based on 2.5D and 3D approaches using RGB images acquired by UAV platform

open access: yesPlant Methods, 2020
Background The knowledge of vine vegetative status within a vineyard plays a key role in canopy management in order to achieve a correct vine balance and reach the final desired yield/quality.
Salvatore Filippo Di Gennaro   +1 more
doaj   +1 more source

Transfer learning-based Fashion Image Classification using Hybrid 2D-CNN and ImageNet Neural Network

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2021
: Many algorithms have been developed as a result of recent advances in machine learning to handle a variety of challenges. In recent years, the most popular transfer learning method has allowed researchers and engineers to run experiments with minimal ...
S. Duseja
semanticscholar   +1 more source

Soft Memory Box: A Virtual Shared Memory Framework for Fast Deep Neural Network Training in Distributed High Performance Computing

open access: yesIEEE Access, 2018
Deep learning is one of the major promising machine learning methodologies. Deep learning is widely used in various application domains, e.g., image recognition, voice recognition, and natural language processing.
Shinyoung Ahn   +3 more
doaj   +1 more source

A Comprehensive Survey of Deep Learning Approaches in Image Processing

open access: yesSensors
The integration of deep learning (DL) into image processing has driven transformative advancements, enabling capabilities far beyond the reach of traditional methodologies.
Maria Trigka, Elias Dritsas
doaj   +1 more source

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