[HTML][HTML] Application of machine learning in automatic image identification of insects-a review
Y Gao, X Xue, G Qin, K Li, J Liu, Y Zhang, X Li - Ecological Informatics, 2024 - Elsevier
Fast and reliable identification of insect species is crucial for pest management, animal
quarantine, and effective utilization of insect resources. Traditional morphological …
quarantine, and effective utilization of insect resources. Traditional morphological …
An empirical study on ensemble of segmentation approaches
Recognizing objects in images requires complex skills that involve knowledge about the
context and the ability to identify the borders of the objects. In computer vision, this task is …
context and the ability to identify the borders of the objects. In computer vision, this task is …
Exploring the potential of ensembles of deep learning networks for image segmentation
To identify objects in images, a complex set of skills is needed that includes understanding
the context and being able to determine the borders of objects. In computer vision, this task …
the context and being able to determine the borders of objects. In computer vision, this task …
Image Segmentation Using Hybrid Optimization Algorithms
AM Hemeida, HGE Yahya… - Aswan University Journal …, 2022 - journals.ekb.eg
Image segmentation, often based on the properties of image pixels, is a widely used method
in digital image processing and analysis to divide an image into multiple parts or areas. The …
in digital image processing and analysis to divide an image into multiple parts or areas. The …
Ranking on user–item heterogeneous graph for Ecommerce next basket recommendations
Recommender systems have become an indispensable engine for online applications,
which can help users locate the items they need among numerous other candidate items …
which can help users locate the items they need among numerous other candidate items …
Butterfly segmentation by multi scaled quantum cuts in agro-ecological environment
Butterflies have a prominent role in the agro-ecological ecosystems. Some butterfly
populations can injure wildlife, vegetation, and even humans in addition to causing harm to …
populations can injure wildlife, vegetation, and even humans in addition to causing harm to …
Plant leaf image segmentation in natural scenes: a multi-layer graph queries propagation approach
A Lyasmine, F Idir, B Samia - Pattern Analysis and Applications, 2025 - Springer
Accurate leaf segmentation is crucial for optimizing plant recognition and enhancing leaf
identification precision. However, leaf segmentation encounters challenges when working …
identification precision. However, leaf segmentation encounters challenges when working …
Segmentation of butterflies from complex agro-ecological images using quantum mechanics and spatial refinement
The presence of butterflies is an important indicator of environmental health and stability. Its
pollination ability increases agricultural yields. However, some butterflies may also cause …
pollination ability increases agricultural yields. However, some butterflies may also cause …
Deep Learning Method for Classifying Items into Categories for Dutch Auctions
Artificial Intelligence (AI) methods are widely used in our lives (phones, social media, self-
driving cars, and e-commerce). In AI methods, we can find convolutional neural networks …
driving cars, and e-commerce). In AI methods, we can find convolutional neural networks …
An empirical study on ensemble of segmentation approaches
A FORMAGGIO - 2022 - thesis.unipd.it
2 Introduction hyper-parameters tuning. That consists in finding the best values of some
attributes of the model. This is a context-specific task that requires domain knowledge as …
attributes of the model. This is a context-specific task that requires domain knowledge as …