Emerging technologies revolutionise insect ecology and monitoring
Insects are the most diverse group of animals on Earth, but their small size and high diversity
have always made them challenging to study. Recent technological advances have the …
have always made them challenging to study. Recent technological advances have the …
Towards the fully automated monitoring of ecological communities
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …
global change and biodiversity declines. While real‐time and automated monitoring of …
Accurate detection and identification of insects from camera trap images with deep learning
Reported insect declines have dramatically increased the global demand for standardized
insect monitoring data. Image-based monitoring can generate such data cost-efficiently and …
insect monitoring data. Image-based monitoring can generate such data cost-efficiently and …
Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered …
Explainable artificial intelligence (XAI) aims to offer machine learning (ML) methods that
enable people to comprehend, properly trust, and create more explainable models. In …
enable people to comprehend, properly trust, and create more explainable models. In …
[HTML][HTML] Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator …
Brain tumor classification is one of the most difficult tasks for clinical diagnosis and treatment
in medical image analysis. Any errors that occur throughout the brain tumor diagnosis …
in medical image analysis. Any errors that occur throughout the brain tumor diagnosis …
Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring
We need comprehensive information to manage and protect biodiversity in the face of global
environmental challenges, and artificial intelligence is required to generate that information …
environmental challenges, and artificial intelligence is required to generate that information …
Moths complement bumblebee pollination of red clover: a case for day-and-night insect surveillance
Recent decades have seen a surge in awareness about insect pollinator declines. Social
bees receive the most attention, but most flower-visiting species are lesser known, non-bee …
bees receive the most attention, but most flower-visiting species are lesser known, non-bee …
[HTML][HTML] Computer vision and deep learning in insects for food and feed production: A review
Commercial insect production is a relatively new field that has gained traction in recent
years due to its potential as a sustainable source of protein. Despite its promising future, the …
years due to its potential as a sustainable source of protein. Despite its promising future, the …
A Deep-Learning-Based detection approach for the identification of insect species of economic importance
Simple Summary This study aims at develo** a machine-learning-based classification
approach to recognize insect species of economic importance. Two tephritid pest species …
approach to recognize insect species of economic importance. Two tephritid pest species …
[HTML][HTML] Hierarchical classification of insects with multitask learning and anomaly detection
Cameras and computer vision are revolutionising the study of insects, creating new research
opportunities within agriculture, epidemiology, evolution, ecology and monitoring of …
opportunities within agriculture, epidemiology, evolution, ecology and monitoring of …