A review on deep-learning algorithms for fetal ultrasound-image analysis
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …
fetal images. A number of survey papers in the field is today available, but most of them are …
Simulation tests of methods in evolution, ecology, and systematics: pitfalls, progress, and principles
KE Lotterhos, MC Fitzpatrick… - Annual review of …, 2022 - annualreviews.org
Complex statistical methods are continuously developed across the fields of ecology,
evolution, and systematics (EES). These fields, however, lack standardized principles for …
evolution, and systematics (EES). These fields, however, lack standardized principles for …
Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
R Valavi, G Guillera‐Arroita… - Ecological …, 2022 - Wiley Online Library
Species distribution modeling (SDM) is widely used in ecology and conservation. Currently,
the most available data for SDM are species presence‐only records (available through …
the most available data for SDM are species presence‐only records (available through …
Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …
A new convolutional neural network architecture for automatic detection of brain tumors in magnetic resonance imaging images
Brain diseases are mainly caused by abnormal growth of brain cells that may damage the
brain structure, and eventually will lead to malignant brain cancer. An early diagnosis to …
brain structure, and eventually will lead to malignant brain cancer. An early diagnosis to …
Development and delivery of species distribution models to inform decision-making
Abstract Information on where species occur is an important component of conservation and
management decisions, but knowledge of distributions is often coarse or incomplete …
management decisions, but knowledge of distributions is often coarse or incomplete …
Network intrusion detection based on PSO-XGBoost model
H Jiang, Z He, G Ye, H Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Network intrusion detection system (NIDS) is a commonly used tool to detect attacks and
protect networks, while one of its general limitations is the false positive issue. On the basis …
protect networks, while one of its general limitations is the false positive issue. On the basis …
Double AMIS-ensemble deep learning for skin cancer classification
This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
[HTML][HTML] Novel hybrid firefly algorithm: An application to enhance XGBoost tuning for intrusion detection classification
The research proposed in this article presents a novel improved version of the widely
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …
Next day wildfire spread: A machine learning dataset to predict wildfire spreading from remote-sensing data
Predicting wildfire spread is critical for land management and disaster preparedness. To this
end, we present “Next Day Wildfire Spread,” a curated, large-scale, multivariate dataset of …
end, we present “Next Day Wildfire Spread,” a curated, large-scale, multivariate dataset of …