Optimized deep learning with learning without forgetting (LwF) for weather classification for sustainable transportation and traffic safety
Unfortunately, accidents caused by bad weather have regularly made headlines throughout
history. Some of the more catastrophic events to recently make news include a plane crash …
history. Some of the more catastrophic events to recently make news include a plane crash …
Data-intensive inventory forecasting with artificial intelligence models for cross-border e-commerce service automation
Building an adaptative, flexible, resilient, and reliable inventory management system
provides a reliable supply of cross-border e-commerce commodities, enhances supply chain …
provides a reliable supply of cross-border e-commerce commodities, enhances supply chain …
An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering
Brain tumors in Magnetic resonance image segmentation is challenging research. With the
advent of a new era and research into machine learning, tumor detection and segmentation …
advent of a new era and research into machine learning, tumor detection and segmentation …
Green synthesis, characterization, and hepatoprotective effect of zinc oxide nanoparticles from Moringa oleifera leaves in CCl4-treated albino rats
Hepatotoxin carbon tetrachloride (CCl 4) causes liver injury. This research aims to create
ZnO-NPs using green synthesis from Moringa oleifera (MO) leaves aqueous extract, and …
ZnO-NPs using green synthesis from Moringa oleifera (MO) leaves aqueous extract, and …
[HTML][HTML] A comparative analysis of boosting algorithms for chronic liver disease prediction
SM Ganie, PKD Pramanik - Healthcare Analytics, 2024 - Elsevier
Chronic liver disease (CLD) is a major health concern for millions of people all over the
globe. Early prediction and identification are critical for taking appropriate action at the …
globe. Early prediction and identification are critical for taking appropriate action at the …
An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting
Streamflow estimation is necessary to develop sustainable water management strategies
that balance the needs of various water users while protecting the ecological health of the …
that balance the needs of various water users while protecting the ecological health of the …
Classification of skin cancer using deep batch-normalized elu alexnet with fractional sparrow ladybug optimization
Skin cancer is the most commonly found kind of cancer with eight diagnostic classes, which
makes its classification highly challenging. Recent years have witnessed the increased …
makes its classification highly challenging. Recent years have witnessed the increased …
Driving Technologies of Industry 5.0 in the Medical Field
S Dalal, B Seth, M Radulescu - … 5.0: An Organizational Model for Twin …, 2023 - emerald.com
Customers today expect businesses to cater to their individual needs by tailoring the
products they purchase to their own preferences. The term “Industry 5.0” refers to a new …
products they purchase to their own preferences. The term “Industry 5.0” refers to a new …
Drag force on a microrobot propelled through blood
C Wu, T Omori, T Ishikawa - Communications Physics, 2024 - nature.com
Controlling microrobot locomotion in vessels and capillaries is crucial for precise drug
delivery and minimally invasive surgeries. However, this is challenging due to the complex …
delivery and minimally invasive surgeries. However, this is challenging due to the complex …
Machine learning model matters its accuracy: a comparative study of ensemble learning and automl using heart disease prediction
Ensemble machine learning is the concept of using multiple models to gain better
performance from the combination of weak individual models. New researchers focus on …
performance from the combination of weak individual models. New researchers focus on …