An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70084
Abstract: Explainable AI (XAI) frameworks are becoming essential in many areas, including the medical field, as they help us to understand AI decisions, increasing clinical trust and improving patient care. This research presents a robust and… read more here.
Keywords: selection framework; framework; model selection; spinalnet ... See more keywords
A model selection framework to quantify microvascular liver function in gadoxetate‐enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28798
Abstract: We introduce a novel, generalized tracer kinetic model selection framework to quantify microvascular characteristics of liver and tumor tissue in gadoxetate‐enhanced dynamic contrast‐enhanced MRI (DCE‐MRI). read more here.
Keywords: framework quantify; gadoxetate enhanced; selection framework; liver ... See more keywords
Two-Level Band Selection Framework for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-020-01262-w
Abstract: Dimensionality reduction strategies can be broadly categorized as band selection and feature extraction. Researchers and analysts from the remote sensing community give greater preference to band selection over feature extraction as the latter modifies the… read more here.
Keywords: band; selection framework; band selection; two level ... See more keywords
An adaptive sensor selection framework for multisensor prognostics
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2021.1960934
Abstract: Abstract Recent advances in sensor technology have made it possible to monitor the degradation of a system using multiple sensors simultaneously. Accordingly, many neural network-based prognostic models have been proposed to use observed multiple sensor… read more here.
Keywords: sensor selection; selection framework; sensor; adaptive sensor ... See more keywords
Learning-Based Adaptive Sensor Selection Framework for Multi-Sensing WSN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3069264
Abstract: Wireless sensor nodes equipped with multiple sensors often have limited energy availability. To optimize the energy sustainability of such sensor hubs, in this paper a novel adaptive sensor selection framework is proposed. Multiple sensors monitoring… read more here.
Keywords: sensor selection; adaptive sensor; energy; framework ... See more keywords
FSF-GA: A Feature Selection Framework for Phenotype Prediction Using Genetic Algorithms
Sign Up to like & getrecommendations! Published in 2023 at "Genes"
DOI: 10.3390/genes14051059
Abstract: (1) Background: Phenotype prediction is a pivotal task in genetics in order to identify how genetic factors contribute to phenotypic differences. This field has seen extensive research, with numerous methods proposed for predicting phenotypes. Nevertheless,… read more here.
Keywords: framework phenotype; phenotype prediction; selection framework; prediction ... See more keywords
Feature Selection Framework for Improved UAV-Based Detection of Solenopsis invicta Mounds in Agricultural Landscapes
Sign Up to like & getrecommendations! Published in 2025 at "Insects"
DOI: 10.3390/insects16080793
Abstract: Simple Summary Red imported fire ants are highly aggressive invasive insects that pose challenges to agriculture, ecosystems, and public health. Their nests, or mounds, are often difficult to spot in traditional ground surveys, which also… read more here.
Keywords: detection; selection framework; uav based; improved uav ... See more keywords