Monkeypox diagnosis with interpretable deep learning
As the world gradually recovers from the impacts of COVID-19, the recent global spread of
Monkeypox disease has raised concerns about another potential pandemic, highlighting the …
Monkeypox disease has raised concerns about another potential pandemic, highlighting the …
Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation
S Hao, C Huang, AA Heidari, Q Shao… - Multimedia Tools and …, 2024 - Springer
COVID-19 X-ray images are a vital approach for diagnosing whether a patient has an
infection. By using multi-threshold image segmentation (MIS) technology to segment the …
infection. By using multi-threshold image segmentation (MIS) technology to segment the …
Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
This study's foremost objectives were to scrutinize how unexpected weather affects
agricultural output and to assess how well AI-based machine learning and deep leaning …
agricultural output and to assess how well AI-based machine learning and deep leaning …
Cauchy mutation boosted Harris hawk algorithm: Optimal performance design and engineering applications
W Shan, X He, H Liu, AA Heidari… - Journal of …, 2023 - academic.oup.com
Harris hawks optimization (HHO) has been accepted as one of the well-established swarm-
based methods in the community of optimization and machine learning that primarily works …
based methods in the community of optimization and machine learning that primarily works …
PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment
P Dhiman, P Manoharan, UK Lilhore… - EURASIP Journal on …, 2023 - Springer
Fruits significantly impact everyday living, ie, Citrus fruits. Numerous fruits have a solid
nutritious value and are packed with multivitamins and trace components. Citrus fruits are …
nutritious value and are packed with multivitamins and trace components. Citrus fruits are …
Artificial intelligence in diagnosis and management of Huntington's disease
N Parekh, A Bhagat, B Raj, RS Chhabra… - Beni-Suef University …, 2023 - Springer
Background Huntington's disease is one of the rare neurodegenerative diseases caused
because of genetic mutation of the Huntingtin gene. The major hallmarks of the condition …
because of genetic mutation of the Huntingtin gene. The major hallmarks of the condition …
[PDF][PDF] Citrus fruit disease detection techniques: a survey and comparative analysis of relevant approaches
The incorporation of computer vision in contemporary agriculture has witnessed significant
advancements, particularly in detecting diseases and deficiencies affecting citrus fruit …
advancements, particularly in detecting diseases and deficiencies affecting citrus fruit …
Cotton crop classification using satellite images with score level fusion based hybrid model
Accurate cotton images are significant component for surveiling cotton development and its
precise control. A suitable technique for charting the distribution of cotton at the county or …
precise control. A suitable technique for charting the distribution of cotton at the county or …
Nonlinear crossing strategy-based particle swarm optimizations with time-varying acceleration coefficients
K Watanabe, X Xu - Applied Intelligence, 2024 - Springer
In contemporary particle swarm optimization (PSO) algorithms, to efficiently explore global
optimum solutions, it is common practice to set the inertia weight to monotonically decrease …
optimum solutions, it is common practice to set the inertia weight to monotonically decrease …
Novel Improved Fuzzy C-means Clustering for MR Image Brain Tissue Segmentation to Detect Alzheimer's Disease
In this study a novel approach to segment tissue of the brain in magnetic resonance imaging
(MRI) images has been introduced to diagnose Alzheimer's disease. The algorithm …
(MRI) images has been introduced to diagnose Alzheimer's disease. The algorithm …