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[PDF][PDF] AI for pandemic preparedness and infectious disease surveillance: predicting outbreaks, modeling transmission, and optimizing public health interventions
The increasing frequency and scale of infectious disease outbreaks underscore the need for
advanced technological solutions to enhance pandemic preparedness and response …
advanced technological solutions to enhance pandemic preparedness and response …
[PDF][PDF] Analytical tools in diseases epidemiology and surveillance: A review of literature
In the wake of emerging and re-emerging diseases, the role of analytical tools in disease
epidemiology and surveillance has never been more critical. Tools such as Geographic …
epidemiology and surveillance has never been more critical. Tools such as Geographic …
[PDF][PDF] Deep Learning based Mango Leaf Disease Detection for Classifying and Evaluating Mango Leaf Diseases.
Mango is one of the important commercial crop in the world. It provides nutritional and
financial support to human life. Different diseases of leaves impact the health of the mango …
financial support to human life. Different diseases of leaves impact the health of the mango …
[PDF][PDF] Predictive modeling for healthcare needs in the aging US population: A conceptual exploration
The aging population in the United States poses significant challenges for healthcare
systems, necessitating advanced strategies to anticipate and meet their healthcare needs …
systems, necessitating advanced strategies to anticipate and meet their healthcare needs …
Advancements and Challenges in Geospatial Artificial Intelligence, Evaluating Support Vector Machines Models for Dengue Fever Prediction: A Structured Literature …
This review examines recent advancements and ongoing challenges in applying Support
Vector Machines within Geospatial Artificial Intelligence, specifically for dengue fever …
Vector Machines within Geospatial Artificial Intelligence, specifically for dengue fever …
Equipment Sensor Signal Feature Extraction Through Time Series Clustering and Its Application in Defect Prediction
Equipment Sensor Signal Feature Extraction Through Time Series Clustering and Its
Application in Defect Prediction JCSIS 019928311823 info@jcsis.org JCSIS About Volumes …
Application in Defect Prediction JCSIS 019928311823 info@jcsis.org JCSIS About Volumes …
CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM)
CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM) JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …
Crop Yield Estimation Using Spiking Neural Networks Through Spatiotemporal Analysis of Image Time Series
N OubeBlika, S Arkhstan, L Hongou… - Journal of Computer …, 2024 - jcsis.org
Crop Yield Estimation Using Spiking Neural Networks Through Spatiotemporal Analysis of
Image Time Series JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions …
Image Time Series JCSIS 019928311823 info@jcsis.org JCSIS About Volumes Instructions …
A technique to reduce support vector machine error in feature transformation base d on multi-objective particle swarm optimization
As discriminative transformations that are applied to features or as discriminative learning
algorit hms that are employed by classifiers, these methods can be utilized in any of those …
algorit hms that are employed by classifiers, these methods can be utilized in any of those …
Evaluation of Particle Swarm Optimization for Support Vector Machine Training
N OubeBlika, S Arkhstan, W Zhang… - Journal of Computer …, 2024 - jcsis.org
Evaluation of Particle Swarm Optimization for Support Vector Machine Training JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …