Application of machine learning and neural networks to predict the yield of cereals, legumes, oilseeds and forage crops in Kazakhstan
The article provides an overview of the accuracy of various yield forecasting algorithms and
offers a detailed explanation of the models and machine learning algorithms that are …
offers a detailed explanation of the models and machine learning algorithms that are …
Novel technological advances to protect people who exercise or work in thermally stressful conditions: A transition to more personalized guidelines
Background: Prevention plays a key role in ensuring health and safety and is particularly
important in scenarios when life is threatened. Adverse thermal conditions are experienced …
important in scenarios when life is threatened. Adverse thermal conditions are experienced …
Connecting People and Places: How Citizen Diplomacy and VGI Are Strengthening Disaster Response and Community Development
M Ahmad - Global Perspectives on the Emerging Trends in Public …, 2023 - igi-global.com
Exploring the potential of VGI for community development and disaster response is the focus
of this chapter. It examined the impact of VGI on community growth, including active …
of this chapter. It examined the impact of VGI on community growth, including active …
Digital interventions and serious mobile games for health in low-and middle-income countries (LMICs)
In recent years, digital technology has demonstrated significant potential for delivering
public health, health systems and health interventions remotely in low-and middle-income …
public health, health systems and health interventions remotely in low-and middle-income …
Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study
One of the barriers to performing geospatial surveillance of mosquito occupancy or
infestation anywhere in the world is the paucity of primary entomologic survey data …
infestation anywhere in the world is the paucity of primary entomologic survey data …
An Empirically-parametrized Spatio-Temporal Extended-SIR Model for Combined Dilution and Vaccination Mitigation for Rabies Outbreaks in Wild Jackals
T Lazebnik, Y Samuel, J Tichon, R Lapid… - arxiv preprint arxiv …, 2025 - arxiv.org
The transmission of zoonotic diseases between animals and humans poses an increasing
threat. Rabies is a prominent example with various instances globally, facilitated by a …
threat. Rabies is a prominent example with various instances globally, facilitated by a …
Improving Open Weather Prediction Data Accuracy Using Machine Learning Techniques
Weather prediction methods have evolved significantly over the past fifty years, including
advances in numerical weather prediction, high-performance computing, mesoscale …
advances in numerical weather prediction, high-performance computing, mesoscale …
Mosquito Ovitraps IoT Sensing System (MOISS): Internet of Things-based System for Continuous, Real-Time and Autonomous Environment Monitoring
The monitoring of environmental parameters is indispensable for controlling mosquito
populations. The abundance of mosquitoes mainly depends on climate conditions, weather …
populations. The abundance of mosquitoes mainly depends on climate conditions, weather …
OPEN ACCESS EDITED BY
M Okpeku, SA Ali, RM García, C Unnithan… - … and prevention of …, 2023 - books.google.com
In an age when global viruses such as COVID-19 are an urgent public health priority for
research, overshadowing vector-borne diseases, the World Health Organization (WHO) has …
research, overshadowing vector-borne diseases, the World Health Organization (WHO) has …
[PDF][PDF] Smart Roads Ahead: Integrating Machine Learning and Generative AI for Proactive Traffic Safety
RM Yousufi - 2024 - researchgate.net
Background: Road safety remains a global concern, with over a million fatalities reported
annually due to traffic accidents. The UK's effort towards autonomous vehicles (AVs) by …
annually due to traffic accidents. The UK's effort towards autonomous vehicles (AVs) by …