Climate Change News and Research

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Optimizing Greenhouse Management with Accurate Temperature Prediction

Researchers present an innovative study focused on accurate temperature prediction for greenhouse management. By comparing Multiple Linear Regression (MLR), Radial Basis Function (RBF), and Support Vector Machine (SVM) models, they identify the RBF model with the Levenberg–Marquardt (LM) learning algorithm as the most effective. This model achieves precise greenhouse temperature forecasting, enhancing crop yields, and minimizing energy waste.

11 Aug 2023

DCTN: A Novel DCNN-Transformer Model for Climate Change Impact Evaluation

The DCTN model, combining deep convolutional neural networks and Transformers, demonstrates superior accuracy in hydrologic forecasting and climate change impact evaluation, outperforming traditional models by approximately 30.9%. The model accurately predicts runoff patterns, aiding in water resource management and climate change response.

5 Aug 2023

Green AI: Transforming Energy Forecasting for a Sustainable Future

Researchers delve into the world of Green AI, a promising technology that combines artificial intelligence with sustainability practices to address energy forecasting and management challenges. The article explores applications in green energy load forecasting, power consumption prediction, and electricity price forecasting, highlighting the potential of Green AI to optimize energy distribution, promote renewable energy sources, and foster a greener and more sustainable future.

2 Aug 2023

Tech Meets Nature: AI-Powered Sensors Revolutionize UK Biodiversity Monitoring in Farming

Scientists are using automated wildlife sensors and artificial intelligence (AI) over the next four years to demonstrate the effectiveness of agri-environment and peatland restoration schemes in improving biodiversity.

20 Jul 2023

CEPI and Houston Methodist Research Institute Partner to Develop AI-Driven Vaccines for Future Viral Threats

The Coalition for Epidemic Preparedness Innovations (CEPI) and the Houston Methodist Research Institute (HMRI) are partnering to use artificial intelligence (AI) in developing faster vaccines against future viral threats. They aim to achieve this through a $4.98 million project using AI to identify viral structures for potential vaccine candidates, contributing to a global 'Vaccine Library' for a rapid response to emerging diseases, with the overarching goal of compressing vaccine development to within 100 days of a pathogen's identification.

19 Jul 2023

Riding the Storm: Machine Learning Unveils Climate Change's Impact on New York/New Jersey Coastlines

Researchers utilize machine learning to assess the impact of climate change on storm surge hazards along the New York/New Jersey coastlines. By integrating high-fidelity hydrodynamic models and predictive algorithms, they reveal projected increases in storm surge levels, emphasizing the need for proactive adaptation strategies in the face of climate change.

18 Jul 2023

Unleashing the Power of Social Media: Advancing Weather Event Detection with VGI

Researchers propose a visual analytics pipeline that leverages citizen volunteered geographic information (VGI) from social media to enhance impact-based weather warning systems. By combining text and image analysis, machine learning, and interactive visualization, they aim to detect and explore extreme weather events with greater accuracy and provide valuable localized information for disaster management and resilience planning.

16 Jul 2023

Unleashing the Power of Remotely Sensed Big Data: Transforming Archaeological Research with Google Earth Engine

Researchers explore the game-changing capabilities of Google Earth Engine (GEE) in revolutionizing archaeological research. By bridging the gap between remotely sensed big data (RSBD) and archaeological analysis, GEE overcomes challenges related to data access, computational resources, and methodological awareness.

12 Jul 2023

AI-Powered Solutions: Transforming Food Waste into a Circular Economy

The integration of artificial intelligence (AI) is transforming the battle against food waste and propelling the transition towards a circular economy. By leveraging AI technologies, such as advanced analytics and machine learning, various applications are being developed to optimize food manufacturing, distribution networks, and waste management processes. These AI-driven solutions enhance decision-making, enable efficient resource utilization, and support recycling and upcycling initiatives.

9 Jul 2023

Planting the Future: Generating Key Questions in Plant Science with ChatGPT

The study explores the use of large language models (LLMs), specifically ChatGPT, to generate important questions in plant science. ChatGPT successfully generated relevant questions, highlighting the importance of sustainable products, plant-environment interactions, plant mechanisms, and enhanced plant traits. While ChatGPT overlooked certain aspects emphasized by researchers, it demonstrated its potential as a supportive tool in plant science research.

6 Jul 2023

Game Changer in Emergency Response: AI System Learns to Detect Natural Disasters from Social Media Images

Large-scale multi-label dataset, Incidents1M, is introduced for incident detection and image-filtering experiments on social media. It enables timely understanding of natural disaster progression and aftermath using automated methods.

28 Jun 2023

UCLA Geologists Harness AI to Revolutionize Landslide Prediction

UCLA geologists have devised an innovative method employing artificial intelligence to enhance the prediction of potential landslide locations, a development that could significantly boost safety measures in regions frequently afflicted by natural calamities.