AIMC Topic: Forecasting
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Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution.
PloS one
Dec 10, 2024
Air pollution constitutes a significant worldwide environmental challenge, presenting threats to both our well-being and the purity of our food supply. This study suggests employing Recurrent Neural Network (RNN) models featuring Long Short-Term Memo...
Current status and future directions of explainable artificial intelligence in medical imaging.
European journal of radiology
Dec 6, 2024
The inherent "black box" nature of AI algorithms presents a substantial barrier to the widespread adoption of the technology in clinical settings, leading to a lack of trust among users. This review begins by examining the foundational stages involve...
Dongting Lake algal bloom forecasting: Robustness and accuracy analysis of deep learning models.
Journal of hazardous materials
Dec 5, 2024
Harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, prompting efforts to predict their occurrence for swift action by water management agencies. Despite the potential for high-precision forecasting through machine learning, t...
[The future of medicine: an informed look into the "crystal ball"].
Deutsche medizinische Wochenschrift (1946)
Dec 4, 2024
This article explores potential future scenarios for the medical field based on current trends, technological advancements, and social dynamics. By examining advances in artificial intelligence, immersive technologies, genomics, and digital health in...
Are more data always better? - Machine learning forecasting of algae based on long-term observations.
Journal of environmental management
Dec 2, 2024
Bloom-forming algae present a unique challenge to water managers as they can significantly impair provision of important ecosystem services and cause health risks to humans and animals. Consequently, effective short-term algae forecasts are important...
Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models.
Scientific reports
Dec 2, 2024
A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the present day. ...
Hybrid CNN-GRU Model for Real-Time Blood Glucose Forecasting: Enhancing IoT-Based Diabetes Management with AI.
Sensors (Basel, Switzerland)
Nov 30, 2024
For people with diabetes, controlling blood glucose level (BGL) is a significant issue since the disease affects how the body metabolizes food, which makes careful insulin regulation necessary. Patients have to manually check their blood sugar levels...
Beyond homophily in spatial-temporal traffic flow forecasting.
Neural networks : the official journal of the International Neural Network Society
Nov 28, 2024
Traffic flow forecasting is a crucial yet complex task due to the intricate spatial-temporal correlations arising from road interactions. Recent methods model these interactions using message-passing Graph Convolution Networks (GCNs), which work for ...
Regional PM prediction with hybrid directed graph neural networks and Spatio-temporal fusion of meteorological factors.
Environmental pollution (Barking, Essex : 1987)
Nov 28, 2024
Traditional statistical prediction methods on PM often focus on a single temporal or spatial dimension, with limited consideration for regional transport interactions among adjacent cities. To address this limitation, we propose a hybrid directed gra...
The Role and Future of Artificial Intelligence in Robotic Image-Guided Interventions.
Techniques in vascular and interventional radiology
Nov 28, 2024
Artificial intelligence and robotics are transforming interventional radiology, driven by advancements in computer vision, robotics and procedural automation. Historically focused on diagnostics, AI now also enhances procedural capabilities in IR, en...
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