Results 111 to 120 of about 35,156 (275)
River Research and Applications, EarlyView.ABSTRACT The presumptive standards approach to environmental flows offers a method to develop interim guidelines for ecological and social‐cultural flow needs. The approach is based on deriving acceptable percent‐of‐flow limits based on naturalised flows (the absence of depletion or alteration of flow), and it can be an effective precursor to a full ...
Jennifer Lento +6 more
wiley +1 more source
Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya
Computational and Mathematical BiophysicsThis study aims to enhance coronavirus disease 2019 forecasting in Kenya by comparing the predictive performance of statistical, machine learning, and deep learning (DL) models for total cases, critical cases, severe cases, and total deaths, using data ...
Kiarie Joyce +4 more
doaj +1 more source
GRU+VAE latent state inference network architecture. [PDF]
GRU+VAE latent state inference network architecture.
Yuchen Liu (112600) +1 more
core +1 more source
Sustainable Development, EarlyView.ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley +1 more source
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems)Stock price prediction continues to be a major focus for investors today, some previous studies often focus on technical analysis using historical stock price data and ignore external factors that can affect stock prices.
Anita Sjahrunnisa +2 more
doaj +1 more source
GRU model performance comparison with/out optimization. [PDF]
GRU model performance comparison with/out optimization.
Muhammad Usman Tariq (11022141) +1 more
core +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Wind Speed Multi-Mode Ensemble Forecasting for Wind Farms Based on Machine Learning
南方能源建设[Introduction] With the extensive construction of wind farms, the combination of researches on different machine learning algorithms and meteorological forecasting modes has received widespread attention.
Sheng GAO, Peihua XU, Zhenghong CHEN
doaj +1 more source
Small, EarlyView.Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong +9 more
wiley +1 more source