Results 181 to 190 of about 59,222 (317)

N‐SDM 2.0: a reengineered software with extended features for nested species distribution modelling

open access: yesEcography, EarlyView.
Species distribution models (SDMs) are central tools for predicting and forecasting how species respond to environmental changes, yet their reliability depends on accurately capturing ecological processes across spatial scales while accounting for uneven data availability and resolution.
Antoine Adde   +3 more
wiley   +1 more source

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

open access: yesEpilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

open access: yesEnergy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine   +5 more
wiley   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

open access: yesFood Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang   +3 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

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