Results 201 to 210 of about 212,585 (307)

Intelligent Control Strategy of a Battery Energy Storage for a Climate‐Controlled Greenhouse with a High Proportion of Local Renewable Energy

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Greenhouse cultivation offers the advantage of controlled growth conditions, leading to enhanced crop productivity and quality. However, maintaining these optimal conditions requires substantial energy, resulting in increased greenhouse gas emissions and operational costs. Integrating local renewable energy sources, particularly photovoltaic (PV) solar
Akihiro Funaki, Jorge Solis
wiley   +1 more source

Evaluation of trajectory analysis for disease risk assessment: a scoping review. [PDF]

open access: yesJ Am Med Inform Assoc
Pollington F   +5 more
europepmc   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

open access: yesWildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge   +4 more
wiley   +1 more source

Deep Learning-Driven Early Diagnosis of Respiratory Diseases using CNN-RNN Fusion on Lung Sound Data. [PDF]

open access: yesSci Rep
Bikku T   +7 more
europepmc   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah   +4 more
wiley   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch   +4 more
wiley   +1 more source

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