Results 201 to 210 of about 212,585 (307)
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]
Pollington F +5 more
europepmc +1 more source
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]
Bikku T +7 more
europepmc +1 more source
Single-unit activations confer inductive biases for emergent circuit solutions to cognitive tasks. [PDF]
Tolmachev P, Engel TA.
europepmc +1 more source
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
CREATE: a novel attention-based framework for efficient classification of transposable elements. [PDF]
Qi Y +7 more
europepmc +1 more source
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
Hybrid geostatistical and deep learning framework for geochemical characterization in historical mine tailings. [PDF]
Anvari K +3 more
europepmc +1 more source

