Results 91 to 100 of about 17,412 (237)
Camera traps have become an increasingly popular non‐invasive alternative to animal‐attached devices for studying wildlife behaviour. This study compared wolf (Canis lupus) activity patterns derived from collar accelerometers and road‐positioned camera traps and revealed strong overall agreement but also important seasonal and diel mismatches between ...
Katarzyna Bojarska +7 more
wiley +1 more source
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee +2 more
wiley +1 more source
Beyond Reuse Distance Analysis: Dynamic Analysis for Characterization of Data Locality Potential [PDF]
Emerging computer architectures will feature drastically decreased flops/byte (ratio of peak processing rate to memory bandwidth) as highlighted by recent studies on Exascale architectural trends.
Elango, Venmugil +7 more
core +2 more sources
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Deep Kronecker LeNet for human motion classification with feature extraction
Human motion classification is gaining more interest among researchers, and it is significant in various applications. Human motion classification and assessment play a significant role in health science and security.
Thottempudi Pardhu +2 more
doaj +1 more source
Foraging plasticity and physiological adaptations enable hummingbirds to subsist on dilute nectars
Read the free Plain Language Summary for this article on the Journal blog. Abstract Hummingbirds frequently feed on small volumes (<30 μL) of sucrose‐rich nectars. Climate change is expected to affect both the abundance and the concentrations of accumulated nectar.
Rosalee L. Elting +5 more
wiley +1 more source
When training Convolutional Neural Networks (CNNs) there is a large emphasis on creating efficient optimization algorithms and highly accurate networks.
Bradicic, Manuel +2 more
core
Read the free Plain Language Summary for this article on the Journal blog. Abstract Ecological traits such as behaviour, physiology and morphology mediate an organism's interaction with its environment, and understanding their joint contribution to reproductive fitness is essential for predicting biological responses to global change.
Maria Vittoria Mazzamuto +7 more
wiley +1 more source
The Meaning of Work in the Digital Era: A Systematic Review and Research Agenda
ABSTRACT As digital technologies continue to reshape the nature of work, their impact on workers' experience of the meaning of work has attracted growing scholarly interest. However, the existing body of findings remains largely fragmented and conceptually inconsistent.
Yukun Liu +4 more
wiley +1 more source

