Results 51 to 60 of about 449 (165)
Energy Consumption Prediction and Optimization of Electric Vehicles Based on RLS and Improved SOA
The new energy vehicle industry is facing new challenges. To predict and optimize the energy consumption of electric vehicles, this study predicts energy consumption based on the energy consumption characteristics of the electric vehicle power system and
Chunling Liu
doaj +1 more source
Optimal deep learning activity recognition pipeline using animal bio‐logging data
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley +1 more source
This study provides the first comprehensive anatomical and CT characterization of the nasal cavity of the grey heron, enabling the identification of its major components and spatial organization. Correlative evaluation of multiplanar CT images with anatomical sections proved highly effective for delineating landmarks, offering a reference for clinical ...
Natalia Roldán‐Medina +8 more
wiley +1 more source
A Hybrid Method for the Fault Diagnosis of Onboard Traction Transformers
As vital equipment in high-speed train power supply systems, the failure of onboard traction transformers affect the safe and stable operation of the trains.
Junmin Zhu +3 more
core +1 more source
The spread of non‐native species
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock +16 more
wiley +1 more source
One of the main problems with WSNs is that most sensor nodes in wireless sensor networks (WSNs) are motorized by energy-constrained, which significantly affects the system’s effectiveness, dependability, and lifespan.
H. L. Gururaj +5 more
doaj +1 more source
The sine cosine algorithm (SCA) is a metaheuristic algorithm proposed in recent years that does not resort to nature-related metaphors but explores and exploits the search space with the help of two simple mathematical functions of sine and cosine.
Escorcia-Gutierrez, José +9 more
core +1 more source
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi +5 more
wiley +1 more source
ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source

