Results 41 to 50 of about 529 (161)
Research on Coverage Optimization in a WSN Based on an Improved COOT Bird Algorithm
To address the problems of uneven distribution and low coverage of wireless sensor network (WSN) nodes in random deployment, a node coverage optimization strategy with an improved COOT bird algorithm (COOTCLCO) is proposed.
Yihui Huang +6 more
doaj +1 more source
Refining Accelerometer‐Based Animal Behaviour Classifications With Sequence‐Informed Post‐Processing
Machine learning can be used to detect fine‐scale animal behaviours from accelerometer data but even the best model will make prediction errors. Logic‐based post‐processing techniques can be used to correct for those errors, with no additional data or computation.
Oakleigh Wilson +4 more
wiley +1 more source
A Hybrid Heuristic Model for Duty Cycle Framework Optimization
This paper proposes a hybrid metaheuristic approach to optimize a duty cycle framework based on Seagull and Mayfly Optimization (HSMO-DC) Algorithm.
Kwabena Ansah +3 more
doaj +1 more source
A plant growth simulation algorithm (PGSA)‐based method optimizes cable forces in cable‐stayed bridges via parameter‐free global search and variable‐step parallel mechanism, achieving uniform force distribution, controlling bending moments and displacements, and enhancing structural performance while overcoming traditional algorithm limitations ...
Ruiqiang Wang +7 more
wiley +1 more source
Background: In our current digital world, smartphones are no longer limited to communication but are used in various real-world applications. In the healthcare industry, smartphones have sensors that can record data about our daily activities.
Asmaa M. Khalid +3 more
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
Because of the No Free Lunch (NFL) rule, we are still under the way developing new algorithms and improving the capabilities of the existed algorithms. Under consideration of the simple and steady convergence capability of the sine cosine algorithm (SCA)
Yu-Jun Zhang +3 more
doaj +1 more source
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
For the problem of coal seam gas content prediction, the influencing factors of coal seam gas content were analyzed by taking No.2 coal seam of Chensilou Coal Mine as the research object.
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
doaj +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 Novel Deep Learning Model for High‐Latitude Ionospheric Convection Using SuperDARN Data
Abstract Plasma convection at high latitudes is a key manifestation of magnetosphere–ionosphere coupling and serves as a critical indicator of space weather conditions. The Super Dual Auroral Radar Network (SuperDARN) provides essential data on ionospheric convection.
Bingjie Gao +6 more
wiley +1 more source

