Results 81 to 90 of about 8,000 (250)
Type 2 Diabetes Prediction using Gray Wolf Optimization Algorithm
Background: Increasing the number of diabetic patients and the ignorance of most of these patients aboutthe dangers arising from it is a challenge that threatens human lives.Materials and Method: In this paper, a new solution based on the Gray Wolf Optimization (GWO) algorithmfor predicting type 2 diabetes is presented. The main purpose of the proposed
openaire +2 more sources
Animals gather information about their surroundings, including their social environment, using a wide range of sensory modalities. Variation in reception, processing and interpretation of information (cues or signals) can lead to differences in how individuals perceive their local environment. Yet, how individual differences in environmental perception
Ane Liv Berthelsen +13 more
wiley +1 more source
Modeling Fiber Dispersion in a Single‐Screw Extruder for Long Fiber‐Reinforced Thermoplastics
Fiber dispersion throughout the screw channel ABSTRACT Understanding the mechanics of fiber attrition during the plasticizing process is important in predicting the strength of long fiber‐reinforced thermoplastics (LFT) composites. Fiber dispersion has been found to impact fiber damage during processing and therefore final fiber length in the final ...
Hector Sebastian Perez +4 more
wiley +1 more source
For crossed roller bearings, manual assembly has problems such as low efficiency, high cost and large error, a four-degree-of-freedom robotic arm was designed to automatically assemble cross roller bearings.
Hu Jiangtao +3 more
doaj
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
A Novel Crawling Robot Based on the Hexagonal Mesh Structure and Enhanced PID Control Strategy
ABSTRACT The locomotion of crawling robots is similar to that of caterpillars, relying on foot adhesion and body contraction to ensure flexible movement without compromising stability. However, most existing pneumatic soft crawling robots are incapable of simultaneously achieving forward, backward, turning, and climbing capabilities.
Meng Hongjun +4 more
wiley +1 more source
The study presents a novel hybrid gray wolf and whale optimization algorithm (hGWOAM) for the capacitated vehicle routing problem (CVRP). By integrating the enhanced whale optimization algorithm (EWOA) and gray wolf optimizer (GWO) with tournament ...
Vu Hong Son Pham +2 more
doaj +1 more source
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
Path Planning of Obstacle-Crossing Robot Based on Golden Sine Grey Wolf Optimizer
This paper proposes a golden sine grey wolf optimizer (GSGWO) that can be adapted to the obstacle-crossing function to solve the path planning problem of obstacle-crossable robot.
Di Zhao +3 more
doaj +1 more source

