Kinematic modeling is central to understanding and interpreting motion across both biological and artificial systems. Traditionally underpinned by ...
The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...
Heat stress is widely recognized as a critical risk factor in livestock systems. Rising temperatures and humidity levels can ...
Modelling the Subjective Road Traffic Noise Annoyance Levels in Nairobi City, Kenya. World Journal of Engineering and ...
High-throughput sequencing, single-cell technologies, and large-scale population studies have transformed genetics and genomics into data-intensive ...
Abstract: Numerous short-term load forecasting models are available in the literature. However, the improvement in forecast accuracy using the combination models has yet to be analyzed on a daily ...
Operating RealityWalk through a paper mill, a bottling plant, a mining conveyor line, or a food-processing facility and you’ll find the same fragile truth: production often stops for reasons that look ...
Abstract: For a relatively small labeled dataset from high-dimensional generalized linear models with block-wise missing covariates and a large unlabeled dataset, we utilize a model-assisted approach ...
Analyst Insight: As 2025 comes to an end, one reality has become clear: The traditional linear product lifecycle management model has reached its limits. For years, PLM served retailers well by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results