The traditional global food supply chains are not just complex, but they do not support the
sustainability of agriculture. The business models with the greatest growth potential are …

Collective air distribution is widely used for thermally comfortable indoor environments but is
limited to unified thermal comfort requirements. Advanced collective air distribution has the …

The region-based robotic machining system is mainly used for repair and remanufacturing of
the complex components with local defects. Taking the automotive body manufacturing as …

In existing deep clustering methods, as the model gets deeper, extracted representations
can be deteriorated due to a vanishing gradient, leading to reduced performance. Also …

Previous studies have established a significant link between urban form and sustainability.
However, the diversity of micro-scale urban forms in cities in the global south has received …

The k-means, one of the most widely used clustering algorithm, is not only faster in
computation but also produces comparatively better clusters. However, it has two major …

Complexity measures aim to characterize the underlying complexity of supervised data.
These measures tackle factors hindering the performance of Machine Learning (ML) …

Drilling parameters optimization has consistently generated research interest over the years
because of the cost-saving benefits associated to improve drilling efficiency. However …

Bearings are an essential component of rotating mechanical equipment. Traditional signal
processing-based fault diagnosis methods usually require a massive labeled data for …

Finding clusters of different densities is a challenging task. DBSCAN “Density-Based Spatial
Clustering of Applications with Noise” method has trouble discovering clusters of various …