The study draws a clear distinction between digital and precision agriculture. While precision agriculture addresses spatial ...

Smart chips, which function as integrated micro-sensor units, enable continuous environmental monitoring by collecting and ...

Abstract: Support vector machines (SVMs) have been very successful in pattern classification and function approximation problems for crisp data ... analysis. In contrast to previous fuzzy nonlinear ...

Abstract: Now a days Support Vector Machine(SVM) has been used extensively in Hyperspectral Image(HSI) classification. It outperforms many classification algorithms and its performance still improving ...

This study presents a valuable finding on how the locus coeruleus modulates the involvement of medial prefrontal cortex in set shifting using calcium imaging. The evidence supporting the claims was ...

Compared with optimization algorithm and machine ... the support vector, the minority samples are generated according to the decision-making mechanism and expanded to areas where the majority samples ...

Findings indicate a 187.15 kiloton decline in carbon storage due to mining, stressing the importance of ecological ...

From a spatial ... 8 (2). Analysis of data utilizing three machine learning methods indicates that the interaction term between land scale and financial inclusion is strongly negative at the 1% level.

When I first started working with integral field spectroscopic (IFU) data, I was struck by how much complexity was being ...

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...