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The ripening stage of a fruit is a crucial determinant of its quality. Traditional assessment methods for fruit ripeness are often subjective, error-prone, and time-consuming. Therefore, numerous attempts are being made ...

Electromagnetic (EM) sensing is uniquely positioned among nondestructive examination options, which enables us to see clearly targets, even when they visually invisible, and thus has found many valuable applications in s...

Spectral reconstruction, critical for understanding sample composition, is extensively applied in fields like remote sensing, geology, and medical imaging. However, existing spectral reconstruction methods require bulky ...

This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theor...

Materie / parole chiave: transformative ai research, embodied ai, neurosymbolic ai, sensing intelligence and machine learning, deep learning; Technology: Technology (General): Industrial engineering. Management engineering: Information technolog...

Materie / parole chiave: Overfitting; Random forest; Classifier (UML); Computer science; Outlier; Artificial intelligence; Pattern recognition (psychology); Curse of dimensionality; Machine learning; Decision tree; Remote sensing; Data mining

Reservoirs are critical infrastructure for global water, food, and energy security, yet their storage dynamics remain poorly characterized across most of the world. Accurate and timely knowledge of reservoir storage is e...

The agricultural sector contributes significantly to the economic development of nations worldwide. Owing to the population explosion, agriculture must address the complex challenges to meet the growing food demand while...

ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has ...

Direction of arrival (DoA) estimation is a key research focus in array signal processing, and numerous progressive direction-finding algorithms have already been developed. In terms of the development of algorithms, meta...

It is necessary to classify crops throughout the Kharif season for food security and sustainable agriculture. During this time, there are a lot of clouds and rain patterns that are hard to predict, which makes optical sa...

The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most in...

Materie / parole chiave: geosciences, automatic navigation and self-driving technology, smart sensing and the iot, big data, machine learning, cloud and high-performance computation; Geography. Anthropology. Recreation: Geography (General); Tech...