LEVERAGING EDGE COMPUTING AND DEEP LEARNING FOR THE REAL-TIME IDENTIFICATION OF BEAN PLANT PATHOLOGIESBEAN PLANT PATHOLOGIES DATASET FOR DEEP LEARNING TASKS

Leveraging edge computing and deep learning for the real-time identification of bean plant pathologiesBean Plant Pathologies Dataset for Deep Learning Tasks

Beans are essential crops globally, standing out as one of the most consumed and nourishing legumes, thereby playing a significant role in human nutrition and food security.Their cultivation faces several challenges, such as pests, diseases, unpredictable weather patterns, and soil erosion.Of these challenges, diseases are recognized as a key chall

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Undrained stability of braced excavations in clay considering the nonstationary random field of undrained shear strength

Abstract The basal heave stability of supported excavations is an essential problem in geotechnical engineering.This paper considers the probabilistic analysis of basal heave stability of supported excavations with spatially random soils by employing the random adaptive finite element limit analysis and Monte Carlo simulations to simulate all possi

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