Accurate and rapid identification of apple leaf diseases is the basis for preventing and treating apple diseases.However, it is challenging to identify apple leaf diseases due to their various symptoms, different colors, irregular shapes, uneven sizes, and complex backgrounds.To reduce computational cost and improve training results, a dilated conv
Abstract Background Spindle cell lipoma is a benign adipocytic tumour, commonly occuring in the subcutis of posterior neck, upper back and shoulder, particularly in middle aged males.It is often composed of relatively equal ratio of fat and spindle cells, yet either component may predominate.Because of its Fake Lashes variable ratio, a spindle cell
Anterior insula (AI) and dorsal ACC (dACC) are known to process information about pain, loss, adversities, bad, harmful or suboptimal choices and consequences that threaten survival or well-being.Also pregenual ACC (pgACC) is linked to loss and pain, being activated by sad thoughts and regrets.Lateral habenula (LHb) is stimulated by predicted and r
ABSTRACT Caseous necrosis is a hallmark of tuberculosis (TB) pathology and creates a niche for drug-tolerant persisters within the host.Cavitary TB and high bacterial burden in caseum require longer treatment duration.An in vitro model that recapitulates the major features of Mycobacterium tuberculosis (Mtb) in caseum would accelerate the identific
Sensor faults can produce abnormal and spurious observations in the solar insecticidal lamp Internet of Things (SIL-IoTs) system.Early detection and identification of the sensor node’s abnormality are critical to ensure the SIL-IoTs system’s reliability.In this study, we propose a lightweight separable 1D convolution neural network th