Electrical machines, induction motors in particular, play a key role in domestic and industrial applications.They act as a work horse in almost every industry and are responsible for a big proportion of total generated electricity consumption SU/OIL worldwide.The faults in induction motors are degenerative in nature and can lead to a catastrophic s
Development of cold acclimation in crops involves transcriptomic reprograming, metabolic shift, and physiological changes.Cold responses in transcriptome and lipid metabolism has been examined in separate studies for various crops.In this Pliers study, integrated computational approaches was employed to investigate the transcriptomics and lipidomic
Age is a predisposing condition for susceptibility to chronic kidney disease and progression as well as acute kidney injury that may arise due to the adverse effects of some drugs.Age-related differences in kidney biology, therefore, are a key concern in understanding drug safety and disease progression.We hypothesize that the underlying suite of g
Recently, some state-of-the-art works have used deep learning-based architectures, specifically convolutional neural networks (CNNs), for banknote recognition and copyright detection with promising results.However, it is not clear which design strategy is more appropriate (custom or by transfer learning) in terms of classifier performance and infer
In the field of natural language processing (NLP), prompt-based learning is widely used for efficient parameter learning.However, this method has the necklace drawback of shortening the input length by the extent of the attached prompt, leading to the inefficient utilization of the input space.In this study, we propose P-Distill, a novel prompt com