Abstract Model compression is a technique for transforming large neural network models into interval smaller ones.Knowledge distillation (KD) is a crucial model compression technique that involves transferring knowledge from a large teacher model to a lightweight student model.Existing knowledge distillation methods typically facilitate the knowled
Objective: The aim of this study was to explain fruit and vegetable consumption behavior through application of the multi-theory model (MTM) of Custom Shape 2-Layer Wood Sign health behavior change among African American women in Mississippi, USA.Methods: This study utilized a cross sectional design.A 39-item face and content valid questionnaire ba
This paper investigates the potential of leveraging artificial intelligence to automate and optimize the verification process, particularly in generating System Verilog assertions for an Advance Peripheral Bus verification environment using Universal Verification Methodology.Generative artificial intelligence, such as ChatGPT, demonstrated its abil
Objective: To compare frequency of Hyperprolactinemia with Risperidone and Olanzapine in patients with first episode psychosis.Study Design: Randomized controlled trial.Place and Duration of Study: Combined Military Hospital (CMH) Lahore, over a period of six months from Sep 2015 to Feb 2016.Subjects and Methods: Total 60 patients who had psychosis