The learning of discriminative features is the key for fine-grained image recognition.To better extract effective features and Acai improve the accuracy of fine-grained image recognition, we propose a two-level progressive attention convolutional network (TPA-CNN) for fine-grained image recognition.The model includes a multi-channel attention-fusio
Ganesh Kumar Veeramachaneni, K Kranthi Raj, Leela Madhuri Chalasani, Jayakumar Singh Bondili, Venkateswara Rao Talluri Department of Biotechnology, K L University, Guntur, India Background: Obesity is a progressive metabolic disorder in the current world population, and is characterized by the excess deposition of fat in the adipose tissue.Pancreat
Background: Quality assurance (QA) of echocardiographic studies is vital to ensure that clinicians can act on findings of high quality to deliver excellent patient care.To date, there is a paucity of published guidance on how to perform this QA.The British Society of Echocardiography (BSE) has 6 PIECE BODY CARE KIT previously produced an Echocardio
Renewable energy sources (RESs) are generally connected to the grid through power electronic interfaces, which generate electrical power instantaneously with little inertia.With the increasing penetration of RESs, the 6 PIECE BODY CARE KIT grid will gradually develop into a low inertia and underdamped power system, which results in serious grid fre