Abstract: Aiming at the challenges of high intra-class disparity and low inter-class disparity in fine-grained image classification, a multi-branch fine-grained image classification method based on ...

Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...

ABSTRACT: Organizations ought to manage electronic records efficiently and effectively to achieve quality service delivery. Problems of poor service delivery and corruption in government ministries ...

Background: Growing interest in the Nova food classification system surged among various stakeholders, driven primarily by compelling evidence linking the consumption of ultra-processed foods (UPFs) ...

AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports only homogeneous model collaboration, ...

Background: The imaging characteristics of Hoffa fracture are gradually changing, leading to limitations of the existing classification system and necessitating the development of a novel ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...