The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

Plant diseases cause significant damage to agriculture, leading to substantial yield losses
and posing a major threat to food security. Detection, identification, quantification, and …

Hyperspectral image (HSI) classification plays a crucial role in remote sensing (RS)
applications, enabling the precise identification of materials and land cover based on …

Early and accurate detection and classification of glioma types is of paramount importance
in determining treatment planning and increasing the survival rate of patients. At present …

Federated learning is a renowned technique for utilizing decentralized data while preserving
privacy. However, real-world applications often face challenges like partially labeled …

The future manufacturing system must be capable of supporting customized mass
production while reducing cost and must be flexible enough to accommodate market …

In diagnostics, accurate and timely identification of brain tumors can influence the outcome
of the patient's treatment plan and prognosis. This research proposes RanMer-Former, a …

Background Social media posts that portray va** in positive social contexts shape
people's perceptions and serve to normalize va**. Despite restrictions on depicting or …

Preliminary damage assessments (PDA) conducted in the aftermath of a disaster are a key
first step in ensuring a resilient recovery. Conventional door-to-door inspection practices are …