The detection of surface defects on printed circuit board (PCB) plays a vital role.However, current defect detection methods face significant challenges, such as frequently misidentifying non-defective areas as defects, low defect recognition capability, and diminished accuracy in identifying minor defects.To address these challenges, a novel defec
Monarch butterfly optimization (MBO) algorithm is a newly-developed metaheuristic approach that has shown striking performance on several benchmark problems.In order to enhance the performance of MBO, many scholars proposed various strategies for benchmark evaluation and practical applications.As an application of artificial intelligence (AI), mach
Osteoarthritis (OA) is a progressive disease associated with cartilage injury and its inherently limited repair capability.Synovium-based cellular constructs (sConstructs) are proposed as possible treatments.Equine sConstructs were produced from decellularized synovium-based extracellular matrix scaffolds (sECM) seeded with synovium-derived mesench
BackgroundLeptospirosis is one of the most significant zoonoses across the world not only because of its impact on human and animal health but also because of the economic and social impact on agrarian communities.Leptospirosis is endemic in Sri Lanka where paddy farming activities, the use of draught animals in agriculture, and peridomestic animal
The resources available for managing disease epidemics - whether in animals, plants or humans - are limited by a range of practical and financial constraints.Optimal control has been widely explored for optimising allocation of these resources to maximise their impact.The most common approach assumes a deterministic, continuous model to approximate