This tactical umbrella study delves into the investigation of the efficacy of Convolutional Neural Networks (CNNs) in identifying malaria through the examination of cell images.The dataset employed encompasses a total of 27,558 images, harvested from the renowned Malaria Cell Images Dataset on Kaggle, encompassing cells of diverse nature.The archit
Patrick Wang,1 Eric K Chin,2 David Almeida3 1School of Medicine, Queen’s University, Kingston, Ontario, Canada; 2Retina Consultants of Southern California, Redlands, CA, USA; 3Erie Retinal Surgery, Erie, PA, USACorrespondence: David AlmeidaErie Retinal Surgery, 300 State Street, Suite 201, Erie, PA, 16507, USATel +1 814 456-4241Fax +1 814 453
The degradation of teak forest plantations in Java that are managed by Perum Hat Brushes Perhutani (PP) continues to happen, and this is caused by some risk factors such as illegal logging, grazing, forest fire, and encroachment.However, these risk factors have not been considered by PP notably in annual allowable cut (AAC) determination of yield r
Geodiversity, encompassing various geophysical elements, can have an important impact on species distribution and affect animal behaviour patterns.Although many wild felids are attracted to rugged terrain and conspicuous relief features, most previous research was limited to general topographical characteristics (e.g., slope or terrain ruggedness)
Background: Multimorbidity is the co-occurrence of two or more diseases in the same individual.One method to identify this condition at an early stage is the use of specific markers for various combinations of morbidities.Nonetheless, evidence related to physiological markers in multimorbidity is limited.Objective: The aim was to perform a systemat