FM-DLM: A new method for image classification based on the fusion of multi-level deep learning models. [PDF]
Jin G, Li H, Du H, Song Q.
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Comparative Evaluation of Smartphone‐Based Fundus Imaging Systems in Dogs and Cats
ABSTRACT Objective To compare the feasibility, image quality, acquisition time, and evaluator preference of four smartphone‐based fundus imaging (SBFI) systems in dogs and cats using a handheld fundus camera as a reference device. Animals Studied Twenty client‐owned animals, including 10 dogs and 10 cats.
Bertrand Michaud
wiley +1 more source
Integrating optical and radar satellite data for conflict-related change detection in Ukraine. [PDF]
Karwowska K +4 more
europepmc +1 more source
Exploring the relationship between space weather conditions and power performance of EgyptSat-1 using machine learning. [PDF]
Elfiky D +5 more
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Remote Sensing Applications in Medicinal Plant Monitoring and Quality Assessment: A Review. [PDF]
Wang Z +6 more
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An optimized transfer learning approach integrating deep convolutional feature extractors for malaria parasite classification in erythrocyte microscopy. [PDF]
Reddy CKK +6 more
europepmc +1 more source
Early Recognition and Intervention for Poststroke Spasticity: A Scientific Statement From the American Heart Association. [PDF]
Bandela S +11 more
europepmc +1 more source
Antarctic science operations must account for climate change and extreme environmental events. [PDF]
Siegert M +5 more
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A Javascript Voting Client for Remote Online Voting
Communications in Computer and Information Science, 2017Remote electronic voting systems enable elections where voters can vote remotely without geographical constraints using their own devices, e.g. smartphones, PCs or other Internet connected devices. Online voting systems have a set of security requirements focused on ensuring at least the same properties of traditional voting scenarios. Specifically, in
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