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Antenna design for a massive multiple input environmental sensor network 被引量:2
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作者 J. Craig Prather Michael Bolt +2 位作者 Haley Harrell John Manobianco Mark L. Adams 《Digital Communications and Networks》 SCIE 2016年第4期256-259,共4页
This article describes the design and simulation of a pair of antennas on a small PCB with minimal coupling for a massive multiple input sensor network. The two antennas are planar inverted-F antennas (PIFA) that ar... This article describes the design and simulation of a pair of antennas on a small PCB with minimal coupling for a massive multiple input sensor network. The two antennas are planar inverted-F antennas (PIFA) that are fed with microstrip feed lines. The critical design factors are minimizing mass while creating ISM band and GPS L1 band antennas and developing data transmission schemes for maximum usage of all communication channels. The designed board is a 60 mm diameter, 0.6 mm thick circular FR4 board that weighs approximately 5 g. 展开更多
关键词 ANTENNA Environmental sensing Remote sensing massive multiple input network
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Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders
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作者 Rajwinder Kaur Arvind Kumar Morya +5 位作者 Parul C Gupta Sarita Aggarwal Nitin K Menia Amanjot Kaur Sukhchain Kaur Sony Sinha 《World Journal of Methodology》 2025年第4期147-157,共11页
Artificial intelligence(AI),encompassing machine learning and deep learning,is being extensively used in medical sciences.It is slated to positively impact the diagnosis and prognostication of various diseases.Deep le... Artificial intelligence(AI),encompassing machine learning and deep learning,is being extensively used in medical sciences.It is slated to positively impact the diagnosis and prognostication of various diseases.Deep learning,a subset of AI,has been instrumental in diagnosing diabetic retinopathy(DR),diabetic macular edema,glaucoma,age-related macular degeneration,and numerous other ocular diseases.AI performs equally well in the early prediction of glaucoma and agerelated macular degeneration.Integrating AI with telemedicine promises to improve healthcare delivery,although challenges persist in implementing AI algorithms,especially in deve-loping countries.This review provides a compre hensive summary of AI,its applications in ophthalmology,particularly DR,the diverse algorithms utilized for different ocular conditions,and prospects for the future integration of AI in eye care. 展开更多
关键词 Age-related macular degeneration Alzheimer's disease Artificial intelligence Automatic retinal image analysis Chronic kidney disease Convolutional neural networks Diabetic retinopathy Diabetic macular edema International council of ophthalmology Machine learning massive training artificial neural networks Natural language processing OCT angiography Optical coherence tomography Vision transformers
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