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Articles 1 - 3 of 3
Full-Text Articles in Computer Engineering
Analysis And Implementation Of Quantum Computing Algorithms, Caroline Fedele, Asai Asaithambi Ph.D
Analysis And Implementation Of Quantum Computing Algorithms, Caroline Fedele, Asai Asaithambi Ph.D
Showcase of Osprey Advancements in Research and Scholarship (SOARS)
In this research, we investigate the relationships between classical and quantum computing, and the superior time complexity and memory allocation proposed theoretically for quantum algorithms. This is accomplished by building quantum circuits to represent algorithms and test in a quantum computer simulation. Classical circuit components have been continually reducing in size to the point where they are now being impacted by quantum properties, resulting in the need to investigate quantum computing. The inherent parallelism of quantum computing also allows us to solve problems for which classical computers are inept. The class of intractable problems in computing where the solution can …
Performance Evaluation Of Long Range (Lora) Wireless Rf Technology Blue For The Internet Of Things (Iot) Using Dragino Lora At 915 Mhz, Victor Lopez, Hemani Kaushal, Zornitza Prodanoff
Performance Evaluation Of Long Range (Lora) Wireless Rf Technology Blue For The Internet Of Things (Iot) Using Dragino Lora At 915 Mhz, Victor Lopez, Hemani Kaushal, Zornitza Prodanoff
Showcase of Osprey Advancements in Research and Scholarship (SOARS)
Internet of Things (IoT) is a developing concept that introduces the network of physical sensors which are interconnected to each other. Some sensors are wirelessly connected among themselves and to the internet. Currently, IoT applications demand substantial requirements in terms of Radio Access Network (RAN) such as long-range outdoor coverage, environmental factors, obstructions, interference, power consumption, and many others. Also, the current wireless technologies are not able to satisfy all these requirements simultaneously. Therefore, there is no single wireless standard that would predominate the IoT. However, one relevant wireless radio solution to IoT is known as Long Range Wide Area …
Applied Deep Learning: Automated Segmentation Of White Matter Hyperintensities (Wmh) On Brain Mr Images, Matt Berseth
Applied Deep Learning: Automated Segmentation Of White Matter Hyperintensities (Wmh) On Brain Mr Images, Matt Berseth
DHI Digital Projects Showcase
Small vessel disease plays a crucial role in stroke, dementia, and ageing. White matter hyperintensities (WMH) of vascular origin are one of the main consequences of small vessel disease and well visible on brain MR images. Quantification of WMH volume, location, and shape is of key importance in clinical research studies and likely to find its way into clinical practice; supporting diagnosis, prognosis, and monitoring of treatment for dementia and other neurodegenerative diseases. It has been noted that visual rating of WMH has important limitations and hence a more detailed segmentation of WMH is preferred. Various automated WMH segmentation techniques …