Titlebook: Understanding Kidney Diseases; Hugh C. Rayner,Mark E. Thomas,David V. Milford Book 20202nd edition Springer Nature Switzerland AG 2020 Ren

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Hugh C. Rayner,Mark E. Thomas,David V. Milfordmany areas of activity. Database acquisition systems are designed to store information of any kind (signal or image). In the field of Ophthalmology, these image capturing and processing devices help determine the patient’s individual parameters for glasses’ construction in order to provide comfort a

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Hugh C. Rayner,Mark E. Thomas,David V. Milfordl Frequency Change Ratio (LFCR) as a damage indicator and optimization techniques as a tool of damage identification is proposed. Firstly, simple and multiple damage locations are detected using the concept of LFCR. Secondly, to determine the extent of the damage accurately, an optimization problem

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Hugh C. Rayner,Mark E. Thomas,David V. Milfordeplacement of clinker by highly reactive supplementary cementitious materials such as rice husk ash, metakaolin and silica fume in the production of high performance cementitious materials. In these studies, it was verified that the silica fume agglomerates due to the small size of its particles and

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Hugh C. Rayner,Mark E. Thomas,David V. Milfordaphorical expressions represent a great variety and they are used in conventional metaphors, which we reproduce and comprehend every day, poetic, novel, and Holy Qur’an. The use of metaphor is ubiquitous in natural language text and it is a serious bottleneck in automatic text understanding, and dev

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Hugh C. Rayner,Mark E. Thomas,David V. Milford associated with extensive computing requirements to execute tasks such as object detection. Moreover, executing heavy tasks in a mobile with limited resources takes a long processing time and consumes much energy. This paper presents a computational offloading framework to improve the performance o

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Hugh C. Rayner,Mark E. Thomas,David V. Milfordm and periodic. Therefore, how to more accurately grasp the user’s power consumption behavior has always been an important topic for power researchers. This paper proposes to analyze the correlation between users’ weekly workdays and weekly rest days on the weekly time scale, with working days and w

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