Zobrazeno 1 - 10
of 808
pro vyhledávání: '"Richard, Hill"'
Publikováno v:
Energy Strategy Reviews, Vol 56, Iss , Pp 101560- (2024)
Energy efficiency in buildings is an essential aspect of sustainable development and efforts to mitigate climate change. Integrated energy management has the capacity to greatly improve energy efficiency at several levels, but it requires the sharing
Externí odkaz:
https://doaj.org/article/13b818aa44df43c9aab5223aa5899ccc
Autor:
Richard Hill, Grant D. Stentiford, David I. Walker, Craig Baker-Austin, Georgia Ward, Benjamin H. Maskrey, Ronny van Aerle, David Verner-Jeffreys, Edmund Peeler, David Bass
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-6 (2024)
Abstract One Health is a recognition of the shared environment inhabited by humans, animals and plants, and the impact of their interactions on the health of all organisms. The COVID-19 pandemic highlighted the need for a framework of pathogen survei
Externí odkaz:
https://doaj.org/article/7835bc8ad69c4171bfffce484bc40d76
Autor:
R. Somashekhar, Preenon Bagchi, Kirthi S. Jawalkar, G. Dhanalakshmi, Richard Hill, Sanjay N. Harke
This is an open access book. We are pleased to announce our Springer International Conference on Advances in Nano-Neuro-Bio-Quantum (I-CAN – 2023) which will be a unique conference where we will connect Biological Function through Computational sc
Publikováno v:
IEEE Access, Vol 12, Pp 94250-94295 (2024)
Quality inspection and defect detection remain critical challenges across diverse industrial applications. Driven by advancements in Deep Learning, Convolutional Neural Networks (CNNs) have revolutionized Computer Vision, enabling breakthroughs in im
Externí odkaz:
https://doaj.org/article/79438778d0e54201908df81170410c98
Autor:
Richard Hill, Grant D. Stentiford, David I. Walker, Craig Baker-Austin, Georgia Ward, Benjamin H. Maskrey, Ronny van Aerle, David Verner-Jeffreys, Edmund Peeler, David Bass
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/d0ba3a945f0d4c06905badae5d8f151a
Publikováno v:
Cogent Public Health, Vol 10, Iss 1 (2023)
Abstract: Alcohol use disorders are a major contributor to morbidity and mortality across the globe. Binge drinking and suicide have a high prevalence in northern latitudes, including Canada, Alaska, Greenland, and northern Europe. Many factors are a
Externí odkaz:
https://doaj.org/article/d1af65c63f7e4beab0a502428ef8acb8
Publikováno v:
IEEE Access, Vol 11, Pp 102935-102943 (2023)
Noticeable growth in the use of intelligent devices has resulted in the generation of vast amounts of data from sensor devices. When dealing with large amounts of data, it is common to observe databases with large amounts of missing values. This is a
Externí odkaz:
https://doaj.org/article/e2c6ef8c3ca7439187fa70f3e1a71ea9
Publikováno v:
IEEE Access, Vol 11, Pp 83934-83945 (2023)
This paper presents a framework for the automated detection of Exudates, an early sign of Diabetic Retinopathy. The paper introduces a classification-extraction-superimposition (CES) mechanism for enabling the generation of representative exudate sam
Externí odkaz:
https://doaj.org/article/0377e09e42b0456a85a2d549a4cbb6bd
Autor:
Shamaila Iram, Hussain Al-Aqrabi, Hafiz Muhammad Shakeel, Hafiz Muhammad Athar Farid, Muhammad Riaz, Richard Hill, Prabanchan Vethathir, Tariq Alsboui
Publikováno v:
IEEE Access, Vol 11, Pp 76300-76320 (2023)
The prediction of energy consumption plays a significant role in energy conservation and reducing the cost of power generation, to improve energy sustainability and economic stability. Current studies show an increased interest in the application of
Externí odkaz:
https://doaj.org/article/9ce4e50851d14749bac6990bda3a70e1
Autor:
Muhammad Hussain, Richard Hill
Publikováno v:
IEEE Access, Vol 11, Pp 58879-58889 (2023)
This paper proposes a Convolutional Neural Network–Block Development Mechanism (CNN-BDM) enabling the development of a lightweight deep learning architecture for the detection of damaged pallet-racking, within the manufacturing/warehousing environm
Externí odkaz:
https://doaj.org/article/c4ed73453ab34e0cb8b3cf72e2bdf28f