Results 91 to 100 of about 8,091,241 (406)
Estimating local commuting patterns from geolocated Twitter data
The emergence of large stores of transactional data generated by increasing use of digital devices presents a huge opportunity for policymakers to improve their knowledge of the local environment and thus make more informed and better decisions.
Graham McNeill+2 more
doaj +1 more source
Internet of Things: Architectures, Protocols, and Applications
The Internet of Things (IoT) is defined as a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose.
Pallavi Sethi, S. Sarangi
semanticscholar +1 more source
The Internet has revolutionized the way knowledge is currently produced, stored and disseminated. A few finger clicks on a keyboard can save time and many hours of search in libraries or shopping in stores. Online trademarks with an (e-) prefix such as e-library, e-business, e-health etc., are increasingly part of our daily professional vocabularies ...
openaire +5 more sources
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg+2 more
wiley +1 more source
Studies on video games and well-being often rely on self-report measures or data from a single game. Here, we study how 703 casually engaged US adults’ time spent playing for over 140 000 h across 150 Nintendo Switch games relates to their life ...
Nick Ballou+4 more
doaj +1 more source
Architectural innovation: A game-theoretic approach [PDF]
In this paper, we view the Internet under a game-theoretic lens in an effort to explain and overcome the Internet's innovation slump. Game Theory is used to model Internet environments as problems of technological competition toward the end of understanding their emergent phenomena and the evolutionary forces that shape them.
arxiv
This book constitutes the refereed post-conference proceedings of 4 workshops, held at the 4th International Conference on Internet Science, Thessaloniki, Greece, in November 2017: the Second International Workshop on the Internet for Financial Collective Awareness and Intelligence, IFIN 2017, the International Workshop on Data Economy 2017, the ...
Diplaris, S.+4 more
openaire +2 more sources
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
Taking advantage of motif matrix inference for rotated image indexing and retrieval
With the rapid development of information technology, the sizes of digital libraries become larger and larger. How to quickly and effectively search the desired images in huge digital libraries becomes the challenge needed to resolve with high priority ...
Yi Xu+4 more
doaj +1 more source
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien+8 more
wiley +1 more source