Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mohamed R. Ibrahim"'
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 10, Pp 1331-1344 (2021)
Abstract Cycling is a promising sustainable mode for commuting and leisure in cities. However, the perception of cycling as a risky activity reduces its wide expansion as a commuting mode. A novel method called CyclingNet has been introduced here for
Externí odkaz:
https://doaj.org/article/d68e09e25e7b4daaa2755a372039ebda
Publikováno v:
Geo-spatial Information Science, Vol 24, Iss 4, Pp 711-721 (2021)
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility. Here, we propose a framework, ActivityNET, using Machine Learning (ML) algor
Externí odkaz:
https://doaj.org/article/98c0473e7a1f43c2a4f0248e73a5b78e
A dataset of housing market and self-attitudes towards housing location choices in Alexandria, Egypt
Autor:
Mohamed R. Ibrahim
Publikováno v:
Data in Brief, Vol 11, Iss C, Pp 543-545 (2017)
A survey, of sample size 224, is designed to include the different related-factors to housing location choice, such as; socioeconomic factors, housing characteristics, travel behavior, current self-selection factors, housing demand and future locatio
Externí odkaz:
https://doaj.org/article/389846c3ee2d4fb5aaf64f8e449196d0
Publikováno v:
Waste and Biomass Valorization. 12:4845-4857
Algae are used as one of important medical sources for its therapeutic properties; and edible algae are acknowledged as complete foods which provide right balance of proteins, carbohydrates, vitamins, mineral salts, carotenoids, and antioxidants. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::910e0e94b51bf19c7d9267975c7b56d5
https://doi.org/10.1007/s12649-021-01349-6
https://doi.org/10.1007/s12649-021-01349-6
Publikováno v:
Urban Forum. 32:261-287
The present paper attempts to fill a part of the gap in the studies on residential location choices and their relations to urban mobility, socio-economics, and the built environment by presenting the results of a study on Alexandria, Egypt, by analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e889f4bc53136712d28458d2f419e17d
https://doi.org/10.1007/s12132-020-09414-4
https://doi.org/10.1007/s12132-020-09414-4
Publikováno v:
Transport Reviews. 41:304-328
Whether for commuting or leisure, cycling is a growing transport mode in many countries. However, cycling is still perceived by many as a dangerous activity. Because the mode share of cycling tends...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45440b2ae5b4963122f7222deacb5368
https://doi.org/10.1080/01441647.2020.1840456
https://doi.org/10.1080/01441647.2020.1840456
Publikováno v:
Bulletin of the Faculty of Engineering. Mansoura University. 40:72-85
A transient 2D model of Valve-less micro-pump is constructed and used to study pump performance under different conditions through numerical simulation. Operating conditions, design parameters and fluid properties effect on the micro pump net flow ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115f26072cfadbdd9d930700db7abbc1
https://doi.org/10.21608/bfemu.2020.102397
https://doi.org/10.21608/bfemu.2020.102397
Publikováno v:
Environment and Planning B: Urban Analytics and City Science. 48:76-93
Within the burgeoning expansion of deep learning and computer vision across the different fields of science, when it comes to urban development, deep learning and computer vision applications are still limited towards the notions of smart cities and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d794afe2b582bf4ef46e6b59326306d2
https://doi.org/10.1177/2399808319846517
https://doi.org/10.1177/2399808319846517
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners investigating travel behaviours, and mobility research in urban areas. Here we propose a framework, ActivityNET, using machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3733d22e84cdab76f1c0200c29c24bd
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 10, Pp 1331-1344 (2021)
Cycling is a promising sustainable mode for commuting and leisure in cities, however, the fear of getting hit or fall reduces its wide expansion as a commuting mode. In this paper, we introduce a novel method called CyclingNet for detecting cycling n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dfce6a0ef86e41b73d18bcc707bf61e
http://arxiv.org/abs/2102.00565
http://arxiv.org/abs/2102.00565