Results 21 to 30 of about 1,360,005 (310)

Deal or No Deal?

Significance, 2006
Abstract Deal or No Deal? , a game show fronted in the UK by TV smoothie Noel Edmonds, has been a surprise hit of TV scheduling. In the interests of statistical analysis Linda Wolstenholme sat through 30 hours of recordings of daytime television. With John Haigh she tells us what competitors should do to win.
Linda Wolstenholme, John Haigh
openaire   +1 more source

A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Classification

Journal of Imaging
Accurate analysis of medical videos remains a major challenge in deep learning (DL) due to the need for effective spatiotemporal feature mapping that captures both spatial detail and temporal dynamics.
Mrinal Kanti Dhar, Mou Deb, Poonguzhali Elangovan, Keerthy Gopalakrishnan, Divyanshi Sood, Avneet Kaur, Charmy Parikh, Swetha Rapolu, Gianeshwaree Alias Rachna Panjwani, Rabiah Aslam Ansari, Naghmeh Asadimanesh, Shiva Sankari Karuppiah, Scott A. Helgeson, Venkata S. Akshintala, Shivaram P. Arunachalam   +14 more
doaj   +1 more source

AGMB 2019: Gemeinsam neue Wege gestalten

GMS Medizin – Bibliothek – Information, 2019
The focus of the current issue 3/2019 of GMS Medizin – Bibliothek – Information is the annual conference 2019 of the German Medical Libraries Association in Göttingen. The motto of the conference was “AGMB 2019: Shaping new paths together”.
Bauer, Bruno
doaj   +1 more source

Two-stage capacity optimization approach of multi-energy system considering its optimal operation

Energy and AI, 2020
With the depletion of fossil fuel and climate change, multi-energy systems have attracted widespread attention in buildings. Multi-energy systems, fuelled by renewable energy, including solar and biomass energy, are gaining increasing adoption in ...
X.J. Luo, Lukumon O. Oyedele, Olugbenga O. Akinade, Anuoluwapo O. Ajayi   +3 more
doaj   +1 more source

No-Deal Brexit – Views from the EU Capitals [PDF]

Научно-аналитический вестник Института Европы РАН, 2019
The article considers positions of EU members-states in light of a possible no-deal Brexit. Meanwhile the majority of EU leaders believe that the concessions to the country set to leave the European Union will create a dangerous precedent for the ...
Kira Godovanyuk
doaj   +1 more source

Blood Pressure Variability (BPV) as a Novel Digital Biomarker of Multisystem Risk and Diagnostic Insight: Measurement, Mechanisms, and Emerging Artificial Intelligence Methods

Biomedicines
Hypertension has been traditionally known to be highlighted by mean blood pressure; however, emerging evidence exhibits that blood pressure variability (BPV), including short-term, day-to-day, and visit-to-visit fluctuations can have an implication ...
Lakshmi Sree Pugalenthi, Sidhartha Gautam Senapati, Jay Gohri, Hema Latha Anam, Hritik Madan, Adi Arora, Avni Arora, Jieun Lee, Gayathri Yerrapragada, Poonguzhali Elangovan, Mohammed Naveed Shariff, Thangeswaran Natarajan, Jayarajasekaran Janarthanan, Shreshta Agarwal, Shiva Sankari Karuppiah, Divyanshi Sood, Swetha Rapolu, Vivek N. Iyer, Scott A. Helgeson, Shivaram P. Arunachalam   +19 more
doaj   +1 more source

Offsite Construction for Emergencies: A focus on Isolation Space Creation (ISC) measures for the COVID-19 pandemic

Progress in Disaster Science, 2020
The outbreak of a pandemic of global concern, the Corona Virus Disease 2019 (COVID-19) has tested the capacity of healthcare facilities to the brim in many developed countries.
Abdul-Quayyum Gbadamosi, Lukumon Oyedele, Oladimeji Olawale, Sofiat Abioye   +3 more
doaj   +1 more source

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings

Energy and AI, 2020
A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom.
X.J. Luo, Lukumon O. Oyedele, Anuoluwapo O. Ajayi, Olugbenga O. Akinade, Juan Manuel Davila Delgado, Hakeem A. Owolabi, Ashraf Ahmed   +6 more
doaj   +1 more source

Claudin‐6 Protein Expression in Atypical Teratoid/Rhabdoid Tumors Is Strongly Enriched in the Molecular Subgroup AT/RT‐TYR

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke, Christian Thomas, Michael C. Frühwald, Pascal D. Johann, Martin Hasselblatt   +4 more
wiley   +1 more source

A self-adaptive deep learning model for building electricity load prediction with moving horizon

Machine Learning with Applications, 2022
A self-adaptive deep learning model powered by ranking selection-based particle swarm optimisation (RSPSO) is developed to predict electricity load in buildings with moving horizons.
Xiaojun Luo, Lukumon O. Oyedele
doaj   +1 more source