Results 21 to 30 of about 5,374,884 (305)

Institutional framework of state property pledge in nizhniy Novgorod Rregion [PDF]

Экономика региона, 2012
Collateral legal relations are an important factor of the investment process development. They reduce opportunistic loan risks and increase partners’ confidence within the transaction. The mortgage fund of Nizhniy Novgorod region is nowadays involved in
Tat'yana Nikolaevna Danilova, Mariya Nikolaevna Lamottke, Ol'ga L'vovna Guseva   +2 more
doaj   +1 more source

Early to Mature, Early to Detect: Artificial Intelligence in the Risk Prediction and Diagnosis of Precocious Puberty

Reproductive Medicine
Background/Objectives: Precocious puberty (PP), defined as the onset of secondary sexual characteristics before 8 years in girls and 9 years in boys, is associated with psychosocial distress, compromised adult height, and long-term metabolic risk.
Manisha Chavan, Sameena Tabassum, Divya Dinesh Joshi, Kusalik Boppana, Nasreen Banu, Riya Kayarkar, Kalp Chauhan, Gayathri Yerrapragada, Poonguzhali Elangovan, Mohammed Naveed Shariff, Thangeswaran Natarajan, Jayarajasekaran Janarthanan, Shreshta Agarwal, Sancia Mary Jerold Wilson, Mini Virmani, Atishya Ghosh, Mimi Adu Serwaah, Shiva Sankari Karuppiah, Keerthy Gopalakrishnan, Divyanshi Sood, Swetha Rapolu, Swathi Priya Cherukuri, Shivaram P. Arunachalam   +22 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

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

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

Brexit: deal or no deal? [PDF]

Lancet, The, 2019
exaly   +3 more sources

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

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

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