Results 51 to 60 of about 16,908,993 (362)

Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method [PDF]

E3S Web of Conferences
Future predictions of precipitation are highly important for effective water resources management. The Global circulation models (GCMs) are commonly used to make such predictions.
Abdullahi Jazuli, Tahsin Ala, Yesilnacar Mehmet Irfan, Karabulut Abdullah İzzeddin, Daramola Oluwatoyin   +4 more
doaj   +1 more source

Artificial neural networks for performance prediction of full-scale wastewater treatment plants: a systematic review

Water Science and Technology, 2023
Wastewater treatment plants (WWTPs) are complex systems that must maintain high levels of performance to achieve adequate effluent quality to protect the environment and public health.
Marina Salim Dantas, Cristiano Christofaro, Sílvia Corrêa Oliveira   +2 more
doaj   +1 more source

Power scalable implementation of artificial neural networks

, 2005
As the use of Artificial Neural Network (ANN) in mobile embedded devices gets more pervasive, power consumption of ANN hardware is becoming a major limiting factor. Although considerable research efforts are now directed towards low-power implementations
Brown, Andrew, Modi, Sankalp, Wilson, Peter   +2 more
core   +1 more source

Artificial neural networks for controlling the temperature of internally cooled turning tools [PDF]

, 2013
Copyright @ 2013 Scientific Research PublishingBy eliminating the need for externally applied coolant, internally cooled turning tools offer potential health, safety and cost benefits in many types of machining operation.
Fϋrstmann, P, Ghani, SBC, Minton, T, Richarz, S, Roeder, M, Sammler, F, Wardle, F   +6 more
core   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Predicting Mechanical Strength and Optimized Parameters in FDM-Printed Polylactic Acid Parts Via Artificial Neural Networks and Desirability Analysis

Management Systems in Production Engineering
Fused deposition modeling (FDM) is a commonly used additive manufacturing (AM) technique in both domestic and industrial end-product fabrications.
Abdulridha Hind H., Abbas Tahseen F., Bedan Aqeel S.   +2 more
doaj   +1 more source

Modeling influence of weather variables on energy consumption in an agricultural research institute in Ibadan, Nigeria

AIMS Energy
Climate change is having a significant impact on weather variables like temperature, humidity, precipitation, solar radiation, daylight duration, wind speed, etc.
Rahaman Abu , John Amakor , Rasaq Kazeem, Temilola Olugasa, Olusegun Ajide, Nosa Idusuyi, Tien-Chien Jen, Esther Akinlabi   +7 more
doaj   +1 more source

توسعه شبکه عصبی مصنوعی و الگوریتم ازدحام ذرات برای پیش‌بینی جریان ورودی به سدها تحت تأثیر سناریوهای اقلیمی [PDF]

مدیریت آب و آبیاری
تغییر اقلیم با ایجاد تغییر در میزان دما و بارش موجب تغییر در آبدهی رودخانه‏‏ها می‌شود. از این‌رو، شبیه‏‏سازی جریان رودخانه به‌عنوان پیش‏‏نیاز برنامه‌ریزی و مدیریت منابع و مصارف آب ‌اهمیت فراوان دارد.
مهرنوش هدایتی زاده, سعید جمالی, هومن حاجی کندی, سمیه یوسفی   +3 more
doaj   +1 more source

Mucky Ann [PDF]

, 2006
Mucky Ann is about a spate of graffiti I encountered in Sheffield. The essay and some photographs appear in The Eccentric City, a publication conceived and edited by Harry Palmer and Si ...
Lee, J
core  

Nonparametric inference in generalized functional linear models [PDF]

, 2015
We propose a roughness regularization approach in making nonparametric inference for generalized functional linear models. In a reproducing kernel Hilbert space framework, we construct asymptotically valid confidence intervals for regression mean ...
Cheng, Guang, Shang, Zuofeng
core   +1 more source