Results 51 to 60 of about 324,915 (231)

Intelligent multi-objective optimization of thermal comfort and ventilation performance in stratum ventilation design

Scientific Reports
Stratum ventilation (SV) has emerged as a promising approach for simultaneously addressing indoor thermal comfort, airflow effectiveness, and energy efficiency.
Nadia Ghezaiel Hammouda, Zakarya Ahmed, Ihab Omar, As’ad Alizadeh, Narinderjit Singh Sawaran Singh, Borhen Louhichi, Walid Aich, Banafshe Hamidi   +7 more
doaj   +1 more source

Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm

Mathematics
Global carbon dioxide (CO2) emissions are increasing and present substantial environmental sustainability challenges, requiring the development of accurate predictive models.
Amel Ali Alhussan, Marwa Metwally, S. K. Towfek   +2 more
doaj   +1 more source

Fast Cross-Validation via Sequential Testing [PDF]

, 2015
With the increasing size of today's data sets, finding the right parameter configuration in model selection via cross-validation can be an extremely time-consuming task.
Braun, Mikio, Krueger, Tammo, Panknin, Danny   +2 more
core  

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

A Multi-Criteria Decision-Support Tool Based on the MMCP for Sustainable Smart Grid Planning: Application to the Provence-Alpes-Côte d’Azur Region

Energies
This study presents the Multi-Method Convergence Protocol (MMCP), a decision-making framework designed to overcome the mono-objective limitations of HOMER Pro (Hybrid Optimization Model for Electric Renewables) and the instability commonly observed among
Walid Ouled Amor, Youssef Dhieb, Farhan Hameed Malik, Walid Ayadi, Ghulam Amjad Hussain, Moez Ghariani   +5 more
doaj   +1 more source

On the future of astrostatistics: statistical foundations and statistical practice

, 2012
This paper summarizes a presentation for a panel discussion on "The Future of Astrostatistics" held at the Statistical Challenges in Modern Astronomy V conference at Pennsylvania State University in June 2011.
A Gelman, A Webster, B Efron, B Efron, B Jackson, C J Miller, D Lynden-Bell, E D Feigelson, E D Feigelson, E Gosset, E J Zuiderwijk, E L Kaplan, J D Scargle, J G Scott, J. D. Scargle, J. D. Scargle, M J Bayarri, M Jordan, M Schmidt, M Woodroofe, N Meinshausen, R Development Core Team, R Protassov, R Weygaert van de, S M Stigler, Y P Varshni   +25 more
core   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

Attention-Enhanced Hybrid Automatic Modulation Classification for Advanced Wireless Communication Systems: A Deep Learning-Transformer Framework

IEEE Access
The advancement of wireless communication toward beyond fifth-generation (B5G) and sixth-generation (6G) standards demands intelligent and scalable signal processing capable of accurate modulation classification under dynamic and noisy channel conditions.
Sam Ansari, Khawla A. Alnajjar, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny, Abir Hussain, Soliman Mahmoud   +7 more
doaj   +1 more source

The Sequencing Problem in Sequential Investigation Processes [PDF]

Many decision problems in various fields of application can be characterized as diagnostic problems trying to assess the true state (of the world) of given cases.
Jürgen-Peter Kretschmer
core  

Sequential Design for Computer Experiments with a Flexible Bayesian Additive Model [PDF]

, 2012
In computer experiments, a mathematical model implemented on a computer is used to represent complex physical phenomena. These models, known as computer simulators, enable experimental study of a virtual representation of the complex phenomena ...
Chipman, Hugh, Ranjan, Pritam, Wang, Weiwei   +2 more
core