Results 41 to 50 of about 138,110 (219)

Multi‐objective evolutionary optimization for hardware‐aware neural network pruning

Fundamental Research
Neural network pruning is a popular approach to reducing the computational complexity of deep neural networks. In recent years, as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics, and as new types of ...
Wenjing Hong, Guiying Li, Shengcai Liu, Peng Yang, Ke Tang   +4 more
doaj   +1 more source

A Multi Objective Optimization Approach for Resources Procurement of Bank [PDF]

Journal of Optimization in Industrial Engineering, 2010
Calculating total cast of bank resources procurement methods which include current -free loan deposit, saving interest-free loan deposit, regular and net short-term investment deposit, long-term investment deposit and surety bond cash deposit and ...
amir mohammad-zadeh, naser hamidi, mohammad amin nayebi, yusof ebrahimi-sajas   +3 more
doaj  

Multi‐objective optimization of integrated gas–electricity energy system based on improved multi‐object cuckoo algorithm

Energy Science & Engineering, 2021
With the depletion of sources of primary energy across the world, the prospect of a global energy crisis in the near future has raised considerable concern.
Bowen Yang
doaj   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Multi objective building energy efficiency optimization scheduling by integrating multi objective grey wolf optimizer and long short term memory network

International Journal of Renewable Energy Development
Building energy consumption accounts for a large proportion of the overall energy use in society, and energy-saving optimization scheduling is currently a research hotspot.
Shuibo Deng, Lei Lv
doaj   +1 more source

Pymoo: Multi-Objective Optimization in Python

IEEE Access, 2020
Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, Kalyanmoy Deb
doaj   +1 more source

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Optimum Nozzle Design for a Viscous Liquid by Using Multi-Objective Search Approaches

IEEE Access, 2020
This work deals with the problem of a nozzle design addressed through a multi-objective optimization strategy where governing equations of fluid dynamics model the phenomena.
Victor Dario Cuervo Pinto, Alejandro Rodriguez-Molina, Leonel German Corona-Ramirez, Miguel Gabriel Villarreal-Cervantes   +3 more
doaj   +1 more source