Results 121 to 130 of about 1,079,572 (317)

IGWO-MALSTM: An Improved Grey Wolf-Optimized Hybrid LSTM with Multi-Head Attention for Financial Time Series Forecasting

Applied Sciences
In the domain of financial markets, deep learning techniques have emerged as a significant tool for the development of investment strategies. The present study investigates the potential of time series forecasting (TSF) in financial application scenarios,
Mingfu Zhu, Haoran Qi, Panke Qin
doaj   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

A Generalist Reinforcement Learning Agent for Compressing Multiple Convolutional Networks Using Singular Value Decomposition

IEEE Access
Deep learning models have gained popularity in the last decade for computer vision tasks. Although these models are widely used, they process data in cloud services due to requiring large amounts of memory unavailable on consumer devices.
Gabriel Gonzalez-Sahagun, Santiago Enrique Conant-Pablos, Jose Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte   +3 more
doaj   +1 more source

Multiobjective optimization using surrogates

, 2006
Until recently, optimization was regarded as a discipline of rather theoretical interest, with limited real-life applicability due to the comutational or experimental expense involved.
Keane, A.J., Voutchkov, I.
core  

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Optimization of mixed-model assembly line balancing problem with resource constraints

, 2017
In this study, mixed-model assembly line balanuinfi problem is used to- analyze the performance of four evolutionary algorithms (E'As), namely particle swarm optimization (PSO), simulated annealing (SA), ant colony optimization (ACO) and genetic ...
M. M., Razali, M. F. F., Ab Rashid, M.R.A., Make   +2 more
core  

On convergence of the maximum block improvement method

, 2015
. The MBI (maximum block improvement) method is a greedy approach to solving optimization problems where the decision variables can be grouped into a finite number of blocks. Assuming that optimizing over one block of variables while fixing all others is
Shuzhong Zhang, Li, Zhening, Uschmajew, André, Andre ́ Uschmajew, Zhang, Shuzhong, Zhening Li   +5 more
core   +1 more source

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

FEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth, Moritz Koch, Le‐Han Rössner, Johanna Eichhorn, Denys Pogoryelov, Matthias P. Mayer, Jude M. Przyborski   +6 more
wiley   +1 more source

Ego Vehicle Speed Estimation With Automotive Corner Radar Under Velocity Ambiguity Using Optimized MobileNetV3

IEEE Access
Accurate estimation of ego vehicle speed is crucial for autonomous driving and advanced driver-assistance systems (ADAS). However, conventional front-facing radar-based speed estimation methods suffer from challenges such as limited field of view ...
Soyun Lee, Joonseok Yoon, Howon Kim, Jinwoo Kim, Byungkwan Kim   +4 more
doaj   +1 more source

Triggered memory-based swarm optimization in dynamic environments

, 2007
This is a post-print version of this article - Copyright @ 2007 Springer-VerlagIn recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems ...
Wang, H, Wang, X, Yang, S, Xingwei Wang (6019421), Hongfeng Wang, Shengxiang Yang, Dingwei Wang, Shengxiang Yang (7582940), Hongfeng Wang (1767415)   +8 more
core   +1 more source