Results 61 to 70 of about 12,241,994 (329)
Research on stock trend prediction method based on optimized random forest
CAAI Transactions on Intelligence Technology, 2023 As a complex hot problem in the financial field, stock trend forecasting uses a large amount of data and many related indicators; hence it is difficult to obtain sustainable and effective results only by relying on empirical analysis.
Lili Yin +3 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
Modeling a random search [PDF]
, 1975 A model for random search is considered which differs from the classical random search by modeling the random paths of the searcher and/or target as those of a Wiener process.
Shubert, Bruno O.
core +2 more sources
LSTM: A Search Space Odyssey [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2015 Several variants of the long short-term memory (LSTM) architecture for recurrent neural networks have been proposed since its inception in 1995. In recent years, these networks have become the state-of-the-art models for a variety of machine learning ...
Klaus Greff +4 more
semanticscholar +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Optimization Algorithm for Cutting Masonry with a Robotic Saw
Applied SciencesThe contribution of this study is in the novel application of the bin packing algorithm that is used to optimize the robotic bricklaying process with the aim of minimizing the wearing of a robotic saw used for splitting brick blocks so as to minimize ...
Vjačeslav Usmanov +3 more
doaj +1 more source
Journal of Computational and Applied Mathematics, 2018 The Accelerated Random Search (ARS) algorithm (Appel et al., 2004) is a stochastic algorithm for the global optimization of black-box functions subject only to bound constraints. ARS iteratively samples uniformly within a box centered at the current best
L. Nuñez, R. Regis, Kayla Varela
semanticscholar +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Applied SciencesIn the fight against global climate change, the transportation sector is of critical importance because it is one of the major causes of total greenhouse gas emissions worldwide. Although urban rail transit systems offer a lower carbon footprint compared
Sertaç Savaş, Kamber Külahcı
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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017 If we search literature for integrated process planning and scheduling problem and for scheduling with due date assignment problem we can find hundreds of researches made on these problems.
Halil İbrahim Demir, Caner Erden
doaj +1 more source