Results 41 to 50 of about 4,448,600 (255)

Existence of a finite multiplicative search plan with random distances and velocities to find a d-dimensional Brownian target

Journal of Taibah University for Science, 2019
We present the existence of a finite search plan to find Brownian target on the d-space by using d-searchers. Each searcher moves continuously in both directions of the origin (starting point) of the line (field of its search) with random distances and ...
Mohamed Abd Allah El-Hadidy, Alaa Awad Alzulaibani   +1 more
doaj   +1 more source

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, Benling Li, Peng Li, Rubo Zhang   +3 more
doaj   +1 more source

Neurocognitive, School‐Based, and Quality of Life Outcomes for Youth With Sickle Cell Disease and Thalassemia: A Scoping Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling, Hakim Tokhi, Alexander A. Boucher   +2 more
wiley   +1 more source

Optimization Algorithm for Cutting Masonry with a Robotic Saw

Applied Sciences
The 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, Michal Kovářík, Rostislav Šulc, Čeněk Jarský   +3 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

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, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Machine Learning-Based Energy Consumption and Carbon Footprint Forecasting in Urban Rail Transit Systems

Applied Sciences
In 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
doaj   +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

Comparison of N-BEATS with Standalone and Hybrid Deep Learning Models in Monthly Inflow Forecasting to the Aras Dam Reservoir: A Feature Selection Analysis

Journal of Agricultural Sciences
Reservoir dams play a pivotal role in water resource management. Accurate prediction of inflow to reservoirs significantly enhances operational performance.
Elman Athari, Mohammad Taghi Aalami, Mohammad Taghi Sattari   +2 more
doaj   +1 more source

Solving process planning and weighted scheduling with WNOPPT weighted due-date assignment problem using some pure and hybrid meta-heuristics

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

Random Search Plus: A more effective random search for machine learning hyperparameters optimization [PDF]

, 2020
Machine learning hyperparameter optimization has always been the key to improve model performance. There are many methods of hyperparameter optimization.
Li, Bohan
core