Results 51 to 60 of about 411,065 (301)

Greed Works -- Online Algorithms For Unrelated Machine Stochastic Scheduling [PDF]

open access: yes, 2020
This paper establishes performance guarantees for online algorithms that schedule stochastic, nonpreemptive jobs on unrelated machines to minimize the expected total weighted completion time.
Gupta, Varun   +3 more
core   +4 more sources

Gold eagle optimization algorithm to solve short term hydrothermal scheduling problem

open access: yesEnergy Exploration & Exploitation
Short-term hydrothermal generation scheduling (SHS), which accounts for diverse hydraulic and electrical restrictions, is a challenging non-convex optimization challenge.
Ali Thaeer Hammid   +5 more
doaj   +1 more source

Short-term hydro -thermal scheduling with Artificial Bee Colony [PDF]

open access: yes2012 International Conference on Machine Learning and Cybernetics, 2012
This paper reported the use of artificial bee colony to short-term hydro-thermal scheduling problem. Simulation studies demonstrated that it is possible to find a workable solution and the approach to implement the algorithm will be discussed too.
Shaik, S   +4 more
openaire   +2 more sources

Hierarchical Radio Resource Optimization for Heterogeneous Networks with Enhanced Inter-cell Interference Coordination (eICIC)

open access: yes, 2013
Interference is a major performance bottleneck in Heterogeneous Network (HetNet) due to its multi-tier topological structure. We propose almost blank resource block (ABRB) for interference control in HetNet.
Chen, Junting   +4 more
core   +2 more sources

Feasibility and Preliminary Efficacy of Integrative Neuromuscular Training for Childhood Cancer Survivors: A Pilot Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian   +7 more
wiley   +1 more source

Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

open access: yes, 2019
The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the operation of a ...
D Alahakoon   +14 more
core   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi   +5 more
wiley   +1 more source

Energy Economic Management of Hybrid Energy System Based on Short-term Generation and Demand Response

open access: yesEnvironmental and Climate Technologies, 2020
Energy economic management based on economic principles and demand response (DR) is one of the significant issues for consumers and Distribution Companies (DisCos).
Chamandoust Heydar, Peyvand Neda
doaj   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

Research on throughput prediction of 5G network based on LSTM

open access: yesIntelligent and Converged Networks, 2022
This paper proposes a wireless network traffic prediction model based on long-term and short-term memory cyclic neural networks. Through simulation experiments, the throughput prediction of 5G wireless networks using different scheduling algorithms for ...
Lanlan Li, Tao Ye
doaj   +1 more source

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