6 hasil untuk "Muhammad Muneeb"
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Artikel Jurnal Teks lengkap
LSTM input timestep optimization using simulated annealing for wind power predictions
Wind energy is one of the renewable energy sources like solar energy, and accurate wind power prediction can help countries deploy wind farms at particular locations yielding more electricity. For any prediction problem, determining the optimal time step (lookback) information is of primary…
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Artikel Jurnal Teks lengkap
An attention-based recurrent learning model for short-term travel time prediction
With the advent of Big Data technology and the Internet of Things, Intelligent Transportation Systems (ITS) have become inevitable for future transportation networks. Travel time prediction (TTP) is an essential part of ITS and plays a pivotal role in congestion avoidance and route planning. The…
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Artikel Jurnal Teks lengkap
Vitamin D and rosuvastatin alleviate type-II diabetes-induced cognitive dysfunction by modulating neuroinflammation and canonical/noncanonical Wnt/β-catenin signaling
Background: Type-II diabetes mellitus (T2DM) is a major risk factor for cognitive impairment. Protecting the brain environment against inflammation, and neurodegeneration, as well as preservation of the BBB veracity through modulating the crosstalk between insulin/AKT/GSK-3β and Wnt/β-catenin…
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Artikel Jurnal Teks lengkap
Short-term solar energy forecasting: Integrated computational intelligence of LSTMs and GRU
Problems with erroneous forecasts of electricity production from solar farms create serious operational, technological, and financial challenges to both Solar farm owners and electricity companies. Accurate prediction results are necessary for efficient spinning reserve planning as well as…
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Artikel Jurnal Teks lengkap
A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming
This study aims to propose a novel and high-accuracy prediction model of plastic limit (PL) based on soil particles passing through sieve # 200 (0.075 mm) using gene expression programming (GEP). PL is used for the classification of fine-grained soils which are particles passing from sieve # 200…
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Artikel Jurnal Teks lengkap
Integrative metagenomics and structural bioinformatics identify explainable gut microbial variants associated with Crohn’s disease
Metagenomics has revealed disease-associated shifts in microbial taxa and functions in inflammatory bowel disease (IBD) patients. However, the role of genomic variation in gut commensals remains poorly understood. Here, we integrated metagenomic profiling, variant calling, and structural…