In recent years, the control strategies for autonomous vehicles have undergone significant changes. While various control methods have been implemented, only a few have considered time as a crucial factor. This paper ...
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Sparse Code Multiple Access (SCMA) is a multiple access that has the potential to address the needs of future networks. However, the commonly researched SCMA has a traditional design known as regular SCMA, may have dr...
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This paper proposes an enhancement to the existing Fault Location, Isolation, and Service Restoration (FLISR) system implemented in the Advanced Distribution Management System (ADMS) of PLN Central Java & Yogyakar...
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Since the initial launch of 5G networks in 2018, 5G technology has rapidly expanded to cover about 40% of the world's population, offering higher bandwidth, faster connectivity, and lower latency than 4G. However,...
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As World Health Organization reports show more than 1.3 million people die each year from traffic accidents and more than twenty to fifty million people are harmed by non-fatal accidents. Understanding and identifying...
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Gold is a precious metal that is in great demand by the public as an investment tool. The survey results stated that 58.5% of the 5.204 respondents chose gold as the most desirable investment. Gold has a fluctuating p...
Gold is a precious metal that is in great demand by the public as an investment tool. The survey results stated that 58.5% of the 5.204 respondents chose gold as the most desirable investment. Gold has a fluctuating price. The price of gold can go up and down within a certain period of time. Fluctuations in world gold prices are influenced by economic factors such as supply and demand for gold. Therefore, we need a prediction that is able to estimate the price of gold based on the movement of gold prices in the previous period. This research compares the ability of the Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms in predicting gold prices. This research is expected to obtain an algorithm with the best level of accuracy as a material consideration for investors in making investment decisions. The results of this research state that the Gated Recurrent Unit (GRU) algorithm is better than Long Short-Term Memory (LSTM) in predicting gold prices. The best GRU model uses batch size 8 and epoch 50 to obtain an RMSE of 1464.838, while the best LSTM model uses batch size 32 and epoch 50 to obtain an RMSE of 1469.144.
Robots, in order to understand human commands, could be possible if there is an interaction between them. Possible interaction including the Natural Language, that humans have used to communicate with each other. The ...
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There is a vast diversity of Machine Learning use cases, and both the hardware and the methodology itself are constantly getting better. This article presents a very specific use case - the recognising, classifying, a...
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Reducing pollutant emissions from electricity production in the power system positively impacts the control of greenhouse gas *** kernel search optimizer(BKSO)is introduced in this research to solve the combined econo...
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Reducing pollutant emissions from electricity production in the power system positively impacts the control of greenhouse gas *** kernel search optimizer(BKSO)is introduced in this research to solve the combined economic emission dispatch(CEED)*** by the foraging behavior in the slime mould algorithm(SMA),the kernel matrix of the kernel search optimizer(KSO)is *** proposed BKSO is superior to the standard KSO in terms of exploitation ability,robustness,and convergence *** CEC2013 test function is used to assess the improved KSO's performance and compared to 11 well-known optimization *** performs better in statistical results and convergence *** the same time,BKSO achieves better fuel costs and fewer pollution emissions by testing with four real CEED cases,and the Pareto solution obtained is also better than other *** on the experimental results,BKSO has better performance than other comparable MAs and can provide more economical,robust,and cleaner solutions to CEED problems.
The report investigates the role of power density of melting and evaporation and speed to realize several laser technological processes on copper samples for a fibre laser and a CuBr laser. A methodology has been deve...
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