Conventional algorithms

Salinity intrusion forecasting is essential and challenging for hydrometeorology, especially in climate change. Employing machine learning (ML) algorithms and conventional forecasting techniques are gaining popularity and providing high performance. This study presents a method to optimize a machine learning model based on the Long Short-Term Memory (LSTM) algorithm for multistep-ahead salinity forecasting (up to 7 days) at Dai Ngai station, Soc Trang province.

11p dianmotminh02 03-05-2024 2 1   Download

The conventional linear econometric and statistical models are not effective for forecasting the nonlinear and complex nature of crude oil prices. Computational intelligence techniques and hybrid modelling principles have been proposed to address this issue. Multiple forecasts can be combined using linear or nonlinear methods to create an aggregate forecast.

6p viritesh 02-04-2024 3 1   Download

This study presents an innovative method for the selection and design of magnetic cores for DC-DC converters. In contrast to conventional approaches that rely on the Area Product (U`) and involve extensive trial and error, our proposed methodology employs two main key parameters: the Core to Copper Loss Ratio (γ) and the Window Utilization Factor (rd) during the inductor design process.

7p vimichaelfaraday 28-12-2023 7 6   Download

This paper presents an optimal parameterization method for the sliding mode control using the BAT algorithm (a type of swarm optimization algorithms). Simulation results and comparisions conventional sliding mode control on a manipulator robot system demonstrate the effectiveness of this approach.

8p vimichaelfaraday 28-12-2023 11 7   Download

High efficiency and high power density are becoming increasingly popular in the design requirements of power electronic converters. In this paper, the design and optimization method of a three-phase T-type converter are discussed. Loss models of the converter are formulated by the conventional method.

7p vijeff 30-11-2023 9 3   Download

This paper confirms the practical effect of applying Artificial Neural Networks (ANNs) using Radial basis function (RBF) bases on Sliding mode control (SMC) to control nonlinear systems. The proposed algorithm is put into comparison with the super twisting 2-SMC, which was designed to reduce chattering and increase the performance of conventional SMC.

7p vidoctorstrange 06-05-2023 9 5   Download

This paper reports new technologies to improve performance of the Dijkstra algorithm for the path-finding application of the transportation systems. Drawbacks of the conventional searching method are first studied for real-time situations.

8p vidoctorstrange 06-05-2023 4 2   Download

Production of inulin from yam bean tubers by ultrasonic assisted extraction (UAE) was optimized by using response surface methodology (RSM) and genetic algorithms (GA). Yield of inulin was obtained between 11.97%–12.15% for UAE and 11.21%–11.38% for microwave assisted extraction (MAE) using both the methodologies, significantly higher than conventional method (9.9 %) using optimized conditions.

11p viginny 30-12-2022 10 2   Download

This study uses densified mixture design algorithm (DMDA) to design the mixture proportions green mortars incorporating fly ash and ground granulated blast furnace slag (GGBFS). Three green mortar mixtures with various paste contents were designed using the DMDA method while a control cement-based mortar mixture was designed using the conventional method for comparison.

13p haoasakura 30-05-2022 13 1   Download

Simulation-based training is a clinical skill learning method that can replicate real-life situations in an interactive manner. In our study, we compared a novel hybrid learning method with conventional simulation learning in the teaching of endotracheal intubation.

9p viisaacnewton 26-04-2022 6 1   Download

Lecture Embedded systems - Lesson 12: Conventional scheduling algorithms. The main topics covered in this chapter include: scheduling algorithms for non-real-time systems, a metric: average response time, first come first served (FCFS), shortest job first (SJF),...

15p linyanjun_2408 23-04-2022 8 1   Download

Lecture Embedded systems - Lesson 13: (Aperiodic) Real-time scheduling algorithms. The main topics covered in this chapter include: scheduling algorithms for real-time systems, real-time scheduling problem, maximum lateness (metric), earliest due date (EDD), earliest Deadline First (EDF),...

16p linyanjun_2408 23-04-2022 8 1   Download

Tandem repeat (TR) expansion is the underlying cause of over 40 neurological disorders. Long-read sequencing offers an exciting avenue over conventional technologies for detecting TR expansions. Here, we present Straglr, a robust software tool for both targeted genotyping and novel expansion detection from long-read alignments.

20p viarchimedes 26-01-2022 6 0   Download

This paper proposes an optimal design “modern” approach for servomotors. This approach consists of the optimization algorithms at the initial analytical calculations and the modelling of the virtual prototype in order to reduce the costly and time-consuming prototyping loops of the “conventional” design method. The optimal design of a servomotor for robot application is verified by using finite element analysis (FEA) in terms of torque at low to high speeds.

8p spiritedaway36 28-11-2021 5 0   Download

Sequencing-based large screening of RNA-protein and RNA-RNA interactions has enabled the mechanistic study of post-transcriptional RNA processing and sorting, including exosome-mediated RNA secretion. The downstream analysis of RNA binding sites has encouraged the investigation of novel sequence motifs, which resulted in exceptional new challenges for identifying motifs from very short sequences (e.g., small non-coding RNAs or truncated messenger RNAs), where conventional methods tend to be ineffective.

17p vibeauty 23-10-2021 10 0   Download

Antimicrobial peptides are a promising alternative for combating pathogens resistant to conventional antibiotics. Computer-assisted peptide discovery strategies are necessary to automatically assess a significant amount of data by generating models that efficiently classify what an antimicrobial peptide is, before its evaluation in the wet lab.

14p vitzuyu2711 29-09-2021 15 1   Download

The objective function is the total weight of the structure while the strength and serviceability constraints are evaluated with nonlinear inelastic analysis. To save computational cost, an improved differential evolution (DE) algorithm is employed. Compared to the conventional DE algorithm, the proposed method has two major improvements: (1) a self-adaptive mutation strategy based on the p-best method to enhance the balance between global and local searches and (2) use of the multi-comparison technique (MCT) to reduce redundant structural analyses.

6p nguaconbaynhay12 13-06-2021 14 1   Download

This paper investigates the performance of the 1-bit ADC in the wireless coded communication systems where the robust channel coding, protograph low-density parity-check code (LDPC), is employed. The investigation reveals that the performance of the conventional 1-bit ADC with the truncation limit of 3-sigma is severely destroyed by the quantization distortion even when the number of antennas increases to 100.

10p nguaconbaynhay11 07-04-2021 19 2   Download

The objective of this research is to design mixture proportions for high strength concrete with controlled amount of cement and water through the application of densified mixture design algorithm (DMDA) method, which is comparable with conventional method (ACI). Cylindrical concrete specimens in size of 10 × 20 cm were prepared for compressive strength test. The effect of superplasticizer (SP) on workability of fresh concrete is also investigated. Test results indicate that the concrete specimens designed by DMDA method achieve higher compressive strength than that designed by ACI method.

6p trinhthamhodang1218 18-03-2021 29 4   Download

In this paper, source is considered as a single equivalent dipole and genetic algorithm, an efficient and robust optimization method, is proposed to estimate parameters of source. Some improvements are introduced to enhance performance of conventional genetic algorithm.

12p larachdumlanat127 20-12-2020 12 1   Download