Browse Items (26 total)
- Collection: VOL. 23, NO.6 2025
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The effectiveness of bentonite in reducing soil resistance in acidic water swampland
This study aims to evaluate the effectiveness of bentonite mixtures in reducing grounding resistance in acidic swampy areas. The method used is an experiment comparing resistance before and after the addition of bentonite in various compositions…
Optimization of principal component analysis and k-nearest neighbors in cultivation area classification red onion
This research aims to increase the effectiveness in classifying shallot cultivation areas through the combined application of principal component analysis (PCA) and k-nearest neighbors (KNN) methods. Shallot is an important agricultural commodity,…
Enhancing handover management in 5G networks with encoder-decoder LSTM for multistep forecasting
The continuous evolution of wireless communication networks, fueled by advancements in 5G and the envisioned potential of 6G technologies, has introduced significant challenges in mobility management and handover (HO) optimization. The frequent HOs…
Application of artificial intelligence in emission prediction for hybrid electric vehicles: integrating ANN and GPR
In recent years, hybrid electric vehicles (HEVs) have emerged as a promising solution to mitigate vehicular emissions and improve fuel efficiency. This study focuses on the Toyota Prius HEV, employing advanced artificial neural networks (ANN) and…
Adaptive DICOM images encryption using quadtree and lightweight ITUBee algorithm
The encryption of medical images protects the privacy of patient information transmitted over networks and communications. In this paper, a lightweight encryption method for medical images is proposed, combining a quadtree-based segmentation and a…
Business intelligence through data visualization: a case study using marketing campaign dataset
In today’s competitive business environment, data-driven marketing strategies are essential for successful campaign outcomes. This study presents a comprehensive analysis of marketing campaign data, emphasizing its role in enhancing customer…
An insight on using deep learning algorithm in diagnosing gastritis
Chronic autoimmune gastritis (CAG) is a condition in which the stomach membrane is significantly impacted by inflammation. Despite the availability of numerous modern medical techniques, the detection of this condition continues to be a difficult…
Watermarking on spread multi-frame data video using discrete wavelet transform hybrid and frame ratio message variance
The exponential growth of video sharing demands secure and imperceptible watermarking methods. This study presents a video watermarking framework using discrete wavelet transform (DWT) with hybrid sub-band embedding and multi-frame allocation to…
A hybrid ARIMA and DNN approach with residual learning for electric vehicle charging demand forecasting
The rapid growth of electric vehicle (EV) adoption has created significant challenges for power grid management and charging infrastructure planning. Accurate forecasting of EV charging demand is therefore essential to ensure reliable electricity…
Design and analysis of a new scheme of the FOSTA for DFIG based wind turbine
An super-twisting algorithm (STA)-based controller was designed and implemented in this study to achieve precise control over the stator active and reactive power of a doubly fed induction generator (DFIG)-equipped wind turbine device. The fractional…