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Machine learning-based reconstruction of missing rainfall extremes: a comparative analysis with classical models
The limited availability of daily rainfall data remains a key challenge in rainfall data analysis. This study assesses the effectiveness of spatial interpolation and bias correction techniques using satellite-derived rainfall data to fill missing…
Retrieval-augmented generation for Arabic legal information: the family code case study
This document describes the implementation and evaluation of a retrieval-augmented generation (RAG) system to improve access to and understanding of Moroccan law, particularly the family code in Arabic. The research addresses the drawbacks of the…
Metamaterial-enhanced four-port MIMO antenna for 5G communications at 28/38 GHz
This work presents a novel compact four-port multiple-in multiple-out (MIMO) antenna enhanced with metamaterial unit cells for 5G millimeter-wave (mmWave) applications at 28 and 38 GHz. Compact MIMO antennas at mmWave bands often suffer from high…
Novel fractional order sinusoidal oscillators using
operational trans resistance amplifier
The design of fractional order circuits in very large-scale integration (VLSI)
domain is gaining the interest of many researchers. At the same time design
of fractional circuits using the current mode devices is attracting the research
community.…
domain is gaining the interest of many researchers. At the same time design
of fractional circuits using the current mode devices is attracting the research
community.…
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…
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…
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…
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…
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…
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…