Arabica coffee is recognized as a high-value plantation commodity, favored for its distinctive flavor profile. However, its relatively high caffeine c...
This study presents a timely and relevant investigation into the reduction of caffeine in Arabica coffee beans through microbial fermentation, an appr...
The G. koordersiana Burret plant, especially its bark, is used by the Sumba community to treat wounds, ulcers, and liver. This study aims to determine...
This study provides a valuable preliminary investigation into the traditional medicinal plant *G. koordersiana Burret*, addressing the impact of diffe...
SEPIC is a DC-DC converter that functions in both boost and buck modes, reducing voltage stress on active power switches. It is utilized in electric v...
This paper presents the design and simulation of a SEPIC DC-DC converter tailored for a unipolar 120V DC microgrid, aiming to deliver 600W of DC power...
Direct disposal of untreated laundry wastewater contributes to environmental pollution, with TSS (Total Suspended Solid) levels reaching 600 mg/L, far...
This paper presents a timely and relevant solution to the critical environmental issue of untreated laundry wastewater discharge, which significantly...
It has become natural to retain most of the information electronically, due to developments and improvements in information and communication technolo...
The paper, "Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution," addresses the pervasive challenge o...
In recent years, face recognition systems have gained significant traction due to their applications in security, surveillance, and user authenticatio...
The paper presents a novel Adaptive Resonance Theory (ART)-based approach for robust and efficient face recognition, directly addressing common challe...
The rapid spread of misinformation on digital platforms poses a major challenge today. The ability to detect false information is essential to mitigat...
This paper presents a deep learning approach for fake news classification using Long Short-Term Memory (LSTM) networks, aiming to address the critical...
The rapid expansion of e-commerce has increased the demand for secure and efficient package delivery solutions, particularly for recipients who are fr...
This paper presents a timely and relevant solution to the growing challenge of secure package delivery in the age of e-commerce. The "Smart Package Re...
This paper proposes a single-phase shunt active filter (ShAF) combined with photovoltaic (PV) to enhance power quality performance by reducing source...
This paper, "Power Quality Enhancement Using Single Phase Shunt Active Filter Based ANFIS Supplied by Photovoltaic," presents a compelling solution to...
The routine use of natural gas, particularly in residential settings, has been integral to human activities for many decades. This study proposes a hy...
The study, "Estimating Residential Natural Gas Demand and Consumption: A Hybrid Ensemble Machine Learning Approach," tackles a highly pertinent and pr...
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