ACADEMIC MASTER · THE ESSAY COLLECTION
The application of scientific knowledge for practical purposes, especially in industry.
ACADEMIC MASTER · THE ESSAY COLLECTION
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A literature review of concrete carbonation, its effects on durability and the analytical and machine learning methods used to predict carbonation depth.
A comparative machining study of three alloys and two dielectric systems, with fifty-four trials, restored ANOVA tables and plots of removal rate, wear and surface finish.
A finite element account of a reinforced T-section, connecting nano-carbon cement concepts with Abaqus modelling and the interpretation of stress, displacement, reaction and strain outputs.
An experimental assessment of silicon carbide powder in titanium-alloy EDM, preserving the nine-run results and Taguchi response tables for removal rate, tool wear and surface finish.
An ensemble learning and Cuckoo–Walrus optimization framework for analog and digital precoding, with reported comparisons of error rates, channel estimation and throughput.
Circuit designs, synthesis reports and signal tests examine how carry-skip adders affect FIR filter delay and operating frequency.
An experimental study of polyurethane and polyacrylate composite water based inks, covering preparation, physical properties and statistical evaluation.
A proposed sensor-fusion and learning framework for robot navigation, with restored equations and figures and a qualified interpretation of the reported comparison.
A hybrid learning architecture for energy theft detection, covering data preparation, feature selection and attention fusion alongside the limits of the supplied performance statistics.
This narrative review examines twenty studies on augmented reality and e-commerce published between 2017 and 2023. It compares virtual fitting, product visualization, consumer engagement, adoption and supporting technologies, while explaining how study methods, application contexts and practical limitations affect the interpretation of
A study of HDPE–silicon nitride filaments, SA-TDOA process optimization and multimodal prediction, preserving the reported results and identifying limitations in their verification.
A proposed ceramic tile inspection pipeline combining Gabor filtering, CLAHE, optimized U-Net and deep classifiers, with reported metrics retained and their inconsistencies explained.
A study of ceramic-filled PLA composites for 3D printing, examining tensile-test results and hybrid optimization while identifying limitations in the reported experimental records.
Literature review Introduction The escalating demand for sustainable energy has driven the integration of solar PV systems into power grids. The employment of solar PV technology possesses enormous potential in lessening greenhouse gas emissions and ensuring a dependable energy source for the
DECAGON SHAPED MULTILAYER MICRO STRIP PATCH ANTENNA FOR BANDWIDTH IMPROVEMENT IN BROADBAND APPLICATIONS *1Anil K. Rathod, 2Md Bakhar 1*Research Center, Department of ECE, Guru Nanak Dev Engineering College, Bidar, India 2Professor, Guru Nanak Dev Engineering College, Bidar, Indias Abstract The design
AI-powered photograph-to-video generation has changed how creators, marketers, educators, and groups produce attractive visual content. In preference to spending hours animating static snapshots manually, trendy AI tools can generate practical motion, facial expressions, camera movements, and cinematic effects in only a few
INTRODUCTION 1.1 Introduction to Power Quality in Grid-Connected Solar PV Systems Grid-connected solar photovoltaic (PV) systems have become an attractive choice to fulfil the world’s growing energy demands while lowering greenhouse gas emissions in the pursuit of sustainable and clean energy sources.
Abstract: The growing use of information technology has made various financial services easily accessible to the users; nonetheless, this has also resulted in an increase in fraudulent transactions. Both the security of online transactions and the user experience can be improved by
2.1 Introduction The utilization of fluids which don’t possess “Newtonian” behaviour performs a predominant role by encompassing a wide range of applications in the fields of science, bioengineering and much more. It is important to note that the rheological behaviours exhibited by
Abstract In renewable energy, precise wind power forecasting (WPF) is critical for grid stability. This paper introduces a novel deep learning (DL) ensemble method for enhanced accuracy. The proposed methodology encompasses a comprehensive pre-processing phase, involving data cleaning and normalization through Box-Cox
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