ACADEMIC MASTER · THE ESSAY COLLECTION
English is a West Germanic language that was first spoken in early medieval England and eventually became a global lingua franca.
ACADEMIC MASTER · THE ESSAY COLLECTION
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A customized neural framework for network attack detection, tracing preprocessing and optimization through classification and explaining inconsistencies in the reported model comparison.
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 91-response survey compares course-selection classifiers with and without ensemble bagging. Original charts and confusion matrices are retained alongside limitations concerning classifier identity and evaluation design.
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 cross-sectional survey examines associations between Chinese high-tech innovation, African CSR practices and firm performance, with limitations in the reported moderation and mediation analyses.
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 mathematical manuscript on correlated arrivals, parallel servers and vacations, retaining its equations and eight charts while identifying unresolved model and stability assumptions.
An EEG channel and feature selection manuscript combining MothCray optimization with spatiotemporal EEGNet, accompanied by notes on dataset and accuracy inconsistencies.
A proposed three-stage outbreak prediction approach using optimized SVM, KNN and XGBoost, published with its original results and an explicit note about unresolved error statistics.
A two-section EFL study reports higher experimental-group posttest scores, positive student perceptions and important limits arising from significant baseline differences.
A proposed mixed-methods study connects online access, social media, family communication and emotional coping with compulsive buying while explaining sampling and causal limits.
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.
This study examines density, thermal conductivity, shrinkage, and expansion in lead-free glazed ceramics. It connects the reported measurements with material selection and thermal stability in home design.
CHAPTER 1 1.1 INTRODUCTION The recruitment and selection of employees by a company or institution is the first step in the Human Resource Management (HRM) process. Introducing HRM practices must be done when recruiting new staff. HRM processes may encourage
CHAPTER 2 LITERATURE REVIEW 2.1. Introduction The COVID-19 pandemic, which emerged at the end of 2019 and swiftly escalated into a worldwide economic downturn, has significantly and profoundly affected individuals, societies, economies, and industries globally. SARS-CoV-2, a new coronavirus, posed an unprecedented
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
CHAPTER -2 LITERATURE REVIEW A couple pre-training techniques for Alzheimer's disease identification using brain MRI were tested by Dhinagar et al. in 2022. The techniques used T1-weighted brain MRI scans from the ADNI and OASIS3 cohort with several architectures to diagnose AD
A STUDY OF THE DETERMINANTS OF SME EXPORTS WITH A STRATEGIC FOCUS ON EXPORT FINANCE 4.0 Introduction The growth and prosperity of SMEs hold a crucial role in any nation’s economic landscape. Significant contributions are made by SMEs, not only in
Abstract Cloud computing services are increasing day by day in recent times. Especially users from all sectors turn to use cloud computing to fast accessing of required services by investing less amount of money in their applications. As the increase of retrieving
Abstract autonomous vehicles (AV) or self-driving cars got more and more into the focus of the automotive industry. Object detection and tracking is essential in AV. To overcome the challenges of various methods used for the object detection and tracking in autonomous
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