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BOOK TAX DIFFERENCES, OPERATING CASH FLOW, LEVELS OF DEBT, AND PERSISTENCE OF EARNINGS
One part of the report that gets a lot of attention from internal and external parties of the company is information about profits. Quality profit information will help interested parties in policy making. This study aims to analyze the role of book…
Boosting Functional Regression Models with FDboost
The R add-on package FDboost is a flexible toolbox for the estimation of functional
regression models by model-based boosting. It provides the possibility to fit regression
models for scalar and functional response with effects of scalar as well as…
regression models by model-based boosting. It provides the possibility to fit regression
models for scalar and functional response with effects of scalar as well as…
Boosting Purchase Intention and Online Participation Through Passion
This study analyzes the role of passion in engaging users and how it affects purchase intention and participation in social commerce contexts.
Based on marketing research, the engagement generation process is studied through the interactions among…
Based on marketing research, the engagement generation process is studied through the interactions among…
bootUR: An R Package for Bootstrap Unit Root Tests
Unit root tests form an essential part of any time series analysis. We provide practitioners with a single, unified framework for comprehensive and reliable unit root testing
in the R package bootUR. The package’s backbone is the popular augmented…
in the R package bootUR. The package’s backbone is the popular augmented…
BPEC: An R Package for Bayesian Phylogeographic and Ecological Clustering
BPEC is an R package for Bayesian phylogeographic and ecological clustering which
allows geographical, environmental and phenotypic measurements to be combined with
deoxyribonucleic acid (DNA) sequences in order to reveal geographic structuring of…
allows geographical, environmental and phenotypic measurements to be combined with
deoxyribonucleic acid (DNA) sequences in order to reveal geographic structuring of…
Brain Tumor Classification for MR Images Using Transfer Learning and
EfficientNetB3
Brain tumors are one of the diseases that take many lives in the world, moreover, brain tumors have various types. In the
medical world, it has an technology called Magnetic Resonance Imaging (MRI) which functions to see the inside of the human…
medical world, it has an technology called Magnetic Resonance Imaging (MRI) which functions to see the inside of the human…
Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and EfficientNet
Brain tumors have become a leading cause of mortality worldwide. Detecting and classifying brain tumors accurately at the initial stages is challenging due to their complex and varying structure. In this study, an improved fine-tuned model …
Brain Tumors Detection By Using Convolutional Neural Networks and Selection of Thresholds By Histogram Selection
Brain tumors in medical images have a high diversity in terms of shape and size. Some of the data found a form between the tumor tissue and normal tissue, whereas knowing the tumor’s profile and characteristics becomes a crucial part of searching. By…
BRAND IMAGE AND PURCHASING DECISION: ANALYSIS OF PRICE PERCEPTION AND PROMOTION(LITERATURE REVIEW OF MARKETING MANAGEMENT)
Previous research or relevant research is very important in a research or scientific article. Previous research or relevant research serves to strengthen the theory and phenomenon of the relationship …