Browse Items (9427 total)
Sort by:
Decision-making models and support systems for supply chain risk: literature mapping and future research agenda
Supply chain disruptions have serious consequences for society and this has made supply chain risk management (SCRM) an attractive area for researchers and managers. In this paper, we use an objective literature mapping approach to identify,…
deconvolveR: A G-Modeling Program for Deconvolution and Empirical Bayes Estimation
Empirical Bayes inference assumes an unknown prior density g(θ) has yielded (unobservables) Θ1, Θ2, . . . , ΘN , and each Θi produces an independent observation Xi from
pi(Xi
|Θi). The marginal density fi(Xi) is a convolution of the prior g and…
pi(Xi
|Θi). The marginal density fi(Xi) is a convolution of the prior g and…
Deep Image Deblurring for Non-Uniform Blur: a Comparative Study of Restormer and BANet
Image blur is one of the common degradations on an image. The blur that occurs on the captured images is sometimes non-uniform, with different levels of blur in different areas of the image. In recent years, most deblurring methods have been deep…
Deep Learning Classification of Building Types in Northern Cyprus
Among the areas where AI studies centered on developing models that provide real-time solutions for the real estate industry are real estate price forecasting, building age, and types and design of the building (villa, apartment, floor number).…
Deep Learning Methods In Predicting Indonesia Composite Stock Price Index (IHSG)
The stock price changes at any time within seconds. The stock price is a time series data. Thus, it is necessary to have the best analysis model in predicting the stock price to make decisions to avoid losses in investing. In this research, the…
Deep Learning Model for Crop Diseases and Pest Classification
The study on deep learning models for crop diseases and pest classification looked at how these models may enhance agricultural practices, specifically for the purpose of more precise pest and crop disease classification. The research brought…
Deep-diving into the relationship between Corporate Social Performance and Corporate Financial Performance - A comprehensive investigation of previous research
Corporate social performance (CSP) and corporate financial performance (CFP) have been studied widely in the last fifteen years. These major efforts in research and publication might have been expected to produce aligned results but is it not the…
DeePNeu: Robust Detection of Pneumonia Symptoms using Faster R-CNN
Every year, more than 150 million people, primarily children under five, develop pneumonia. Various articles present various methods for detecting pneumonia. However, to accurately analyze chest X-ray images, radiologists …
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination
of additive regression models and deep networks. Our implementation…
of additive regression models and deep networks. Our implementation…
dentifikasi Citra Beras Menggunakan AlgoritmaMulti-SVM Dan Neural Network Pada Segmentasi K-Means
Indonesia merupakan negara dengan kebutuhan beras yang tinggi karena menjadi makanan pokok lebih dari 90% masyarakatnya. Kebutuhan tinggi memerlukan stok yang tinggi sehingga impor pun dilakukan dengan aturan-aturan sesuai…