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[HTML][HTML] Maintenance optimization in industry 4.0
This work reviews maintenance optimization from different and complementary points of
view. Specifically, we systematically analyze the knowledge, information and data that can …
view. Specifically, we systematically analyze the knowledge, information and data that can …
Asset management in machine learning: State-of-research and state-of-practice
Machine learning components are essential for today's software systems, causing a need to
adapt traditional software engineering practices when develo** machine-learning-based …
adapt traditional software engineering practices when develo** machine-learning-based …
A multi-classifier network-based crypto ransomware detection system: A case study of locky ransomware
Ransomware is a type of advanced malware that has spread rapidly in recent years, causing
significant financial losses for a wide range of victims, including organizations, healthcare …
significant financial losses for a wide range of victims, including organizations, healthcare …
Android malware detection using deep learning
The Android operating system ranks first in the market share due to the system's smooth
handling and many other features that it provides to Android users, which has attracted …
handling and many other features that it provides to Android users, which has attracted …
Neural network music genre classification
N Pelchat, CM Gelowitz - Canadian Journal of Electrical and …, 2020 - ieeexplore.ieee.org
Music genre classification utilizing neural networks (NNs) has achieved some limited
success in recent years. Differences in song libraries, machine learning techniques, input …
success in recent years. Differences in song libraries, machine learning techniques, input …
Assessing the drivers of machine learning business value
Abstract Machine learning (ML) is expected to transform the business landscape in the near
future completely. Hitherto, some successful ML case-stories have emerged. However, how …
future completely. Hitherto, some successful ML case-stories have emerged. However, how …
Ghost in the machine: On organizational theory in the age of machine learning
With rapid advancements in machine learning, we consider the epistemological
opportunities presented by this novel tool for promoting organizational theory. Our paper …
opportunities presented by this novel tool for promoting organizational theory. Our paper …
[KNYGA][B] DATA SCIENCE FOR BUSINESS: Pengantar & Penerapan Berbagai Sektor
H Hartatik, B Kwintiana, TA Nengsih, A Baradja… - 2023 - books.google.com
Buku" Data Science for Business" membahas tentang pengantar dan penerapan data
science di berbagai sektor bisnis. Buku ini ditulis oleh beberapa penulis yang ahli di bidang …
science di berbagai sektor bisnis. Buku ini ditulis oleh beberapa penulis yang ahli di bidang …
Studying software engineering patterns for designing machine learning systems
Machine-learning (ML) techniques are becoming more prevalent. ML techniques rely on
mathematics and software engineering. Researchers and practitioners studying best …
mathematics and software engineering. Researchers and practitioners studying best …
Machine learning modeling practices to support the principles of AI and ethics in nutrition research
Background Nutrition research is relying more on artificial intelligence and machine learning
models to understand, diagnose, predict, and explain data. While artificial intelligence and …
models to understand, diagnose, predict, and explain data. While artificial intelligence and …