[HTML][HTML] Maintenance optimization in industry 4.0

L Pinciroli, P Baraldi, E Zio - Reliability Engineering & System Safety, 2023 - Elsevier
This work reviews maintenance optimization from different and complementary points of
view. Specifically, we systematically analyze the knowledge, information and data that can …

Asset management in machine learning: State-of-research and state-of-practice

S Idowu, D Strüber, T Berger - ACM Computing Surveys, 2022 - dl.acm.org
Machine learning components are essential for today's software systems, causing a need to
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

AO Almashhadani, M Kaiiali, S Sezer, P O'Kane - IEEE access, 2019 - ieeexplore.ieee.org
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 …

Android malware detection using deep learning

ON Elayan, AM Mustafa - Procedia Computer Science, 2021 - Elsevier
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 …

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 …

Assessing the drivers of machine learning business value

C Reis, P Ruivo, T Oliveira, P Faroleiro - Journal of Business Research, 2020 - Elsevier
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 …

Ghost in the machine: On organizational theory in the age of machine learning

K Leavitt, K Schabram, P Hariharan… - … of Management Review, 2021 - journals.aom.org
With rapid advancements in machine learning, we consider the epistemological
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 …

Studying software engineering patterns for designing machine learning systems

H Washizaki, H Uchida, F Khomh… - … on Empirical Software …, 2019 - ieeexplore.ieee.org
Machine-learning (ML) techniques are becoming more prevalent. ML techniques rely on
mathematics and software engineering. Researchers and practitioners studying best …

Machine learning modeling practices to support the principles of AI and ethics in nutrition research

DM Thomas, S Kleinberg, AW Brown, M Crow… - Nutrition & …, 2022 - nature.com
Background Nutrition research is relying more on artificial intelligence and machine learning
models to understand, diagnose, predict, and explain data. While artificial intelligence and …