Results 21 to 30 of about 205,289 (220)
Time Series Dataset Survey for Forecasting with Deep Learning
Forecasting, 2023 Deep learning models have revolutionized research fields like computer vision and natural language processing by outperforming traditional models in multiple tasks.
Yannik Hahn +3 more
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A Disruptive Transformation in Digital Transformation [PDF]
IT Professional, 2021 Welcome to the fifth IT Professional issue of 2021, devoted to digital transformation (DT). It presents four peer-reviewed papers on this theme, four peer-reviewed feature papers on different topics, and column/department articles that align to probe deeper into DT.
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Digital Transformation Strategies [PDF]
Business & Information Systems Engineering, 2015 In recent years, firms in almost all industries have conducted a number of initiatives to explore new digital technologies and to exploit their benefits. This frequently involves transformations of key business operations and affects products and processes, as well as organizational structures and management concepts.
Matt, C, Hess, T, Benlian, A
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A Returnable Transport Item to Integrate Logistics 4.0 and Circular Economy in Pharma Supply Chains
Tehnički Glasnik, 2023 Recent global events, such as the COVID-19 pandemic, the war in Ukraine and the climate crisis, force the pharma logistics sector to rapidly improve their processes and establish more resilient and sustainable medical supply chains. For this purpose, the
Gerald Schneikart +3 more
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Empowered and embedded: ethics and agile processes
Humanities & Social Sciences Communications, 2022 This article focuses on the structural aspects of the development of ethical software, and argues that ethical considerations need to be embedded into the (agile) software development process.
Niina Zuber +4 more
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TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior
Journal of Theoretical and Applied Electronic Commerce Research, 2023 Real-time customer purchase prediction tries to predict which products a customer will buy next. Depending on the approach used, this involves using data such as the customer’s past purchases, his or her search queries, the time spent on a product page ...
Miguel Alves Gomes +3 more
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Learning Health Systems, 2022 Introduction To address Australian workforce needs, we developed a Learning Healthcare System (LHS) Academy fellowship program for clinicians. In the Academy, fellows complete foundational coursework, an LHS project, and other professional development ...
Sathana Dushyanthen +4 more
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An Introduction to Digital Transformation
, 2022 AbstractDigital transformation has been one of the most studied phenomena in information systems (IS) and organizational science literature. With novel digital technologies emerging at a growing pace, it is important to understand what we have learned in over three decades of research and what we still need to understand in order to harness the full ...
Patrick Mikalef, Elena Parmiggiani
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Digital health and self-management of chronic diseases in sub-Saharan Africa: A scoping review
South African Journal of Information Management, 2022 Background: With the rise of noncommunicable diseases (NCDs) in sub-Saharan Africa (SSA), the concept of digital self-management presents great opportunities for relieving some of the burdens healthcare systems face.
Mourine S. Achieng +1 more
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schlably: A Python framework for deep reinforcement learning based scheduling experiments
SoftwareX, 2023 Research on deep reinforcement learning (DRL) based production scheduling (PS) has gained a lot of attention in recent years, primarily due to the high demand for optimizing scheduling problems in diverse industry settings.
Constantin Waubert de Puiseau +4 more
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