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Roberto Verganti, Luca Vendraminelli, Marco Iansiti • Journal of Product Innovation Management
(2020)
At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation p...
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DOI: https://doi.org/10.1111/jpim.12523
Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger • Electronic Markets
(2022)
Abstract Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia ...
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DOI: https://doi.org/10.1007/s12525-022-00598-0
Yuri Yin‐Moe Aung, David Wong, Daniel Shu Wei Ting • British Medical Bulletin
(2021)
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields in various sectors, including healthcare. This article reviews AI's present applications in healthcare, including its benefits, limitations and...
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DOI: https://doi.org/10.1093/bmb/ldab016
Young Joo Yang, Chang Seok Bang • World Journal of Gastroenterology
(2019)
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization...
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DOI: https://doi.org/10.3748/wjg.v25.i14.1666
PMC: 6465941
Daron Acemoğlu, Pascual Restrepo • National Bureau of Economic Research
(2018)
We summarize a framework for the study of the implications of automation and AI on the demand for labor, wages, and employment.Our task-based framework emphasizes the displacement effect that automation creates as machines and AI replace la...
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Open Access
DOI: https://doi.org/10.3386/w24196
Simone Figorilli, Lavinia Moscovini, Simone Vasta, Francesco Tocci et al. • Smart Agricultural Technology
(2025)
Recently banana plantations have been affected by the Black Sigatoka Disease (BSD), producing streaks, lesions and yellow and brown spots on the leaves until the appearance of entire dead parts. The disease causes reductions in yield making...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.atech.2024.100762
Alex Glynn • European Science Editing
(2025)
The tendency of generative artificial intelligence (AI) to ‘hallucinate’ false information is well known; AI-generated citations to non-existent sources have penetrated the bibliographies of peer-reviewed publications. D...
DOAJ
Open Access (DOAJ)
DOI: 10.3897/ese.2025.e153973
European Society of Radiology (ESR) • Insights into Imaging
(2022)
Abstract The Patient Advisory Group (PAG) of the European Society of Radiology aims to highlight, in this short paper, patients’ expectations from the radiological community and support workers, throughout the patient’s medical imaging jour...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13244-022-01184-w
Danyila Oliіnyk • Стратегічна панорама
(2018)
The article analyzes the state and problems of innovation development in Ukraine and the need for more active use of innovative approaches in the formation of a single integrated energy market based on the principles and rules for implement...
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Open Access (DOAJ)
Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access
(2024)
Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3416468
Buhong Wang, Jin Xiao, Ruochen Dong, Chengkai Piao et al. • Aerospace
(2026)
Satellite networks are essential to global connectivity yet face severe multidimensional cybersecurity threats. This systematic review conducts a holistic analysis of threats across the physical, network, and user layers. We propose the Sat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/aerospace13030249
Sai Geng, Lei Wang, Dongdong Li, Benchi Jiang et al. • CAAI Transactions on Intelligence Technology
(2022)
Abstract With the continuous and rapid growth of transport demand, scheduling strategy of warehouse has become a key issue in the field of logistics transportation. The structural differences of the warehouse, the automated storage and retr...
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Open Access (DOAJ)
DOI: 10.1049/cit2.12066
Arunima Roy, Katerina Nikolitch, Rachel McGinn, Safiya Jinah et al. • npj Digital Medicine
(2020)
Abstract Machine learning analysis of social media data represents a promising way to capture longitudinal environmental influences contributing to individual risk for suicidal thoughts and behaviors. Our objective was to generate an algori...
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Open Access (DOAJ)
DOI: 10.1038/s41746-020-0287-6
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access
(2023)
Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3332243
Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks
(2017)
In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...
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DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010
Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery
(2020)
OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....
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Open Access
DOI: https://doi.org/10.1097/sla.0000000000004594
PMC: 8186165
Vangelis Marinakis • Energies
(2020)
European buildings are producing a massive amount of data from a wide spectrum of energy-related sources, such as smart meters’ data, sensors and other Internet of things devices, creating new research challenges. In this context, the aim o...
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Open Access (DOAJ)
DOI: 10.3390/en13071555
Qiguang Liu, Yanyun Li, Zhenghao Wu, Junjie Cheng et al. • Advanced Science
(2026)
ABSTRACT In the era of artificial intelligence (AI)‐driven high‐performance computing, phase change materials (PCMs) are critical for high‐flux thermal management. PCMs are evolving toward high enthalpy, low interfacial thermal resistance (...
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Open Access (DOAJ)
DOI: 10.1002/advs.202521482
Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports
(2025)
Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-02209-2
Anantaya Timtong, Atthaphon Ariyarit, Wanwanut Boongsood, Prasert Aengchuan et al. • Results in Engineering
(2024)
This research evaluates the use of artificial intelligence to enhance the accuracy of predictions for mixed-mode I/III fracture toughness in polymethyl methacrylate . Traditionally, assessing fracture toughness relies heavily on destructive...
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Open Access (DOAJ)
DOI: 10.1016/j.rineng.2024.103289