Results 31 to 40 of about 10,039 (239)
Colonization by Algorithms in the Fourth Industrial Revolution
IEEE Access, 2022 Data gathering and information processing have evolved to where it is almost unfathomable how much exists in digital form today. The generation thereof also no longer involves an explicit instruction from human to machine but can happen in real-time ...
Wynand Lambrechts +2 more
doaj +1 more source
The fourth industrial revolution: personnel, business and state [PDF]
E3S Web of Conferences, 2020 The solved tasks are to develop recommendations for combining industry 4.0 technologies with the reduction of less qualified personnel due to their use while maximizing (keeping) of the efficiency of the organization’s activities.
Genkin Eugene +4 more
doaj +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review
Advanced Materials, EarlyView.Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase +6 more
wiley +1 more source
International Competitiveness and the Fourth Industrial Revolution
Entrepreneurial Business and Economics Review, 2017 Objective: The objective of this article is to review the definitions, theories, and drivers of international competitiveness, examine how the Fourth Industrial Revolution (4IR) impacts the competitiveness framework, and build an ecosystematic model of ...
Chen Liu
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Advanced Materials Technologies, EarlyView.Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source
Stellenbosch Theological JournalThe Fourth Industrial Revolution (4IR) transcends mere industrial advancements; it embodies a profound social transformation shaping the very essence of our society. Given its rapid and unpredictable nature, theologians are compelled to anticipate potential future scenarios to adequately prepare for the forthcoming paradigm shift.
+4 more sources
Auditor judgment in the fourth industrial revolution
Contemporary Accounting Research, 2023 AbstractDiscourse proclaiming the advent of a fourth industrial revolution predicts significant disruption to various work domains in the near future. Auditing is one of the domains where bold claims about the potential of technology are being made, with technology expected to augment auditors' judgments and, in time, possibly automate them. Drawing on
Rita Samiolo +2 more
openaire +3 more sources
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source