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Adopting collective hybrid intelligence principles to enhance corporate innovation and process efficiencies [PDF]

open access: yes, 2022
Mini Dissertation (MBA)--University of Pretoria, 2022.Collective Hybrid Intelligence (CHI) is a proposed paradigm in which collective entities, such as human intelligence, collective intelligence, and artificial intelligence, combine their unique ...

core  

The Impact of Combining Datasets on the Robustness of Deep Learning Architectures: A Cross-Dataset Analysis

open access: yesIEEE Access
Convolutional Neural Networks have become a widely used technology. Typically, the performance of CNN models is measured using an accuracy score obtained on a single dataset.
Ricardo Buettner   +2 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

A Systematic Literature Review of Large Language Model Applications in Industry

open access: yesIEEE Access
Large Language Models are rapidly transforming processes across industries by enabling advanced capabilities in natural language understanding, code generation, diagnostics, and decision support.
Norbert Moenks   +2 more
doaj   +1 more source

Hybrid intelligence in business networks [PDF]

open access: yesElectronic Markets, 2021
Philipp Ebel   +4 more
openaire   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

open access: yesAdvanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa   +3 more
wiley   +1 more source

A Novel High-Performance Deep-Learning-Based Approach for the Detection of Arsenic Poisoning

open access: yesIEEE Access
Arsenic poisoning remains a serious public health problem that affects millions of people worldwide. Early detection is crucial to prevent severe long-term complications and implement mitigation strategies as recommended by the World Health Organization.
Norbert Moenks   +2 more
doaj   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

open access: yesAdvanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi   +4 more
wiley   +1 more source

A Novel Hybrid Transformer Approach for Text-Based Defect Classifications in the Construction Industry

open access: yesIEEE Access
In the construction industry, defects and their rework cause significant unplanned overheads. Defects are recorded in natural language, and while traditional manual evaluation and classification of defects is labor- and resource-intensive, transformer ...
Ricardo Buettner   +2 more
doaj   +1 more source

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

open access: yesAdvanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

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