Results 161 to 170 of about 3,580,379 (342)

Toward a Holistic Privacy Requirements Engineering Process: Insights From a Systematic Literature Review

open access: yesIEEE Access
Privacy requirements engineering is a crucial aspect of privacy engineering. It aims to integrate privacy principles into organizational and technical processes throughout the software development lifecycle.
Guntur Budi Herwanto   +3 more
doaj   +1 more source

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

open access: yesAdvanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan   +9 more
wiley   +1 more source

Machine learning software for optimizing SME social media marketing campaigns

open access: yesComputer Science & IT Research Journal
This review paper explores the transformative role of machine learning in optimizing social media marketing strategies for small and medium-sized enterprises (SMEs). It begins by highlighting the significance of social media marketing for SMEs, outlining
Wagobera Edgar Kedi   +3 more
semanticscholar   +1 more source

Photonic Nanomaterials for Wearable Health Solutions

open access: yesAdvanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park   +3 more
wiley   +1 more source

Two Material Properties from One Wavelength‐Orthogonal Photoresin Enabled by a Monochromatic Laser Integrated Stereolithographic Apparatus (Mono LISA)

open access: yesAdvanced Materials, Volume 37, Issue 13, April 2, 2025.
A single object with dual properties – degradable and non‐degradable – is fabricated in a single print simply by switching the printing colors. The advanced multi‐material printing is enabled by the combination of a fully wavelength‐orthogonal photoresin and a monochromatic tunable laser printer, paving the way for precise multi‐material ...
Xingyu Wu   +5 more
wiley   +1 more source

Cloud Inspired White and Grey Plasmonic Metasurfaces for Camouflaged Thermal Management

open access: yesAdvanced Materials, EarlyView.
Inspired by clouds' role in Earth's thermal management, this work presents disordered plasmonic metasurfaces that mimic their radiative effects. The white metasurface enhances backscattering, acting as a cooling layer with camouflage properties.
Mhd Adel Assad   +6 more
wiley   +1 more source

Designing Physical Unclonable Functions From Optically Active Materials

open access: yesAdvanced Materials, EarlyView.
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen   +2 more
wiley   +1 more source

Enhancing resilience in IoT cybersecurity: the roles of obfuscation and diversification techniques for improving the multilayered cybersecurity of IoT systems

open access: yesData & Policy
In our digitalized modern society where cyber-physical systems and internet-of-things (IoT) devices are increasingly commonplace, it is paramount that we are able to assure the cybersecurity of the systems that we rely on.
Sampsa Rauti, Samuli Laato
doaj   +1 more source

Reconfigurable Liquid Crystal‐Based Physical Unclonable Function Integrating Optical and Electrical Responses

open access: yesAdvanced Materials, EarlyView.
Reconfigurable physical unclonable function (PUF) integrating optical and electrical responses in organic field‐effect transistor is developed by using unique optical fingerprint textures and random molecular alignment of the semiconductive smectic liquid crystal. This approach enhances security by enabling hierarchical authentication, providing robust
Hee Seong Yun   +8 more
wiley   +1 more source

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