Results 251 to 260 of about 469,122 (324)

A New Algorithm Using Support Vector Machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia from OLCI Data

, 2023
Gonzalez Vilas L, Spyrakos E, Pazos Y, Torres Palenzuela JM.   +3 more
europepmc   +1 more source

Printed 2.5D‐Microstructures with Material‐Specific Functionalization for Tunable Biosensing

Advanced Materials Technologies, EarlyView.
The 2.5D‐MiSENSE platform integrates a microstructured biosensor with an in‐line milking pipeline to enable real‐time detection of mastitis biomarkers during active milk flow. The system uses a 2.5D microengineered surface and patterned electrodes to enhance milk–sensor interaction.
Matin Ataei Kachouei, Benjamin Corl, Md. Azahar Ali   +2 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation. [PDF]

JMIR AI
Späth J, Sewald Z, Probul N, Berland M, Almeida M, Pons N, Le Chatelier E, Ginès P, Solé C, Juanola A, Pauling J, Baumbach J.   +11 more
europepmc   +1 more source

MXene‐Coated 3D Printed Horn Antennas for Ku Frequency Band

Advanced Materials Technologies, EarlyView.
An additive manufacturing approach to 3D printing horn antennas and coating them with Ti3C2Tx MXene is proposed. Rapid fabrication of lightweight, high‐performance antennas operating in the Ku‐band (12.4–18 GHz) has been demonstrated. The MXene‐coated antennas exhibit comparable electromagnetic performance to conventional, costly aluminum ones, with ...
Zahra Sarpanah Sourkouhi, Jamal Alhourani, Yury Gogotsi, Mohammad H. Zarifi   +3 more
wiley   +1 more source

Recyclable and Binder‐Free EGaIn–Carbon Liquid Metal Composite: A Sustainable Approach for High‐Performance Stretchable Electronics, Thermal‐Interfacing and EMI‐Shielding

Advanced Materials Technologies, EarlyView.
Binder‐free EGaIn–CB composite deliver printable, recyclable liquid‐metal conductors without sintering or polymer binders. Only 1.5 wt% CB yields shear‐thinning, high‐viscosity rheology, ∼60% bulk EGaIn conductivity, robust stretchability, high thermal conductivity, and strong EMI shielding (35 → 70 dB at 100% strain).
Elahe Parvini, Abdollah Hajalilou, Pedro A. Lopes, Tiago A. Morgado, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Photonic Hybrid Integration: Strategies and Promises of Advanced Additive Manufacturing

Advanced Optical Materials, EarlyView.
Heterogeneous photonic integration combines wafer bonding, transfer printing, and advanced multi‐photon lithography to realize compact, adaptable photonic systems. This review highlights breakthroughs in hybrid materials, metrology, and 4D printing, revealing how the convergence of traditional and emerging fabrication unlocks scalable, high‐performance
Zhitian Shi, Huiyu Huang, Richard Penty, Qixiang Cheng   +3 more
wiley   +1 more source

Characterization of clinical data for patient stratification in moderate osteoarthritis with support vector machines, regulatory network models, and verification against osteoarthritis Initiative data. [PDF]

Sci Rep
Segarra-Queralt M, Galofré M, Tio L, Monfort J, Monllau JC, Piella G, Noailly J.   +6 more
europepmc   +1 more source

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

Advanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur, Nicolas T. Sandino, Jason P. Terry, Mahdi Ghafariasl, Yohannes Abate   +4 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source