Results 171 to 180 of about 33,125 (301)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Clinician-Centric Explainable Artificial Intelligence Framework for Medical Imaging Diagnostics: A Systematic Review. [PDF]

Int J Biomed Imaging
Ikerionwu C, Arungwa I, Emelogu TM, Nwabuike CE, Ukwandu E.   +4 more
europepmc   +1 more source

A Dual‐Bioresponsive and Programmable Microneedle Matrix as a Bioinspired Coupler for Orchestrating Diabetic Bone Regeneration

Advanced Materials, EarlyView.
This project developed a smart bandage‐like patch (a microneedle array) for repairing diabetic bone damage. It intelligently senses signals from infection and inflammation, then releases its medicines in a specific, timed sequence: first an antibacterial agent, then an anti‐inflammatory agent, and finally growth factors.
Yu Wang, Rui Chen, Yu Chen, Haowen Lu, Yuchen Qian, Zhiheng Gao, Zheming Shen, Xiaofei Zheng, Huilin Yang, Jun Zou, Yusen Qiao   +10 more
wiley   +1 more source

Forecasting River Water Temperature Using Explainable Artificial Intelligence and Hybrid Machine Learning: Case Studies in Menindee Region in Australia

Water temperature (WT) is a crucial factor indicating the quality of water in the river system. Given the significant variability in water quality, it is vital to devise more precise methods to forecast temperature in river systems and assess the water ...
Salvin S. Prasad, Deo, Ravinesh C., Leyde Briceno Medina, Klaus Joehnk, Ravinesh C. Deo, Joehnk, Klaus, Ali, Mumtaz, Mumtaz Ali, Downs, Nathan, Nathan Downs, Briceno Medina, Leyde, Prasad, Salvin S.   +11 more
core   +1 more source

Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells

Advanced Materials Interfaces, EarlyView.
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss, Shiyi Wang, Brian P. Setzler, Yushan Yan, Adam Z. Weber   +4 more
wiley   +1 more source

Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment. [PDF]

Biomedicines
Kritsotaki N, Diamantidis D, Koutlaki N, Machairiotis N, Tsikouras P.   +4 more
europepmc   +1 more source

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

Explainable Artificial Intelligence in Healthcare: Current Landscape, Challenges, and Future Directions. [PDF]

Health Sci Rep
Shiddik MAB.
europepmc   +1 more source

Multilayered Digital Microfluidic Chip for Cell‐Based Assays

Advanced Materials Interfaces, EarlyView.
A multilayered digital microfluidic (mDMF) chip architecture is introduced to improve throughput and robustness in cell‐based assays. By multilayering electrode components and dielectric layers on glass, this design significantly reduces actuation voltage, maintains reliability, and enables expansion of the operational area with minimum current leakage.
Mert Ozden, Oksana K. Savchak, Burcu Gumuscu   +2 more
wiley   +1 more source

XAI.it 2024 : Preface to the Fifth Italian Workshop on eXplainable Artificial Intelligence

As Artificial Intelligence (AI) systems become integral to daily life, ensuring transparency and interpretability in their decision-making processes is critical. The General Data Protection Regulation (GDPR) has underscored users’ right to understand how
Pellungrini R., Setzu M., Musto C., Polignano M., Purificato E., Semeraro G.   +5 more
core