Results 181 to 190 of about 405,044 (354)

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

Advanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee, Gunhyoung Kim, Dongho Lee, Seowoo Son, Hyunho Seok, Sihoon Son, Hyunbin Choi, Geonwook Kim, Geumji Back, Hyunkyu Kim, Chaerin Park, Junmin Ahn, Seongyun Je, Chaeyoung Im, Junil Cho, Magdalena Grzeszczyk, Seongho Kim, Eunseo Go, Hyunwoo Shim, Donghwan Choi, Muyoung Kim, Hyoeng‐U. Kim, Won‐Jun Jang, Taesung Kim   +23 more
wiley   +1 more source

The Extended Education 4.0: Lifelong Learning in Times of Artificial Intelligence

Lifelong learning has become a central axis in the debate on education and innovation, especially in contexts where technological transformations and the integration of artificial intelligence are reshaping the ways individuals acquire, update, and apply
José Isaias Salas, Fabiola Sáez Delgado, Jefferson Arias, Andrés Chiappe   +3 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

A deep ensemble learning approach for squamous cell classification in cervical cancer

Scientific Reports
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to the vagina-poses a significant health threat. The microscopic examination of cervical cells using Pap smear techniques plays a crucial role in identifying
Jayesh Gangrade, Rajit Kuthiala, Shweta Gangrade, Yadvendra Pratap Singh, Manoj R, Surendra Solanki   +5 more
doaj   +1 more source

Performance of deep-learning artificial intelligence algorithms in detecting retinopathy of prematurity: A systematic review. [PDF]

Saudi J Ophthalmol, 2022
Bai A, Carty C, Dai S.
europepmc   +1 more source

Harnessing Artificial Intelligence in Obesity Research and Management: A Comprehensive Review

Purpose: This review aims to explore the clinical and research applications of artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), in understanding, predicting, and managing obesity. It assesses the use of AI tools to
Miltiades D. Lytras, Faisal Kunnathodi, Haifa F. Alotaibi, Sarfuddin Azmi, Waleed Alhazzani, Amr A. Arafat, Riyasdeen Anvarbatcha, Mohammad Mustafa, Ishtiaque Ahmad   +8 more
core   +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

Deep machine learning (artificial intelligence) in ultrasound diagnostics

, 2020
G. Lebedev, A. Maslyukov, I. Shaderkin, A. Shaderkina   +3 more
semanticscholar   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Demystifying Machine Learning in Artificial Intelligence

Ubiquity
The general idea behind machine learning is that, instead of people writing programs to extract information from data, machines extract information by learning from examples. Neural networks are widely used in machine learning, and this paper tries to give an accessible introduction. Currently, machines don't learn like people.
Jeffrey Johnson 0001, Philip Yaffe, Kemal A. Delic, Phil D. Picton   +3 more
openaire   +1 more source