Results 201 to 210 of about 1,247,707 (283)

When Droplets Can "Think": Intelligent Testing in Digital Microfluidic Chips. [PDF]

Biosensors (Basel)
Luo Z, Li S, Long W, Chen R, Zheng J.
europepmc   +1 more source

All Organic Fully Integrated Neuromorphic Crossbar Array

Advanced Electronic Materials, EarlyView.
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh, Tim Stevens, Yoeri van de Burgt   +2 more
wiley   +1 more source

Errors in Text, Tables, and Supplement.

JAMA Dermatol
europepmc   +1 more source

Policy-Guided Model Predictive Path Integral for Safe Manipulator Trajectory Planning. [PDF]

Sensors (Basel)
Liang L, Wu C, Wang X.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

UMUD: a web application for easy access to musculoskeletal ultrasonography datasets. [PDF]

BMC Med Imaging
Ritsche P, Sarto F, Santini F, Leitner C, Franchi MV, Faude O, Finni T, Seynnes O, Cronin N.   +8 more
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

CLTD-LP: an optimized top-down clustering approach with linear prefix trees for scalable frequent pattern discovery in large datasets. [PDF]

Sci Rep
Sinthuja M, Diviya M, Saranya P.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy. [PDF]

IEEE Trans Med Imaging
Bao R, Foster AN, Song Y, Vyas R, Kesri A, Eddine Toubal I, Soltani Kazemi E, Rahmon G, Kucukpinar T, Almansour M, Ho ML, Palaniappan K, Ninalga D, Prasad Koirala C, Mohapatra S, Schlaug G, Wodzinski M, Muller H, Ellis DG, Aizenberg MR, Arda Aydin M, Abdinli E, Unal G, Tahmasebi N, Punithakumar K, Song T, Peng Y, Bates SV, Hirschtick R, Ellen Grant P, Ou Y.   +30 more
europepmc   +1 more source