Results 291 to 300 of about 120,140 (335)

Contrastive learning for cell division detection and tracking in live cell imaging data. [PDF]

BMC Bioinformatics
Zyss D, Sharma A, A Ribeiro S, E Repellin C, Lai O, J C Ludlam M, Walter T, Fehri A.   +7 more
europepmc   +1 more source

A Lightweight Medical Image Classification Framework via Self-Supervised Contrastive Learning and Quantum-Enhanced Feature Modeling [PDF]

Jingsong Xia, Siqi Wang
openalex  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Diagnostic forecasting of battery degradation through contrastive learning. [PDF]

Sci Rep
Sadler J, Mohammed R, Castle M, Uddin K.
europepmc   +1 more source

Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites

Advanced Functional Materials, EarlyView.
A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim, Inseo Cho, Jung Geon Son, Yifan Yu, Gunhee Kim, Eunseo Shin, Seyeon Eom, Minsub Um, Subeom Shin, Hyungju Ahn, Dong Suk Kim, Hochan Song, Hyosung Choi, Jonghee Yang   +13 more
wiley   +1 more source

Contrastive learning enhanced MobileMamba for real time industrial defect detection on edge devices. [PDF]

Sci Rep
Huang J, Ariffin SA, Yang Q, Yong K, Xu W.   +4 more
europepmc   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Correction: A community public health emergency resilience assessment framework based on contrastive learning and hyperbolic embedding. [PDF]

Front Public Health
Wen Q, Ismail M, Abdul Nasir MH.
europepmc   +1 more source

Genipin‐Crosslinked, Silane‐Anchored 3D Tumor–Stroma Microtissues for High‐Content On‐Chip Drug Testing

Advanced Healthcare Materials, EarlyView.
We describe a microfluidic tumor‐stroma co‐culture model, engineered to resist collagen‐hydrogel contraction driven by fibroblast activity. Surface silanization with APTES covalently anchors the matrix to the chip, while Genipin crosslinking progressively increases stiffness and elasticity without harming cells. This supports >10 days of co‐culture and
Doriane Le Manach, Reza Kowsari‐Esfahan, Emilia Reszczyńska, Philippe Nghe, Matthias Nees   +4 more
wiley   +1 more source