Results 221 to 230 of about 1,256,985 (257)

Hybrid MICO-LAC Segmentation with Panoptic Tumor Instance Analysis for Dense Breast Mammograms. [PDF]

J Imaging
Jamil R, Dong M, Mamyrbayev O, Akhmediyarova A.   +3 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

A machine vision dataset for automated quality inspection and grading of sweetpotatoes. [PDF]

Data Brief
Zhang J, Lu Y, Xu J.
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Multimodal deep learning for inflammatory bowel disease: a new frontier in cellular and molecular biomarker discovery to clinical translation. [PDF]

J Biol Eng
Li P, Guo S, Zhang Y, Hu H, Cheng T, Xu B, Zeng K, Huang T, Dong Z, BenHuo, Lin J, Wen H, Sun B.   +12 more
europepmc   +1 more source

Unlocking the Potential of MXene‐Based Electrochemical Biosensors: A Review of Biofunctionalization Strategies and Biosensing Principles

Advanced Materials Technologies, EarlyView.
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali, Sharat Chandra Barman, Isobel Steer, Aya H. Alshareef, Dana Alsulaiman   +4 more
wiley   +1 more source

Enhancing ECG Classification Generalization Through Unified Multi-Dataset Training. [PDF]

Sensors (Basel)
Kim M, Shin M.
europepmc   +1 more source

Edge-guided multi-scale instance segmentation for railway track. [PDF]

Sci Rep
Lin J, Yang W, Du X.
europepmc   +1 more source

Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging. [PDF]

Sensors (Basel)
Zhou D, Gao S, Huang X.
europepmc   +1 more source

PointNeXt-DBSCAN: a hybrid point cloud deep learning framework for multi-stage cotton leaf instance segmentation. [PDF]

Front Plant Sci
Lei Z, Zeng D, Zheng L.
europepmc   +1 more source