Results 171 to 180 of about 13,919 (263)

All-fibre-coupled terahertz single-pixel imaging for biomedical applications. [PDF]

Nat Commun
Mou S, Stantchev RI, Saxena S, Ou H, Rane S, Pain SL, Murphy JD, Hendry E, Lloyd-Hughes J, Pickwell-MacPherson E.   +9 more
europepmc   +1 more source

Hadamard Matrix Slicing Single‐Pixel Imaging: Establishing a Linear‐Array‐Inspired Paradigm for N‐fold Acceleration Single‐Pixel Imaging

Advanced Science, Volume 13, Issue 43, 3 August 2026.
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li, Jieting Hou, Qizheng Zhao, Yiqi Jia, Xiang Zhong, Mengchao Ma, Huaxia Deng, Xinglong Gong, Ziwei Wang   +8 more
wiley   +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

Ultrasonic Rainbow: A Meta‐Transducer for Frequency‐Selective Elastic Wave Control via Dithering‐Based Wavenumber Tuning

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha, Jochen Moll, Kilian Tschöke, Carsten Kruska, Sylvia E. Gebhardt, Luca De Marchi   +5 more
wiley   +1 more source

Beyond Area Under the Receiver Operating Characteristic Curve: Evaluating Predictive Performance Metrics Under Class Imbalance in Real-World Clinical Data. [PDF]

JMIR Form Res
Ventura VDGJ, Andrade CMV, Almeida JM, Pessoa BP, Polanczyk CA, Nascimento GFD, Boersma E, Vianna HR, Farah KP, Rocha LCDD, Gonçalves MA, Marcolino MS.   +11 more
europepmc   +1 more source

Targeting Spatiotemporal Heterogeneity of oncomiRNAs: A New Frontier in Cancer Therapy

Cancer Reports, Volume 9, Issue 8, August 2026.
ABSTRACT Background miRNAs are short RNA transcripts that modulate gene expression after transcription and have emerged as pivotal regulators of cancer biology. A subset, termed oncomiRNAs, functions as oncogenes or tumor suppressors, influencing key cellular events such as cell growth, programmed cell death, neovascularization, tissue invasion, and ...
T. Jeethy Ram, Muralee Damodaran
wiley   +1 more source

An optimized gradient boosting framework for IoT intrusion detection: a comprehensive evaluation on the CICIoT2023 dataset. [PDF]

Sci Rep
Almahaqeri SA, Almourish MH, Nasser AA, Alghawli ASA, Elsayed AAK, Alhejoj AN.   +5 more
europepmc   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, Volume 48, Issue 8, Page 2190-2198, August 2026.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

The Precision Paradox in Prostate Cancer Diagnostics: Grade Migration, Risk Misclassification, and Overtreatment in the mpMRI-Targeted Biopsy Era. [PDF]

Cancers (Basel)
Micillo A, Steffani S, Orecchia L, Miano R, Walser E, Manenti G.   +5 more
europepmc   +1 more source

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, Volume 41, Issue 5, Page 613-626, August 2026.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source