Results 81 to 90 of about 11,065 (211)
Lung Disease Detection Using Hybrid CNN‐XGBoost Classifier With New Loss Function
IET Software, Volume 2026, Issue 1, 2026.Lung disease is one of the fatal and common illnesses, affecting many people each year through various forms such as asthma, pneumonia, and lung obstruction. Numerous diagnostic methods have been proposed, most of which rely on machine learning algorithms or simple convolutional neural networks (CNNs) that often lack sufficient accuracy.
Bahman Jafari Tabaghsar +4 more
wiley +1 more source
Range-Restricted Surface Interpolation Using Rational Bi-Cubic Spline Functions With 12 Parameters
IEEE Access, 2019 This paper discusses the constraint data interpolation or range restricted interpolation for surface data arranges on rectangular meshes that lie above or below an arbitrary plane and between two arbitrary planes by using partially blended rational bi ...
Samsul Ariffin Abdul Karim +2 more
doaj +1 more source
International Journal of Breast Cancer, Volume 2026, Issue 1, 2026.Breast cancer remains the most common cancer type among women, with invasive ductal carcinoma (IDC) responsible for almost 80% of cases. The exact histopathological segmentation of IDC is the premise of diagnosis, but manual observation of hematoxylin and eosin (H&E) stained slides is very time‐consuming and results in interobserver variability.
Vijaylaxmi Inamdar +2 more
wiley +1 more source
Learning to Hallucinate Face Images via Component Generation and Enhancement
, 2017 We propose a two-stage method for face hallucination. First, we generate facial components of the input image using CNNs. These components represent the basic facial structures.
Bao, Linchao +4 more
core +1 more source
Indoor Air, Volume 2026, Issue 1, 2026.The employment of deep convolutional neural networks (CNNs) signifies a substantial progression in the domain of image analysis. The application of this method is particularly suitable when the image set represents a spatial structure and predictive analysis can only be performed using Gaussian processes, which are computationally complex.
Diego Tamayo-Alonso +3 more
wiley +1 more source
Ptychography by changing the area of probe light and scaled ptychography
, 2014 Ptychography is a promising phase retrieval technique for visible light, X-ray and electron beams. Conventional ptychography reconstructs the amplitude and phase of an object light from a set of the diffraction intensity patterns obtained by the X-Y ...
Endo, Yutaka +6 more
core +1 more source
Cancer Reports, Volume 8, Issue 12, December 2025.ABSTRACT Background and Aim The worldwide healthcare system faces significant challenges due to the increasing prevalence of lung and colon cancer, highlighting the need for timely and accurate detection to improve patient prognosis. The precision of cancer diagnosis is highly dependent on the expertise of histopathologists, making it a complex and ...
Pragati Patharia +4 more
wiley +1 more source
Machine Learning and Knowledge ExtractionThe increasing availability of satellite data at different spatial resolutions offers new opportunities for environmental monitoring, highlighting the limitations of medium-resolution products for fine-scale territorial analysis.
Carmine Massarelli
doaj +1 more source
A direct procedure for interpolation on a structured curvilinear two-dimensional grid [PDF]
A direct procedure is presented for locally bicubic interpolation on a structured, curvilinear, two-dimensional grid. The physical (Cartesian) space is transformed to a computational space in which the grid is uniform and rectangular by a generalized ...
Yarrow, Maurice, Zingg, David W.
core +1 more source
Classical Cepheid Pulsation Models: IX. New Input Physics
, 2003 We constructed several sequences of classical Cepheid envelope models at solar chemical composition ($Y=0.28, Z=0.02$) to investigate the dependence of the pulsation properties predicted by linear and nonlinear hydrodynamical models on input physics.
Alibert Y. +14 more
core +1 more source