Results 151 to 160 of about 1,783 (184)
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
Deep Learning‐Based Skin Lesion Classification
High‐frequency ultrasound (HFUS) is valuable for assessing skin lesions, supporting diagnosis, treatment monitoring, and surgical planning. This study evaluates deep learning models for binary classification of HFUS images acquired in B‐mode and Doppler mode.
Isabela Rocha Veiga da Silva +5 more
wiley +1 more source
ABSTRACT The migration of intentionally and non‐intentionally added substances (IAS/NIAS) from food packaging into foodstuffs presents a significant challenge to consumer health and food safety. Accurate and comprehensive identification of these chemical migrants is therefore paramount.
Xue‐Chao Song +5 more
wiley +1 more source
ABSTRACT Pacific cod (Gadus macrocephalus) are important predators of juvenile snow (Chionoecetes opilio) and Tanner crab (Chionoecetes bairdi) in the eastern Bering Sea (EBS), yet the relationship between cod–crab spatial overlap and total crab consumption is only partially understood.
Jonathan C. P. Reum +2 more
wiley +1 more source
Samplify: a versatile tool for image‐based segmentation and annotation of seed abortion phenotypes
Summary Automated seed phenotyping has wide applications in research and agriculture and relies on easy‐to‐use platforms and pipelines. Seed phenotyping in the model species Arabidopsis thaliana poses a significant challenge due to the large number of tiny seeds produced by individual plants, which are difficult to manually separate and count.
Heinrich Bente +4 more
wiley +1 more source
Elementary Triangular Partitioned Cellular Automata (Frontiers of Theoretical Computer Science)
openaire
Abstract Background Accurate classification of brain tumors is a major challenge in neuro‐oncology, as the heterogeneity of tumor morphology and the overlap of radiological features limit the effectiveness of conventional diagnostic approaches. Early and reliable tumor characterization is essential for treatment planning, prognosis, and improved ...
Mus'ab S. Alkasasbeh +7 more
wiley +1 more source
Interconnected Porous Hydrogels with Tunable Anisotropy Through Aqueous Emulsion Bioprinting
A 3D bioprintable microporous bioink is developed using an aqueous two‐phase system (ATPS) composed of extracellular matrix (ECM) mimetic biopolymers. The ATPS bioink enables the fabrication of interconnected porous architectures with up to 70% porosity, supporting long‐term cell viability and 3D cell alignment, enabling a simultaneous generation of ...
Hugo Edgar‐Vilar +4 more
wiley +1 more source

