Results 121 to 130 of about 509,522 (270)
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
A step‐efficient stateful logic architecture is demonstrated using a fabricated 32 × 32 memristor crossbar array, enabling parallel n‐bit full adder operations directly in memory. By optimizing load resistance and voltage configurations, the circuit achieves reliable NIMP, AND, and OR logic operations with minimized computational steps, enhanced ...
Jinwoo Park +3 more
wiley +1 more source
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel +5 more
wiley +1 more source
ABSTRACT The UV/chlorine process, a promising advanced oxidation process, demonstrates remarkable synergism and radical dynamics for the efficient degradation of Basic Blue 41 (BB41). This study investigates the effects of processing conditions, including solution temperature (25°C–45°C), pollutant dose (10–40 mg/L), chlorine concentration (100–1000 μM)
Mounia Tidjani +4 more
wiley +1 more source
Abstract In the Lake Koocanusa‐Kootenai River system (Montana, USA and British Columbia, Canada), selenium (Se) contamination has become an international concern and is suspected to contribute to the observed burbot (Lota lota) population collapse. Due to our limited ability to sample burbot in Lake Koocanusa for monitoring studies, we used a reference
Stephanie D. Graves +6 more
wiley +1 more source
Argon Cold Plasma Modification of Polyethylene Films to Tailor Surface and Barrier Properties
Argon cold plasma treatment of low‐density polyethylene (LDPE) and high‐density polyethylene (HDPE) films induces major changes in surface chemistry and morphology. Contact angles decrease significantly while surface energy increases, improving wettability. FTIR confirms the formation of polar functional groups, while pronounced etching, roughness, and
Aikaterini Spanou +11 more
wiley +1 more source
Quantitative assessment of masticatory muscles based on skull muscle attachment areas in Carnivora
Abstract Masticatory muscles are composed of the temporalis, masseter, and pterygoid muscles in mammals. Each muscle has a different origin on the skull and insertion on the mandible; thus, all masticatory muscles contract in different directions. Collecting in vivo data and directly measuring the masticatory muscles anatomically in various Carnivora ...
Kai Ito +4 more
wiley +1 more source
Abstract Dental microwear texture analysis (DMTA) has emerged as a valuable method for investigating the feeding ecology of vertebrates. Over the past decade, three‐dimensional topographic data from microscopic regions of tooth surfaces have been collected, and surface texture parameters have been published for both extant and fossil species.
Mugino O. Kubo +4 more
wiley +1 more source

