Results 151 to 160 of about 847 (213)
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song +2 more
wiley +1 more source
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko +4 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
From Thai Country Songs to German Singable Lyrics: Creative Translation in Foreign Language Teaching [PDF]
openaire +1 more source
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger +8 more
wiley +1 more source
A Novel Plasma Heme Assay Reveals Disease Severity in Beta‐Thalassemia and Sickle Cell Anemia
ABSTRACT Anemia results from imbalanced hemoglobin or red blood cell production and clearance. Hemolytic anemia, caused by premature red blood cell removal, can be intravascular (in blood) or extravascular (erythrophagocytosis). Hemolysis is common in Sickle Cell Disease (SCD) and Beta‐Thalassemia anemia (β‐thalassemia), the most prevalent inherited ...
Laurent Kiger +14 more
wiley +1 more source

