Results 91 to 100 of about 3,494,638 (328)
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp +7 more
wiley +1 more source
Design Challenges and Misconceptions in Named Entity Recognition
We analyze some of the fundamental design challenges and misconceptions that underlie the development of an efficient and robust NER system. In particular, we address issues such as the representation of text chunks, the inference approach needed to ...
Lev-Arie Ratinov, Dan Roth
semanticscholar +1 more source
A UV‐crosslinkable soft anisotropic conductive film (ACF) provides high‐resolution, room‐temperature electrical interfacing. Upon UV exposure, azide crosslinkers within the ACF matrix form covalent bonds with a wide range of C–H‐containing materials, resulting in interfaces that are both mechanically durable and electrically reliable.
Jun Choi +7 more
wiley +1 more source
Semantic F1 Scores: Fair Evaluation Under Fuzzy Class Boundaries
We propose Semantic F1 Scores, novel evaluation metrics for subjective or fuzzy multi-label classification that quantify semantic relatedness between predicted and gold labels. Unlike the conventional F1 metrics that treat semantically related predictions as complete failures, Semantic F1 incorporates a label similarity matrix to compute soft precision-
Chochlakis, Georgios +5 more
openaire +2 more sources
Herein, the topochemical transformation of cobalt‐based layered hydroxides into nanocomposites is investigated using advanced real‐time characterization techniques combined with thermogravimetric analysis. The study reveals how interlayer carboxylic acids direct the transformation pathway, highlighting the role of carbon content and anion length. These
Camilo Jaramillo‐Hernández +5 more
wiley +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Detection of commercial crop weeds using machine learning algorithms
This work investigates the YOLOv5 object detection algorithms for classifying commercial crops such as tomatoes, chili, and cotton. The data sets comprise 707 images of green chillies, 200 images of tomato crops and 130 images of weeds from ...
Parameswaran Ramesh +5 more
doaj +1 more source
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni +17 more
wiley +1 more source
Fluorescent nanodiamonds (fNDs) have emerged as an invaluable quantum sensing platform for biological and biochemical systems. This paper investigates the influence of common surface functionalization strategies for bioconjugation on the quantum properties of nitrogen vacancy (NV) centers in nanodiamonds.
Anja Sadžak +6 more
wiley +1 more source
Rice leaf diseases represent a major hazard to rice production worldwide, affecting the output, integrity, and nutritional value of the crop. Conventional methods are time-consuming, costly, and often inaccessible to smallholder farmers, necessitating ...
Pritha Singha Roy, Vinay Kukreja
doaj +1 more source

