Results 61 to 70 of about 77,994 (293)
Language Understanding for Text-based Games Using Deep Reinforcement Learning [PDF]
In this paper, we consider the task of learning control policies for text-based games. In these games, all interactions in the virtual world are through text and the underlying state is not observed. The resulting language barrier makes such environments
Barzilay, Regina +2 more
core +5 more sources
This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies +8 more
wiley +1 more source
Speech Recognition Technology: Improving Speed and Accuracy of Emergency Medical Services Documentation to Protect Patients [PDF]
Because hospital errors, such as mistakes in documentation, cause one in six deaths each year in the United States, the accuracy of health records in the emergency medical services (EMS) must be improved.
Tran, Tan
core +4 more sources
Image classification by visual bag-of-words refinement and reduction
This paper presents a new framework for visual bag-of-words (BOW) refinement and reduction to overcome the drawbacks associated with the visual BOW model which has been widely used for image classification.
Lu, Zhiwu, Wang, Liwei, Wen, Ji-Rong
core +1 more source
Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres
MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel +3 more
wiley +1 more source
Abnormal Traffic Identification Method Based on Bag of Words Model Clustering [PDF]
In view of the problem that the accuracy of abnormal traffic identification is low and fast identification is dependent on the threshold,an abnormal traffic identification method based on BoW(Bag of Words) model clustering is proposed.By means of K-means
MA Linjin,WAN Liang,MA Shaoju,YANG Ting
doaj +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
Commodity Image Classification Based on Improved Bag-of-Visual-Words Model
With the increasing scale of e-commerce, the complexity of image content makes commodity image classification face great challenges. Image feature extraction often determines the quality of the final classification results.
Huadong Sun +4 more
doaj +1 more source
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for ...
Negar Orangi-Fard +2 more
doaj +1 more source
Multifunctional Fluidic Units for Emergent, Responsive Robotic Behaviors
A multifunctional reconfigurable fluidic unit can be used as sensor, valve and actuator is presented. A unique configuration combines the features of the three components as a Responsive self‐oscillating actuator. The remarkable versatility of the fluidic unit is demonstrated by building different robots with the same fluidic units only by varying ...
Mostafa Mousa +3 more
wiley +1 more source

