Results 211 to 220 of about 30,075 (285)
A Study of Mixed Non-Motorized Traffic Flow Characteristics and Capacity Based on Multi-Source Video Data. [PDF]
Gu G+9 more
europepmc +1 more source
Self‐Driving Microscopes: AI Meets Super‐Resolution Microscopy
This review examines the use of machine learning to automate super‐resolution optical microscopy, enabling the microscope to autonomously make decisions on what, when, and how to image. By eliminating the need for human intervention, this approach has the potential to enhance the versatility and accessibility of super‐resolution microscopy.
Edward N. Ward+3 more
wiley +1 more source
Generation of Quantum Software From Truth Tables
ABSTRACT Background Quantum Computing (QC) represents a disruptive paradigm in computing, with significant implications across various domains such as medicine, logistics, chemistry, and defense. However, quantum software development—the discipline that enables the exploitation of QC's potential—faces considerable challenges due to the inherent ...
Macario Polo+3 more
wiley +1 more source
Evaluating Multi‐Label Machine Learning Models for Smart Home Environments
ABSTRACT Context Smart home devices have become increasingly popular in modern households, powered by the Internet of Things (IoT) advances. The data generated by smart devices can provide valuable insights into users' behavior and preferences. By analyzing the data, one can understand how people interact with their homes, thus creating a “smart home ...
Diego Corrêa da Silva+10 more
wiley +1 more source
Modeling convergent scale-by-scale skin color patterning in multiple species of lizards.
Jahanbakhsh E, Milinkovitch MC.
europepmc +1 more source
Machine Learning‐Assisted Pd‐Au/MXene Sensor Array for Smart Gas Identification
By introducing a bionic sensor array and machine learning algorithms, a portable and effective gas‐sensing platform with Pd‐Au/MXene nanocomposites through an in situ growth strategy is constructed. It exhibits excellent selectivity and great applicational performances, demonstrating promising potential for wide gas‐sensing applications, including ...
Yiheng Chen+4 more
wiley +1 more source
Adaptive Spatial Scheduling for Event Traffic in LoRaWAN Networks. [PDF]
Asteriou V+5 more
europepmc +1 more source
Abstract Accurate magnetic resonance imaging (MRI) segmentation plays a critical role in the diagnosis and treatment of demyelinating diseases. But the existing automatic segmentation methods are not suitable for the segmentation of demyelinating lesions with small lesion size, highly diffuse edges and complex boundary shapes.
Minhui Liu+4 more
wiley +1 more source
Density Classification with Non-Unitary Quantum Cellular Automata. [PDF]
Wagner E+3 more
europepmc +1 more source
Recurrence Resonance and 1/f Noise in Neurons Under Quantum Conditions and Their Manifestations in Proteinoid Microspheres. [PDF]
Huang Y+3 more
europepmc +1 more source