Results 121 to 130 of about 3,188,697 (327)
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning
Within the scope of the research, we put forward a technique of exactly confirming the distinctiveness of agricultural leaf pathologies with the assist of deep mastering algorithms and switch getting to know generation.
Lakshin Pathak+2 more
semanticscholar +1 more source
Stem cell spheroids, produced via a high‐throughput microfabrication technique, are transported within a vortex generated at the outlet channels of a cross‐slot millifluidic chip. For Reynolds number exceeding 170–200, intermittent high shear stresses applied to each spheroid within the vortex trigger a massive release of biologically active ...
Elliot Thouvenot+8 more
wiley +1 more source
Background: Infarct volume measured from 2,3,5-triphenyltetrazolium chloride (TTC)-stained brain slices is critical to in vivo stroke models. In this study, we developed an interactive, tunable, software that automatically computes whole-brain infarct ...
Briana A. Santo+12 more
doaj
Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study
BackgroundA large number of web-based COVID-19 symptom checkers and chatbots have been developed; however, anecdotal evidence suggests that their conclusions are highly variable.
Munsch, Nicolas+6 more
doaj +1 more source
Egocentric Perception using a Biologically Inspired Software Retina Integrated with a Deep CNN [PDF]
We presented the concept of of a software retina, capable of significant visual data reduction in combination with scale and rotation invariance, for applications in egocentric and robot vision at the first EPIC workshop in Amsterdam [9].
Balog, Lorinc+4 more
core
The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu+14 more
wiley +1 more source
Benchmarking quantum versions of the kNN algorithm with a metric based on amplitude-encoded features
This work introduces a quantum subroutine for computing the distance between two patterns and integrates it into two quantum versions of the kNN classifier algorithm: one proposed by Schuld et al. and the other proposed by Quezada et al.
Areli-Yesareth Guerrero-Estrada+2 more
doaj +1 more source
Evaluating YOLOv5 and YOLOv8: Advancements in Human Detection
The YOLO (You Only Look Once) method is a state-of-the-art approach in real- time object detection, known for its high-speed image processing capabilities.
Nimatul Ma Muriyah+2 more
doaj +1 more source
DCASE 2018 Challenge Surrey Cross-Task convolutional neural network baseline [PDF]
The Detection and Classification of Acoustic Scenes and Events (DCASE) consists of five audio classification and sound event detection tasks: 1) Acoustic scene classification, 2) General-purpose audio tagging of Freesound, 3) Bird audio detection, 4 ...
Iqbal, Turab+4 more
core +1 more source
Quasi‐Static Compression Response and Energy Absorption of CNTF/EP Origami Thin‐Walled Tubes
This research innovatively uses CNTF/EP composite material to fabricate origami thin‐walled tubes, investigating their quasi‐static compression deformation modes and performance. It examines the effects of introducing secondary creases on deformation modes and the energy absorption metrics of the thin‐walled tubes.
Bowen Zhang+5 more
wiley +1 more source