Multi-Object Detection in Security Screening Scene Based on Convolutional Neural Network
The technique for target detection based on a convolutional neural network has been widely implemented in the industry. However, the detection accuracy of X-ray images in security screening scenarios still requires improvement.
Fan Sun +3 more
doaj +1 more source
Salient Object Detection Based on Multi-scale Feature Extraction and Multi-level Feature Fusion
Salient object detection has been widely used in image retrieval, image segmentation, pedestrian recognition and other fields. Current mainstream detection methods fuse multi-level feature information through short connection to add feature maps, which ...
Lingli LI, Lingbing MENG, Jinbao LI
doaj
Multi-Scale Feature Learning for Language Identification of Overlapped Speech
Language identification is the front end of multilingual speech-processing tasks. The study aims to enhance the accuracy of language identification in complex acoustic environments by proposing a multi-scale feature extraction method.
Zuhragvl Aysa +2 more
doaj +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Fast low-level multi-scale feature extraction for hexagonal images [PDF]
Inspired by the human vision system and its capability to process in real-time, an efficient framework for low-level feature extraction on hexagonal pixel-based images is presented. This is achieved by utilizing the spiral architecture addressing scheme to simulate eye-tremor along with the convolution of non-overlapping gradient masks.
Sonya A. Coleman +2 more
openaire +2 more sources
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Multi-scale feature fusion method based on task design.
Multi-scale feature fusion method based on task design.
Guoxiong Zhou (12245608) +7 more
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Triple feature extraction method based on multi-scale dispersion entropy and multi-scale permutation entropy in sound-based fault diagnosis [PDF]
Fault of rolling bearing signal is a common problem encountered in the production of life. Identifying the fault signal helps to locate the fault location and type quickly, react to the fault in time, and reduce the losses caused by the failure in ...
Nina Zhou, Li Wang
core +1 more source
Multi-Scale, Multi-Feature Vector Flow Active Contours for Automatic Multiple-Face Detection [PDF]
To automatically detect faces in real-world images presenting challenges such as complex background and multiple foregrounds, we propose a new method which is based on parametric active contours and which does not require any supervision, model nor ...
Olszewska, Joanna Isabelle
core +2 more sources

