Results 61 to 70 of about 207,274 (314)
An investigation into Quadtree fractal image and video compression [PDF]
, 2006 Digital imaging is the representation of drawings, photographs and pictures in a format that can be displayed and manipulated using a conventional computer.
Halliwell, James
core
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
SAR image compression using optronic processing
The Journal of Engineering, 2019 SAR image compression is important for space-borne SAR systems. Many compression methods were proposed, conventional methods were based on digital processing. Traditional methods are much computation and storage consumption. A novel SAR image compression
Jiacheng Ma +4 more
doaj +1 more source
IEEE Access, 2020 In mobile wireless multimedia sensor networks' image compression task collaborations, the existing methods do not consider the dynamic changes in the processing ability and the locations of the cooperative nodes.
He Li +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Backpropagation Neural Network Implementation for Medical Image Compression
Journal of Applied Mathematics, 2013 Medical images require compression, before transmission or storage, due to constrained bandwidth and storage capacity. An ideal image compression system must yield high-quality compressed image with high compression ratio.
Kamil Dimililer
doaj +1 more source
Screening and epitope characterization of Nidogen‐2‐specific nanobodies
FEBS Open Bio, EarlyView.Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen +9 more
wiley +1 more source
Comparative Performance Evaluation of Three Image Compression Algorithms
Journal of Applied Science & Process Engineering, 2017 The advent of computer and internet has brought about massive change to the ways images are being managed. This revolution has resulted in changes in image processing and management as well as the huge space requirement for images’ uploading, downloading,
Jide Julius Popoola +1 more
doaj +1 more source
Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems [PDF]
Sensors, 2014 Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image acquisition, the general image compression solution may not work well. In this paper, we propose an
Xiangwei Li +4 more
openaire +3 more sources