Results 51 to 60 of about 15,707 (245)

Automatic Representative View Selection of a 3D Cultural Relic Using Depth Variation Entropy and Depth Distribution Entropy

open access: yesEntropy, 2021
Automatically selecting a set of representative views of a 3D virtual cultural relic is crucial for constructing wisdom museums. There is no consensus regarding the definition of a good view in computer graphics; the same is true of multiple views.
Sheng Zeng, Guohua Geng, Mingquan Zhou
doaj   +1 more source

Fluorescence Tuning of Carbon Dots from Red to Blue via UV‐Induced Photochemical Etching

open access: yesAdvanced Science, EarlyView.
A UV‐driven photochemical process enables continuous color evolution of carbon dots from red to blue using a single irradiation parameter. Progressive photoetching restructures graphitic domains and surface states, allowing full visible‐spectrum emission control.
Nanzhi Zheng   +6 more
wiley   +1 more source

Commodity Image Classification Based on Improved Bag-of-Visual-Words Model

open access: yesComplexity, 2021
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

Detecting Textual Propaganda Using Machine Learning Techniques

open access: yesمجلة بغداد للعلوم, 2021
Social Networking has dominated the whole world by providing a platform of information dissemination. Usually people share information without knowing its truthfulness.
Akib Mohi Ud Din Khanday   +2 more
doaj   +1 more source

Molecular Mobility of N‐Acetylgalactosamine‐Modified Cyclodextrins on a Polyrotaxane for Highly Efficient Liver Targeting of Antibody Chimeras and Genome‐Editing Ribonucleoproteins

open access: yesAdvanced Science, EarlyView.
Monovalent N‐acetylgalactosamine (GalNAc)‐modified polyrotaxane enables efficient liver targeting by utilizing ligand mobility. The sliding and rotating cyclic components i.e., cyclodextrin in the polyrotaxane dynamically cluster GalNAc moieties, thereby mimicking trivalent interactions with asialoglycoprotein receptors.
Toru Taharabaru   +6 more
wiley   +1 more source

Scale Coding Bag-of-Words for Action Recognition

open access: yes2014 22nd International Conference on Pattern Recognition, 2014
Recognizing human actions in still images is a challenging problem in computer vision due to significant amount of scale, illumination and pose variation. Given the bounding box of a person both at training and test time, the task is to classify the action associated with each bounding box in an image. Most state-of-the-art methods use the bag-of-words
Fahad Shahbaz Khan   +3 more
openaire   +4 more sources

The application of parallel computing in the bag of words model algorith

open access: yes上海师范大学学报. 自然科学版, 2017
Traditional bag of words (BoW) model has been widely used in image classification,and achieves better results.But in the traditional bag of words model only the serial computation is considered,making the whole process takes a long time.In this paper the
Xu Tong   +3 more
doaj   +1 more source

The Spatiotemporal Genetic Architecture of Seed Vigor in Upland Cotton

open access: yesAdvanced Science, EarlyView.
Leveraging the semi‐automated SeedRanger platform, we profiled the germination kinetics of 356 cotton accessions at a 30‐min interval. This high‐throughput phenomic approach delineated a temporal genetic network comprising 541 stage‐specific loci. Crucially, functional validation identified FLA2 as a pivotal, auxin‐modulated regulator that orchestrates
Luyao Wang   +32 more
wiley   +1 more source

Enzymatic Encoding of Topology in an Intrinsically Disordered Single‐Chain Protein

open access: yesAngewandte Chemie, EarlyView.
Enzymatic intramolecular cross‐linking enables topology control in intrinsically disordered proteins, yielding SCNPs with reproducible cavity architectures. Using β‐casein and microbial transglutaminase, sparse, sequence‐resolved constraints drive compact collapse without inducing secondary structure.
Joshua Johani   +9 more
wiley   +2 more sources

Predictive Model for ICU Readmission Based on Discharge Summaries Using Machine Learning and Natural Language Processing

open access: yesInformatics, 2022
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

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