Results 61 to 70 of about 94,016 (314)
Green tea polyphenols, conjugated either covalently or non‐covalently to hemp protein, comprise an excellent stabilizing matrix for oxidatively‐sensitive small molecules. These nanoemulsions are highly stable to a variety of chemical and physical stressors, protecting the small molecule while allowing for easy uptake across cell membranes and rapid ...
William Charles Hosie +9 more
wiley +1 more source
Trigonometric words ranking model for spam message classification
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
Secure User Privacy in Population Physique Clustering and Prediction Based on Sport Questionnaires
Population physique is one of the key aspects for measuring and evaluating the healthy degree or living level of the population of a nation. Many population physique evaluation models or tools have been developed in the past decades, among which ...
Chunlan Tian +3 more
doaj +1 more source
Advanced Microfluidics for Single Cell‐Based Cancer Research
Cutting‐edge microfluidic platforms are transforming single‐cell cancer research. This review highlights advanced technologies, from droplet microfluidics to tumour‐chips, that enable functional and spatial single‐cell analyses. By integrating biosensing, immune components, and patient‐derived materials, these systems offer new insights into tumour ...
Adriana Carneiro +10 more
wiley +1 more source
Dual-branch autoencoder network for attacking deep hashing image retrieval models
Due to its powerful representation learning capabilities and efficient computing capabilities, deep learning-based hashing (deep hashing) methods are widely used in large-scale image retrieval.However, there are less studies on the security of deep ...
Sizheng FU +4 more
doaj +2 more sources
Summary: A concept of complexity of hashing is introduced and studied with special attention to the lower bounds of complexity. A new class of rather simple hash-functions is developed. These functions are shown to be near optimal within this concept of complexity.
openaire +3 more sources
This study proposed physical unclonable function based multi‐level key space generation scheme. By exploiting speckle characteristic, a size‐controllable structure is achieved and that is suitable foundation for multiple key extraction. The flexible key space supports various specifications for advanced applications, such as hierarchical authentication
Jeong Jin Kim, Min Seong Kim, Gil Ju Lee
wiley +1 more source
Efficient computation of spaced seed hashing with block indexing
Background Spaced-seeds, i.e. patterns in which some fixed positions are allowed to be wild-cards, play a crucial role in several bioinformatics applications involving substrings counting and indexing, by often providing better sensitivity with respect ...
Samuele Girotto +2 more
doaj +1 more source
Multiview Inherent Graph Hashing for Large-Scale Remote Sensing Image Retrieval
Remote sensing image retrieval (RSIR) is one of the most challenging tasks in remote sensing (RS) community. With the volume of RS images increases explosively, conventional exhaustive search is often infeasible in real applications.
Yinghui Sun +3 more
doaj +1 more source
A deep learning framework called MolVisGNN is proposed to fuse 3D molecular visual information of drugs with multi‐source features, which proves the importance of 3D molecular visual information of drugs and the advancedness of this model in the field of drug discovery, and provides a reference for how to more comprehensively express small molecule ...
Zimai Zhang +9 more
wiley +1 more source

