Results 101 to 110 of about 170,367 (287)

Perfect Hash Families: Probabilistic Methods and Explicit Constructions

Journal of Combinatorial Theory, Series A, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Payload Attribution Using Winnowing Multi Hashing Method

International Journal of Information and Network Security (IJINS), 2013
Payload attribution is a process to identify the sources and destinations of all packets that appeared on a network and a certain excerpt of a payload. This method can be used for traffic efficiencies in investigating internet crime (cybercrime), such as tracing who is responsible for activities for unauthorized access, illegal contents, deliberate ...
Irwan Sembiring, Jazi Eko Istiyanto, Edi Winarko, Ahmad Ashari   +3 more
openaire   +1 more source

Tumour‐informed workflow to use ctDNA as a biomarker for risk of recurrence in head and neck cancer patients post‐treatment

VIEW, EarlyView.
Our study presents a tumour‐informed circulating tumour DNA (ctDNA) workflow designed to enhance the detection of recurrence in head and neck cancer patients, addressing key challenges such as low ctDNA tumour fractions and tumour heterogeneity. Abstract Circulating tumour DNA (ctDNA) is a promising minimally invasive biomarker for monitoring treatment
Xiaomin Huang, Paul Leo, Mhairi Clout, Lynn Fink, Jonathan Ellis, Brett G. M. Hughes, Lizbeth Kenny, Sarju Vasani, Chamindie Punyadeera   +8 more
wiley   +1 more source

Vertical coordination in agri‐food supply chain and blockchain: A proposed framework solution for Vietnamese cashew nut business

Regional Science Policy &Practice, EarlyView., 2022
Abstract The agri‐food supply chain has been a popular research topic in recent years. The combination of a demand for products of high quality and safety standards and the increasing number of stakeholders in supply chain networks has required the agri‐food business to transform from vertically integrated to vertically operated supply chain networks ...
Thanh_Tuan Chu, Thi Thu Tra Pham
wiley   +1 more source

Spatiotemporal mapping the usable space of free‐roaming equids across the western United States

Wildlife Society Bulletin, EarlyView.
Identification of the inter‐decadal (2010‐2011) enhancement‐degradation gradients in the usable space for wild equid Herd Management Areas in the Great Basin, USA. Abstract Management of feral equids in the American West is hindered by the lack of a formal habitat map and monitoring system.
Alexander Hernandez, Eric Thacker, Kaden Patten, David Stoner   +3 more
wiley   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Accelerating Multiparametric Quantitative MRI Using Self-Supervised Scan-Specific Implicit Neural Representation With Model Reinforcement. [PDF]

Magn Reson Med
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Feng R, Jang A, He X, Liu F.
europepmc   +2 more sources

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

A Hashing Method Using PCA-based Clustering

KIPS Transactions on Software and Data Engineering, 2014
In hashing-based methods for approximate nearest neighbors(ANN) search, by mapping data points to k-bit binary codes, nearest neighbors are searched in a binary embedding space. In this paper, we present a hashing method using a PCA-based clustering method, Principal Direction Divisive Partitioning(PDDP).
openaire   +2 more sources