Search
Search Results
-
Construction of Recursive MDS Matrices Using DLS Matrices
Many block ciphers and hash functions use MDS matrices because of their optimal branch number. On the other hand, MDS matrices generally have a high...
-
PE-DLS: a novel method for performing real-time full-body motion reconstruction in VR based on Vive trackers
Real-time full-body motion capture (MoCap) is becoming necessary for enabling natural interactions and creating deeper immersion in virtual reality...
-
A new Arabic handwritten character recognition deep learning system (AHCR-DLS)
Optical character recognition for the English text may be considered one of the most important research topics, whether, printed or handwritten....
-
Digital literacy scale: Validity and reliability study with the rasch model
The study aimed to develop a Likert-type measurement tool (Digital Literacy Scale, DLS) to determine the digital literacy levels of secondary school...
-
Diagonalization and Canonization of Latin Squares
Article aimed to the description of equivalent transformations that are allow to get at least one diagonal Latin square (DLS) from all main classes...
-
The dynamics of Brazilian students’ emotions in digital learning systems
Affect dynamics in digital learning systems (DLS) research investigates how students’ emotions evolve while using these systems. This information can...
-
Introduction
Most DLs without role constructors are decidable Rogers (1987), Soare (1987), and with role constructors are not. We consider two sets...
-
An enhanced multi-scale weight assignment strategy of two-exposure fusion
Multi-exposure image fusion (MEF) is a convenient way to get high dynamic range (HDR) images. However, when the input sequence with a large...
-
A hybrid multiscale filter along with an improved adaptive SVR technique for fault diagnosis and machine learning modeling: forecasting the octane number of gasoline in isomerization reactor
Using a reliable predictive model is important for modeling, controlling, and optimization of the isomerization process. This process has a...
-
Combining Proofs for Description Logic and Concrete Domain Reasoning
Logic-based approaches to AI have the advantage that their behavior can in principle be explained with the help of proofs of the computed...
-
A Rational Entailment for Expressive Description Logics via Description Logic Programs
Lehmann and Magidor’s rational closure is acknowledged as a landmark in the field of non-monotonic logics and it has also been re-formulated in the...
-
On the construction of near-MDS matrices
The optimal branch number of MDS matrices makes them a preferred choice for designing diffusion layers in many block ciphers and hash functions....
-
TxChain: Scaling Sharded Decentralized Ledger via Chained Transaction Sequences
The blockchain has become the most prevalent distributed ledger (DL). Sharding has emerged as a major solution to the scalability bottleneck of DLs....
-
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
The learning process and hyper-parameter optimization of artificial neural networks (ANNs) and deep learning (DL) architectures is considered one of...
-
Dynamic Data-Driven Monitoring of Nanoparticle Self-Assembly Processes
This chapter presents a dynamic, data-driven modeling methodology, capable of tracking and predicting the transient dynamics of nanoparticle...
-
Linking different scientific digital libraries in Digital Humanities: the IMAGO case study
In the last years, several scientific digital libraries (DLs) in digital humanities (DH) field have been developed following the Open Science...
-
Spatio-Temporal Sequence Prediction of Diversion Tunnel Based on Machine Learning Multivariate Data Fusion
The safety monitoring of hydraulic structures is an important measure to ensure the safe construction and operation of water diversion projects. The...
-
SAT-Based Rigorous Explanations for Decision Lists
Decision lists (DLs) find a wide range of uses for classification problems in Machine Learning (ML), being implemented in anumber of ML frameworks....
-
Cloud-based deep learning-assisted system for diagnosis of sports injuries
At both clinical and diagnostic levels, machine learning technologies could help facilitate medical decision-making. Prediction of sports injuries,...
-
Explaining Ontology-Mediated Query Answers Using Proofs over Universal Models
In ontology-mediated query answering, access to incomplete data sources is mediated by a conceptual layer constituted by an ontology, which can be...