Results 71 to 80 of about 616,005 (189)

Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains

, 2017
While modern day web applications aim to create impact at the civilization level, they have become vulnerable to adversarial activity, where the next cyber-attack can take any shape and can originate from anywhere. The increasing scale and sophistication
Kantardzic, Mehmed, Sethi, Tegjyot Singh
core   +1 more source

Data preparation for inductive learning in robotics [PDF]

, 1999
The application of logic-based learning algorithms in real-world domains, such as robotics, requires extensive data engineering, including the transformation of numerical tabular representations of real-world data to logic-based representations ...
Rieger, Anke
core  

Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective

Informatics and Health
Background: Heterogeneous network-based methods are powerful analytical tools for many real-world data mining tasks in biomedical field. The specific aim of this survey is to examine the representative algorithms used in heterogeneous network data mining
Shirui Yu, Aihua Li, Yifei Chen, Dechao Wang, Xiaoli Tang   +4 more
doaj   +1 more source

Flight State Identification of a Self-Sensing Wing via an Improved Feature Selection Method and Machine Learning Approaches

Sensors, 2018
In this work, a data-driven approach for identifying the flight state of a self-sensing wing structure with an embedded multi-functional sensing network is proposed.
Xi Chen, Fotis Kopsaftopoulos, Qi Wu, He Ren, Fu-Kuo Chang   +4 more
doaj   +1 more source

Signal detection of M-MIMO-orthogonal time frequency space modulation using hybrid algorithms: ZFE + MMSE and ZFE + MF

Results in Engineering
Orthogonal Time Frequency Space (OTFS) modulation, coupled with Massive Multiple Input Multiple Output (Massive-MIMO) technology, presents a promising avenue for enhancing the efficiency and reliability of fifth-generation (5G) and beyond fifth ...
Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong   +2 more
doaj   +1 more source

Benchmarking Domain Generalization Algorithms in Computational Pathology

Deep learning models have shown immense promise in computational pathology (CPath) tasks, but their performance often suffers when applied to unseen data due to domain shifts. Addressing this requires domain generalization (DG) algorithms. However, a systematic evaluation of DG algorithms in the CPath context is lacking.
Zamanitajeddin, Neda, Jahanifar, Mostafa, Xu, Kesi, Siraj, Fouzia, Rajpoot, Nasir   +4 more
openaire   +2 more sources

A Literature Review on Arabic Automatic Question Generation

مجلة العلوم الهندسية والتقنية
This comprehensive literature review is dedicated to the field of Arabic Automatic Question Generation (AQG), which focuses on the development of computational models and algorithms for the automatic generation of questions.
Abdulkhaleq Amin Abdullah, Khaled A. Al-Soufi   +1 more
doaj   +1 more source

Optimum Integration Procedures for Supercontinuum Simulation

IEEE Photonics Journal, 2012
We study numerical solutions of the generalized nonlinear Schrödinger equation (GNLSE), focusing on the advantage of integrating the nonlinear part of the equation in the frequency domain (FD), rather than in the time domain (TD), when simulating
A. A. Rieznik, A. M. Heidt, P. G. Konig, V. A. Bettachini, D. F. Grosz   +4 more
doaj   +1 more source

Mixed-Embeddings and Deep Learning Ensemble for DGA Classification With Limited Training Data

IEEE Access
Recent papers in the cybersecurity research field of Domain Generation Algorithms (DGAs) detection show the increase of performances associated with the introduction of unsupervised neural vectorized representation of domain names in the supervised ...
Christian Morbidoni, Alessandro Cucchiarelli, Luca Spalazzi   +2 more
doaj   +1 more source

Genetic algorithms for adaptive real-time control in space systems [PDF]

Genetic Algorithms that are used for learning as one way to control the combinational explosion associated with the generation of new rules are discussed.
Choudry, A., Vanderzijp, J.
core   +1 more source