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Showing 20 of 6,095 academic articles
• Bloomsbury Publishing Plc eBooks
(2000)
Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior...
OPENALEX
DOI: https://doi.org/10.5040/9781350392434
• Choice Reviews Online
(1993)
From the Publisher:
Artificial neural networks can be employed to solve a wide spectrum of problems in optimization, parallel computing, matrix algebra and signal processing. Taking a computational approach, this book explains how ANNs pro...
OPENALEX
DOI: https://doi.org/10.5860/choice.31-2156
Aarush Saxena • International Journal for Research in Applied Science and Engineering Technology
(2022)
Abstract: The field of machine learning has taken a dramatic twist in re- cent times, with the rise of the Artificial Neural Network (ANN). These biologically inspired computational models can far exceed the per- performance of previous for...
OPENALEX
Open Access
DOI: https://doi.org/10.22214/ijraset.2022.47789
Xiang-Sun Zhang • Nonconvex optimization and its applications
(2000)
OPENALEX
DOI: https://doi.org/10.1007/978-1-4757-3167-5_5
Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang • IEEE Transactions on Radiation and Plasma Medical Sciences
(2021)
Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become ...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/trpms.2021.3066428
PMC: 9105427
Julien Cornebise, Cardoso, Jaime S, Lu, Zhi, Marco Loog et al. • Lecture notes in computer science
(2016)
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-3-319-46976-8
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong • ACM Transactions on Intelligent Systems and Technology
(2019)
Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a possible solution to t...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3298981
Pratik Gajane, Pechenizkiy, Mykola • arXiv (Cornell University)
(2017)
Machine learning algorithms for prediction are increasingly being used in critical decisions affecting human lives. Various fairness formalizations, with no firm consensus yet, are employed to prevent such algorithms from systematically dis...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1710.03184
Yinying Wang • Journal of Educational Administration
(2021)
Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...
OPENALEX
DOI: https://doi.org/10.1108/jea-10-2020-0216
Matipa Ricky Ngandu, David Risinamhodzi, Godwin Pedzisai Dzvapatsva, Courage Matobobo • Discover Education
(2023)
Abstract ICT tools in education are widely used to support the aim of achieving learning outcomes by improving critical areas such as student engagement, participation, and motivation. In this study, we examine literature to explore how gam...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44217-023-00069-4
Karen I. Stocks, Sam Schramski, Arika Virapongse, Lisa Kempler • Data Science Journal
(2019)
Cyberinfrastructure (CI) is a standard tool in the geosciences, but the creation of successful CI remains difficult, and expensive projects can have significant consequences for scientific communities if they do not result in success. In th...
DOAJ
Open Access (DOAJ)
DOI: 10.5334/dsj-2019-021
Wu Wen, Yibin Huang, Xinxin Zhao, Peiying Zhang et al. • Digital Communications and Networks
(2025)
With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dcan.2025.07.003
Minji Lee, Wanjoo Park, Eunhee Park, Soon-Jae Kweon et al. • Applied Sciences
(2024)
Dual-mode non-invasive brain stimulation using repetitive transcranial magnetic stimulation and transcranial direct current stimulation is known to help neurorehabilitation in patients with stroke. However, this neuromodulation effect may v...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14219636
Ernst-Erich Doberkat, Gregor Engels, Jan Hendrik Hausmann, Marc Lohmann et al. • E-learning and Education
(2005)
eLearning supports the education in certain disciplines. Here, we report about novel eLearning concepts, techniques, and tools to support education in Software Engineering, a subdiscipline of computer science. We call this "Software Enginee...
DOAJ
Open Access (DOAJ)
Daniela S. Cruzes, Tore Dybå • Information and Software Technology
(2011)
OPENALEX
DOI: https://doi.org/10.1016/j.infsof.2011.01.004
Yingxu Wang • Auerbach Publications eBooks
(2007)
A groundbreaking book in this field, Software Engineering Foundations: A Software Science Perspective integrates the latest research, methodologies, and their applications into a unified theoretical framework. Based on the author's 30 years...
OPENALEX
DOI: https://doi.org/10.1201/9780203496091
Betty H. C. Cheng, Rogério de Lemos, Holger Giese, Paola Inverardi et al. • Lecture notes in computer science
(2009)
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-3-642-02161-9_1
XI Runping, XUE Shaohui • Jisuanji gongcheng
(2020)
The performance evaluation of existing moving target tracking algorithms has many drawbacks,such as massive amount of data,redundant tests and insufficient consideration on algorithm performance under multifactor situation.Therefore,this pa...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0054295
Ce Zhang, Wei-Gong Lv, Sheng Sheng, Jin-Yong Wang et al. • Applied Sciences
(2022)
From the perspective of FDR (fault detection rate), which is an indispensable component in reliability modeling, this paper proposes two kinds of reliability models under imperfect debugging. This model is a relatively flexible and unified ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app122110736
Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du et al. • Big Data Mining and Analytics
(2019)
Social networks are important media for spreading information, ideas, and influence among individuals. Most existing research focuses on understanding the characteristics of social networks, investigating how information is spread through t...
DOAJ
Open Access (DOAJ)
DOI: 10.26599/BDMA.2018.9020034