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Academic Articles & Research Papers
Showing 20 of 1,508 academic articles
Eric A. Fischer • University of North Texas Digital Library (University of North Texas)
(2014)
The information and communications technology (ICT) industry has evolved greatly over the last half century. The technology is ubiquitous and increasingly integral to almost every facet of modern society. ICT devices and components are gene...
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Nir Kshetri • Markets Globalization & Development Review
(2016)
While scholars and policymakers have realized the importance of information and communication technologies in economic development, relatively less attention has been given to the role of cybersecurity. This research sheds light on issues a...
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DOI: https://doi.org/10.23860/mgdr-2016-01-02-03
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
V Ranjit, Suchitra Naik • International Journal of Computing Algorithm
(2023)
A branch of computer science and AI called natural language processing is focused on how computers and human languages interact.In order for computers to interpret written and spoken human language without the use of computer-driven languag...
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DOI: https://doi.org/10.20894/ijcoa.101.012.002.001
Tatwadarshi P. Nagarhalli, Vinod Moreshwar Vaze, Nirav Pravinsinh Rana • International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
(2021)
The recent times have seen unprecedented growth in research and development in the field of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning and Natural Language Processing. The new found excite...
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DOI: https://doi.org/10.1109/icicv50876.2021.9388380
Kevin Crowston, Eileen E. Allen, Robert Heckman • International Journal of Social Research Methodology
(2011)
Social researchers often apply qualitative research methods to study groups and their communications artifacts. The use of computer-mediated communications has dramatically increased the volume of text available, but coding such text requir...
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DOI: https://doi.org/10.1080/13645579.2011.625764
Lotfi A. Zadeh • Communications of the ACM
(1994)
article Free Access Share on Fuzzy logic, neural networks, and soft computing Author: Lotfi A. Zadeh Univ. of California, Berkeley Univ. of California, BerkeleyView Profile Authors Info & Claims Communications of the ACMVolume 37Issue 3Marc...
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Open Access
DOI: https://doi.org/10.1145/175247.175255
Mikhail Yurochkin, Mayank Agarwal, Ghosh, Soumya, Kristjan H. Greenewald et al. • arXiv (Cornell University)
(2019)
In federated learning problems, data is scattered across different servers and exchanging or pooling it is often impractical or prohibited. We develop a Bayesian nonparametric framework for federated learning with neural networks. Each data...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1905.12022
Danilo P. Mandic, Jonathon A. Chambers • Wiley eBooks
(2001)
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...
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DOI: https://doi.org/10.1002/047084535x
Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele et al. • arXiv (Cornell University)
(2018)
In recent years, deep neural networks have revolutionized many application domains of machine learning and are key components of many critical decision or predictive processes. Therefore, it is crucial that domain specialists can understand...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1808.04260
Timothy X. Brown • IEEE Communications Magazine
(1989)
The author argues that a strong impetus for using neural networks is that they provide a framework for designing massively parallel machines. He notes that the highly interconnected architecture of switching networks suggests similarities t...
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DOI: https://doi.org/10.1109/35.41403
Lorenzo De Marinis, Marco Cococcioni, P. Castoldi, Nicola Andriolli • IEEE Access
(2019)
Photonic solutions are today a mature industrial reality concerning high speed, high throughput data communication and switching infrastructures. It is still a matter of investigation to what extent photonics will play a role in next-genera...
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DOI: https://doi.org/10.1109/access.2019.2957245
Mike Schuster, Kuldip K. Paliwal • IEEE Transactions on Signal Processing
(1997)
In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network (BRNN). The BRNN can be trained without the limitation of using input information just up to a preset future f...
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DOI: https://doi.org/10.1109/78.650093
Christos Christodoulou, Michael Georgiopoulos • CERN Document Server (European Organization for Nuclear Research)
(2001)
From the Book:
Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...
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David E. Rumelhart, Bernard Carlos Widrow, Michael A. Lehr • Communications of the ACM
(1994)
article Free AccessThe basic ideas in neural networks Authors: David E. Rumelhart Stanford Univ., Stanford, CA Stanford Univ., Stanford, CAView Profile , Bernard Widrow Stanford Univ., Stanford, CA Stanford Univ., Stanford, CAView Profile ,...
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Open Access
DOI: https://doi.org/10.1145/175247.175256
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
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
Miaohui Wang, Wuyuan Xie, Jian Xiong, Dayong Wang et al. • IEEE Access
(2019)
In high efficiency video coding (HEVC), transformation and quantization are separately performed to eliminate the perceptual redundancy of visual signals. However, a uniform quantizer can inevitably degrade the compression efficiency of fix...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2917260
Yogita K. Dubey, Milind M. Mushrif • Advances in Fuzzy Systems
(2016)
The study of brain disorders requires accurate tissue segmentation of magnetic resonance (MR) brain images which is very important for detecting tumors, edema, and necrotic tissues. Segmentation of brain images, especially into three main t...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2016/3406406