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Deep Learning in Cybersecurity

Yadigar İmamverdiyev, Fargana J. Abdullayeva • International Journal of Cyber Warfare and Terrorism (2020)

In this article, a review and summarization of the emerging scientific approaches of deep learning (DL) on cybersecurity are provided, a structured and comprehensive overview of the various cyberattack detection methods is conducted, existi...

OPENALEX DOI: https://doi.org/10.4018/ijcwt.2020040105

Cybersecurity

Kim Andreasson • CRC Press eBooks (2011)

The Internet has given rise to new opportunities for the public sector to improve efficiency and better serve constituents. But with an increasing reliance on the Internet, digital tools are also exposing the public sector to new risks. Thi...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1201/b11363

Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations

Saqib Saeed, Salha A. Altamimi, Norah A. Alkayyal, Ebtisam Alshehri et al. • Sensors (2023)

This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant...

OPENALEX cc-by DOI: https://doi.org/10.3390/s23156666 PMC: 10422504

Impact of Machine Learning in Natural Language Processing: A Review

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...

OPENALEX DOI: https://doi.org/10.1109/icicv50876.2021.9388380

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University) (2016)

We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During t...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1602.02830

Photonic Neural Networks: A Survey

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...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2019.2957245

Slimmable Neural Networks

Jiahui Yu, Linjie Yang, Ning Xu, Yang, Jianchao et al. • arXiv (Cornell University) (2018)

We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-efficiency trade-offs at runtime. Instead of training individua...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1812.08928

Understanding of a convolutional neural network

Saad Albawi, Tareq Abed Mohammed, Saad Al-Azawi (2017)

The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular in the literatur...

OPENALEX DOI: https://doi.org/10.1109/icengtechnol.2017.8308186

Deep Learning for Instance Retrieval: A Survey

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...

OPENALEX Open Access DOI: https://doi.org/10.1109/tpami.2022.3218591

Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making

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

PG-MACO Optimization Method for Ship Pipeline Layout

LIN Yan, JIN Tingyu, YANG Yuchao • Shanghai Jiaotong Daxue xuebao (2024)

Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, ec...

DOAJ Open Access (DOAJ) DOI: 10.16183/j.cnki.jsjtu.2022.508

Layout and Assembly Selection Algorithm for Standard Ring+Turning Ring Shield Tunnel Segments

XIONG Dongdong, YANG Zhao, XU Chao • Chengshi guidao jiaotong yanjiu (2024)

Objective To address the challenges associated with the manual layout and point selection of S+T (standard rings+turning rings (double-sided wedges)) in shield tunnel segments, including high subjectivity, complex calculations, and heavy re...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.2024.10.005

Improved PageRank Algorithm Based on User Behavior and Topic Similarity in Microblog Environment

ZHU Haodong,DING Wenxue,YANG Lizhi,FENG Jiamei • Jisuanji gongcheng (2017)

Aiming at the theme drifting and the page weight splitting of traditional PageRank algorithm,an improved PageRank algorithm is proposed.In order to improve the user query efficiency and search quality,combined with the time feedback factor,...

DOAJ Open Access (DOAJ) DOI: 10.3969/j.issn.1000-3428.2017.05.029

An Energy Efficient Distance-Aware Routing Algorithm with Multiple Mobile Sinks for Wireless Sensor Networks

Jin Wang, Bin Li, Feng Xia, Chang-Seob Kim et al. • Sensors (2014)

Traffic patterns in wireless sensor networks (WSNs) usually follow a many-to-one model. Sensor nodes close to static sinks will deplete their limited energy more rapidly than other sensors, since they will have more data to forward during m...

DOAJ Open Access (DOAJ) DOI: 10.3390/s140815163

CD44-Receptors-Mediated Multiprong Targeting Strategy Against Breast Cancer and Tumor-Associated Macrophages: Design, Optimization, Characterization, and Cytologic Evaluation

Hussain Z, Abdulrahim Abdul Moti L, Jagal J, Thu HE et al. • International Journal of Nanomedicine (2025)

Zahid Hussain,1,2 Lama Abdulrahim Abdul Moti,1 Jayalakshmi Jagal,2 Hnin Ei Thu,3 Shahzeb Khan,4 Mohsin Kazi5 1Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah, 27272, United Arab...

DOAJ Open Access (DOAJ)

IEEE Access Special Section Editorial: Toward Service-Centric Internet of Things (IoT): From Modeling to Practice

Yue Cao, Omprakash Kaiwartya, Xiaodong Xu, William Liu et al. • IEEE Access (2021)

The Internet of Things (IoT) refers to an emerging paradigm to seamlessly and ubiquitously integrate a large number of smart things with intra/inter links to the physical and cyber worlds. Sensor-enabled communication technologies connect b...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3090136

Prediction of Hypersonic Boundary Layer Transition on Ablative Rough Surfaces of Deep Space Reentry Capsules

Qi LI, Rui ZHAO, Zhi CHEN, Bin GUO et al. • 气体物理 (2024)

In order to improve aerodynamic deceleration efficiency, deep space reentry capsules generally adopt large blunt windward shape and ablative heat protection system. However, factors such as the flat forebody shape and the sharp increase in ...

DOAJ Open Access (DOAJ) DOI: 10.19527/j.cnki.2096-1642.1073