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Introduction to Neural Networks.

Nanette S. Holder • Defense Technical Information Center (DTIC) (1992)

1. Introduction and overview of Artificial Neural Networks. 2,3. The Feed-forward Network as an inverse Problem, and results on the computational complexity of network training. 4.Physics applications of neural networks....

OPENALEX Open Access DOI: https://doi.org/10.21236/ada248258

Applications of Neural Networks in Electromagnetics

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...

OPENALEX

Pulsed Neural Networks

• The MIT Press eBooks (1998)

Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have...

OPENALEX DOI: https://doi.org/10.7551/mitpress/5704.001.0001

Capturing student interest in software engineering through gamification: a systematic literature review

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

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

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

Neuromodulation Effect According to Lesion Location After Dual-Mode Brain Stimulation in Patients with Subacute Stroke: A Preliminary Study

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

Spreading Social Influence with both Positive and Negative Opinions in Online Networks

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

Application of Robust Estimation for Time Synchronization and Retaining in Local Area Network

LIAN Yueyong,ZHANG Chao,LI Qiang • Jisuanji gongcheng (2016)

In view of the defect existed in the time synchronization of Local Area Network(LAN) using hardware and software methods,this paper introduces the principle of time synchronization in LAN and the method of robust estimation.The model of tim...

DOAJ Open Access (DOAJ) DOI: 10.3969/j.issn.1000-3428.2016.02.051

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

Numerical computation of Brownian motion and thermophoresis effects on rotational micropolar nanomaterials with activation energy

Hassan Waqas, Shan Ali Khan, Bagh Ali, Dong Liu et al. • Propulsion and Power Research (2023)

The current article investigates the numerical study of the micropolar nanofluid flow through a 3D rotating surface. This communication may manipulate for the aim such as the delivery of the drug, cooling of electronic chips, nanoscience an...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jppr.2023.05.005

A Scalable Real-Time SDN-Based MQTT Framework for Industrial Applications

E. Shahri, P. Pedreiras, L. Almeida • IEEE Open Journal of the Industrial Electronics Society (2024)

The increasing prominence of concepts such as Smart Production and Industrial Internet of Things (IIoT) within the context of Industry 4.0 has introduced a new set of requirements for the engineering of industrial systems, including support...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJIES.2024.3373232

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