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Research on Fuzzy Weighted Controller for Battery Discharge of Dual-Channel Dual-Active Bridge
Aiming at the dual closed-loop control of dual-active bridge (DAB) charging and discharging circuits in energy storage devices, which is difficult to... -
Experimental evaluation of MU-MIMO in TDD environment for 5G NR using exploiting channel reciprocity
5G New Radio (NR) operates in two frequency ranges viz. Frequency Range 1 (sub-6 GHz band) and Frequency Range 2 (millimeter wave communication). It...
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Using Machine Learning for Detecting Timing Side-Channel Attacks in SDN
Software-Defined Networking (SDN) is a networking technology that allows for the programming and efficient management of networks. Due to the... -
No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis
Deep learning is a powerful direction for profiling side-channel analysis as it can break targets protected with countermeasures even with a...
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Epoch: Enabling Path Concealing Payment Channel Hubs with Optimal Path Encryption
Payment channel path information includes node identity and balance. With this public information, an attacker can initiate a recurring transaction... -
Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning
Recently, alpha matting has received a lot of attention because of its usefulness in mobile applications such as selfies. Therefore, there has been a... -
Open-Set Sensor Human Activity Recognition Based on Reciprocal Time Series
Human activity recognition (HAR) using wearable sensors has witnessed significant advancements in recent years. However, the traditional closed-set... -
An Effective Channel Selection Solution for Reliable Scheduling in Industrial IoT Networks
The IEEE 802.15.4 Time Slotted Channel Hop** (TSCH) communication mode is a key standard in the Industrial Internet of Things (IIoT). To schedule...
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HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
The rapid advancement of internet technology, widespread smartphone usage, and the rise of social media platforms have drastically transformed the... -
Correction to: Machine-Learning-Based Control of Perturbed and Heated Channel Flows
Chapter “Machine-Learning-Based Control of Perturbed and Heated Channel Flows” was previously published non-open access. It has now been changed to... -
Spatio-Channel Attention Blocks for Cross-modal Crowd Counting
Crowd counting research has made significant advancements in real-world applications, but it remains a formidable challenge in cross-modal settings.... -
Dual channel group-aware graph convolutional networks for collaborative filtering
Among the existing collaborative filtering approaches, graph-based collaborative filtering models that adopt graph convolutional networks for...
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DNN Model Theft Through Trojan Side-Channel on Edge FPGA Accelerator
In this paper, we present a novel hardware trojan assisted side-channel attack to reverse engineer DNN architectures on edge FPGA accelerators. In... -
Distributed Multi-agent Negotiation for Wi-Fi Channel Assignment
Channel allocation in dense, decentralized Wi-Fi networks is a challenging due to the highly nonlinear solution space and the difficulty to estimate... -
CPU-Doctor: when a device’s heart-beat can be an acoustic side-channel disassembler
In recent years, the ever increasing need of computing has lead to design of modern embedded computing devices that are dedicated to provide enhanced...
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A Scalable Solution for the Extended Multi-channel Facility Location Problem
We study the extended version of the non-uniform, capacitated facility location problem with multiple fulfilment channels between the facilities and... -
Graph Intelligence Enhanced Bi-Channel Insider Threat Detection
For an organization, insider intrusion generally poses far more detrimental threats than outsider intrusion. Traditionally, insider threat is... -
Marketing in the metaverse era: toward an integrative channel approach
The development pace of digital socialization has accelerated drastically in the past decade, especially with the COVID-19 pandemic. Through that...
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A prospective approach for human-to-human interaction recognition from Wi-Fi channel data using attention bidirectional gated recurrent neural network with GUI application implementation
Human Activity Recognition (HAR) research has gained significant momentum due to recent technological advancements, artificial intelligence...
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Building a YouTube Channel for Science Communication
Sharing results of research projects with the public and transferring solutions into practice is part of research projects. Typical ways are...