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Compute-in-memory (CIM) accelerators for spiking neural networks (SNNs) are promising solutions to enable $\mu$s-level inference latency and ultra-low energy in edge vision applications. Yet, their current lack of flexibility at both the…

Hardware Architecture · Computer Science 2024-10-31 Nicolas Chauvaux , Adrian Kneip , Christoph Posch , Kofi Makinwa , Charlotte Frenkel

Emerging processor architectures such as GPUs and Intel MICs provide a huge performance potential for high performance computing. However developing software using these hardware accelerators introduces additional challenges for the…

Computational Physics · Physics 2016-09-21 Andreas Adelmann , Uldis Locans , Andreas Suter

Modern database management systems (DBMSs) expose hundreds of configuration knobs that critically influence performance. Existing automated tuning methods either adopt a data-driven paradigm, which incurs substantial overhead, or rely on…

Big data analytics (BDA) applications use machine learning algorithms to extract valuable insights from large, fast, and heterogeneous data sources. New software engineering challenges for BDA applications include ensuring performance…

Software Engineering · Computer Science 2020-11-18 Camilo Castellanos , Carlos A. Varela , Dario Correal

As the development of autonomous and connected vehicles advances, the complexity of modern vehicles increases, with numerous Electronic Control Units (ECUs) integrated into the system. In an in-vehicle network, these ECUs communicate with…

Machine Learning · Computer Science 2025-06-10 Long Dang , Thushari Hapuarachchi , Kaiqi Xiong , Yi Li

In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralized control, scalability and reliability requirements. In such networking paradigm,…

Networking and Internet Architecture · Computer Science 2018-12-04 Ziyao Zhang , Liang Ma , Konstantinos Poularakis , Kin K. Leung , Lingfei Wu

Machine-part interaction classification is a key capability required by Cyber-Physical Systems (CPS), a pivotal enabler of Smart Manufacturing (SM). While previous relevant studies on the subject have primarily focused on time series…

Machine Learning · Computer Science 2021-12-10 Hao Wang , Yassine Qamsane , James Moyne , Kira Barton

Recently, there has been an interest in improving the resources available in Intrusion Detection System (IDS) techniques. In this sense, several studies related to cybersecurity show that the environment invasions and information kidnapping…

Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent years to address the weaknesses in traditional networks. The significant feature of the SDN, which is achieved by disassociating the control plane from the…

Cryptography and Security · Computer Science 2020-06-26 Mahmoud Said Elsayed , Nhien-An Le-Khac , Soumyabrata Dev , Anca Delia Jurcut

Simultaneous perception of 2D objects in perspective view and 3D objects in Bird's Eye View (BEV) is challenging for multi-camera autonomous driving. Existing two-stage pipelines use 2D results only as a one-time cue for 3D detection. We…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Yingqi Tang , Zhaotie Meng , Erkang Cheng , Haibin Ling

The Detector Safety System (DSS), currently being developed at CERN under the auspices of the Joint Controls Project (JCOP), will be responsible for assuring the protection of equipment for the four LHC experiments. Thus, the DSS will…

High Energy Physics - Experiment · Physics 2007-05-23 S. Lueders , R. B. Flockhart , G. Morpurgo , S. M. Schmeling

Water distribution networks are a key component of modern infrastructure for housing and industry. They transport and distribute water via widely branched networks from sources to consumers. In order to guarantee a working network at all…

Machine Learning · Computer Science 2022-04-05 Jonathan Jakob , André Artelt , Martina Hasenjäger , Barbara Hammer

The exponential increase in the number of malicious threats on computer networks and Internet services due to a large number of attacks makes the network security at continuous risk. One of the most prevalent network attacks that threaten…

Networking and Internet Architecture · Computer Science 2018-09-10 Ghazi Al-Naymat , Mouhammd Al-kasassbeh , Eshraq Al-Hawari

This paper further explores our previous wake word spotting system ranked 2-nd in Track 1 of the MISP Challenge 2021. First, we investigate a robust unimodal approach based on 3D and 2D convolution and adopt the simple attention module…

Sound · Computer Science 2023-03-07 Haoxu Wang , Ming Cheng , Qiang Fu , Ming Li

In advanced manufacturing, the incorporation of sensing technology provides an opportunity to achieve efficient in-situ process monitoring using machine learning methods. Meanwhile, the advances of information technologies also enable a…

Machine Learning · Computer Science 2023-07-27 Zhangyue Shi , Yuxuan Li , Chenang Liu

Recently, several spatial-temporal memory-based methods have verified that storing intermediate frames and their masks as memory are helpful to segment target objects in videos. However, they mainly focus on better matching between the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-19 Yong Liu , Ran Yu , Fei Yin , Xinyuan Zhao , Wei Zhao , Weihao Xia , Yujiu Yang

Automated visual inspection in the semiconductor industry aims to detect and classify manufacturing defects utilizing modern image processing techniques. While an earliest possible detection of defect patterns allows quality control and…

Machine Learning · Computer Science 2024-06-11 Tobias Schlosser , Frederik Beuth , Michael Friedrich , Danny Kowerko

With the growing rates of cyber-attacks and cyber espionage, the need for better and more powerful intrusion detection systems (IDS) is even more warranted nowadays. The basic task of an IDS is to act as the first line of defense, in…

Cryptography and Security · Computer Science 2022-09-14 Mikel K. Ngueajio , Gloria Washington , Danda B. Rawat , Yolande Ngueabou

The quality of industrial components is critical to the production of special equipment such as robots. Defect inspection of these components is an efficient way to ensure quality. In this paper, we propose a hybrid network, SSD-Faster Net,…

Computer Vision and Pattern Recognition · Computer Science 2022-07-05 Jingyao Wang , Naigong Yu