• LED

  • Referenced in 47 articles [sw18983]
  • ultra-lightweight cryptographic algorithms aiming at resource-constrained devices. In this article, we describe three...
  • KLEIN

  • Referenced in 20 articles [sw09457]
  • named KLEIN, which is designed for resource-constrained devices such as wireless sensors and RFID...
  • mCrypton

  • Referenced in 19 articles [sw09729]
  • specifically designed for use in resource-constrained tiny devices, such as low-cost RFID tags...
  • Flask

  • Referenced in 5 articles [sw09691]
  • functional programming for sensor networks. Severely resource-constrained devices present a confounding challenge ... make use of these tools on a device with ... sensor networks, collections of highly resource-constrained devices. Flask consists of a staging mechanism that...
  • Itubee

  • Referenced in 6 articles [sw19368]
  • cipher is especially suitable for resource constrained devices including an 8-bit microcontroller such...
  • PHOTON

  • Referenced in 5 articles [sw13048]
  • ultra-lightweight cryptographic algorithms aiming at resource-constrained devices. In this article, we describe three...
  • COROR

  • Referenced in 2 articles [sw12479]
  • composable rule-entailment OWL reasoner for resource-constrained devices. OWL (Web Ontology Language) reasoning ... focused on OWL reasoning for resource-constrained devices such as mobile phones or sensors. However ... network, emphasizes the need for resource-constrained reasoning. This paper presents COROR ... COmposable Rule-entailment Owl Reasoner for resource-constrained devices. What distinguishes this work from related...
  • CHAM

  • Referenced in 2 articles [sw24780]
  • family of lightweight block ciphers for resource-constrained devices. In this paper, we propose ... CHAM that has remarkable efficiency on resource-constrained devices. The family consists of three ciphers...
  • CLDC

  • Referenced in 3 articles [sw30162]
  • Configuration (CLDC); JSR 139. The Connected Limited Device Configuration (CLDC) defines the base ... interfaces and a virtual machine for resource-constrained devices like mobile phones, pagers, and mainstream...
  • DeepRT

  • Referenced in 1 article [sw36237]
  • physical systems. Recently, in mobile and embedded devices, deep learning is changing the way computers ... focused on taming deep learning for resource-constrained devices by either compressing deep learning models ... providing ’best-effort’ performance for such devices. In this paper, we present the design ... models are used under unpredictable and resource-constrained environments. In particular, DeepRT applies formal control...
  • DPWSim

  • Referenced in 1 article [sw28230]
  • profile for web services. The OASIS standard Devices Profile for Web Services (DPWS) enables ... services on smart and resource-constrained devices, which are the cornerstones of the Internet...
  • Shiftry

  • Referenced in 1 article [sw40549]
  • privacy). However, the IoT devices are much more resource constrained than the cloud, which makes ... sized models, deploying them on tiny devices with such hard memory requirements has remained elusive...
  • RADE

  • Referenced in 1 article [sw41100]
  • detection in a resource-constrained setting, such as an edge device or a loaded server ... current anomaly detection methods being too resource consuming, and in particular decision-tree based ensemble ... this need, we present RADE – a new resource-efficient anomaly detection framework that augments standard ... classifiers to perform well in a resource constrained setting. The key idea behind RADE...
  • MicroJIAC

  • Referenced in 3 articles [sw12487]
  • MicroJIAC 2.0 - The Agent Framework for Constrained Devices and Beyond. MicroJIAC 2.0 is a matured ... followed a bottom up approach starting with resource constraint devices. Consequently MicroJIAC is also usable...
  • LCNN

  • Referenced in 1 article [sw39591]
  • deep learning algorithms to resource constrained compute platforms (e.g. VR, AR, wearables) is extremely challenging ... iteration learning, two crucial aspects of on-device training of deep learning models...
  • FAN

  • Referenced in 1 article [sw40834]
  • wide application of the low-end embedded devices has largely stimulated the development of lightweight ... state respectively, making Fan suitable for resource-constrained scenarios with internal state diminishment...
  • LAPACK

  • Referenced in 1695 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Maple

  • Referenced in 5363 articles [sw00545]
  • The result of over 30 years of cutting...
  • Matlab

  • Referenced in 13460 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 9810 articles [sw00771]
  • R is a language and environment for statistical...