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ENTITY MQTT

MQTT

PulseAugur coverage of MQTT — every cluster mentioning MQTT across labs, papers, and developer communities, ranked by signal.

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Total · 30d
6
6 over 90d
Releases · 30d
0
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Papers · 30d
3
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TIER MIX · 90D
TOPICS
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_93299 ·

    New framework simplifies IoT testing with diverse device profiles

    Researchers have developed IoT-Zoo, a container-based framework designed to create realistic and reproducible experimental data for the Internet of Things. This platform, built on Containernet, supports diverse IoT devi…

  2. TOOL · CL_93194 ·

    EdgeCitadel platform streamlines AI agent orchestration at the network edge

    Researchers have developed EdgeCitadel, a new platform designed to orchestrate AI agents operating at the edge of networks. This system utilizes a hybrid NATS-MQTT approach, integrating MQTT for diverse agent connectivi…

  3. RESEARCH · CL_32018 ·

    Jneopallium project integrates diverse protocols for model building

    The Jneopallium project has released updates demonstrating its capability to build models using various data protocols and standards. These updates showcase integration with OpenTelemetry, HL7 FHIR, MQTT with Sparkplug …

  4. COMMENTARY · CL_26034 ·

    Tech entrepreneur uses AI to manage home data migration and smart devices

    A tech enthusiast and entrepreneur detailed his experience integrating AI into his home, starting with migrating his digital life to a new MacBook Pro. He utilized Claude Code, an AI assistant, to manage the complex tra…

  5. TOOL · CL_18870 ·

    Research uncovers new IoT network attack manipulating false positive alerts

    A new paper details a cyberattack called the False Positive Rate (FPR) manipulation attack (FPA), which targets industrial IoT networks. This attack exploits domain-specific knowledge of the MQTT protocol to subtly alte…

  6. RESEARCH · CL_06422 ·

    IoT-enhanced CNN detects cracks in additive manufacturing with 99.54% accuracy

    Researchers have developed an IoT-enhanced deep learning system for detecting cracks in additive manufacturing. The framework integrates real-time monitoring, edge computing, and convolutional neural networks (CNNs) to …