From 1e36f0a09b68e1672e0ae95360c7755d4270fcbe Mon Sep 17 00:00:00 2001 From: david Date: Fri, 10 May 2024 14:13:02 -0700 Subject: [PATCH 1/3] video fix --- .../water-pollution-detection-arduino-nano-esp32.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/air-quality-and-environmental-projects/water-pollution-detection-arduino-nano-esp32.md b/air-quality-and-environmental-projects/water-pollution-detection-arduino-nano-esp32.md index dae5f37f..e9b4ff25 100644 --- a/air-quality-and-environmental-projects/water-pollution-detection-arduino-nano-esp32.md +++ b/air-quality-and-environmental-projects/water-pollution-detection-arduino-nano-esp32.md @@ -9,6 +9,8 @@ Created By: Kutluhan Aktar Public Project Link: [https://studio.edgeimpulse.com/public/366673/latest](https://studio.edgeimpulse.com/public/366673/latest) +{% embed url="https://www.youtube.com/watch?v=MFTXcNMNgSU" %} + ## Description Even though most of us consider water contamination as a gradual occurrence, especially for thriving landscapes, impending pollution can pervade water bodies instantaneously. In the case of enclosed water bodies such as closed lakes, pernicious contaminants can arise in a week and threaten aquatic environments despite not manifesting any indications. These furtively spreading pollutants can even impinge on the health of terrestrial animals by not only poisoning precious water sources but also withering aquatic plants. From 5471c0454663f8ba8390fd6a17422ea6356ccade Mon Sep 17 00:00:00 2001 From: david Date: Fri, 10 May 2024 14:22:59 -0700 Subject: [PATCH 2/3] credit --- audio-projects/compressor-audio-classification-rasynboard.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/audio-projects/compressor-audio-classification-rasynboard.md b/audio-projects/compressor-audio-classification-rasynboard.md index 6ff27fe2..b2decef5 100644 --- a/audio-projects/compressor-audio-classification-rasynboard.md +++ b/audio-projects/compressor-audio-classification-rasynboard.md @@ -15,6 +15,8 @@ Most industrial settings such as pumping facilities, heating, ventilation, and a ![](../.gitbook/assets/compressor-audio-classification-rasynboard/heavy-machinery.jpg) +*Image credit [hdbernd](https://unsplash.com/@hdbernd) on Unsplash. + Predictive Maintenance using machine learning aims to solve for this problem, by identifying and acting upon anomalies in machinery health. ## Hardware From 623b1780b21267301227649118407cba123bfbde Mon Sep 17 00:00:00 2001 From: david Date: Thu, 16 May 2024 18:11:39 -0700 Subject: [PATCH 3/3] FOMO-AD --- .../fomo-ad-ti-tda4vm/anomaly-result.jpg | Bin 0 -> 50346 bytes .gitbook/assets/fomo-ad-ti-tda4vm/cluster.jpg | Bin 0 -> 79509 bytes .../assets/fomo-ad-ti-tda4vm/conclusion.jpg | Bin 0 -> 759216 bytes .../confidence-threshold.jpg | Bin 0 -> 240856 bytes .../assets/fomo-ad-ti-tda4vm/connection.jpg | Bin 0 -> 28172 bytes .gitbook/assets/fomo-ad-ti-tda4vm/cover.jpg | Bin 0 -> 493497 bytes .../assets/fomo-ad-ti-tda4vm/deployment.jpg | Bin 0 -> 259148 bytes .../assets/fomo-ad-ti-tda4vm/flash-sd.jpg | Bin 0 -> 131962 bytes .../assets/fomo-ad-ti-tda4vm/how-it-works.jpg | Bin 0 -> 147157 bytes .gitbook/assets/fomo-ad-ti-tda4vm/impulse.jpg | Bin 0 -> 174223 bytes .../assets/fomo-ad-ti-tda4vm/limitations.jpg | Bin 0 -> 187238 bytes .../fomo-ad-ti-tda4vm/neural-network.jpg | Bin 0 -> 307447 bytes .gitbook/assets/fomo-ad-ti-tda4vm/parts.jpg | Bin 0 -> 152055 bytes .gitbook/assets/fomo-ad-ti-tda4vm/sftp.jpg | Bin 0 -> 562350 bytes .gitbook/assets/fomo-ad-ti-tda4vm/ssh.jpg | Bin 0 -> 67081 bytes README.md | 1 + SUMMARY.md | 1 + image-projects/fomo-ad-ti-tda4vm.md | 188 ++++++++++++++++++ 18 files changed, 190 insertions(+) create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/anomaly-result.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/cluster.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/conclusion.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/confidence-threshold.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/connection.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/cover.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/deployment.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/flash-sd.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/how-it-works.jpg create mode 100644 .gitbook/assets/fomo-ad-ti-tda4vm/impulse.jpg create mode 100644 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