{"url":"/dataset/poisoned-water-detection-using-smartphone","name":"Poisoned Water Detection using Smartphone embedded WiFi CSI data and Machine Learning Algorithms","full_name":"Dataset and machine learning algorithms to detect poisoned water from clean water via using Smartphone embedded Wi-Fi CSI data.","description_markdown":"This repository contains a dataset and machine learning algorithms to detect poisoned water from clean water via using equivalent Smartphone embedded Wi-Fi CSI data.\r\n\r\nThe machine learning algorithm (including k-NN, SVM, LSTM, and Ensemble) are written in MATLAB code!\r\n\r\nThe testbed is shown in img/p1.jpg\r\n\r\nThe equivalent Smartphone embedded Wi-Fi chipsets are shown in img/p2.jpg\r\n\r\nThe amplitude and phase measurements of the Wi-Fi CSI data are selected as vector features!\r\n\r\nEach of these vectors includes 64 feature values, i.e. the amplitude vector has 64 values, and the phase vector has 64 values.\r\n\r\nThe method provides accurate classification results starting from 82% (via k-NN) up to 92% (via Ensemble)\r\n\r\nThis research and dataset are supported and created by a group of researchers from Koya University (https://www.koyauniversity.org/)\r\n\r\nNote, any researchers or authors should cite the article, by using the following:\r\n\r\nMaghdid, H.S., Salah, S.R., Hawre, A.T., Bayram, H.M., Sabir, A.T., Kaka, K.N., Taher, S.G., Abdulrahman, L.S., Al-Talabani, A.K., Asaad, S.M., & Asaad, A.T. (2023). A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms.","description_withheld":null,"homepage":"https://github.com/halgurd18/poisoned_water_detection","introduced_date":"2023-02-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-novel-poisoned-water-detection-method-using","title":"A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms","first_author":"Halgurd S. Maghdid","url":null},"license":{"name":"arXiv:2302.07153 [eess.SP]","url":null},"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"},{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"Tables","url":"/datasets/modality/tables"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Poisoned Water Detection using Smartphone embedded WiFi CSI data and Machine Learning Algorithms"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}