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  1. Jun 8, 2023 · Want to read this article: Want to read this article:https://amazfeed.com/dead-still-season-2-release-date/Instagram vhttps://www.instagram.com/amazfeedFace...

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  2. en.wikipedia.org › wiki › Dead_StillDead Still - Wikipedia

    Dead Still is a six-part Irish-Canadian television drama series, which premiered on May 18, 2020 on Acorn TV and May 15, 2020 Citytv. [1] The series is a co-production between Ireland's Deadpan Pictures and Canada's Shaftesbury Films and is written by John Morton, from a story by John Morton and Imogen Murphy , and directed by Imogen Murphy and ...

  3. Play trailer 1:01. 1 Video. 68 Photos. Comedy Crime Drama Mystery. Set in 1880s Ireland in the Victorian-era heyday of 'postmortem photography,' the six-episode period drama follows a renowned memorial photographer who is drawn into a series of apparent murders that appear to be linked to his work. Creator.

    • (1.7K)
    • 2020-05-18
    • Comedy, Crime, Drama
    • 48
  4. Enamul Haque The antiperovskites based on metal halides have emerged as potential materials for advanced photovoltaic and electronic device applications. But the wide bandgap of non-toxic...

  5. AKE Haque, MN Murty, P Shyamsundar. Cambridge University Press. , 2011. 42. 2011. Sanitary and phyto-sanitary barriers to trade and its impact on the environment: the case of shrimp farming in Bangladesh. AKE Haque. IUCN-The World Conservation Union, Bangladesh Country Office.

  6. Dr Haque currently working as an Associate Professor (Electrical Engg and Renewable Energy) in the School of Engineering, Deakin University Australia. His research interests include Renewable energy (wind, Solar PV), Electric vehicles, Battery and supercapacitor energy storage, Digital twin for Microgrid, Smart grid, Cyber security in energy ...

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  8. 34. 2021. A machine learning model for predicting individual substance abuse with associated risk-factors. UI Islam, E Haque, D Alsalman, MN Islam, MA Moni, IH Sarker. Annals of Data Science 10 (6), 1607-1634. , 2023. 18. 2023. Predicting individual substance abuse vulnerability using machine learning techniques.

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