<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-GHNXOLGS</identifier><date>2023</date><creator>Aknin, Noura</creator><creator>El Ghazi, Mariam</creator><relation>documents/doc/G/URN_NBN_SI_doc-GHNXOLGS_001.pdf</relation><relation>documents/doc/G/URN_NBN_SI_doc-GHNXOLGS_001.txt</relation><format format_type="issue">10</format><format format_type="volume">47</format><format format_type="type">article</format><format format_type="extent">str. 109-123</format><identifier identifier_type="DOI">10.31449/inf.v47i10.5268</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">213430275</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-GHNXOLGS</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">hiperparametri</subject><subject language_type_id="slv">prepoznavanje aktivnosti</subject><subject language_type_id="slv">senzorji</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Optimizing deep LSTM model through hyperparameter tuning for sensor-based human activity recognition in smart home</title></Record>