Browsing NTNU Open by Author "Siddiqui, Salman Ijaz"
Now showing items 1-9 of 9
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Blind deconvolution based equalizer for underwater acoustic communications
Siddiqui, Salman Ijaz; Dong, Hefeng (Journal article; Peer reviewed, 2019)Reliable and efficient underwater acoustic communications are challenging problems because of complex underwater channel properties. With the recent advancements in underwater technologies, there is a need for a robust ... -
Compensating time variability of the underwater channel for effective underwater acoustic communications
Siddiqui, Salman Ijaz (Doctoral theses at NTNU;2019:300, Doctoral thesis, 2019) -
Data-Driven Classifiers for Early Meal Detection Using ECG
Cheema, Muhammad Asaad; Patil, Pallavi; Siddiqui, Salman Ijaz; Salvo Rossi, Pierluigi; Stavdahl, Øyvind; Fougner, Anders Lyngvi (Peer reviewed; Journal article, 2023)This study investigates the potential of the electrocardiogram (ECG) to perform early meal detection, which is critical for developing a fully-functional automatic artificial pancreas. The study was conducted in a group ... -
Detection of Bowel Sounds using machine learning and the ability to use it in early meal detection
Laajab, Khadija (Master thesis, 2022)Denne oppgaven beskriver implementering av en tarmlyddetektor ved bruk av maskinlæring og muligheten til å bruke det i tidlig måltidsdeteksjon. En slik metode kan brukes til å optimalisere avanserte glukosemålere, som for ... -
Effects of water column variations on sound propagation and underwater acoustic communications
Siddiqui, Salman Ijaz; Dong, Hefeng (Journal article; Peer reviewed, 2019)Underwater sound propagation is very sensitive to geometric and environmental variations. The geometric variations are the motion of the source and/or receiver, while the environmental variations are due to surface motion ... -
Food intake monitoring using neural networks based on swallowing sound data
Isifan, Ahmed (Master thesis, 2022)Kunstig Bukspyttkjertel systemer er avhengige av Kontinuerlig Glukose Overvåkningssystemer til å måle blodsukkernivået, og basert på denne målingen beregnes insulindosen og avgis via en insulinpumpe. Disse systemer er ... -
Machine Learning for COVID-19 Detection Based on Cough Sounds
Djuve, Ådne Skjelbreid (Master thesis, 2021) -
Non-invasive sensor fusion for improved meal detection.
Bliksvær, Viljar Grimstad (Master thesis, 2021)For diabetespasienter vil økt pålitelighet og/eller minsket deteksjontid for automatisk identifisering av måltider være fordelaktig når insulin skal doseres. En tidligere og mer pålitelig indikasjon på at et måltid er ... -
Time Diversity Passive Time Reversal for Underwater Acoustic Communications
Siddiqui, Salman Ijaz; Dong, Hefeng (Journal article; Peer reviewed, 2019)Underwater acoustic signal propagation is greatly affected by source-receiver motion, surface variations, and water column variabilities, which make the underwater acoustic communications very challenging. A passive time ...