1. Automated newborn cry diagnostic system using machine learning approach. (March 2022) Authors: Salehian Matikolaie, Fatemeh; Kheddache, Yasmina; Tadj, Chakib Journal: Biomedical signal processing and control Issue: Volume 73(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Automatic detection of the expiratory and inspiratory phases in newborn cry signals. (May 2015) Authors: Abou-Abbas, Lina; Fersaie Alaie, Hesam; Tadj, Chakib Journal: Biomedical signal processing and control Issue: Volume 19(2015) Page Start: 35 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Characterization of infant healthy and pathological cry signals in cepstrum domain based on approximate entropy and correlation dimension. (February 2021) Authors: Lahmiri, Salim; Tadj, Chakib; Gargour, Christian; Bekiros, Stelios Journal: Chaos, solitons and fractals Issue: Volume 143(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Contextual case-based reasoning applied to a mobile device. Issue 3 (4th September 2017) Authors: Guessoum, Djamel; Miraoui, Moeiz; Tadj, Chakib Journal: International journal of pervasive computing and communications Issue: Volume 13:Issue 3(2017) Page Start: 282 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Contextual location prediction using spatio-temporal clustering. Issue 3 (5th September 2016) Authors: Guessoum, Djamel; Miraoui, Moeiz; Tadj, Chakib Journal: International journal of pervasive computing and communications Issue: Volume 12:Issue 3(2016) Page Start: 290 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Cry-Based Classification of Healthy and Sick Infants Using Adapted Boosting Mixture Learning Method for Gaussian Mixture Models. (20th December 2012) Authors: Farsaie Alaie, Hesam; Tadj, Chakib Other Names: Hara Shinsuke Academic Editor. Journal: Modelling and simulation in engineering Issue: Volume 2012(2012) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Deep learning systems for automatic diagnosis of infant cry signals. (January 2022) Authors: Lahmiri, Salim; Tadj, Chakib; Gargour, Christian; Bekiros, Stelios Journal: Chaos, solitons and fractals Issue: Volume 154(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Dynamic Context-Aware and Limited Resources-Aware Service Adaptation for Pervasive Computing. (2nd February 2012) Authors: Miraoui, Moeiz; Tadj, Chakib; Fattahi, Jaouhar; Ben Amar, Chokri Other Names: Etzkorn Letha Hughes Academic Editor. Journal: Advances in software engineering Issue: Volume 2011(2011) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Identification of diseases in newborns using advanced acoustic features of cry signals. (April 2019) Authors: Kheddache, Yasmina; Tadj, Chakib Journal: Biomedical signal processing and control Issue: Volume 50(2019) Page Start: 35 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. On the use of long-term features in a newborn cry diagnostic system. (May 2020) Authors: Salehian Matikolaie, Fatemeh; Tadj, Chakib Journal: Biomedical signal processing and control Issue: Volume 59(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗