Items where Author is "Konios, A"

Journal article

SERAJ, S., SADIQ, A.S., KAIWARTYA, O., ALJAIDI, M., KONIOS, A., ALI, M. and ABAZEED, M., 2024. MoBShield: a novel XML approach for securing mobile banking. Computers, Materials and Continua. ISSN 1546-2218 (Forthcoming)

KHALAF, B.A., OTHMAN, S.H., RAZAK, S.A. and KONIOS, A., 2024. A hybrid deep learning model for securing smart city networks against flooding attack. Journal of Cybersecurity and Information Management, 14 (2), pp. 311-322. ISSN 2769-7851

CHRISTOPOULOS, S.-R.G., PAPADOPOULOU, K.A., KONIOS, A. and PARFITT, D., 2022. DIMS: a tool for setting up defects and impurities CASTEP calculations. Computational Materials Science, 202: 110976. ISSN 0927-0256

EKERETE, I., GARCIA-CONSTANTINO, M., KONIOS, A., MUSTAFA, M.A., DIAZ-SKEETE, Y., NUGENT, C. and MCLAUGHLIN, J., 2021. Fusion of unobtrusive sensing solutions for home-based activity recognition and classification using data mining models and methods. Applied Sciences, 11 (19): 9096. ISSN 2076-3417

MUSTAFA, M.A., KONIOS, A. and GARCIA-CONSTANTINO, M., 2021. IoT-based activities of daily living for abnormal behavior detection: privacy issues and potential countermeasures. IEEE Internet of Things Magazine, 4 (3), pp. 90-95. ISSN 2576-3180

Chapter in book

ZEPEDA-GIL, C., GARCIA-CONSTANTINO, M. and KONIOS, A., 2024. Design of low-cost sensor-based solution to support thermal comfort. In: Proceedings of the 16th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2024). Lecture notes in networks and systems . Cham: Springer Cham.

KONIOS, A., GARCIA-CONSTANTINO, M., EKERETE, I., MUSTAFA, M.A., LOPEZ-NAVA, I.H. and ALTAMIRANO-FLORES, Y.V., 2024. Use of thermal sensor data for personalised mood detection in activities of daily living (ADLs). In: Proceedings of the 16th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2024). Lecture notes in networks and systems . Cham: Springer Cham.

ALTAMIRANO-FLORES, Y.V., KONIOS, A., LOPEZ-NAVA, I.H., GARCIA-CONSTANTINO, M., EKERETE, I. and MUSTAFA, M.A., 2023. Analysis of accelerometer data for personalised mood detection in activities of daily living. In: Proceedings of the 21st International Conference on Pervasive Computing and Communications (PerCom 2023). Piscataway: Institute of Electrical and Electronics Engineers.

ORTIZ-BARRIOS, M., ESPELETA-ARIS, A., JIMÉNEZ-DELGADO, G., CELANI-DE SOUZA, H.J., SANTANA-DE OLIVEIRA, J., KONIOS, A., CAMPIS- FREYLE, L. and NAVARRO-JIMENEZ, E., 2023. A hybrid multi-criteria framework for evaluating the performance of clinical labs during the Covid-19 pandemic. In: UNSPECIFIED Springer. (Forthcoming)

KONIOS, A., KHAN, Y.I., GARCIA-CONSTANTINO, M. and LOPEZ-NAVA, I.H., 2023. A modular framework for modelling and verification of activities in ambient intelligent systems. In: UNSPECIFIED Springer. (Forthcoming)

GARCIA-CONSTANTINO, M., KONIOS, A., LOPEZ-NAVA, I.H., POULIET, P., EKERETE, I., MUSTAFA, M.A., NUGENT, C. and MORRISON, G., 2023. Analysis of accelerometer data for personalised abnormal behaviour detection in activities of daily living. In: J. BRAVO, S. OCHOA and J. FAVELA, eds., Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2022). Lecture notes in networks and systems (594). Cham: Springer International Publishing, pp. 302-313. ISBN 9783031213328