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Journal on Reliable Intelligent Environments, Volume 9
Volume 9, Number 1, March 2023
- Ivan Izonin
, Patrizia Ribino
Smart technologies and its application for medical/healthcare services. 1-3 - Tetiana Hovorushchenko
Methods of medical data management based on blockchain technologies. 5-16 - Olena Pavliuk
Machine-learning method for analyzing and predicting the number of hospitalizations of children during the fourth wave of the COVID-19 pandemic in the Lviv region. 17-26 - Anna Ferrari
Deep learning and model personalization in sensor-based human activity recognition. 27-39 - Dmytro Vakulenko
Components of Oranta-AO software expert system for innovative application of blood pressure monitors. 41-56 - Jagmohan Kaur
Back propagation artificial neural network for diagnose of the heart disease. 57-85 - Rob Dunne
A semantic blocks model for human activity prediction in smart environments using time-windowed contextual data. 87-95
Volume 9, Number 2, June 2023
- Antonio Coronato
Editorial. 97-98 - Oluwatobi Adeleke
A machine learning approach for investigating the impact of seasonal variation on physical composition of municipal solid waste. 99-118 - Hong Linh Truong
Making distributed edge machine learning for resource-constrained communities and environments smarter: contexts and challenges. 119-134 - Daniel O. Aikhuele, Herold U. Nwosu, Desmond Eseoghene Ighravwe:
Data-driven model for the evaluation of the reliability of sensors and actuators used in IoT system architecture. 135-145 - Soodeh Hosseini, Saman Rafiee Sardo:
Network intrusion detection based on deep learning method in internet of thing. 147-159 - Khadidja Chaoui
SUIL: a modeling language for spatial user interaction. 161-181 - Md. Mijanur Rahman
A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting. 183-200 - Yassine Maleh
A comprehensive survey on SDN security: threats, mitigations, and future directions. 201-239 - G. Navabharat Reddy
Literature review and research direction towards channel estimation and hybrid pre-coding in mmWave massive MIMO communication systems. 241-260
Volume 9, Number 3, September 2023
- Simona Bernardi, Matthias Eckhart
Dependable and secure infrastructures and systems in intelligent environments. 261-262 - Francesco Mariotti
An extension of the ADVISE Meta modeling framework and its application for an early-stage security analysis of a public transport supervision system. 263-281 - Pablo Gil Pereira, Kai Vogelgesang, Moritz Miodek, Andreas Schmidt, Thorsten Herfet:
DeepSHARQ: hybrid error coding using deep learning. 283-301 - Lorenzo De Donato, Ruth Dirnfeld, Alessandra Somma
Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture. 303-317 - Francis Njoka
Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya. 319-331 - Varun Prabhakaran, Ashokkumar Kulandasamy:
mLBOA-DML: modified butterfly optimized deep metric learning for enhancing accuracy in intrusion detection system. 333-347 - Venkatesh Upadrista
Secure data sharing with blockchain for remote health monitoring applications: a review. 349-368
Volume 9, Number 4, December 2023
- Juan Carlos Augusto, Antonio Coronato
Editorial. 369-370 - Shiwei Lin
Helix-HPSO approach for UAV path planning in a multi-building environment. 371-384 - Pushpendu Kar
An intelligent lighting control system for individual visual comfort and energy savings in buildings. 385-398 - Opeoluwa I. Owolabi
FEM and ANN approaches to wind turbine gearbox monitoring and diagnosis: a mini review. 399-419 - Maryam Douiba, Said Benkirane, Azidine Guezzaz, Mourad Azrour
Anomaly detection model based on gradient boosting and decision tree for IoT environments security. 421-432 - Peiqian Liu, Shangchen Xie, Zihao Shen, Hui Wang:
Learning-based small cell base station selection scheme involving location privacy in service migration. 433-445 - Sanaz Zamani
Privacy, reputation, and incentive provision for vehicular social networks. 447-461 - Mradula Sharma
XLAAM: explainable LSTM-based activity and anomaly monitoring in a fog environment. 463-477
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