Future Generation Computer Systems, Volume 133

Volume 133, August 2022

Regular papers

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  Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
  Dynamic defense against byzantine poisoning attacks in federated learning. 1-9

Special Issue on Explainable Artificial Intelligence for Healthcare

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  Tengyue Li, Simon Fong, Sabah Mohammed, Jinan Fiaidhi, Steven Guan, Victor Chang:
  Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning. 10-22

Regular papers

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  Alexandre F. Boyer, Christophe Haen, Federico Stagni, David R. C. Hill:
  DIRAC Site Director: Improving Pilot-Job provisioning on grid resources. 23-38
• 
  Nikhil Kumar, Divya Lohani, Debopam Acharya:
  Vehicle accident sub-classification modeling using stacked generalization: A multisensor fusion approach. 39-52
• 
  José Ángel Morell Martínez, Enrique Alba:
  Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices. 53-67

Special Issue on Explainable Artificial Intelligence for Healthcare

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  Sergio Martínez-Agüero, Cristina Soguero-Ruíz, Jose Maria Alonso-Moral, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marques:
  Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. 68-83

Regular papers

• 
  Yousung Yang, Seongsoo Lee, Joohyung Lee:
  Video analytics-based real-time intelligent crossing detection system (RICDS): Killer app for edge computing. 84-94
• 
  Inês Martins, João S. Resende, Patrícia R. Sousa, Simão Silva, Luis Antunes, João Gama:
  Host-based IDS: A review and open issues of an anomaly detection system in IoT. 95-113
• 
  Aria Ghora Prabono, Bernardo Nugroho Yahya, Seok-Lyong Lee:
  Multiple-instance domain adaptation for cost-effective sensor-based human activity recognition. 114-123
• 
  Noé Godinho, Henrique Silva, Marília Curado, Luís Paquete:
  A reconfigurable resource management framework for fog environments. 124-140
• 
  Amit Kumar Dwivedi, Naveen Kumar, Manik Lal Das:
  Group data freshness scheme for outsourced data in distributed systems. 141-152
• 
  Hüseyin Aydin, Erkin Çilden, Faruk Polat:
  Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states. 153-168

Special Issue on Artificial Intelligence: The Security & Privacy Opportunities and Challenges for Emerging Applications

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  Qin Liu, Guojun Wang, Jiankun Hu, Jie Wu:
  Preface of special issue on Artificial Intelligence: The security & privacy opportunities and challenges for emerging applications. 169-170

Special Issue on Future-Generation Personality Prediction From Digital Footprints

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  Atika Mbarek, Salma Jamoussi, Abdelmajid Ben Hamadou:
  An across online social networks profile building approach: Application to suicidal ideation detection. 171-183

Regular papers

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  Maurizio Leotta, Dario Olianas, Filippo Ricca:
  A large experimentation to analyze the effects of implementation bugs in machine learning algorithms. 184-200

Review papers

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  Aisha Muhammad A. Hamdi, Farookh Khadeer Hussain, Omar Khadeer Hussain:
  Task offloading in vehicular fog computing: State-of-the-art and open issues. 201-212

Regular papers

• 
  Ying Zhang, Qiang Liu:
  On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples. 213-227
• 
  Jiagang Liu, Xinyu Zhang:
  Truthful resource trading for dependent task offloading in heterogeneous edge computing. 228-239

Review papers

• 
  André Francisco Morielo Caetano, Celso Massaki Hirata, Rodrigo Rocha Silva:
  A comparative study of cluster-based Big Data Cube implementations. 240-253

Regular papers

• 
  Hui Qi, Yingjun Guo, Dinghui Hou, Ziyang Xing, Weiwu Ren, Ligang Cong, Xiaoqiang Di:
  SDN-based dynamic multi-path routing strategy for satellite networks. 254-265
• 
  Mirna Awad, Nadjia Kara, Claes Edstrom:
  SLO-aware dynamic self-adaptation of resources. 266-280

Special Issue on Explainable Artificial Intelligence for Healthcare

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  Theodore Evans, Carl Orge Retzlaff, Christian Geißler, Michaela Kargl, Markus Plass, Heimo Müller, Tim-Rasmus Kiehl, Norman Zerbe, Andreas Holzinger:
  The explainability paradox: Challenges for xAI in digital pathology. 281-296

Regular papers

• 
  Fan Meng, Danya Xu, Tao Song:
  ATDNNS: An adaptive time-frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting. 297-306
• 
  Sanaullah Manzoor, Adnan Noor Mian, Ahmed Zoha, Muhammad Ali Imran:
  Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks. 307-319
• 
  Xin He, Haochen Yang, Guanghui Wang, Junyang Yu:
  Towards trusted node selection using blockchain for crowdsourced abnormal data detection. 320-330

Special Issue on Explainable Artificial Intelligence for Healthcare

• 
  Siyuan Li, Guangji Huang, Xing Xu, Huimin Lu:
  Query-based black-box attack against medical image segmentation model. 331-337

Regular papers

• 
  Muhammad Awais, Shahzaib Tahir, Fawad Khan, Hasan Tahir, Ruhma Tahir, Rabia Latif, Mir Yasir Umair:
  A novel searchable encryption scheme to reduce the access pattern leakage. 338-350
• 
  Subir Halder, Thomas Newe:
  Enabling secure time-series data sharing via homomorphic encryption in cloud-assisted IIoT. 351-363
• 
  Ramtin Aryan, Anis Yazidi, Frode Brattensborg, Øivind Kure, Paal Einar Engelstad:
  SDN Spotlight: A real-time OpenFlow troubleshooting framework. 364-377
• 
  Mieszko Makuch, Maciej Malawski, Joanna Kocot, Tomasz Szepieniec:
  Model and system for scientific workflows represented in file system directory tree. 378-394
• 
  He Yan, Liyong Fu, Yong Qi, Dong-Jun Yu, Qiaolin Ye:
  Robust ensemble method for short-term traffic flow prediction. 395-410