Future Generation Computer Systems, Volume 149

Volume 149, December 2023

Special Issue on Heterogeneous Information Network Embedding and Applications

• 
  Imran Ahmed, Misbah Ahmad, Abdellah Chehri, Gwanggil Jeon:
  A heterogeneous network embedded medicine recommendation system based on LSTM. 1-11

Special Issue on Federated Learning on the Edge: Challenges and Future Directions

• 
  Tian Qin, Guang Cheng, Yichen Wei, Zifan Yao:
  Hier-SFL: Client-edge-cloud collaborative traffic classification framework based on hierarchical federated split learning. 12-24

Special Issue on Advances in Algorithms, Models, Hardware and Software for Next-Generations HPC Systems

• 
  Rafael Ravedutti Lucio Machado, Jan Eitzinger, Jan Laukemann, Georg Hager, Harald Köstler, Gerhard Wellein:
  MD-Bench: A performance-focused prototyping harness for state-of-the-art short-range molecular dynamics algorithms. 25-38

Regular papers

• 
  Abbas Haghi, Santiago Marco-Sola, Lluc Alvarez, Dionysios Diamantopoulos, Christoph Hagleitner, Miquel Moretó:
  WFA-FPGA: An efficient accelerator of the wavefront algorithm for short and long read genomics alignment. 39-58
• 
  Alessio Luciani, Emanuele Panizzi:
  Street direction classification using implicit vehicle crowdsensing and deep learning. 59-70
• 
  Ghazanfar Ali, Mert Side, Sridutt Bhalachandra, Nicholas J. Wright, Yong Chen:
  An automated and portable method for selecting an optimal GPU frequency. 71-88

Special Issue on Federated Learning on the Edge: Challenges and Future Directions

• 
  Md. Mustakin Alam, Tanjim Ahmed, Meraz Hossain, Mehedi Hasan Emo, Md. Kausar Islam Bidhan, Md. Tanzim Reza, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Francesco Pupo, Giancarlo Fortino:
  Federated Ensemble-Learning for Transport Mode Detection in Vehicular Edge Network. 89-104

Regular papers

• 
  Feng Li, Fengguang Song:
  Efficient in-situ workflow planning for geographically distributed heterogeneous environments. 105-121

Special Issue on Integration of Machine Learning and Edge Computing for Next Generation of Smart Wearable Systems

• 
  Yvan Tortorella, Luca Bertaccini, Luca Benini, Davide Rossi, Francesco Conti:
  RedMule: A mixed-precision matrix-matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration. 122-135

Special Issue on Future-Generation Attack and Defense in Neural Networks

• 
  Zhi-Yuan Zhang, Hao Ren, Zhenli He, Wei Zhou, Di Liu:
  Improving robustness of convolutional neural networks using element-wise activation scaling. 136-149

Special Issue on Federated Learning on the Edge: Challenges and Future Directions

• 
  Shan Xiao, Chunyi Wu:
  Explore deep reinforcement learning for efficient task processing based on federated optimization in big data. 150-161

Special Issue on Heterogeneous Information Network Embedding and Applications

• 
  Ye Tao, Can Wang, Alan Wee-Chung Liew:
  Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model. 162-170

Special Issue on Explainable AI Empowered Internet of Things for Indoor Navigation using WiFi Sensing

• 
  Wanting Li, Yongcai Wang, Yu Shao, Gaowei Hu, Deying Li:
  TrackPuzzle: Efficient registration of unlabeled PDR trajectories for learning indoor route graph. 171-183

Special Issue on Federated Learning on the Edge: Challenges and Future Directions

• 
  Yuting Yang, Yue Lu, Gang Mei:
  A federated learning based approach for predicting landslide displacement considering data security. 184-199
• 
  Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez:
  FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. 200-211

Special Issue on Integration of Machine Learning and Edge Computing for Next Generation of Smart Wearable Systems

• 
  Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti:
  Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers. 212-226

Special Issue on Heterogeneous Information Network Embedding and Applications

• 
  Meizi Li, Weiqiao Que, Ziyao Geng, Maozhen Li, Zuliang Kou, Jisheng Chen, Chang Guo, Bo Zhang:
  Cold-start item recommendation for representation learning based on heterogeneous information networks with fusion side information. 227-239

Special Issue on Future-Generation Attack and Defense in Neural Networks

• 
  Qing Li, Ziyue Wang, Zehao Li:
  PAGCL: An unsupervised graph poisoned attack for graph contrastive learning model. 240-249

Special Issue on Advances in Algorithms, Models, Hardware and Software for Next-Generations HPC Systems

• 
  Niranda Perera, Arup Kumar Sarker, Mills Staylor, Gregor von Laszewski, Kaiying Shan, Supun Kamburugamuve, Chathura Widanage, Vibhatha Abeykoon, Thejaka Amila Kanewala, Geoffrey C. Fox:
  In-depth analysis on parallel processing patterns for high-performance Dataframes. 250-264

Regular papers

• 
  Beibei Li, Ziqing Zhu, Linghao Zhang, Zhengwei Chang, Liang Zhao, Arun Kumar:
  EPPSQ: Achieving efficient and privacy-preserving statistics queries over encrypted data in smart grids. 265-279

Special Issue on Advances in Algorithms, Models, Hardware and Software for Next-Generations HPC Systems

• 
  Yu-Hsiang Mike Tsai, Natalie Beams, Hartwig Anzt:
  Three-precision algebraic multigrid on GPUs. 280-293

Special Issue on Explainable AI Empowered Internet of Things for Indoor Navigation using WiFi Sensing

• 
  Ashu Taneja, Shalli Rani, Jose Breñosa, Amr Tolba, Seifedine Nimer Kadry:
  An improved WiFi sensing based indoor navigation with reconfigurable intelligent surfaces for 6G enabled IoT network and AI explainable use case. 294-303

Regular papers

• 
  Liehuang Zhu, Yumeng Xie, Yuao Zhou, Qing Fan, Chuan Zhang, Ximeng Liu:
  Enabling efficient and secure health data sharing for Healthcare IoT systems. 304-316
• 
  Jianzhi Shi, Bo Yi, Xingwei Wang, Min Huang, Peichen Li, Chao Zeng, Keqin Li:
  Vivace-Distributed: A novel congestion control mechanism for JointCloud environments. 317-329

Special Issue on Heterogeneous Information Network Embedding and Applications

• 
  Jinfu Chen, Yuhao Chen, Saihua Cai, Shang Yin, Lingling Zhao, Zikang Zhang:
  An optimized feature extraction algorithm for abnormal network traffic detection. 330-342

Special Issue on Federated Learning on the Edge: Challenges and Future Directions

• 
  Alberto Archetti, Francesca Ieva, Matteo Matteucci:
  Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics. 343-358

Regular papers

• 
  Alex Barceló, Anna Queralt, Toni Cortes:
  Enhancing iteration performance on distributed task-based workflows. 359-375
• 
  Ge Song, Seong Hyeon Hong, Tristan Kyzer, Yi Wang:
  Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators. 376-389

Special Issue on Heterogeneous Information Network Embedding and Applications

• 
  Jongmin Park, Soohwan Jeong, Byung Suk Lee, Sungsu Lim:
  MIGTNet: Metapath Instance-based Graph Transformation Network for heterogeneous graph embedding. 390-401

Special Issue on Integration of Machine Learning and Edge Computing for Next Generation of Smart Wearable Systems

• 
  Ruimin Huang, Huaqiang Wang, Xiaoqiao Huang, Yonghang Tai, Feiyan Cheng, Junsheng Shi:
  Edge device-based real-time implementation of CycleGAN for the colorization of infrared video. 402-415

Regular papers

• 
  Azadeh Faroughi, Reza Boostani, Hadi Tajalizadeh, Reza Javidan:
  ARD-Stream: An adaptive radius density-based stream clustering. 416-431
• 
  Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
  Layer-wise partitioning and merging for efficient and scalable deep learning. 432-444
• 
  Yunting Tao, Fanyu Kong, Yuliang Shi, Jia Yu, Hanlin Zhang, Xiangyi Wang:
  Efficient, secure and verifiable outsourcing scheme for SVD-based collaborative filtering recommender system. 445-454

Special Issue on Future Generation ICT solutions for digital social innovation and sustainable development

• 
  Davide Mulfari, Lorenzo Carnevale, Massimo Villari:
  Toward a lightweight ASR solution for atypical speech on the edge. 455-463

Regular papers

• 
  Marwa Thabet, Brahim Hnich, Mouhebeddine Berrima:
  Investigating, quantifying and controlling the co-location attack's conditional value at risk of VM placement strategies. 464-477
• 
  Noureddine Moussa, Edmond Nurellari, Kebira Azbeg, Abdellah Boulouz, Karim Afdel, Lahcen Koutti, Mohamed Ben Salah, Abdelbaki El Belrhiti El Alaoui:
  A reinforcement learning based routing protocol for software-defined networking enabled wireless sensor network forest fire detection. 478-493

Special Issue on Future Generation ICT solutions for digital social innovation and sustainable development

• 
  Alberto Monge Roffarello, Luigi De Russis:
  Teaching and learning "Digital Wellbeing". 494-508

Special Issue on Distributed and parallel processing of big spatiotemporal data

• 
  Zixuan Fu, Chenghua Wang, Jiajie Xu:
  Graph contextualized self-attention network for software service sequential recommendation. 509-517

Special Issue on Federated Learning on the Edge: Challenges and Future Directions

• 
  Hira S. Sikandar, Saif Ur Rehman Malik, Adeel Anjum, Abid Khan, Gwanggil Jeon:
  Cohort-based kernel principal component analysis with Multi-path Service Routing in Federated Learning. 518-530

Regular papers

• 
  Fatima Zahra Errounda, Yan Liu:
  Adaptive differential privacy in vertical federated learning for mobility forecasting. 531-546

Special Issue on Cluster and Cloud Computing for Life Sciences (LIFE2022)

• 
  Miguel Guzmán-Merino, Maria-Cristina V. Marinescu, Alberto Cascajo, Jesús Carretero, David E. Singh:
  Evaluating the spread of Omicron COVID-19 variant in Spain. 547-561

Special Issue on Future-Generation Attack and Defense in Neural Networks

• 
  Yamina Mohamed Ben Ali:
  One-pixel and X-pixel adversarial attacks based on smell bees optimization algorithm. 562-576

Regular papers

• 
  Júlio Cesar Cardoso Tesolin, André M. Demori, David Fernandes Cruz Moura, Maria Cláudia Cavalcanti:
  Enhancing heterogeneous mobile network management based on a well-founded reference ontology. 577-593

Special Issue on Future Generation ICT solutions for digital social innovation and sustainable development

• 
  Johanna Ylipulli, Matti Pouke, Nils Ehrenberg, Turkka Keinonen:
  Public libraries as a partner in digital innovation project: Designing a virtual reality experience to support digital literacy. 594-605

Regular papers

• 
  Tri Nguyen, Huong Nguyen, Juha Partala, Susanna Pirttikangas:
  TrustedMaaS: Transforming trust and transparency Mobility-as-a-Service with blockchain. 606-621
• 
  Marcos de Souza Oliveira, Francisco Erivaldo Fernandes Junior, Lukas Cerveny, Flávia Akemi Miyazaki, Leonardo Valeriano Neri, Alan da Silva, Beatriz Leandro Bonafini, Victor Medeiros Outtes Alves, Órion Darshan Winter de Lima:
  FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategies. 622-636
• 
  Noe Marcelo Yungaicela-Naula, César Vargas Rosales, Jesús Arturo Pérez Díaz:
  SDN/NFV-based framework for autonomous defense against slow-rate DDoS attacks by using reinforcement learning. 637-649

Special Issue on Advances in Algorithms, Models, Hardware and Software for Next-Generations HPC Systems

• 
  Zhihui Du, Sen Zhang, David A. Bader:
  Tunnel: Parallel-inducing sort for large string analytics. 650-663

Special Issue on Future Generation ICT solutions for digital social innovation and sustainable development

• 
  Shola Olabode, Rebecca Owens, Viana Nijia Zhang, Jehana Copilah-Ali, Maxim Kolomeets, Han Wu, Shrikant Malviya, Karolina Markeviciute, Tasos Spiliotopoulos, Cristina Neesham, Lei Shi, Deborah Chambers:
  Complex online harms and the smart home: A scoping review. 664-678

Regular papers

• 
  Stefano Bistarelli, Francesco Faloci, Paolo Mori:
  *-chain: A framework for automating the modeling of blockchain based supply chain tracing systems. 679-700
• 
  Devis Bianchini, Valeria De Antonellis, Massimiliano Garda:
  A big data exploration approach to exploit in-vehicle data for smart road maintenance. 701-716

Special Issue on Integration of Machine Learning and Edge Computing for Next Generation of Smart Wearable Systems

• 
  Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini:
  7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks. 717-731