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ORCIDFrancesco Piccialli
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- affiliation: University of Naples Federico II, Italy
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2020 – today
- 2023
[j105]Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli:
A blockchain-based secure Internet of medical things framework for stress detection. Inf. Sci. 628: 377-390 (2023)- [j104]Francesco Piccialli
, Fabio Giampaolo, David Camacho, Gang Mei:
Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications. IEEE Trans. Ind. Informatics 19(2): 2161-2164 (2023) - [j103]Zhengjing Ma, Gang Mei, Francesco Piccialli:
An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems. IEEE Trans. Ind. Informatics 19(4): 6170-6181 (2023) - [i9]Victor Rodríguez-Fernández, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho:
DeepVATS: Deep Visual Analytics for Time Series. CoRR abs/2302.03858 (2023) - 2022
- [j102]Yinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei:
Numerical modeling of the propagation process of landslide surge using physics-informed deep learning. Adv. Model. Simul. Eng. Sci. 9(1): 14 (2022) - [j101]Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti:
A physics-informed learning approach to Bernoulli-type free boundary problems. Comput. Math. Appl. 128: 34-43 (2022) - [j100]Salvatore Cuomo, Federico Gatta, Fabio Giampaolo, Carmela Iorio, Francesco Piccialli:
An unsupervised learning framework for marketneutral portfolio. Expert Syst. Appl. 192: 116308 (2022) - [j99]Jingzhi Tu, Gang Mei, Francesco Piccialli:
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles. J. Grid Comput. 20(3): 21 (2022) - [j98]Kashif Naseer Qureshi, Omprakash Kaiwartya, Gwanggil Jeon, Francesco Piccialli:
Neurocomputing for internet of things: Object recognition and detection strategy. Neurocomputing 485: 263-273 (2022) - [j97]Zhengjing Ma, Gang Mei, Francesco Piccialli:
Deep Learning for Secure Communication in Cyber-Physical Systems. IEEE Internet Things Mag. 5(2): 63-68 (2022) - [j96]Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3433-3447 (2022) - [j95]Jingzhi Tu, Gang Mei, Francesco Piccialli:
An improved Nyström spectral graph clustering using k-core decomposition as a sampling strategy for large networks. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3673-3684 (2022) - [j94]Federico Gatta, Fabio Giampaolo, Edoardo Prezioso, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Neural networks generative models for time series. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 7920-7939 (2022) - [j93]Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli:
Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next. J. Sci. Comput. 92(3): 88 (2022) - [j92]Maria Ahmed Qureshi, Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli:
Deep learning-based ambient assisted living for self-management of cardiovascular conditions. Neural Comput. Appl. 34(13): 10449-10467 (2022) - [j91]Zhihan Lv, Liang Qiao, Shuo Yang, Jinhua Li, Haibin Lv, Francesco Piccialli:
Memory-augmented neural networks based dynamic complex image segmentation in digital twins for self-driving vehicle. Pattern Recognit. 132: 108956 (2022) - [j90]Jingzhi Tu, Gang Mei, Zhengjing Ma, Francesco Piccialli:
SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5662-5673 (2022) - [j89]Imran Ahmed, Gwanggil Jeon, Francesco Piccialli:
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where. IEEE Trans. Ind. Informatics 18(8): 5031-5042 (2022) - [j88]Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, Giovanni Dell'Aversana Orabona, Renato Cuocolo, V. Abbate, Lorenzo Ugga, L. Califano:
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning. IEEE J. Biomed. Health Informatics 26(10): 4869-4879 (2022) - [j87]Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng:
A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. 23(4): 3268-3280 (2022) - [j86]Li Feng, Qinglin Zhao, Yu Zeng, Mianxiong Dong, Mu-Yen Chen, Mohammad Mehedi Hassan, Francesco Piccialli, Giancarlo Fortino:
M-T2F: A High-Efficient Contention Protocol for Wireless Networking in Cyber-Physical-Social Systems. IEEE Trans. Netw. Sci. Eng. 9(6): 3860-3869 (2022) - [j85]Yuedan Chen, Guoqing Xiao, Kenli Li, Francesco Piccialli, Albert Y. Zomaya:
fgSpMSpV: A Fine-grained Parallel SpMSpV Framework on HPC Platforms. ACM Trans. Parallel Comput. 9(2): 8:1-8:29 (2022) - [c32]Martina Savoia, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli:
The BIOCHIP project: A Deep Learning approach for multiwell segmentation. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c31]Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo:
A machine learning-based approach for mercury detection in marine waters. ICDM (Workshops) 2022: 1-10 - [c30]Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli:
Cut the peaches: image segmentation for utility pattern mining in food processing. ICDM (Workshops) 2022: 497-506 - [i8]Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maizar Raissi, Francesco Piccialli:
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next. CoRR abs/2201.05624 (2022) - [i7]Yue Lu, Gang Mei, Francesco Piccialli:
A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN). CoRR abs/2205.05710 (2022) - 2021
- [j84]Chun-Wei Tsai, Mu-Yen Chen, Francesco Piccialli, Tie Qiu, Jason J. Jung, Patrick C. K. Hung, Sherali Zeadally:
IEEE Access Special Section Editorial: Data Mining for Internet of Things. IEEE Access 9: 90418-90427 (2021) - [j83]Imran Ahmed, Misbah Ahmad, Gwanggil Jeon, Francesco Piccialli:
A Framework for Pandemic Prediction Using Big Data Analytics. Big Data Res. 25: 100190 (2021) - [j82]Jiayu Qin, Gang Mei, Zhengjing Ma, Francesco Piccialli:
General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention. Big Data 9(5): 373-389 (2021) - [j81]Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli:
An efficient graph clustering algorithm by exploiting k-core decomposition and motifs. Comput. Electr. Eng. 96(Part): 107564 (2021) - [j80]Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli:
Anomaly detection and trust authority in artificial intelligence and cloud computing. Comput. Networks 184: 107647 (2021) - [j79]Ning Lu, Dan Li, Wenbo Shi, Pandi Vijayakumar, Francesco Piccialli, Victor Chang:
An efficient combined deep neural network based malware detection framework in 5G environment. Comput. Networks 189: 107932 (2021) - [j78]Francesco Piccialli, Gwanggil Jeon:
Special issue on toward the Internet of Things of year 2020: Applications and future trends. Concurr. Comput. Pract. Exp. 33(3) (2021) - [j77]Zhongjin Li, Victor Chang, Haiyang Hu, Maozhong Fu, Jidong Ge, Francesco Piccialli:
Optimizing makespan and resource utilization for multi-DNN training in GPU cluster. Future Gener. Comput. Syst. 125: 206-220 (2021) - [j76]Imran Ahmed, Sadia Din, Gwanggil Jeon, Francesco Piccialli, Giancarlo Fortino:
Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning. IEEE CAA J. Autom. Sinica 8(7): 1253-1270 (2021) - [j75]Francesco Piccialli, Fabio Giampaolo, Alessandro Salvi, Salvatore Cuomo:
A robust ensemble technique in forecasting workload of local healthcare departments. Neurocomputing 444: 69-78 (2021) - [j74]Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, Salvatore Cuomo, Giancarlo Fortino:
A survey on deep learning in medicine: Why, how and when? Inf. Fusion 66: 111-137 (2021) - [j73]Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, David Camacho, Giovanni Acampora:
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion. Inf. Fusion 74: 1-16 (2021) - [j72]Francesco Piccialli, Gwanggil Jeon:
Context-aware Computing for the Internet of Things. Internet Things 14: 100154 (2021) - [j71]Imran Ahmed, Gwanggil Jeon, Francesco Piccialli:
A Deep-Learning-Based Smart Healthcare System for Patient's Discomfort Detection at the Edge of Internet of Things. IEEE Internet Things J. 8(13): 10318-10326 (2021) - [j70]Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, Salvatore Cuomo:
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic. Inf. Syst. Frontiers 23(6): 1467-1497 (2021) - [j69]Kashif Naseer Qureshi, Awais Ahmad, Francesco Piccialli, Giampaolo Casolla, Gwanggil Jeon:
Nature-inspired algorithm-based secure data dissemination framework for smart city networks. Neural Comput. Appl. 33(17): 10637-10656 (2021) - [j68]Zhengjing Ma, Gang Mei, Francesco Piccialli:
Machine learning for landslides prevention: a survey. Neural Comput. Appl. 33(17): 10881-10907 (2021) - [j67]Zhihan Lv, Liang Qiao, Qingjun Wang, Francesco Piccialli:
Advanced Machine-Learning Methods for Brain-Computer Interfacing. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1688-1698 (2021) - [j66]Abid Khan, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
Lucy With Agents in the Sky: Trustworthiness of Cloud Storage for Industrial Internet of Things. IEEE Trans. Ind. Informatics 17(2): 953-960 (2021) - [j65]Francesco Piccialli, Nik Bessis, Erik Cambria:
Guest Editorial: Industrial Internet of Things: Where Are We and What Is Next? IEEE Trans. Ind. Informatics 17(11): 7700-7703 (2021) - [j64]Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects. IEEE Trans. Intell. Transp. Syst. 22(3): 1777-1786 (2021) - [j63]Kashif Naseer Qureshi, Muhammad Ahmed, Gwanggil Jeon, Francesco Piccialli:
An Enhanced Multi-Hop Intersection-Based Geographical Routing Protocol for the Internet of Connected Vehicles Network. IEEE Trans. Intell. Transp. Syst. 22(6): 3850-3858 (2021) - [j62]Francesco Piccialli, Nik Bessis, Gwanggil Jeon, Calton Pu:
Introduction to the Special Section on Data Science for Cyber-Physical Systems. ACM Trans. Internet Techn. 21(2): 28e:1-28e:7 (2021) - [j61]Zhihan Lv, Francesco Piccialli:
The Security of Medical Data on Internet Based on Differential Privacy Technology. ACM Trans. Internet Techn. 21(3): 55:1-55:18 (2021) - [j60]Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, Danilo Crisci, Salvatore Cuomo:
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data. ACM Trans. Internet Techn. 21(3): 68:1-68:21 (2021) - [c29]Yuting Yang, Gang Mei, Francesco Piccialli:
Explainable Deep Learning Models on the Diagnosis of Pneumonia. CHASE 2021: 134-138 - [i6]Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction. CoRR abs/2105.13125 (2021) - [i5]Jingzhi Tu, Gang Mei, Francesco Piccialli:
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving. CoRR abs/2109.02629 (2021) - [i4]Francesco Calabrò, Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti:
Deep Learning for the Approximation of a Shape Functional. CoRR abs/2110.02112 (2021) - 2020
- [j59]Md. Arafatur Rahman, Zahir Tari, Dakai Zhu, Francesco Piccialli, Xiaokang Wang:
IEEE Access Special Section Editorial: Cloud-Fog-Edge Computing in Cyber-Physical-Social Systems (CPSS). IEEE Access 8: 222859-222864 (2020) - [j58]Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
Link quality and energy utilization based preferable next hop selection routing for wireless body area networks. Comput. Commun. 149: 382-392 (2020) - [j57]Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
Corrigendum to "Link quality and energy utilization based preferable next hop selection routing for wireless body area networks" [Comput. Commun. 149 (2020) 382-392]. Comput. Commun. 155: 132 (2020) - [j56]Kaifeng Gao, Gang Mei, Francesco Piccialli, Salvatore Cuomo, Jingzhi Tu, Zenan Huo:
Julia language in machine learning: Algorithms, applications, and open issues. Comput. Sci. Rev. 37: 100254 (2020) - [j55]Kashif Naseer Qureshi, Abeer Iftikhar, Shahid Nazeer Bhatti, Francesco Piccialli, Fabio Giampaolo, Gwanggil Jeon:
Trust management and evaluation for edge intelligence in the Internet of Things. Eng. Appl. Artif. Intell. 94: 103756 (2020) - [j54]Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Vincenzo Schiano Di Cola:
Decision Making in IoT Environment through Unsupervised Learning. IEEE Intell. Syst. 35(1): 27-35 (2020) - [j53]Chang Choi, Francesco Piccialli, Jason J. Jung:
Internet of Knowledge. Future Gener. Comput. Syst. 102: 948-949 (2020) - [j52]Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli:
A computational method for the European option price in an Internet of Things framework. Future Gener. Comput. Syst. 107: 730-735 (2020) - [j51]Francesco Piccialli, Salvatore Cuomo, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola:
Path prediction in IoT systems through Markov Chain algorithm. Future Gener. Comput. Syst. 109: 210-217 (2020) - [j50]Salvatore Cuomo, Vittorio Di Somma, Francesco Piccialli:
Pricing estimation of a barrier option in an IoT scenario. Future Gener. Comput. Syst. 110: 407-412 (2020) - [j49]Junchao Wang, Kaining Han, Anastasios Alexandridis, Zhiyu Chen, Zeljko Zilic, Yu Pang, Gwanggil Jeon, Francesco Piccialli:
A blockchain-based eHealthcare system interoperating with WBANs. Future Gener. Comput. Syst. 110: 675-685 (2020) - [j48]Francesco Piccialli, Salvatore Cuomo, Nik Bessis, Yuji Yoshimura:
Data Science for the Internet of Things. IEEE Internet Things J. 7(5): 4342-4346 (2020) - [j47]Imran Ahmed, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
Exploring Deep Learning Models for Overhead View Multiple Object Detection. IEEE Internet Things J. 7(7): 5737-5744 (2020) - [j46]Kashif Naseer Qureshi, Sadia Din, Gwanggil Jeon, Francesco Piccialli:
An accurate and dynamic predictive model for a smart M-Health system using machine learning. Inf. Sci. 538: 486-502 (2020) - [j45]Salvatore Cuomo, Francesco Piccialli, Federica Sica:
RBF methods in a Stochastic Volatility framework for Greeks computation. J. Comput. Appl. Math. 380: 112987 (2020) - [j44]Ahmed Fathalla, Ahmad Salah, Kenli Li, Keqin Li, Francesco Piccialli:
Deep end-to-end learning for price prediction of second-hand items. Knowl. Inf. Syst. 62(12): 4541-4568 (2020) - [j43]Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Edoardo Prezioso, Vincenzo Schiano Di Cola:
Unsupervised learning on multimedia data: a Cultural Heritage case study. Multim. Tools Appl. 79(45-46): 34429-34442 (2020) - [j42]Francesco Piccialli, Yuji Yoshimura, Paolo Benedusi, Carlo Ratti, Salvatore Cuomo:
Lessons learned from longitudinal modeling of mobile-equipped visitors in a complex museum. Neural Comput. Appl. 32(12): 7785-7801 (2020) - [j41]Khan Muhammad, Joel J. P. C. Rodrigues, Sergey Kozlov, Francesco Piccialli, Victor Hugo C. de Albuquerque:
Energy-Efficient Monitoring of Fire Scenes for Intelligent Networks. IEEE Netw. 34(3): 108-115 (2020) - [j40]Francesco Piccialli, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola, Kenli Li:
A Deep Learning approach for Path Prediction in a Location-based IoT system. Pervasive Mob. Comput. 66: 101210 (2020) - [j39]Francesco Piccialli, Paolo Benedusi, Luca Carratore, Giocanni Colecchia:
An IoT data analytics approach for cultural heritage. Pers. Ubiquitous Comput. 24(3): 429-436 (2020) - [j38]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets. Soft Comput. 24(23): 17693-17704 (2020) - [j37]Giampaolo Casolla, Salvatore Cuomo, Vincenzo Schiano Di Cola, Francesco Piccialli:
Exploring Unsupervised Learning Techniques for the Internet of Things. IEEE Trans. Ind. Informatics 16(4): 2621-2628 (2020) - [j36]Francesco Piccialli, Nik Bessis, Jason J. Jung:
Guest Editorial: Data Science Challenges in Industry 4.0. IEEE Trans. Ind. Informatics 16(9): 5924-5928 (2020) - [j35]Mudassar Ahmad, Sohail Jabbar, Awais Ahmad, Francesco Piccialli, Gwanggil Jeon:
A Sustainable Solution to Support Data Security in High Bandwidth Healthcare Remote Locations by Using TCP CUBIC Mechanism. IEEE Trans. Sustain. Comput. 5(2): 249-259 (2020) - [i3]Kaifeng Gao, Jingzhi Tu, Zenan Huo, Gang Mei, Francesco Piccialli, Salvatore Cuomo:
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues. CoRR abs/2003.10146 (2020) - [i2]Gang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli:
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs. CoRR abs/2008.10380 (2020)
2010 – 2019
- 2019
- [j34]Tie Qiu, Chun-Wei Tsai, Carlo Cecati, Joel J. P. C. Rodrigues, Priyanka Rawat, Houbing Song, Francesco Piccialli, Melinda Hodkiewicz:
IEEE Access Special Section Editorial: Intelligent Systems for the Internet of Things. IEEE Access 7: 146342-146347 (2019) - [j33]Flora Amato, Vincenzo Moscato, Antonio Picariello, Francesco Piccialli:
SOS: A multimedia recommender System for Online Social networks. Future Gener. Comput. Syst. 93: 914-923 (2019) - [j32]Giuseppe Caggianese, Salvatore Cuomo, Massimo Esposito, Marco Franceschini, Luigi Gallo, Francesco Infarinato, Aniello Minutolo, Francesco Piccialli, Paola Romano:
Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments. IEEE Trans. Ind. Informatics 15(1): 517-526 (2019) - [c28]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. NUMTA(1) 2019: 122-130 - [i1]Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. CoRR abs/1908.03690 (2019) - 2018
- [j31]Flora Amato, Vincenzo Moscato, Antonio Picariello, Francesco Piccialli, Giancarlo Sperlì:
Centrality in heterogeneous social networks for lurkers detection: An approach based on hypergraphs. Concurr. Comput. Pract. Exp. 30(3) (2018) - [j30]Francesco Piccialli, Jason J. Jung:
Data fusion in the internet of data. Concurr. Comput. Pract. Exp. 30(15) (2018) - [j29]Francesco Piccialli, Paolo Benedusi, Flora Amato:
S-InTime: A social cloud analytical service oriented system. Future Gener. Comput. Syst. 80: 229-241 (2018) - [j28]Francesco Piccialli, Angelo Chianese:
Editorial for FGCS special issue: The Internet of Cultural Things: Towards a Smart Cultural heritage. Future Gener. Comput. Syst. 81: 514-515 (2018) - [j27]Angelo Chianese, Francesco Piccialli:
A perspective on applications of in-memory and associative approaches supporting cultural big data analytics. Int. J. Comput. Sci. Eng. 16(3): 219-233 (2018) - [j26]Angelo Chianese, Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli:
Self and social network behaviours of users in cultural spaces. Int. J. Comput. Sci. Eng. 16(3): 265-281 (2018) - [j25]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli:
A (multi) GPU iterative reconstruction algorithm based on Hessian penalty term for sparse MRI. Int. J. Grid Util. Comput. 9(2): 139-156 (2018) - [j24]Pasquale De Michele, Francesco Maiorano, Livia Marcellino, Francesco Piccialli:
A GPU Implementation of OLPCA Method in Hybrid Environment. Int. J. Parallel Program. 46(3): 528-542 (2018) - [j23]Puneet Jai Kaur, Sakshi Kaushal, Arun Kumar Sangaiah, Francesco Piccialli:
A Framework for Assessing Reusability Using Package Cohesion Measure in Aspect Oriented Systems. Int. J. Parallel Program. 46(3): 543-564 (2018) - [j22]Francesco Piccialli, Salvatore Cuomo, Gwanggil Jeon:
Parallel Approaches for Data Mining in the Internet of Things Realm. Int. J. Parallel Program. 46(5): 807-811 (2018) - [j21]Imran Ahmed, Awais Ahmad, Francesco Piccialli, Arun Kumar Sangaiah, Gwanggil Jeon:
A Robust Features-Based Person Tracker for Overhead Views in Industrial Environment. IEEE Internet Things J. 5(3): 1598-1605 (2018) - [j20]Salvatore Cuomo, Raffaele Farina, Francesco Piccialli:
An inverse Bayesian scheme for the denoising of ECG signals. J. Netw. Comput. Appl. 115: 48-58 (2018) - [j19]Francesco Piccialli, Jason J. Jung:
Towards the Internet of Data: Applications, Opportunities and Future Challenges. J. Parallel Distributed Comput. 116: 1-2 (2018) - [j18]Shahid Hussain, Jacky Keung, Arif Ali Khan, Awais Ahmad, Salvatore Cuomo, Francesco Piccialli, Gwanggil Jeon, Adnan Akhunzada:
Implications of deep learning for the automation of design patterns organization. J. Parallel Distributed Comput. 117: 256-266 (2018) - [j17]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli, Arun Kumar Sangaiah:
Reproducing dynamics related to an Internet of Things framework: A numerical and statistical approach. J. Parallel Distributed Comput. 118(Part): 359-368 (2018) - [c27]Salvatore Cuomo, Francesco Maiorano, Francesco Piccialli:
Remarks of Social Data Mining Applications in the Internet of Data. NBiS 2018: 944-951 - [c26]Salvatore Cuomo, Giocanni Colecchia, Francesco Piccialli, Francesco Maiorano:
Traditional and Deep Learning Approaches to Information and Influence Propagation in Social Networks. SITIS 2018: 480-484 - 2017
- [j16]Francesco Piccialli, Angelo Chianese:
A location-based IoT platform supporting the cultural heritage domain. Concurr. Comput. Pract. Exp. 29(11) (2017) - [j15]Francesco Piccialli, Angelo Chianese, Jason J. Jung:
Cultural Heritage on Internet of Things (IoT) systems: Trends and challenges. Concurr. Comput. Pract. Exp. 29(11) (2017) - [j14]Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli, Ardelio Galletti, Jai E. Jung:
IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario. Expert Syst. Appl. 79: 101-111 (2017)