SDN Coordination for CCN and FC Content Dissemination in VANETs. - Ridha Soua; Eirini Kalogeiton; Gaetano Manzo; João M. G. Duarte; Maria Rita Palattella; Antonio Di Maio; Torsten Braun; Thomas Engel 001; Leandro A. Villas; Gianluca Rizzo (ADHOCNETS, 2016)

A Computer Vision and Control Algorithm to Follow a Human Target in a Generic Environment Using a Drone. - Vitoantonio Bevilacqua; Antonio Di Maio (ICIC (3), 2016)

A novel approach to evaluate blood parameters using computer vision techniques. - Vitoantonio Bevilacqua; Giovanni Dimauro; Francescomaria Marino; Antonio Brunetti; Fabio Cassano; Antonio Di Maio; Enrico Nasca; Gianpaolo Francesco Trotta; Francesco Girardi; Angelo Ostuni; Attilio Guarini (MeMeA, 2016)

Enabling SDN in VANETs: What is the Impact on Security? - Antonio Di Maio; Maria Rita Palattella; Ridha Soua; Luca Lamorte; Xavier Vilajosana; Jesus Alonso-Zarate; Thomas Engel 001 (Sensors, 2016)

A centralized approach for setting floating content parameters in VANETs. - Antonio Di Maio; Ridha Soua; Maria Rita Palattella; Thomas Engel 001; Gianluca Rizzo (CCNC, 2017)

Coordination mechanisms for floating content in realistic vehicular scenario. - Gaetano Manzo; Ridha Soua; Antonio Di Maio; Thomas Engel 001; Maria Rita Palattella; Gianluca Rizzo (INFOCOM Workshops, 2017)

ROADNET: Fairness- and Throughput-Enhanced Scheduling for Content Dissemination in VANETs. - Antonio Di Maio; Ridha Soua; Maria Rita Palattella; Thomas Engel 001 (ICC Workshops, 2018)

A Multi-Pronged Approach to Adaptive and Context Aware Content Dissemination in VANETs. - João M. G. Duarte; Eirini Kalogeiton; Ridha Soua; Gaetano Manzo; Maria Rita Palattella; Antonio Di Maio; Torsten Braun; Thomas Engel 001; Leandro A. Villas; Gianluca Antonio Rizzo (Mob. Networks Appl., 2018)

Performance Analysis of MANET Routing Protocols in Urban VANETs. - Antonio Di Maio; Maria Rita Palattella; Thomas Engel 001 (ADHOC-NOW, 2019)

Multi-Flow Congestion-Aware Routing in Software-Defined Vehicular Networks. - Antonio Di Maio; Maria Rita Palattella; Thomas Engel 001 (VTC Fall, 2019)

DeepNDN: Opportunistic Data Replication and Caching in Support of Vehicular Named Data. - Gaetano Manzo; Eirini Kalogeiton; Antonio Di Maio; Torsten Braun; Maria Rita Palattella; Ion Turcanu; Ridha Soua; Gianluca Rizzo (WoWMoM, 2020)

Routing Strategies and Content Dissemination Techniques for Software-Defined Vehicular Networks. - Antonio Di Maio (2020)

REACT: A solidarity-based elastic service resource reallocation strategy for Multi-access Edge Computing. - Alisson Medeiros; Torsten Braun; Antonio Di Maio; Augusto Neto 001 (Phys. Commun., 2021)

Predictive UAV Base Station Deployment and Service Offloading With Distributed Edge Learning. - Zhongliang Zhao; Lucas Pacheco; Hugo Santos; Minghui Liu; Antonio Di Maio; Denis Rosário; Eduardo Cerqueira; Torsten Braun; Xianbin Cao 001 (IEEE Trans. Netw. Serv. Manag., 2021)

Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks. - Eric Samikwa; Antonio Di Maio; Torsten Braun (CCNC, 2022)

Service Chaining Graph: Latency- and Energy-aware Mobile VR Deployment over MEC Infrastructures. - Alisson Medeiros; Antonio Di Maio; Torsten Braun; Augusto Neto 001 (GLOBECOM, 2022)

SecureAoX: A Location Verification System. - Jakob Schaerer; Antonio Di Maio; Torsten Braun (WMNC, 2022)

RC-TL: Reinforcement Convolutional Transfer Learning for Large-scale Trajectory Prediction. - Negar Emami; Lucas Pacheco; Antonio Di Maio; Torsten Braun (NOMS, 2022)

INTRAFORCE: Intra-Cluster Reinforced Social Transformer for Trajectory Prediction. - Negar Emami; Antonio Di Maio; Torsten Braun (WiMob, 2022)

ARES: Adaptive Resource-Aware Split Learning for Internet of Things. - Eric Samikwa; Antonio Di Maio; Torsten Braun (Comput. Networks, 2022)

An Online Multi-dimensional Knapsack Approach for Slice Admission Control. - Jesutofunmi Ajayi; Antonio Di Maio; Torsten Braun; Dimitrios Xenakis (CCNC, 2023)

FedForce: Network-adaptive Federated Learning for Reinforced Mobility Prediction. - Negar Emami; Antonio Di Maio; Torsten Braun (LCN, 2023)

Towards Personality Detection and Prediction using Smartphone Sensor Data. - Dimitris Xenakis; Eric Samikwa; Jesutofunmi Ajayi; Antonio Di Maio; Torsten Braun; Katja Schlegel (MedComNet, 2023)

The Upsides of Turbulence: Baselining Gossip Learning in Dynamic Settings. - Antonio Di Maio; Mina Aghaei Dinani; Gianluca Rizzo (MobiHoc, 2023)

Machine Learning-based Energy Optimisation in Smart City Internet of Things. - Eric Samikwa; Jakob Schärer; Torsten Braun; Antonio Di Maio (MobiHoc, 2023)

APS: An Auditable Positioning System Based on Angle-of-Arrival Proof of Location and Graph of Trust. - Jakob Schaerer; Antonio Di Maio; Torsten Braun (PerCom Workshops, 2023)

ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization. - Dimitris Xenakis; Antonio Di Maio; Torsten Braun (WoWMoM, 2023)

ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization. - Dimitris Xenakis; Antonio Di Maio; Torsten Braun (Zenodo, 2023)

Machine Learning-based Energy Optimisation in Smart City Internet of Things. - Eric Samikwa; Jakob Schärer; Torsten Braun; Antonio Di Maio (Zenodo, 2023)

Throughput - and Cost - Aware Node Relocation for MANET Resiliency Under Jamming Attacks. - Marco De Liso; Antonio Di Maio; Torsten Braun (MedComNet, 2024)

Drift-Aware Policy Selection for Slice Admission Control. - Jesutofunmi Ajayi; Antonio Di Maio; Torsten Braun (NOMS, 2024)

A Distributed Aggregation Approach for Vehicular Federated Learning. - Lucas Pacheco; Torsten Braun; Denis Rosário; Antonio Di Maio; Eduardo Cerqueira (IEEE Access, 2024)

DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT. - Eric Samikwa; Antonio Di Maio; Torsten Braun (IEEE Internet Things J., 2024)

TENET: Adaptive Service Chain Orchestrator for MEC-Enabled Low-Latency 6DoF Virtual Reality. - Alisson Medeiros; Antonio Di Maio; Torsten Braun; Augusto Neto 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Data-Driven Orchestration for Distributed RAN Intelligent Controller Placement in 6G Networks. - Elham Hasheminezhad; Antonio Di Maio; Torsten Braun (SAC, 2025)

Deep Reinforcement Learning for Context-Aware Online Service Function Chain Deployment and Migration over 6G Networks. - Solomon Fikadie Wassie; Antonio Di Maio; Torsten Braun (SAC, 2025)

DERRIC: Decentralized Reinforced RAN Intelligent Controller Orchestration for 6G Networks. - Elham Hashemi Nezhad; Antonio Di Maio; Torsten Braun (WCNC, 2025)

Two-Way-Ranging-based Cooperative Localization with an Open UWB Dataset from Bern-University (TWR-CLOUD-Bern). - Dimitrios Xenakis; Antonio Di Maio; Torsten Braun (Zenodo, 2025)

CSTAR-FL: Stochastic Client Selection for Tree All-Reduce Federated Learning. - Zimu Xu; Antonio Di Maio; Eric Samikwa; Torsten Braun (IEEE Trans. Mob. Comput., 2025)

Hierarchical Placement Learning for Network Slice Provisioning. - Jesutofunmi Ajayi; Antonio Di Maio; Torsten Braun (CoRR, 2025)