An alternative to branch prediction: pre-computed branches. - Lucian N. Vintan; Marius Sbera; Ioan Z. Mihu; Adrian Florea (SIGARCH Comput. Archit. News, 2003)

On the optimal number of hops in infrastructure-based fixed relay networks. - Adrian Florea; Halim Yanikomeroglu (GLOBECOM, 2005)

Understanding Prediction Limits Through Unbiased Branches. - Lucian N. Vintan; Arpad Gellert; Adrian Florea; Marius Oancea; Colin Egan (Asia-Pacific Computer Systems Architecture Conference, 2006)

Routing Mechanisms for Multi-Hop Cellular Communications in the WINNER Air Interface. - Keivan Navaie; Yajian Liu; Mohammad Abaii; Adrian Florea; Halim Yanikomeroglu; Rahim Tafazolli (VTC Fall, 2006)

On the scalability of relay based wireless networks. - Adrian Florea; Halim Yanikomeroglu (WCNC, 2006)

Unbiased Branches: An Open Problem. - Arpad Gellert; Adrian Florea; Maria N. Vintan; Colin Egan; Lucian N. Vintan (Asia-Pacific Computer Systems Architecture Conference, 2007)

The Impact of Java Applications at Microarchitectural Level from Branch Prediction Perspective. - Adrian Florea; Arpad Gellert; Lucian N. Vintan; Marius N. Veltan (Int. J. Comput. Commun. Control, 2009)

Exploiting selective instruction reuse and value prediction in a superscalar architecture. - Arpad Gellert; Adrian Florea; Lucian N. Vintan (J. Syst. Archit., 2009)

Energy-performance design space exploration in SMT architectures exploiting selective load value predictions. - Arpad Gellert; Gianluca Palermo; Vittorio Zaccaria; Adrian Florea; Lucian N. Vintan; Cristina Silvano (DATE, 2010)

A Visual Simulation Framework For Simultaneous Multithreading Architectures. - Adrian Florea; Alexandru Ratiu; Arpad Gellert; Lucian N. Vintan (ECMS, 2011)

Enhanced Learning and Educational Management through Online Collaborative Technologies. - Adrian Florea; Arpad Gellert; Traian Anghel; Delilah Florea (J. Digit. Inf. Manag., 2011)

Developing Online Collaborative Games for e-Learning Environments. - Traian Anghel; Adrian Florea; Arpad Gellert; Delilah Florea (ICWL Workshops, 2012)

Multi-objective optimisations for a superscalar architecture with selective value prediction. - Arpad Gellert; Horia Calborean; Lucian Vintan; Adrian Florea (IET Comput. Digit. Tech., 2012)

Investigating a New Design Pattern for Efficient Implementation of Prediction Algorithms. - Arpad Gellert; Adrian Florea (J. Digit. Inf. Manag., 2013)

Web Page Prediction Enhanced with Confidence Mechanism. - Arpad Gellert; Adrian Florea (J. Web Eng., 2014)

Improving LTE eMBMS system spectrum efficiency and service quality using channel bonding, non-orthogonal multiplexing and SFN. - Liang Zhang 001; Yiyan Wu 001; Wei Li 037; Khalil Salehian; Adrian Florea; G. Kent Walker (BMSB, 2016)

Web prefetching through efficient prediction by partial matching. - Arpad Gellert; Adrian Florea (World Wide Web, 2016)

Coverage study of ATSC 3.0. - Wei Li 037; Yiyan Wu 001; Sebastien Lafleche; Khalil Salehian; Liang Zhang 001; Adrian Florea; Sung Ik Park; Jae-Young Lee 001; Heung Mook Kim; Namho Hur; Cristina Regueiro; Jon Montalban; et al. (BMSB, 2017)

Channel estimation strategy for using LDM to deliver local content insertion in ATSC 3.0. - Liang Zhang 001; Wei Li 037; Yiyan Wu 001; Sebastien Lafleche; Khalil Salehian; Zhihong Hong 001; Adrian Florea; Xianbin Wang 001; Sung Ik Park; Heung Mook Kim; Jae-Young Lee 001; Namho Hur; et al. (BMSB, 2017)

Coverage analysis on improved LTE eMBMS with layered-division-multiplexing and longer cyclic prefix. - Liang Zhang 001; Yiyan Wu 001; Wei Li 037; Khalil Salehian; Sebastien Lafleche; Adrian Florea; Xianbin Wang 001; Sung Ik Park; Heung Mook Kim; Jae-Young Lee 001; Namho Hur; Pablo Angueira; et al. (BMSB, 2017)

Developing Heuristics for the Graph Coloring Problem Applied to Register Allocation in Embedded Systems. - Adrian Florea; Arpad Gellert (J. Multim. Process. Technol., 2017)

Improving LTE eMBMS With Extended OFDM Parameters and Layered-Division-Multiplexing. - Liang Zhang 001; Yiyan Wu 001; Gordon Kent Walker; Wei Li 037; Khalil Salehian; Adrian Florea (IEEE Trans. Broadcast., 2017)

Optimal Partitioning of LLC in CAT-enabled CPUs to Prevent Side-Channel Attacks. - Ugo Fiore; Adrian Florea; Arpad Gellert; Lucian Vintan; Paolo Zanetti (CSS, 2018)

Smart parking system - another way of sharing economy provided by private institutions. - Simona-Daniela Marcu; Adrian Florea (ICDIM, 2018)

A study on forecasting electricity production and consumption in smart cities and factories. - Arpad Gellert; Adrian Florea; Ugo Fiore; Francesco Palmieri 002; Paolo Zanetti (Int. J. Inf. Manag., 2019)

Performance and energy optimisation in CPUs through fuzzy knowledge representation. - Arpad Gellert; Adrian Florea; Ugo Fiore; Paolo Zanetti; Lucian Vintan (Inf. Sci., 2019)

An Interdisciplinary Review of Smart Vehicular Traffic and Its Applications and Challenges. - Ugo Fiore; Adrian Florea; Gilberto Pérez-Lechuga (J. Sens. Actuator Networks, 2019)

Coverage Study of ATSC 3.0 Under Strong Co-Channel Interference Environments. - Wei Li 037; Yiyan Wu 001; Sebastien Lafleche; Khalil Salehian; Liang Zhang 001; Adrian Florea; Sung-Ik Park; Jae-Young Lee 001; Heung Mook Kim; Namho Hur; Cristina Regueiro; Jon Montalban; et al. (IEEE Trans. Broadcast., 2019)

Implementing an embedded system to identify possible COVID-19 suspects using thermovision cameras. - Adrian Florea; Valentin Fleaca (ICSTCC, 2020)

OMiLAB: A Smart Innovation Environment for Digital Engineers. - Dimitris Karagiannis; Robert Andrei Buchmann; Xavier Boucher; Sergio Cavalieri; Adrian Florea; Dimitris Kiritsis; Moonkun Lee (PRO-VE, 2020)

Improving the Training Methods for Designers of Flexible Production Cells in Factories of the Future. - Ion Mironescu; Daniel-Cristian Craciunean; Adrian Florea; Ioan Bondrea (PRO-VE, 2020)

Optimizing the Integration Area and Performance of VLIW Architectures by Hardware/Software Co-design. - Adrian Florea; Teodora Vasilas (MDIS, 2020)

Human capital evaluation in knowledge-based organizations based on big data analytics. - Sergiu Stefan Nicolaescu; Adrian Florea; Claudiu Vasile Kifor; Ugo Fiore; Nicolae Cocan; Ilie Receu; Paolo Zanetti (Future Gener. Comput. Syst., 2020)

Successful Knowledge Transfer - A Boost for Regional Innovation. - Adrian Florea; Christoph Meinel (PRO-VE, 2021)

Workforce Analytics in Teleworking. - Claudiu Vasile Kifor; Sergiu Stefan Nicolaescu; Adrian Florea; Roxana Florenta Savescu; Ilie Receu; Anca Victoria Tîrlea; Raluca Elena Danut (IEEE Access, 2021)

COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data. - Hossein Aboutalebi; Maya Pavlova; Mohammad Javad Shafiee; Adrian Florea; Andrew Hryniowski; Alexander Wong (CoRR, 2022)

COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning. - E. Zhixuan Zeng; Adrian Florea; Alexander Wong (CoRR, 2022)

Selective High-Latency Arithmetic Instruction Reuse in Multicore Processors. - Claudiu Buduleci; Arpad Gellert; Adrian Florea (ICSTCC, 2023)

The Role of Aggregators and Hubs in Collaborative Prosumer Networks. - Lasse Berntzen; Adrian Florea (PRO-VE, 2023)

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images. - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (CoRR, 2023)

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (Sensors, 2023)

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. - Kai Ma; Siyuan He; Grant Sinha; Ashkan Ebadi; Adrian Florea; Stéphane Tremblay; Alexander Wong; Pengcheng Xi (Sensors, 2023)

Superposition of populations in multi-objective evolutionary optimization of car suspensions. - Adrian Florea; Ileana-Ioana Cofaru; Andrei Patrausanu; Nicolae Cofaru; Ugo Fiore (Eng. Appl. Artif. Intell., 2023)

Towards Efficient Spectrum Management: A Data-driven Assessment Framework for Local Licensing. - Kareem E. Baddour; Mohamad Alkadamani; Mathieu Châteauvert; Janaki Parekh; Colin Brown; Adrian Florea (DySPAN, 2024)

Car suspension system design optimization through bio-inspired evolutionary algorithms. - Andrei Patrausanu; Adrian Florea; Mihai Neghina; Radu Chis; Alina-Ioana Dicoiu (ICSTCC, 2024)

Simulation-Based Learning for Agri-Food Industry: A Literature Review and Bibliometric Analysis. - Anca Sipos; Ionela Maniu; Adrian Florea (PRO-VE (2), 2024)

Leveraging Collaboration for Industry 5.0: Needs, Strategies and Future Directions. - Vlad Toncian; Adrian Florea; Alin David; Daniel Morariu; Radu George Cretulescu (PRO-VE (1), 2024)

Estimating electricity consumption at city-level through advanced machine learning methods. - Arpad Gellert; Lorena-Maria Olaru; Adrian Florea; Ileana-Ioana Cofaru; Ugo Fiore; Francesco Palmieri 002 (Connect. Sci., 2024)

A competitive new multi-objective optimization genetic algorithm based on apparent front ranking. - Mihai Neghina; Alina-Ioana Dicoiu; Radu Chis; Adrian Florea (Eng. Appl. Artif. Intell., 2024)

COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring. - E. Zhixuan Zeng; Ashkan Ebadi; Adrian Florea; Alexander Wong (Sensors, 2024)

Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors. - Claudiu Buduleci; Arpad Gellert; Adrian Florea; Remus Brad (Comput., 2024)

Digital farming based on a smart and user-friendly IoT irrigation system: A conifer nursery case study. - Adrian Florea; Daniel-Ioan Popa; Daniel Morariu; Ionela Maniu; Lasse Berntzen; Ugo Fiore (IET Cyper-Phys. Syst.: Theory & Appl., 2024)

Spectrum efficiency through data: A methodology for evaluating local licensing strategies. - Mohamad Alkadamani; Colin Brown; Kareem E. Baddour; Mathieu Châteauvert; Janaki Parekh; Adrian Florea (Comput. Networks, 2025)

XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs. - Linyang He; Ercong Nie; Sukru Samet Dindar; Arsalan Firoozi; Adrian Florea; Van Nguyen; Corentin Puffay; Riki Shimizu; Haotian Ye; Jonathan Brennan; Helmut Schmid; Hinrich Schütze; et al. (CoRR, 2025)