Adriano Mancini

Associate Professor

Marche Polytechnic University

Italy

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Adriano Mancini is an Associate Professor at Marche Polytechnic University in Italy. His research interests include deep learning applications in remote sensing and environmental monitoring, with recent publications focusing on automated vegetation recovery, fashion design neural rendering, and UAV imagery workflows. He has also explored advanced methodologies for wastewater treatment and biomass prediction using drone and satellite imagery.

Articles (10)

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2025

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Collaborators (7)

SARA MOCCIA

Assistant Professor

Scuola Superiore Sant'Anna

ITALY

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Simone Pesaresi

Marche Polytechnic University

ITALY

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ALESSANDRO GALDELLI

Università Politecnica delle Marche

ITALY

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Emanuele Frontoni

Full Professor of Computer Science

University of Macerata

ITALY

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Primo Zingaretti

Professor

Università Politecnica delle Marche

ITALY

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Nicole Hofmann

Marche Polytechnic University

ITALY

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Michela Papandrea

Senior Lecturer and Researcher

University of Applied Sciences

SWITZERLAND

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Adriano Mancini

Research Interests

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Articles (10)

Online Knowledge Distillation and Deep Supervision in HRNet: Green AI for Preterm Infants’ Pose Estimation

A Neural Rendering system for fashion design process

RenderGAN: Enhancing Real-time Rendering Efficiency with Deep Learning

Evaluation of Feature Selection and Regression Models to Predict Biomass of Sweet Basil by Using Drone and Satellite Imagery

VegRecoverAI: A deep learning-based system for automated vegetation recovery assessment and prediction with demonstration case study on gas pipeline construction

Patent landscapes and essential technical standards enabling low-carbon maritime operations

Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping

An automated workflow based on UAV imagery and Deep Learning methods for monitoring excavation area work

Forecasting and Early Warning System for Wastewater Treatment Plant Sensors Using Multitask and LSTM Neural Networks: A Simulated and Real-World Case Study

Continuous Proximal Monitoring of Diameter Variation from Root to Fruit

Collaborators (7)

SARA MOCCIA

Simone Pesaresi

ALESSANDRO GALDELLI

Emanuele Frontoni

Primo Zingaretti

Nicole Hofmann

Michela Papandrea

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