Cristina M. Pinotti

About Cristina M. Pinotti

Cristina M. Pinotti, With an exceptional h-index of 24 and a recent h-index of 13 (since 2020), a distinguished researcher at Università degli Studi di Perugia, specializes in the field of Design of Algorithms, Drones, Networking, Combinatorics.

His recent articles reflect a diverse array of research interests and contributions to the field:

First use of unmanned aerial vehicles to monitor Halyomorpha halys and recognize it using Artificial Intelligence

Wireless IoT sensors data collection reward maximization by leveraging multiple energy-and storage-constrained UAVs

Drone-based Bug Detection in Orchards with Nets: A Novel Orienteering Approach

How the wind can be leveraged for saving energy in a truck-drone delivery system

Enhancing Machine Learning Training Performance in Smart Agriculture Datasets Using a Mobile App

Preliminary results for Halyomorpha halys monitoring relying on a custom dataset

A Drone-based Automated Halyomorpha halys Scouting: A Case Study on Orchard Monitoring

YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones

Cristina M. Pinotti Information

University

Position

Professor of Computer Science Italy

Citations(all)

2239

Citations(since 2020)

662

Cited By

1953

hIndex(all)

24

hIndex(since 2020)

13

i10Index(all)

71

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Cristina M. Pinotti Skills & Research Interests

Design of Algorithms

Drones

Networking

Combinatorics

Top articles of Cristina M. Pinotti

First use of unmanned aerial vehicles to monitor Halyomorpha halys and recognize it using Artificial Intelligence

Pest Management Science

2024/4/2

Wireless IoT sensors data collection reward maximization by leveraging multiple energy-and storage-constrained UAVs

Journal of Computer and System Sciences

2024/2/1

Drone-based Bug Detection in Orchards with Nets: A Novel Orienteering Approach

ACM Transactions on Sensor Networks

2024

How the wind can be leveraged for saving energy in a truck-drone delivery system

IEEE Transactions on Intelligent Transportation Systems

2023/1/10

Enhancing Machine Learning Training Performance in Smart Agriculture Datasets Using a Mobile App

2023/11/6

Preliminary results for Halyomorpha halys monitoring relying on a custom dataset

2023/11/6

A Drone-based Automated Halyomorpha halys Scouting: A Case Study on Orchard Monitoring

2023

YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones

Computers and Electronics in Agriculture

2023/10/1

Exploring Mixed-Grid Environments for Drone-Based Last-Mile Logistics Optimization

2023

Dispatching the Minimum Number of UAVs in Neighborhood IoT Networks

2023/9/7

Dispatching point selection for a drone-based delivery system operating in a mixed Euclidean–Manhattan grid

Annals of Operations Research

2023/2/27

Halyomorpha Halys Detection in Orchard from UAV Images Using Convolutional Neural Networks

2023/6/19

A Novel Multi-Layer Framework for BVLoS Drone Operation: A Preliminary Study

2023/1/14

Intrusion detection framework for invasive fpv drones using video streaming characteristics

ACM Transactions on Cyber-Physical Systems

2023/4/19

On the scheduling of conflictual deliveries in a last-mile delivery scenario with truck-carried drones

Pervasive and Mobile Computing

2022/12/1

Optimal and heuristic algorithms for data collection by using an energy-and storage-constrained drone

2022/9/8

On the evaluation of a drone-based delivery system on a mixed euclidean-manhattan grid

IEEE Transactions on Intelligent Transportation Systems

2022

Delivery with UAVs: a simulated dataset via ATS

2022/6/19

Drone-based optimal and heuristic orienteering algorithms towards bug detection in orchards

2022

See List of Professors in Cristina M. Pinotti University(Università degli Studi di Perugia)