[HTML][HTML] Mobility control centre and artificial intelligence for sustainable urban districts

FMM Cirianni, A Comi, A Quattrone - Information, 2023 - mdpi.com
The application of artificial intelligence (AI) to dynamic mobility management can support the
achievement of efficiency and sustainability goals. AI can help to model alternative mobility …

Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X. 0 Smart Farming Research Fields: A Progress Report

T Yeap, I Kiringa, P Branco, P Killeen, C Lin… - Proceedings of the 33rd …, 2023 - dl.acm.org
The world is facing a worrisome dilemma. On the one hand, food demand is expected to rise
significantly in the decades ahead due to various factors, mainly the inevitable increase in …

Multi-UAV route planning for data collection from heterogeneous IoT devices

S Wang, Y Long, Y Zhou, G Xu - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
IoT devices are widely adopted in various scenarios to realize real-time data collection.
However, it is challenging to efficiently collect the sensing data when IoT devices are …

The Carrier-Based Sensor Deployment Problem in Industrial Internet of Things With Mesh Topologies

CF Cheng, YC Dong, MH Hsu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The primary aim of this research is to address the carrier-based sensor deployment problem
(CSDP) in the industrial Internet of Things (IIoT), with a specific focus on mesh scenarios. A …

Online Container Caching with Late-Warm for IoT Data Processing

G Li, H Tan, X Zhang, C Zhang, R Zhou… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Serverless edge computing is an efficient way to execute event-driven, short-duration, and
bursty IoT data processing tasks on resource-limited edge servers, using on-demand …

Integrating ESG Principles into Smart Logistics: Toward Sustainable Supply Chains

A Leogrande - 2024 - hal.science
The integration of Environmental, Social, and Governance (ESG) principles into smart
logistics represents a transformative approach to supply chain management, offering …

Corn yield prediction using crop growth and machine learning models

AB Moswa, P Killeen, I Kiringa, T Yeap - Advances in Distributed …, 2023 - Springer
The advancement of Internet of Things technology has created a plethora of new
applications and a growing number of devices connected to the internet. Among these …

Predictive maintenance by detection of gradual faults in an iot-enabled public bus

G Vira, P Killeen, T Yeap… - 2024 IEEE Canadian …, 2024 - ieeexplore.ieee.org
The widespread incorporation of Internet of Things (IoT) devices in various systems such as
mobile phones, vehicles, and security systems is used to collect data. These large volumes …

Comparing data-driven meta-heuristics for the bi-objective Component Repairing Problem

C Diamantini, A Mircoli, O Pisacane… - 2022 IEEE Intl Conf on …, 2022 - ieeexplore.ieee.org
Due to both the increasing use of automation in production processes and the budget
devoted for purchasing equipment, maintenance plays a key role in making a company …

3𝑟𝑑 Workshop on Software Techniques for Engineering Cyber-Physical Systems

K Kontogiannis, D Amyot, J Mylopoulos - Proceedings of the 33rd …, 2023 - dl.acm.org
Cyber-Physical systems (CPS) refer to complex sociotechnical sys-tems that integrate
physical, cyber, and social elements to form complete solutions that require the real-time …