Results 41 to 50 of about 206,924 (277)

Opportunities and risks of internet of things (IoT) technologies for circular business models: A literature review.

Journal of Environmental Management, 2023
In recent years, circular business models (CBM) have become an inevitable requirement to foster improvements in environmental performance. However, the current literature rarely discusses the link between Internet of Things (IoT) and CBM.
Suiting Ding, A. Tukker, H. Ward
semanticscholar   +1 more source

DiRPL: A RPL-Based Resource and Service Discovery Algorithm for 6LoWPANs

Applied Sciences, 2018
The Internet of Things (IoT) will bring together billions of devices, denoted as Smart Objects (SOs), in an Internet-like architecture. Typically, SOs are embedded devices with severe constraints in terms of processing capabilities, available memory (RAM/
Luca Davoli, Mattia Antonini, Gianluigi Ferrari   +2 more
doaj   +1 more source

Performance Assessment of DL for Network Intrusion Detection on a Constrained IoT Device

Future Internet
This work investigates the deployment of Deep Learning (DL) models for network intrusion detection on resource-constrained IoT devices, using the public CICIoT2023 dataset. In particular, we consider the following DL models: Long Short-Term Memory (LSTM),
Armin Mazinani, Daniele Antonucci, Luca Davoli, Gianluigi Ferrari   +3 more
doaj   +1 more source

Air Quality Prediction via Embedded ML/DL and Quantized Models

IEEE Access
In the people’s everyday life, one of the most significant (and unfortunately well-known) environmental problems with substantial impact and effects is air pollution.
Armin Mazinani, Daniele Antonucci, Danilo Pietro Pau, Luca Davoli, Gianluigi Ferrari   +4 more
doaj   +1 more source

Air quality dataset from an indoor airport travelers transit area

Data in Brief
The experimental dataset (organized in a semicolon-separated text format) is composed by air quality records collected over a 1-year period (October 2022-October 2023) in an indoor travelers’ transit area in the Brindisi airport, Italy.
Luca Davoli, Laura Belli, Gianluigi Ferrari   +2 more
doaj   +1 more source

An In-Networking Double-Layered Data Reduction for Internet of Things (IoT)

Sensors, 2019
Due to the ever-increasing number and diversity of data sources, and the continuous flow of data that are inevitably redundant and unused to the cloud, the Internet of Things (IoT) brings several problems including network bandwidth, the consumption of ...
Waleed M. Ismael, Mingsheng Gao, Asma A. Al-Shargabi, Ammar Zahary   +3 more
doaj   +1 more source

Prediction of dissolved oxygen in a fishery pond based on gated recurrent unit (GRU)

Information Processing in Agriculture, 2021
Dissolved oxygen (DO), an important water quality indicator in aquaculture, affects the survival rate of aquatic creatures and the yield of aquatic production.
Wuyan Li, Hao Wu, Nanyang Zhu, Yongnian Jiang, Jinglu Tan, Ya Guo   +5 more
doaj   +1 more source

A Printed Zinc‐Ion Microbattery with Extended Shelf Life and Durability for Energy Autonomous Sensors

Advanced Functional Materials, EarlyView.
We present a fully printed aqueous zinc‐ion microbattery (ZnIB) enabled by graphene‐decorated zinc anode and printed MnO@NC cathode using sustainable aqueous‐based ink formulations. The printed 3D electrodes ensure uniform zinc deposition, low overpotential, and long‐term stability.
Nagaraju Goli, Stefano Tagliaferri, Lifu Zhang, Yeonkyung Lee, Haoyu Bai, Luis E. Salinas‐Farran, Joshua N. Rasera, Siyuan Deng, Evan Fisher, Matteo Massetti, Maria Sokolikova, Cecilia Mattevi   +11 more
wiley   +1 more source

Internet of Things Enabled Machine Learning-Based Smart Systems: A Bird’s Eye View

Engineering Proceedings, 2023
Machine learning (ML) helps the Internet of Things (IoT) become widely used by automatically identifying data patterns and extracting important insights from the vast pool of observed data.
Ashish Kumar Rastogi, Swapnesh Taterh, Billakurthi Suresh Kumar   +2 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source