Results 121 to 130 of about 206,924 (277)

The evolution of NB-IoT standard system and development of Internet of things industry

物联网学报, 2018
Looking at the development of the Internet of things industry system,the birth of NB-IoT standard is the inevitable product of the development of the Internet of things.But in the development process of NB-IoT standard,it has gone through the business ...
Yunzhou XIE
doaj   +2 more sources

A Leaf‐Inspired Janus‐Structured Triboelectric‐Moisture Hybrid Energy Harvester

Advanced Energy Materials, EarlyView.
This study proposes a bioinspired Janus structured energy‐leaf with hybrid triboelectric‐moisture hybrid energy harvesters. This hybrid energy harvester is demonstrated in an intelligent emergency system for effective distress signaling and evacuation guiding during potential crises.
Liang Wei, Rui Gu, Yixuan Fu, Ziwei Huo, Chao Liu, Jiahong Yang, Siqi Sun, Yang Liu, Qijun Sun, Dong‐Hwan Kim, Zhong Lin Wang   +10 more
wiley   +1 more source

Digital health resilience: IoT solutions in pandemic response and future healthcare scenarios

Discover Sustainability
This article explores the Internet of Things (IoT), an innovative technical advancement that utilizes the capabilities of billions of sensors across various applications.
Pardhu Thottempudi, Reddy Madhavi Konduru, Hima Bindu Valiveti, Swaraja Kuraparthi, Vijay Kumar   +4 more
doaj   +1 more source

Autonomous Internet of Things (IoT) Data Reduction Based on Adaptive Threshold. [PDF]

Sensors (Basel), 2023
Zhang H, Na J, Zhang B.
europepmc   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

Advanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova, Alexandra Parichenko, Shirong Huang, Santiago Melia, Gianaurelio Cuniberti   +4 more
wiley   +1 more source

Sustainable energy management using the Internet of Things (IoT). [PDF]

PLoS One, 2023
Shah MH, Khan S, Khan A, Khan I, Eldin SM.   +4 more
europepmc   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source