Results 71 to 80 of about 7,598 (158)

Engineered Metal–Organic Frameworks‐Based Materials for Environmental Detection

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Engineered metal–organic frameworks (MOFs) regulated by various material modification strategies are discussed for environmental contaminant detection under different sensing mechanisms, providing future improvements of MOFs in environmental detection. Sensitive and selective detection of contaminants is crucial for environmental protection.
Pan Gao   +3 more
wiley   +1 more source

EC-GSM-IoT Network Synchronization with Support for Large Frequency Offsets

open access: yes, 2018
EDGE-based EC-GSM-IoT is a promising candidate for the billion-device cellular IoT (cIoT), providing similar coverage and battery life as NB-IoT. The goal of 20 dB coverage extension compared to EDGE poses significant challenges for the initial network ...
Huang, Qiuting   +4 more
core   +1 more source

Impacts of Climate Change on Food Security: Land Management–Based Strategies Within a Nature‐Based Solutions Framework

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Climate change poses serious threats to food security by affecting agricultural production processes in multiple ways. This study aims to analyze land management–based solution strategies that can be developed in response to this threat and presents a systematic and holistic framework through the relationship these strategies establish with ...
Nihal Genc, H. Ebru Colak
wiley   +1 more source

New developing narrow band IoT technology NB-IoT

open access: yes物联网学报, 2017
The newly developing low power wide area(LPWA) cellular data access requirements and challenges of Internet of Things is introduced,then the design principle and standardization progress of NB-IoT technologies are analyzed.At last,several typical NB-IoT ...
Zhi-bin ZHENG, De CHEN, Hao WU
doaj   +2 more sources

MXene‐Based Flexible Memory and Neuromorphic Devices

open access: yesSmall, EarlyView.
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li   +13 more
wiley   +1 more source

Radio Resource Management Scheme in NB-IoT Systems

open access: yesIEEE Access, 2018
Narrowband Internet of Things (NB-IoT) is the prominent technology that fits the requirements of future IoT networks. However, due to the limited spectrum (i.e., 180 kHz) availability for NB-IoT systems, one of the key issues is how to efficiently use ...
Hassan Malik   +5 more
doaj   +1 more source

On Time-of-Arrival Estimation in NB-IoT Systems [PDF]

open access: yes2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019
6 pages, 8 ...
Sha Hu 0001   +2 more
openaire   +2 more sources

Review on enhancing clinical decision support system using machine learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood   +4 more
wiley   +1 more source

Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations

open access: yes, 2016
The Internet of Things (IoT) promises ubiquitous connectivity of everything everywhere, which represents the biggest technology trend in the years to come.
Dohler, Mischa   +2 more
core   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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