Energy-efficient wireless sensor networks for precision agriculture: A review
HM Jawad, R Nordin, SK Gharghan, AM Jawad… - Sensors, 2017 - mdpi.com
Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large
amount of information. Precision agriculture (PA) is a management strategy that employs …
amount of information. Precision agriculture (PA) is a management strategy that employs …
Blockchain based solutions to mitigate distributed denial of service (DDoS) attacks in the Internet of Things (IoT): A survey
Internet of Things (IoT) devices are widely used in many industries including smart cities,
smart agriculture, smart medical, smart logistics, etc. However, Distributed Denial of Service …
smart agriculture, smart medical, smart logistics, etc. However, Distributed Denial of Service …
Energy management for internet of things via distributed systems
The distributed energy system (DES) architecture is subject to confusion about renewable
energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable …
energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable …
Sensors for context-aware smart healthcare: A security perspective
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …
and faster data networks have propelled environments augmented with contextual and real …
Robust, imperceptible and optimized watermarking of DICOM image using Schur decomposition, LWT-DCT-SVD and its authentication using SURF
In this proposed work, a dual image watermarking algorithm is used to protect the data
against copyright violations. In this work, the DICOM image is used as a host image. Two …
against copyright violations. In this work, the DICOM image is used as a host image. Two …
Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives
This paper presents the findings of detailed and comprehensive technical literature aimed at
identifying the current and future research challenges of tactical autonomy. It discusses in …
identifying the current and future research challenges of tactical autonomy. It discusses in …
Recurrent neural network architecture for forecasting banana prices in Gujarat, India
Objectives The forecasting of horticulture commodity prices, such as bananas, has wide-
ranging impacts on farmers, traders and end-users. The considerable volatility in …
ranging impacts on farmers, traders and end-users. The considerable volatility in …
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …
confluence between Big Data technologies and bio-inspired computation. A manifold of …
Environment-monitoring IoT devices powered by a TEG which converts thermal flux between air and near-surface soil into electrical energy
Energy harvesting has an essential role in the development of reliable devices for
environmental wireless sensor networks (EWSN) in the Internet of Things (IoT), without …
environmental wireless sensor networks (EWSN) in the Internet of Things (IoT), without …
Adoption of machine learning algorithm for predicting the length of stay of patients (construction workers) during COVID pandemic
The construction sector in a rapidly develo** country like India is a very unorganized
sector. A large number of workers were affected and hospitalized during the pandemic. This …
sector. A large number of workers were affected and hospitalized during the pandemic. This …