WSN protocols and security challenges for environmental monitoring applications: A survey

KS Adu-Manu, F Engmann… - Journal of …, 2022 - Wiley Online Library
In recent years, communication technology has improved exponentially, partly owing to the
locations and nature of the deployment of sensor nodes. Wireless sensor networks (WSNs) …

IoT based thermal aware routing protocols in wireless body area networks: Survey: IoT based thermal aware routing in WBAN

S Jalili Marandi, M Golsorkhtabaramiri… - IET …, 2022 - Wiley Online Library
The growth of the world's population, especially that of the elderly, along with the outbreak of
infectious diseases such as COVID‐19 have caused hospitals and healthcare centres to …

LCIPA: Lightweight clustering protocol for industry 4.0 enabled precision agriculture

HB Mahajan, AA Junnarkar, M Tiwari, T Tiwari… - Microprocessors and …, 2022 - Elsevier
Smart agriculture using the Internet of Things (IoT) is an Industry 4.0 technology used in rural
and urban environments. Industry 4.0 is a new class of the Industrial Revolution that focuses …

GAPSO-SVM: an IDSS-based energy-aware clustering routing algorithm for IoT perception layer

M Norouzi Shad, M Maadani… - Wireless Personal …, 2022 - Springer
With the emergence of Internet of Things (IoT) having large scale and generating huge
amount of data, Intelligent Decision Support Systems (IDSSs) have attracted a lot of attention …

An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process

X Meng, Y Zhang, J Qiao - Neural Computing and Applications, 2021 - Springer
The real-time availability of key water quality parameters is of great importance for an
advanced and optimized process control in wastewater treatment plants (WWTPs). However …

Efficient energy mechanism in heterogeneous WSNs for underground mining monitoring applications

R Alsaqour, ES Ali, RA Mokhtar, RA Saeed… - IEEE …, 2022 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) play an important role in underground mining
applications. In particular, they help to collect information using sensors and provide …

[PDF][PDF] DeGATraMoNN: Deep Learning Memetic Ensemble to Detect Spam Threats via a Content-Based Processing

AA Ojugo, MI Akazue, PO Ejeh… - Kongzhi yu Juece …, 2023 - researchgate.net
Technological growth is targeted at advancing society to higher sophistication with ease.
The birth and advances of the Internet to ease sharing of resources can be attributed to …

Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm

QB Pham, HA Afan, B Mohammadi, AN Ahmed… - Soft Computing, 2020 - Springer
Artificial intelligence (AI) models have been effectively applied to predict/forecast certain
variable in several engineering applications, in particular, where this variable is highly …

[HTML][HTML] AGRO: A smart sensing and decision-making mechanism for real-time agriculture monitoring

K Koteish, H Harb, M Dbouk, C Zaki… - Journal of King Saud …, 2022 - Elsevier
Nowadays, the agriculture constitutes one of the leading sources of foods and it contributes
to the national income and livelihood of most countries. However, in the last two decades …

Mutual information feature selection (MIFS) based crop yield prediction on corn and soybean crops using multilayer stacked ensemble regression (MSER)

S Iniyan, R Jebakumar - Wireless Personal Communications, 2022 - Springer
Crop yield prediction model helps the farmers in order to make better decisions about the
appropriate time to cultivate the crops and what types of crops to be cultivated based on …