Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

Artificial intelligence and sensor technologies in dairy livestock export: charting a digital transformation

S Neethirajan - Sensors, 2023 - mdpi.com
This technical note critically evaluates the transformative potential of Artificial Intelligence
(AI) and sensor technologies in the swiftly evolving dairy livestock export industry. We focus …

Big data analytics deep learning techniques and applications: A survey

HA Selmy, HK Mohamed, W Medhat - Information Systems, 2023 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

Task offloading and resource allocation algorithm based on deep reinforcement learning for distributed AI execution tasks in IoT edge computing environments

Z Aghapour, S Sharifian, H Taheri - Computer Networks, 2023 - Elsevier
Recently, the application of Artificial Intelligence (AI) in the Internet of Things (IoT) devices is
increasing. As these devices are limited in processing and storing massive computations of …

Air quality forecasting with hybrid LSTM and extended stationary wavelet transform

Y Zeng, J Chen, N Jin, X Jin, Y Du - Building and Environment, 2022 - Elsevier
Air quality measurements and forecasting is one of the most popular research topics in the
field of sustainable intelligent environmental design, urban area development and pollution …

Trends in using deep learning algorithms in biomedical prediction systems

Y Wang, L Liu, C Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

A novel proposal for deep learning-based diabetes prediction: converting clinical data to image data

MF Aslan, K Sabanci - Diagnostics, 2023 - mdpi.com
Diabetes, one of the most common diseases worldwide, has become an increasingly global
threat to humans in recent years. However, early detection of diabetes greatly inhibits the …

Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2023 - mdpi.com
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

NEWTR: a multipath routing for next hop destination in internet of things with artificial recurrent neural network (RNN)

AC Sumathi, A Javadpour, P Pinto… - International Journal of …, 2022 - Springer
Abstract Internet of Things (IoT) and Wireless Sensor Networks (WSN) are a set of low-cost
wireless sensors that can collect, process and send environment's data. WSN nodes are …

Deep learning methods for space situational awareness in mega-constellations satellite-based internet of things networks

F Massimi, P Ferrara, F Benedetto - Sensors, 2022 - mdpi.com
Artificial Intelligence of things (AIoT) is the combination of Artificial Intelligence (AI)
technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' …