Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

M Gheisari, F Ebrahimzadeh, M Rahimi… - CAAI Transactions …, 2023 - Wiley Online Library
Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …

[HTML][HTML] Reliable Internet of Things: Challenges and future trends

MZ Khan, OH Alhazmi, MA Javed, H Ghandorh… - Electronics, 2021 - mdpi.com
The Internet of Things (IoT) is a vital component of many future industries. By intelligent
integration of sensors, wireless communications, computing techniques, and data analytics …

[HTML][HTML] OCR applied for identification of vehicles with irregular documentation using IoT

LA Glasenapp, AF Hoppe, MA Wisintainer, A Sartori… - Electronics, 2023 - mdpi.com
Given the lack of investments in surveillance in remote places, this paper presents a
prototype that identifies vehicles in irregular conditions, notifying a group of people, such as …

Transmit antenna selection in NOMA-based integrated satellite-HAP-terrestrial networks with imperfect CSI and SIC

H Shuai, K Guo, K An, Y Huang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Integrated satellite-high altitude platform-terrestrial networks (IS-HAP-TNs) and non-
orthogonal multiple access (NOMA) scheme are considered to be the key components of …

Research on object detection of PCB assembly scene based on effective receptive field anchor allocation

J Li, W Li, Y Chen, J Gu - Computational Intelligence and …, 2022 - Wiley Online Library
Vision‐based object detection of PCB (printed circuit board) assembly scenes is essential in
accelerating the intelligent production of electronic products. In particular, it is necessary to …

[HTML][HTML] LSTENet: Cement productivity prediction using a self-attention spatio-temporal variational autoencoder

G Shi, S Pan, R Zou - Powder Technology, 2024 - Elsevier
In the advent of the Industry 4.0 paradigm, intelligent manufacturing has gained prominence
with the integration of advanced Artificial Intelligence (AI) technologies aimed at augmenting …

[PDF][PDF] Enhanced long short-term memory (ELSTM) model for sentiment analysis.

D Tiwari, B Nagpal - Int. Arab J. Inf. Technol., 2021 - ccis2k.org
Sentiment analysis is used to embed an extensive collection of reviews and predicts
people's opinion towards a particular topic, which is helpful for decision-makers. Machine …

[PDF][PDF] Image Recognition Based on Deep Learning with Thermal Camera Sensing.

WT Sung, CH Lin, SJ Hsiao - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
As the COVID-19 epidemic spread across the globe, people around the world were advised
or mandated to wear masks in public places to prevent its spreading further. In some cases …

Holographic Reconfigurable Intelligent Surface-Aided Downlink NOMA IoT Networks in Short-Packet Communication

DT Vo, TN Nguyen, AT Le, VD Phan, M Voznak - IEEE Access, 2024 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) technology is projected to significantly increase the
spectrum efficiency of the fifth-generation and subsequent wireless networks. Holographic …

An RFID-assisted smart livestock and poultry farming system on the cloud

B Wu, J Li, Q Liu, KL Du - 2023 15th International Conference …, 2023 - ieeexplore.ieee.org
Green and healthy food is being favored by consumers. In this paper, we design a
radiofrequency identification (RFID)-based smart farming Internet of Things (IoT) system on …