PBPHS: a profile-based predictive handover strategy for 5G networks
J Sun, Y Zhang, M Trik - Cybernetics and Systems, 2024 - Taylor & Francis
One of the necessities of mobile networks is uninterrupted access to wireless services,
taking into account the requirements of quality of service. With the development of the fifth …
taking into account the requirements of quality of service. With the development of the fifth …
Transformers in single object tracking: an experimental survey
Single-object tracking is a well-known and challenging research topic in computer vision.
Over the last two decades, numerous researchers have proposed various algorithms to …
Over the last two decades, numerous researchers have proposed various algorithms to …
Extraction of time-domain characteristics and selection of effective features using correlation analysis to increase the accuracy of petroleum fluid monitoring systems
In the current paper, a novel technique is represented to control the liquid petrochemical and
petroleum products passing through a transmitting pipe. A simulation setup, including an X …
petroleum products passing through a transmitting pipe. A simulation setup, including an X …
Applications of discrete wavelet transform for feature extraction to increase the accuracy of monitoring systems of liquid petroleum products
This paper presents a methodology to monitor the liquid petroleum products which pass
through transmission pipes. A simulation setup consisting of an X-ray tube, a detector, and a …
through transmission pipes. A simulation setup consisting of an X-ray tube, a detector, and a …
Introducing a precise system for determining volume percentages independent of scale thickness and type of flow regime
AM Mayet, SM Alizadeh, ZA Kakarash, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
When fluids flow into the pipes, the materials in them cause deposits to form inside the pipes
over time, which is a threat to the efficiency of the equipment and their depreciation. In the …
over time, which is a threat to the efficiency of the equipment and their depreciation. In the …
Single target tracking in high-resolution satellite videos: a comprehensive review
X Huang, D Wang, Q Zhu, Y Zheng… - Geo-spatial Information …, 2024 - Taylor & Francis
With the development of dynamic acquisition technology for satellite video data, significant
progress in target tracking has been made in recent years. This progress plays an important …
progress in target tracking has been made in recent years. This progress plays an important …
Applying data mining and artificial intelligence techniques for high precision measuring of the two-phase flow's characteristics independent of the pipe's scale layer
Scale formation inside oil and gas pipelines is always one of the main threats to the
efficiency of equipment and their depreciation. In this study, an artificial intelligence method …
efficiency of equipment and their depreciation. In this study, an artificial intelligence method …
A hybrid clustering method based on the several diverse basic clustering and meta-clustering aggregation technique
B Zhou, B Lu, S Saeidlou - Cybernetics and Systems, 2024 - Taylor & Francis
In hybrid clustering, several basic clustering is first generated and then for the clustering
aggregation, a function is used in order to create a final clustering that is similar to all the …
aggregation, a function is used in order to create a final clustering that is similar to all the …
Energy efficient design of fast Fourier transform using reversible logic
Digital computation using reversible logic has gained significant research interest in recent
years. It promises energy-efficient digital systems due to its information lossless …
years. It promises energy-efficient digital systems due to its information lossless …
Follow-me: Deceiving Trackers with Fabricated Paths
Convolutional Neural Networks (CNNs) are vulnerable to adversarial attacks in which
visually imperceptible perturbations can deceive CNN-based models. While current …
visually imperceptible perturbations can deceive CNN-based models. While current …