A review of recurrent neural network based camera localization for indoor environments
Camera localization involves the estimation of the camera pose of an image from a random
scene. We used a single image or sequence of images or videos as the input. The output …
scene. We used a single image or sequence of images or videos as the input. The output …
Uncovering the potential of indoor localization: Role of deep and transfer learning
Indoor localization (IL) is a significant topic of study with several practical applications,
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …
Revolutionizing education: using computer simulation and cloud-based smart technology to facilitate successful open learning
The article presents the proceedings of two workshops: Cloud-based Smart Technologies
for Open Education Workshop (CSTOE 2022) and Illia O. Teplytskyi Workshop on Computer …
for Open Education Workshop (CSTOE 2022) and Illia O. Teplytskyi Workshop on Computer …
Transfer learning-based nlos identification for uwb in dynamic obstructed settings
RE Nkrow, B Silva, D Boshoff… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Positioning with ultrawideband (UWB) is prominent among industrial localization systems,
due to its high-range resolution attributes and lower cost. However, one notable challenge …
due to its high-range resolution attributes and lower cost. However, one notable challenge …
ACNS Conference on Cloud and Immersive Technologies in Education: Report
This article serves as an introduction to a collection of selected papers presented at the
ACNS Conference on Cloud and Immersive Technologies in Education (CITEd 2022), which …
ACNS Conference on Cloud and Immersive Technologies in Education (CITEd 2022), which …
Smart lighting control system based on fusion of monocular depth estimation and multi-object detection
D Shen, C Ning, Y Wang, W Duan, P Duan - Energy and Buildings, 2022 - Elsevier
Smart lighting systems can reduce energy consumption by controlling lights according to the
distribution of personnel. Most of the current smart lighting systems using vision-based …
distribution of personnel. Most of the current smart lighting systems using vision-based …
Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction
R Malhotra, S Meena - Journal of Computational Science, 2024 - Elsevier
Software change prediction plays key role for maintaining software quality. Identification of
change prone parts of a software in early stages helps in optimization of resources and …
change prone parts of a software in early stages helps in optimization of resources and …
Computational science for a better future
SV Kovalchuk, VV Krzhizhanovskaya… - Journal of …, 2022 - Elsevier
Computational science [1] was introduced and developed as a large multidisciplinary
scientific field where multiple areas are joined together. Appearing at the intersection of …
scientific field where multiple areas are joined together. Appearing at the intersection of …
Software and Technical Complex of Control Basic Parameters of Reactor Installation
M Semerak, T Kravets, K Koba… - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
The main problem associated with the operation of nuclear power plants is the problem of
correct and timely diagnosis of failure or violation. The mistakes of technologists can lead to …
correct and timely diagnosis of failure or violation. The mistakes of technologists can lead to …
OBLoc: Online Batch Localization for Large-Scale Indoor Environments
The demand for indoor localization is increasing with ubiquitous computing and the Internet
of Things (IoT) emergence. Location awareness is crucial to intelligent systems in large …
of Things (IoT) emergence. Location awareness is crucial to intelligent systems in large …