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Particle Swarm Optimization-Based Noise Filtering Algorithm for Photon Cloud Data in Forest Area

Jiapeng Huang, Yanqiu Xing, Haotian You, Lei Qin, Jing Tian, Jianming Ma
2019 Remote Sensing  
This paper presents an automatic photon cloud filtering algorithm based on the Particle Swarm Optimization (PSO) algorithm, which can be used to optimize the two key parameters of the DBSCAN algorithm  ...  Moreover, the Density Based Spatial Clustering of Applications with Noise (DBSCAN) is a commonly used algorithm for noise removal from the photon cloud but there has not been an in-depth study on its parameter  ...  Aiming to filter out the noise photons, a new photon cloud noise filtering algorithm named the Particle Swarm Optimization Density Based Spatial Clustering of Applications with Noise (PSODBSCAN) is proposed  ... 
doi:10.3390/rs11080980 fatcat:yyjkbkqgbfeohixvkcbzmcyjj4

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest; TGRS Oct. 2019 7995-8010 Hu, T., see Kang, Z., TGRS Jan. 2019 181-193 Hu, T., Wu, Y., Zheng, G., Zhang,  ...  ., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 Hu, C., Zhang,  ...  ., +, TGRS Dec. 2019 10336-10349 Identification of Tropical Cyclone Centers in SAR Imagery Based on Template Matching and Particle Swarm Optimization Algorithms.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Javier Mata, Ignacio de Miguel, Ramón J. Durán, Noemí Merayo, Sandeep Kumar Singh, Admela Jukan, Mohit Chamania
2018 Optical Switching and Networkning Journal  
The use of AI-based techniques is first studied in applications related to optical transmission, ranging from the characterization and operation of network components to performance monitoring, mitigation  ...  This paper presents a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks.  ...  A different approach [73] , presents a particle swarm optimization (PSO) algorithm in order to solve the problem of resource allocation based on the signal-to-noise plus interference ratio optimization  ... 
doi:10.1016/j.osn.2017.12.006 fatcat:i443tt6fv5g2jmvfe7kn57unbq

Gamma Radiation Source Localization for Micro Aerial Vehicles with a Miniature Single-Detector Compton Event Camera [article]

Tomas Baca, Petr Stibinger, Daniela Doubravova, Daniel Turecek, Jaroslav Solc, Jan Rusnak, Martin Saska, Jan Jakubek
2020 arXiv   pre-print
A novel miniature system for localization and estimation of compact sources of gamma radiation for Micro Aerial Vehicles is presented in this paper.  ...  An onboard filter fuses the measurements and estimates the position of the radiation source during the flight.  ...  With the first N cones measured, we initialize the filter by optimizing for a point p, which has the minimum square distance to the cones' surfaces.  ... 
arXiv:2011.03356v1 fatcat:bzo2diurvfactdo3ialod4lrty

2021 Index IEEE Photonics Journal Vol. 13

2021 IEEE Photonics Journal  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Ultracompact Silicon Waveguide Bends Designed Using a Particle Swarm Optimization Algorithm.  ... 
doi:10.1109/jphot.2022.3149205 fatcat:xzfdp6eoijffzkqb7biyaptzua

National Conference on Recent Advances in Communication Engineering and Information Technology

2020 International journal for innovative engineering and management research  
We provide a broad-based engineering curriculum, with opportunities for specialization and self-directed learning and development.  ...  Our philosophy is not only to educate engineers, but also to prepare them for future leadership roles in industry– indeed, many of our alumni are now Directors of Industry, leading their organizations  ...  The pro-posed filters are used for plasmonic single band bandpass filter (BPF) applications in photonic integrated circuits (PIC's).  ... 
doi:10.48047/ijiemr/v08/spe/02 fatcat:woay334irjgebf5bixuc4ng6em

Survey of Promising Technologies for Quantum Drones and Networks

Adarsh Kumar, Surbhi Bhatia, Keshav Kaushik, Manjula Gandhi, Gayathri Devi, Diego Pacheco, Arwa Mashat
2021 IEEE Access  
QC is based on using the tiniest single particles known to be in nature, namely photons.  ...  , operate in areas having high background noise, easily detect and filter out deliberate jamming attempts, a potential anti-stealth technology, and many more.  ... 
doi:10.1109/access.2021.3109816 fatcat:gkyevfoqrfertef7j7gjzcstii

An Application Independent Review of Multimodal 3D Registration Methods

Ph.D. E. Saiti, T. Theoharis
2020 Computers & graphics  
and the potential for cross-fertilization.  ...  A discussion on trends, observations and challenges for further research concludes the review.  ...  Particle Swarm Optimization (PSO) is a relatively recent population-based evolutionary computation technique for solving optimization problems, which is inspired by the swarming or collaborative behavior  ... 
doi:10.1016/j.cag.2020.07.012 fatcat:ggb4esbyhrfzxhcequym5dariu

Smart Indoor Farms: Leveraging Technological Advancements to Power a Sustainable Agricultural Revolution

Anirban Jyoti Hati, Rajiv Ranjan Singh
2021 AgriEngineering  
A six-layer smart indoor farms architecture has also been proposed, which explains how data are collected using various sensors and devices and then transmitted onto the cloud infrastructure for further  ...  Finally, in order to adapt smart indoor farms and their study scope, our work has presented various research areas to potential researchers.  ...  Ramesh, Dean Research and Innovation, Presidency University, Itgalpur Raankunte, Yelahanka, Bengaluru, Karnataka 560064, India for all kinds of logistics and technical support.  ... 
doi:10.3390/agriengineering3040047 fatcat:aiiydc3dovecrc6u43kupid3ti

Analysis of Aperture Shape Changing Trend Base on the Shaped Charge Jet Penetration through the Steel Target [chapter]

Junqing Huang, Yalong Ma, Kelei Huang, Jianxun Zhao
2012 Communications in Computer and Information Science  
Abstract: In this paper, an improved optimization approach, free search with double populations (FSDP) which is based on free search (FS) algorithm, is proposed. Comparing to FS 1 1Shanghai  ...  These algorithms can provide basic technical support for the simulation and experimental verification of surface fitting algorithm based on orthogonal curvature. Abstract.  ...  , traditional genetic algorithm and particle swarm optimization algorithm when used in association rules mining.  ... 
doi:10.1007/978-3-642-34384-1_2 fatcat:xvp3o6agk5hxpmbjptnthxiz5m

A Survey on Traffic Prediction Techniques Using Artificial Intelligence for Communication Networks

Aaron Chen, Jeffrey Law, Michal Aibin
2021 Telecom  
Furthermore, techniques are sub-categorized into their usability in Local or Wide Area Networks.  ...  This survey introduces machine learning and the motivations behind it for creating cognitive networks.  ...  mechanism to filter data noise since it can compare current changes to historical changes in signal state [14,15].  ... 
doi:10.3390/telecom2040029 fatcat:5o3d27bp35cf7kl626sbkmrsh4

Contents

2011 Procedia Engineering  
based on Particle Swarm Optimization Shi-Ming Chen and Yun-Feng Dong . . .  ...  Bende Gan . . 2393 Particle 2393 Swarm Optimization Algorithm for Passive Multi-Target Tracking Jinlong Yang, Hongbing Ji and Jinmang Liu UWB Filter with Notch-Band Characteristic using Radial-Loaded  ...  Monte Carlo Simulation of Energy Distribution of Radiation Field Liu Yi, Chen Xiao-Bai and Wang Chun- Yan . . 3330 An Improved Association Rules Algorithm based on Frequent Item Sets Yaqiong Jiang  ... 
doi:10.1016/s1877-7058(11)04811-9 fatcat:adrkzzediretxma23pbeqmltvu

Machine Learning In Astroinformatics Using Massively Parallel Data Processing

Tomas Peterka, CSc. RNDr. Petr Skoda
2015 Zenodo  
Master's thesis exploring possibilities of classification of astronomical data using massive parallel techniques - namely convolutional deep neural networks.  ...  Acknowledgements As in the previous MLP model, it was necessary to introduce some nonlinearity. We have used ReLU unit which is preferred over other non-linear units for its speed.  ...  The resulting network is depicted in figure 5 .10b.  ... 
doi:10.5281/zenodo.44728 fatcat:dyga25itxvaf3loliwrjgz7vde

Table of Contents

2020 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)  
of Distribution Network Transformer Based on Random Matrix Research on Signature Verification of Two-Tickets Based on Siamese Convolutional Neural Particle Swarm Optimization Towards Data Collection in  ...  Method 4081 Po11-37 Application of Improved Hybrid Particle Swarm Optimization Algorithm in Model Identification of The Designation and Development of Automatic Power Control System with Energy Storage  ... 
doi:10.1109/ei250167.2020.9347098 fatcat:uzijufuzb5ab3blgftr5niughe

A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches [article]

Jiawei Zhang, Chen Li, Md Mamunur Rahaman, Yudong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek
2021 arXiv   pre-print
In conclusion, this paper provides new ideas for the future development trend of microorganism counting, and provides systematic suggestions for implementing integrated microorganism counting systems in  ...  Image analysis-based microorganism counting methods are efficient comparing with traditional plate counting methods.  ...  Guoxian Li for their important discussion.  ... 
arXiv:2103.13625v4 fatcat:fdzk5q4iqfeexlk7ek4crbxuve
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