Relevant bibliographies by topics / Phase-Based Algorithms

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Phase-Based Algorithms'

Author: Grafiati
Published: 1 February 2025
Last updated: 19 July 2025

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Journal articles on the topic "Phase-Based Algorithms"

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Li, Fanxing, Wei Yan, Fupin Peng, Simo Wang, and Jialin Du. "Enhanced Phase Retrieval Method Based on Random Phase Modulation." Applied Sciences 10, no. 3 (2020): 1184. http://dx.doi.org/10.3390/app10031184.

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The phase retrieval method based on random phase modulation can wipe out any ambiguity and stagnation problem in reconstruction. However, the two existing reconstruction algorithms for the random phase modulation method are suffering from problems. The serial algorithm from the spread-spectrum phase retrieval method can realize rapid convergence but has poor noise immunity. Although there is a parallel framework that can suppress noise, the convergence speed is slow. Here, we propose a random phase modulation phase retrieval method based on a serial–parallel cascaded reconstruction framework t
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Hu, Xiao-Xiao, and Kit Ian Kou. "Phase-based edge detection algorithms." Mathematical Methods in the Applied Sciences 41, no. 11 (2017): 4148–69. http://dx.doi.org/10.1002/mma.4567.

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Yugov, Vsevolod, and Itsuo Kumazawa. "Online Boosting Algorithm Based on Two-Phase SVM Training." ISRN Signal Processing 2012 (August 14, 2012): 1–8. http://dx.doi.org/10.5402/2012/740761.

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We describe and analyze a simple and effective two-step online boosting algorithm that allows us to utilize highly effective gradient descent-based methods developed for online SVM training without the need to fine-tune the kernel parameters, and we show its efficiency by several experiments. Our method is similar to AdaBoost in that it trains additional classifiers according to the weights provided by previously trained classifiers, but unlike AdaBoost, we utilize hinge-loss rather than exponential loss and modify algorithm for the online setting, allowing for varying number of classifiers. W
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Ahmadi, Hamed, and Chen-Fu Chiang. "Quantum phase estimation with arbitrary constant-precision phase shift operators." Quantum Information and Computation 12, no. 9&10 (2012): 864–75. http://dx.doi.org/10.26421/qic12.9-10-9.

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While Quantum phase estimation (QPE) is at the core of many quantum algorithms known to date, its physical implementation (algorithms based on quantum Fourier transform (QFT) ) is highly constrained by the requirement of high-precision controlled phase shift operators, which remain difficult to realize. In this paper, we introduce an alternative approach to approximately implement QPE with arbitrary constant-precision controlled phase shift operators. The new quantum algorithm bridges the gap between QPE algorithms based on QFT and Kitaev's original approach. For approximating the eigenphase p
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Naimipour, Naveed, Shahin Khobahi, Mojtaba Soltanalian, Haleh Safavi, and Harry C. Shaw. "Unfolded Algorithms for Deep Phase Retrieval." Algorithms 17, no. 12 (2024): 587. https://doi.org/10.3390/a17120587.

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Exploring the idea of phase retrieval has been intriguing researchers for decades due to its appearance in a wide range of applications. The task of a phase retrieval algorithm is typically to recover a signal from linear phase-less measurements. In this paper, we approach the problem by proposing a hybrid model-based, data-driven deep architecture referred to as Unfolded Phase Retrieval (UPR), which exhibits significant potential in improving the performance of state-of-the-art data-driven and model-based phase retrieval algorithms. The proposed method benefits from the versatility and interp
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Choi, Seong Woo. "Scheduling Algorithm for Reentrant Flexible Flow Shop with the Objective Function of Minimizing Orders’ Total Flow Time." Korean Production and Operations Management Society 34, no. 1 (2023): 129–43. http://dx.doi.org/10.32956/kopoms.2023.34.1.129.

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This study focuses on a scheduling problem in a flexible flow shop, where there are serial stages, each with identical parallel machines. We suggest heuristic algorithms for the problem to minimize the total flow time of a given set of orders. Each order is composed of multiple lots and is processed on any parallel machines at each stage. This shop has reentrant flows since products for specific orders should visit the processing stages twice. We suggest algorithms of two types. The algorithms of the first type are three-phase algorithms, and the second type's algorithm is one-phase. In the fi
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Vrouva, Sotiria, George A. Koumantakis, Varvara Sopidou, Petros I. Tatsios, Christos Raptis, and Adam Adamopoulos. "Comparison of Machine Learning Algorithms and Hybrid Computational Intelligence Algorithms for Rehabilitation Classification and Prognosis in Reverse Total Shoulder Arthroplasty." Bioengineering 12, no. 2 (2025): 150. https://doi.org/10.3390/bioengineering12020150.

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Despite the increasing application of machine learning and computational intelligence algorithms in medicine and physiotherapy, accurate classification and prognosis algorithms for postoperative patients in the rehabilitation phase are still lacking. The present study was carried out in two phases. In Phase I, classification performance of simple machine learning algorithms applied on data of patients suffering of reverse total shoulder arthroplasty (RTSA), examining algorithms’ classification accuracy and patients’ rehabilitation prognosis. In Phase II, hybrid computational intelligence algor
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Wu, Ting, Yuling Yang, Hao Wang, et al. "Investigation of an Improved Angular Spectrum Method Based on Holography." Photonics 11, no. 1 (2023): 16. http://dx.doi.org/10.3390/photonics11010016.

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Digital holography (DH) is a novel, real-time, non-destructive, and quantitative phase-contrast imaging method that is particularly suitable for label-free live biological cell imaging and real-time dynamic monitoring. It is currently a research hotspot in the interdisciplinary field of optics and biomedical sciences, both domestically and internationally. This article proposes an improved angle spectrum algorithm based on holographic technology, which reconstructs a cellular hologram based on phase information. Optical images and chromosome cell images, reconstructed using holographic technol
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Zou, Feng, Lei Wang, Xinhong Hei, Debao Chen, Qiaoyong Jiang, and Hongye Li. "Bare-Bones Teaching-Learning-Based Optimization." Scientific World Journal 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/136920.

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Teaching-learning-based optimization (TLBO) algorithm which simulates the teaching-learning process of the class room is one of the recently proposed swarm intelligent (SI) algorithms. In this paper, a new TLBO variant called bare-bones teaching-learning-based optimization (BBTLBO) is presented to solve the global optimization problems. In this method, each learner of teacher phase employs an interactive learning strategy, which is the hybridization of the learning strategy of teacher phase in the standard TLBO and Gaussian sampling learning based on neighborhood search, and each learner of le
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Pan, Jeng-Shyang, Li-Fa Liu, Shu-Chuan Chu, Pei-Cheng Song, and Geng-Geng Liu. "A New Gaining-Sharing Knowledge Based Algorithm with Parallel Opposition-Based Learning for Internet of Vehicles." Mathematics 11, no. 13 (2023): 2953. http://dx.doi.org/10.3390/math11132953.

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Heuristic optimization algorithms have been proved to be powerful in solving nonlinear and complex optimization problems; therefore, many effective optimization algorithms have been applied to solve optimization problems in real-world scenarios. This paper presents a modification of the recently proposed Gaining–Sharing Knowledge (GSK)-based algorithm and applies it to optimize resource scheduling in the Internet of Vehicles (IoV). The GSK algorithm simulates different phases of human life in gaining and sharing knowledge, which is mainly divided into the senior phase and the junior phase. The
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Dissertations / Theses on the topic "Phase-Based Algorithms"

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Pereira, Frances Elizabeth. "Duality-based algorithms for the global solution of fluid phase equilibria with general equations of state." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526380.

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Cao, Yufei [Verfasser]. "Robust Numerical Algorithms Based on Corrected Operator Splitting for Two-Phase Flow in Porous Media / Yufei Cao." Aachen : Shaker, 2010. http://d-nb.info/110118406X/34.

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Choi, Won-Suk. "Phase-only and amplitude-only adaptive algorithms based on a D(3)LS method for smart antenna systems and airborne radar applications." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2005. http://wwwlib.umi.com/cr/syr/main.

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Mahamdi, Célia. "Multi-Consensus distribué : agrégation et révocabilité." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS426.

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Cette thèse présente deux contributions dans le domaine des systèmes distribués : OMAHA et le Consensus f-Révocable. OMAHA (Opportunistic Message Aggregation for pHase-based Algorithms) est un mécanisme d'agrégation de messages conçu pour les algorithmes à phases. Dans les environnements Cloud, où plusieurs applications partagent la même infrastructure, la bande passante est une ressource critique. Dans les datacenters, une partie importante du trafic est consacrée aux petits messages. Chaque message possède un en-tête, ainsi, l'accumulation de ces petits messages pose un véritable problème et
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Maciel, Lucas da Silva. "A novel swarm-based algorithm for phase unwrapping." reponame:Repositório Institucional da UFSC, 2014. https://repositorio.ufsc.br/xmlui/handle/123456789/129595.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Mecânica, Florianópolis, 2014.<br>Made available in DSpace on 2015-02-05T21:16:46Z (GMT). No. of bitstreams: 1 331656.pdf: 3739147 bytes, checksum: 4434e631824c3243a2eb1e0e7148fe81 (MD5) Previous issue date: 2014<br>O correto funcionamento de tubulações subterrâneas para o transporte de gás e petróleo depende de um monitoramento frequente e correto dos estados de tensões. Avanços recentes na medição de tensões residuais têm aplicado métodos ópticos em conjunto com o al
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Bakkar, Mostafa. "Sag effects on protection system in distributed generation grids." Doctoral thesis, Universitat Politècnica de Catalunya, 2022. http://hdl.handle.net/10803/673721.

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Distributed Generators (DGs) are sensible to voltage sags, so the protection devices must trip fast to disconnect the faulted part of the grid. The DG disconnection will not be desirable in the near future with a large penetration, so it will be necessary to lay down new requirements that should be based on avoiding unnecessary disconnections. Therefore, to prevent unnecessary tripping when inverter-based DGs are connected to the Medium Voltage (MV) grid, reliable and effective protection strategies need to be developed, considering the limited short-circuit current contribution of DG. The in
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Jattiem, Mogamad Shaheed. "An improved algorithm for phase-based voltage dip classification." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/5201.

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Word processed copy.<br>Includes bibliographical references (leaves 71-72)<br>In this thesis, a new phase-based algorithm is developed, which overcomes the shortcomings of the Bollen algorithms. The new algorithm computes the dip type based on the difference in phase angle between the measured voltages.
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Xia, Tao. "Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/77296.

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The Internet Based real-time GPS synchronized wide-area Frequency Monitoring Network (FNET) is an extremely low cost and quickly deployable wide-area frequency measurement system with high dynamic accuracy which consists of Frequency Disturbance Recorder (FDR) distributed to more than 100 places around North America and an Information Management System situated at Virginia Tech. Since its first FDR deployment in 2003, the FNET system has been proved to be able to reliably receive phasor data accurately measured at and instantaneously sent via the Internet from different locations of interest,
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Maciel, Luiz Alexandre Hiane da Silva. "A timestamp-based two phase commit protocol for web services." Instituto Tecnológico de Aeronáutica, 2011. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1974.

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Service Oriented Architecture (SOA) allows the development of software with requirements of interoperability and loose coupling. New services can be offered through the composition of existing services in order to address new business requirements. Business-to-business collaborative web applications demand a loosely coupled, coarse-grained interaction model. Thus, the traditional transaction architectures based on the ACID must be re-visited to support long-running web services. For such web services, it is not advisable to lock resources because they become blocked to other transactions. The
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Arslan, Omer Cagri. "Implementation And Performance Evaluation Of A Three Antenna Direction Finding System." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611215/index.pdf.

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State of the art direction finding (DF) systems usually have several antennas in order to increase accuracy and robustness to certain factors. In this thesis, a three antenna DF system is built and evaluated. While more antennas give better DF performance, a three antenna system is useful for system simplicity and many of the problems in DF systems can be observed and evaluated easily. This system can be used for both azimuth and elevation direction of arrival (DOA) estimation. The system is composed of three monopole antennas, an RF front end, A/D converters and digital signal processing (DSP
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Books on the topic "Phase-Based Algorithms"

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Bogumil, Veniamin, and Sarango Duke. Telematics on urban passenger transport. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1819882.

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The monograph discusses the application of telematics in dispatch control systems in urban passenger transport. The role of telematics as a technological basis in automating the solution of control tasks, accounting and analysis of the volume and quality of transport work in modern dispatch control systems on urban passenger transport is shown. Analytical models have been developed to estimate the capacity of a high-speed bus transportation system on a dedicated line. Mathematical models and algorithms for predicting passenger vehicle interior filling at critical stages of urban passenger tran
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Damodaran, A. Managing Arts in Times of Pandemics and Beyond. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192856449.001.0001.

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The work seeks to provide a management perspective about museums, theatres, and related organizations (like auction houses) from the angles of philosophy, policy, organizational design, economics, and technology. The work seeks to examine the unprecedented crisis engendered by the COVID-19 pandemic on arts organizations across the world and the management strategies adopted to handle the pandemic. The work delves into the immense significance of digital technologies such as streaming technologies, algorithm-driven sales, and information storing digital ledgers like blockchains in guiding the f
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Nolan, Jerry P. Advanced life support. Edited by Neil Soni and Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0091.

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Anaesthetists have a central role in cardiopulmonary resuscitation (CPR). The incidence of treated out-of-hospital cardiopulmonary arrest is 40 per 100 000 population and is associated with a survival rate to hospital discharge of 8–10%. The incidence of in-hospital cardiac arrest (IHCA) is 1–5 per 1000 admissions and is associated with a survival rate to hospital discharge of 13–17%. The most effective strategy for reducing mortality from IHCA is to prevent it occurring by detecting and treating those at risk or to identify in advance those with no chance of survival and to make a decision no
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Book chapters on the topic "Phase-Based Algorithms"

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Dolly, Bably, and Deepa Raj. "Image Retrieval Based on Texture Using Local Binary Pattern and Local Phase Quantization." In Algorithms for Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6307-6_7.

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Guo, Yahong, Jinbao Li, Longjiang Guo, Jinghua Zhu, and Xu Liu. "A Cache Based Multi-join Query Method with Two-Phase Processing in MANET." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31869-6_39.

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Kojima, Kaname, Naoki Nariai, Takahiro Mimori, et al. "HapMonster: A Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-Informative Reads." In Algorithms for Computational Biology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07953-0_9.

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Baumeister, Tom, Paul Eichler, Swen Jacobs, Mouhammad Sakr, and Marcus Völp. "Parameterized Verification of Round-Based Distributed Algorithms via Extended Threshold Automata." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71162-6_33.

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AbstractThreshold automata are a computational model that has proven to be versatile in modeling threshold-based distributed algorithms and enabling their completely automatic parameterized verification. We present novel techniques for the verification of threshold automata, based on well-structured transition systems, that allow us to extend the expressiveness of both the computational model and the specifications that can be verified. In particular, we extend the model to allow decrements and resets of shared variables, possibly on cycles, and the specifications to general coverability. While these extensions of the model in general lead to undecidability, our algorithms provide a semi-decision procedure. We demonstrate the benefit of our extensions by showing that we can model complex round-based algorithms such as the phase king consensus algorithm and the Red Belly Blockchain protocol (published in 2019), and verify them fully automatically for the first time.
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Kapoor, Gaurav, Vikas Soni, and Jitendra Yadvendra. "Fast Walsh–Hadamard Transform-Based Artificial Intelligent Technique for Transmission Line Fault Detection and Faulty Phase Recognition." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1059-5_17.

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Wang, Jianrong, Haoran Sun, and Tianyi Xu. "Blockchain-Based Secure and Efficient Federated Learning with Three-phase Consensus and Unknown Device Selection." In Wireless Algorithms, Systems, and Applications. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19208-1_37.

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Scott, Jennifer, and Miroslav Tůma. "Sparse Matrix Ordering Algorithms." In Nečas Center Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25820-6_8.

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AbstractSo far, our focus has been on the theoretical and algorithmic principles involved in sparse Gaussian elimination-based factorizations. To limit the storage and the work involved in the computation of the factors and in their use during the solve phase it is generally necessary to reorder (permute) the matrix before the factorization commences. The complexity of the most critical steps in the factorization is highly dependent on the amount of fill-in, as can be seen from the following observation.
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Jiang, Jian-guo, Shang Jiang, Bo-bai Zhao, Si-ye Wang, Meng-nan Cai, and Yan-fang Zhang. "CS-Dict: Accurate Indoor Localization with CSI Selective Amplitude and Phase Based Regularized Dictionary Learning." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60239-0_46.

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Ouedrhiri, Oumayma, Oumayma Banouar, Salah El Hadaj, and Said Raghay. "A New Approach for Quantum Phase Estimation Based Algorithms for Machine Learning." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54376-0_13.

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Li, Shengqing, Haotian Feng, and Xi Deng. "Short-Term Wind Speed Prediction Based on Phase Space Reconstruction and Elman Network-Grey Wolf Optimization." In Smart Communications, Intelligent Algorithms and Interactive Methods. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5164-9_29.

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Conference papers on the topic "Phase-Based Algorithms"

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Li, Qing, and Qiming Ma. "Phase Ambiguity Resolution for Underwater Direction Finding Based on Minimum Norm." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11020170.

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Wang, Zheng, Hua Zhang, Jie Guo, Lihai Fan, Jinyu Chen, and Xia Chen. "Research and application of initial phase angle calibration technology for smart grids based on cloud platform." In International Conference on Algorithms, High Performance Computing and Artificial Intelligence, edited by Pavel Loskot and Liang Hu. SPIE, 2024. http://dx.doi.org/10.1117/12.3051454.

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Kumar, Siripurapu Pavan Dinesh, Bhagwan K. Murthy, and Aratipamula Bhanuchandar. "Implementation of Predictive Current Control Technique for a 1-Phase 5-Level Switched Capacitor-Based Grid-Connected Inverter." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721969.

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Li, Zhenhao, Xingyuan Xu, Honghui Lie, Na You, Yifeng Tang, and Bowei Jiang. "Low Voltage Substation Line Loss Analysis and Phase Identification Based on Big Data and Intelligent Algorithms." In 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2025. https://doi.org/10.1109/edpee65754.2025.00083.

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Stanescu, Sorin Laurentiu, and Omonigho Benedict Otanocha. "Phase-based neuron training using evolutionary algorithms." In 2014 International Symposium on Fundamentals of Electrical Engineering (ISFEE). IEEE, 2014. http://dx.doi.org/10.1109/isfee.2014.7050633.

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Langer, M., P. Cloetens, J. P. Guigay, S. Valton, and F. Peyrin. "QUANTITATIVE EVALUATION OF PHASE RETRIEVAL ALGORITHMS IN PROPAGATION BASED PHASE TOMOGRAPHY." In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2007. http://dx.doi.org/10.1109/isbi.2007.356911.

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Gómez-Pedrero, José A., D. Crespo, and Juan A. Quiroga. "Fourier-based design of asynchronous phase detection algorithms." In Optical Metrology, edited by Wolfgang Osten, Christophe Gorecki, and Erik L. Novak. SPIE, 2007. http://dx.doi.org/10.1117/12.725668.

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Vogel, Curtis R., Tony F. Chan, and Robert J. Plemmons. "Fast algorithms for phase-diversity-based blind deconvolution." In Astronomical Telescopes & Instrumentation, edited by Domenico Bonaccini and Robert K. Tyson. SPIE, 1998. http://dx.doi.org/10.1117/12.321720.

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Mahamdi, Célia, Jonathan Lejeune, Julien Sopena, Pierre Sens, and Mesaac Makpangou. "OMAHA: Opportunistic Message Aggregation for pHase-based Algorithms." In 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC). IEEE, 2023. http://dx.doi.org/10.1109/prdc59308.2023.00027.

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Ouedrhiri, Oumayma, Oumayma Banouar, Salah El Hadaj, and Said Raghay. "Quantum phase estimation based algorithms for machine learning." In 2021 2nd International Informatics and Software Engineering Conference (IISEC). IEEE, 2021. http://dx.doi.org/10.1109/iisec54230.2021.9672406.

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Reports on the topic "Phase-Based Algorithms"

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Cordeiro de Amorim, Renato. A survey on feature weighting based K-Means algorithms. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i2.79.

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In a real-world data set there is always the possibility, rather high in our opinion, that different features may have different degrees of relevance. Most machine learning algorithms deal with this fact by either selecting or deselecting features in the data preprocessing phase. However, we maintain that even among relevant features there may be different degrees of relevance, and this should be taken into account during the clustering process. With over 50 years of history, K-Means is arguably the most popular partitional clustering algorithm there is. The first K-Means based clustering algo
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Borkman, Steve, Marlo Verdesca, and Jon Watkins. Algorithms for Ground Soldier Based Simulations and Decision Support Applications. Phase 1. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada560713.

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Pasupuleti, Murali Krishna. Phase Transitions in High-Dimensional Learning: Understanding the Scaling Limits of Efficient Algorithms. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1125.

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Abstract: High-dimensional learning models exhibit phase transitions, where small changes in model complexity, data size, or optimization dynamics lead to abrupt shifts in generalization, efficiency, and computational feasibility. Understanding these transitions is crucial for scaling modern machine learning algorithms and identifying critical thresholds in optimization and generalization performance. This research explores the role of high-dimensional probability, random matrix theory, and statistical physics in analyzing phase transitions in neural networks, kernel methods, and convex vs. no
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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l
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Blundell, S. User guide : the DEM Breakline and Differencing Analysis Tool—gridded elevation model analysis with a convenient graphical user interface. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45040.

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Gridded elevation models of the earth’s surface derived from airborne lidar data or other sources can provide qualitative and quantitative information about the terrain and its surface features through analysis of the local spatial variation in elevation. The DEM Breakline and Differencing Analysis Tool was developed to extract and display micro-terrain features and vegetative cover based on the numerical modeling of elevation discontinuities or breaklines (breaks-in-slope), slope, terrain ruggedness, local surface optima, and the local elevation difference between first surface and bare earth
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Desa, Hazry, and Muhammad Azizi Azizan. OPTIMIZING STOCKPILE MANAGEMENT THROUGH DRONE MAPPING FOR VOLUMETRIC CALCULATION. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.004.

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Stockpile volumetric calculation is an important aspect in many industries, including construction, mining, and agriculture. Accurate calculation of stockpile volumes is essential for efficient inventory management, logistics planning, and quality control. Traditionally, stockpile volumetric calculation is done using ground-based survey methods, which can be time-consuming, labour-intensive, and often inaccurate. However, with the recent advancements in drone technology, it has become possible to use drones for stockpile volumetric calculation, providing a faster, safer, and more accurate solu
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Kanagavel, Rameshkumar, and Indragandhi Vairavasundaram. FPGA Implementation and Investigation of Hybrid Artificial Bee Colony Algorithm-based Single Phase Shunt Active Filter. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.05.13.

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Puestow. L52194 Detection of Third Party Encroachment Using Satellite Based Remote Sensing Technologies. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0011045.

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Building on past experience, it was the objective of this investigation to automate the satellite-based detection of encroachment events, to improve target detection and reduce false alarms using radar and optical imagery and to investigate the integration of one-call services into the process flow. Algorithm development for target detection using optical imagery was carried out with the intention to facilitate the future integration of unmanned airborne vehicle (UAV) technology into the process. The capacity of the multitemporal algorithm was extended to enable the detection of area changes i
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Morkun, Vladimir S., Natalia V. Morkun, and Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3757.

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For programming the AR tools, interactive objects and creating the markers, the method of fiber spaces (k-space) for modeling of ultrasonic wave propagation in an inhomogeneous medium using coarse grids, with maintaining the required accuracy was used. The algorithm and tools of augmented reality were introduced into the adaptive control system of the pulp gas phase in the iron ore flotation process using a control action on the basis of high-energy ultrasound dynamic effects generated by ultrasonic phased arrays. The tools of augmented reality based on k-space methods allow to facilitate wide
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Radvand, Tina, and Alireza Talebpour. A Quantum Optimization Algorithm for Optimal Electric Vehicle Charging Station Placement for Intercity Trips. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-028.

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Electric vehicles (EVs) play a significant role in enhancing the sustainability of transportation systems. However, their widespread adoption is hindered by inadequate public charging infrastructure, particularly to support long-distance travel. Identifying optimal charging station locations in large transportation networks presents a well-known NP-hard combinatorial optimization problem, as the search space grows exponentially with the number of potential charging station locations. This report introduces a quantum search-based optimization algorithm designed to enhance the efficiency of solv
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