Gotowe bibliografie tematyczne / Weight comparison algorithm

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Gotowa bibliografia na temat „Weight comparison algorithm”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Weight comparison algorithm"

Evans, Richard, Jennifer Burns, Laura Damschroder, et al. "Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms." JMIR Medical Informatics 10, no. 3 (2022): e30328. http://dx.doi.org/10.2196/30328.

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Background Patient body weight is a frequently used measure in biomedical studies, yet there are no standard methods for processing and cleaning weight data. Conflicting documentation on constructing body weight measurements presents challenges for research and program evaluation. Objective In this study, we aim to describe and compare methods for extracting and cleaning weight data from electronic health record databases to develop guidelines for standardized approaches that promote reproducibility. Methods We conducted a systematic review of studies published from 2008 to 2018 that used Vete

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Sarvade, Akanksha. "Analysis between Prims and Kruskal’s Algorithm." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 2464–67. https://doi.org/10.22214/ijraset.2024.65593.

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The project is an analytical comparison between two algorithms that is Prim’s algorithm and Kruskal’s algorithm in MST (minimum spanning tree). Both the algorithms aim to connect all the vertices based on their weight but differ in implementation and approach. Prim’s algorithm is Greedy algorithm which makes the minimum spanning tree according to their incremental weight It starts with one vertex and expands its MST, it always selects smallest edge in MST. Kruskal’s algorithm is also greedy algorithm but its approaches differently. It starts with all the vertices and no edge and it adds edge w

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Austrow, J. C. "An Optimum Balance Weight Search Algorithm." Journal of Engineering for Gas Turbines and Power 116, no. 3 (1994): 678–81. http://dx.doi.org/10.1115/1.2906873.

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A mathematical description for an optimum balance weight search algorithm for single-plane multipoint balance is presented. The algorithm uses influence coefficients, either measured or known beforehand, and measured complex vibration data to determine an optimum balance correction weight. The solution minimizes the maximum residual vibration. The algorithm allows user-defined balance weights to be analyzed and evaluated. A test case is presented showing actual results and comparison with a least-squares solution algorithm. An efficient multiplane influence coefficient calculation scheme is al

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Zhang, Rener. "The comparison of three MST algorithms." Applied and Computational Engineering 17, no. 1 (2023): 191–97. http://dx.doi.org/10.54254/2755-2721/17/20230939.

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The minimum spanning tree, connecting all the nodes of a connected, weighted graph with the minimum possible total edge weight, is a fundamental concept of graph theory. Thus, how to find the minimum spanning tree (MST) with higher efficiency appears to be crucial. Three kinds of algorithms for this problem have already been developed: Kruskal, Prim, Boruvka. In order to make readers have a better understanding of the three algorithms in the process of studying and teaching, this paper uses the method of comparing to indicate the differences and commonalities between these three algorithms, dr

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Lee, Seungjae, Junhong Ha, Sudeok Shon, and Donwoo Lee. "Weight Optimization of Discrete Truss Structures Using Quantum-Based HS Algorithm." Buildings 13, no. 9 (2023): 2132. http://dx.doi.org/10.3390/buildings13092132.

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Recently, a new field that combines metaheuristic algorithms and quantum computing has been created and is being applied to optimization problems in various fields. However, the application of quantum computing-based metaheuristic algorithms to the optimization of structural engineering is insufficient. Therefore, in this paper, we tried to optimize the weight of the truss structure using the QbHS (quantum-based harmony search) algorithm, which combines quantum computing and conventional HS (harmony search) algorithms. First, the convergence performance according to the parameter change of the

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Baş, Emine, and Lütfi Batuhan Güner. "Weight Optimization of Oil Type Transformer with Crayfish Optimization Algorithm." Sinop Üniversitesi Fen Bilimleri Dergisi 10, no. 1 (2025): 1–28. https://doi.org/10.33484/sinopfbd.1511204.

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Transformers used in the transmission and distribution of electricity are electrical machines that ensure the transmission of electricity at constant power and frequency by using magnetic field strength. In this study, weight optimization of oil-type power and distribution-type transformers in different power levels (50kVA and 100kVA) was calculated using the Crayfish Optimization Algorithm (COA). The purpose of the study is to perform weight optimization and calculate weight reduction. The variable parameters used as current density value (s) and iron section suitability value (C) were determ

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Yu, Guolong, Yong Zhao, Zhongwei Cui, and Zuo Yu. "A QPSO algorithm based on hierarchical weight and its application in cloud computing task scheduling." Computer Science and Information Systems, no. 00 (2020): 33. http://dx.doi.org/10.2298/csis200223033y.

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The computing method of the average optimal position is one of the most important factors that affect the optimization performance of the QPSO algorithm. Therefore, a particle position weight computing method based on particle fitness value grading is proposed, which is called HWQPSO (hierarchical weight QPSO). In this method, the higher the fitness value of a particle, the higher the level of the particle, and the greater the weight. Particles at different levels have different weights, while particles at the same level have the same weight. Through this method, the excellent particles have h

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Memarian, Taher, and Yaser Shahbazi. "Integrated Metaheuristic Differential Evolution Optimization Algorithm and Pseudo Static Analysis of Concrete Gravity Dam." Civil Engineering Journal 3, no. 8 (2017): 617–25. http://dx.doi.org/10.28991/cej-2017-00000116.

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A differential evolution-algorithm-based optimum design method is presented for concrete gravity dams under stability, principal stress, and sliding constraints. A gravity dam is a large scale hydraulic structure providing its stability based on weight of concrete volume. Hence, optimization of dam cross-section leads to an economic and low cost structure. For this aim, a general dam section is reconstructed with seven proper horizontal and vertical geometric parameters which take into account all possible cross section shapes. Weight of dam is considered as goal function and the optimization

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Gonzalez, Luciano A., Jillian E. M. Burgess, and Milad Bagheri Shirvan. "267 Comparison of methods to process remotely collected body weight in feedlot steers." Journal of Animal Science 102, Supplement_3 (2024): 92. http://dx.doi.org/10.1093/jas/skae234.105.

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Abstract New technologies such as automatic in-pen weighing of cattle offer great opportunities to monitor, improve and control livestock production. The large amount of raw BW data recorded must be processed to estimate BW minimizing the impact of erroneous records and the large variability due to various factors such as fill of the gastrointestinal tract. The objective of the present study was to compare two data processing methods of remotely collected body weight (BW) in feedlot steers against traditional weighing measured in central handling facilities. The BW data were collected from a s

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Bhowmik, B., and Chowdhury S. Nag. "Prograph Based Analysis of Single Source Shortest Path Problem with Few Distinct Positive Lengths." Engineering, Technology & Applied Science Research 1, no. 4 (2011): 90–97. https://doi.org/10.5281/zenodo.14029.

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In this paper we propose an experimental study model S3P2 of a fast fully dynamic programming algorithm design technique in finite directed graphs with few distinct nonnegative real edge weights. The Bellman-Ford’s approach for shortest path problems has come out in various implementations. In this paper the approach once again is re-investigated with adjacency matrix selection in associate least running time. The model tests proposed algorithm against arbitrarily but positive valued weighted digraphs introducing notion of  Prograph that speeds up finding the shortest path over prev

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Rozprawy doktorskie na temat "Weight comparison algorithm"

Nilsson, Max. "Performance Comparison of Localization Algorithms for UWB Measurements with Closely Spaced Anchors." Thesis, Luleå tekniska universitet, Rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70996.

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Tracking objects or people in an indoor environment has a wide variety of uses in many different areas, similarly to positioning systems outdoors. Indoor positioning systems operate in a very different environment however, having to deal with obstructions while also having high accuracy. A common solution for indoor positioning systems is to have three or more stationary anchor antennas spread out around the perimeter of the area that is to be monitored. The position of a tag antenna moving in range of the anchors can then be found using trilateration. One downside of such a setup is that the

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Wu, Jerry Chun-Teh, and 吳俊德. "A Comparison Study between Weighted and Fuzzy Algorithm on Organizational Performance Assessment." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/e63tax.

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博士 國立中山大學 企業管理學系研究所 96 Nowadays, the administration environment is changing rapidly. Since International Institute for Management Development（IMD）selects “government efficiency” and “business efficiency” as the major factors and criteria to compute the rankings of world competitiveness in the World Competitiveness Yearbook. Both governments and enterprises force to innovate and need to strengthen organizational performance to promote work efficiency, and to improve the strategic management system. This research applies the organizational performance theme in public institutions as

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Chiu, Chang Yu, and 邱昶羽. "Analysis and Comparison of Weighted Combinatorial Algorithms for Test Suite Reduction." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/83683943756115333109.

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碩士 國立清華大學 資訊工程學系 104 Using software has become a very important part of our daily life. Therefore, strict and rigorous development of software is necessary for developers. Software testing should be conducted carefully in the development process for minimal errors and ease of product usability. With the continuous functionality updating of software systems according to customized requirements, new test cases have been generated and included in the existing test pool. Finally, the size of test pool has often been too large, which costs large amounts of time to produce inefficient re

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Części książek na temat "Weight comparison algorithm"

Rowley, C., A. Gonzalez, E. Obrien, and A. Žnidarič. "Comparison of conventional and regularized bridge weigh-in-motion algorithms." In International Conference on Heavy Vehicles HVParis 2008. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118623305.ch21.

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Chalupa, Marek, Tomáš Jašek, Jakub Novák, Anna Řechtáčková, Veronika Šoková, and Jan Strejček. "Symbiotic 8: Beyond Symbolic Execution." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_31.

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AbstractSymbiotic 8 extends the traditional combination of static analyses, instrumentation, program slicing, and symbolic execution with one substantial novelty, namely a technique mixing symbolic execution with k-induction. This technique can prove the correctness of programs with possibly unbounded loops, which cannot be done by classic symbolic execution.Symbiotic 8 delivers also several other improvements. In particular, we have modified our fork of the symbolic executorKleeto support the comparison of symbolic pointers. Further, we have tuned the shape analysis toolPredator(integrated al

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Brás, Raul, and J. Orestes Cerdeira. "Computational Comparison of Algorithms for a Generalization of the Node-Weighted Steiner Tree and Forest Problems." In Operational Research. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20328-7_5.

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Moradi, Zeynab, and Ali Reza Mikaeili Tabrizi. "A Study of the Comparison between Artificial Neural Networks, Logistic Regression and Similarity Weighted Instance-based Learning in Modeling and Predicting Trends in Deforestation." In Neuromorphic Computing [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.111615.

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The change in forest cover plays a vital role in ecosystem services, atmospheric carbon balance, and, thus, climate change. In this study, land use maps for the periods 1984 and 2012, derived from Landsat TM satellite imagery, were used. The goal of this study is comparison of three procedures of artificial neural network, logistic regression, and similarity weighted instance-based learning (SIM Weight) to predict spatial trend of forest cover change. The SimWeight considers the nearest instances in the variable space, which are computed based on past changes and the relative importance of the

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Lin, Lin, and Mei-Ling Shyu. "Weighted Association Rule Mining for Video Semantic Detection." In Methods and Innovations for Multimedia Database Content Management. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1791-9.ch002.

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Semantic knowledge detection of multimedia content has become a very popular research topic in recent years. The association rule mining (ARM) technique has been shown to be an efficient and accurate approach for content-based multimedia retrieval and semantic concept detection in many applications. To further improve the performance of traditional association rule mining technique, a video semantic concept detection framework whose classifier is built upon a new weighted association rule mining (WARM) algorithm is proposed in this article. Our proposed WARM algorithm is able to capture the di

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Kurahashi Setsuya and Shirakawa Takahisa. "An Information Recommendation System Focusing on Social Bookmarking." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-105-2-841.

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This paper proposes an information recommendation system focusing on personal classification space based on bookmarks. This study handles the problem where the standard collaborative filtering method cannot offer recommendations with a better level of precision. This paper improves the collaborative filtering algorithm for users of social bookmark services. In this research, the classification-based method is proposed as the recommendation method, and Recall- DCG and Precision-DCG are proposed as evaluation scales. A user&rsquo;s bookmarks are placed on his/her own classifying space made o

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Jiang, Xiaorong. "Research on Deep Learning Methods to Multi-Agent Path Planning Under Digital Leadership." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde250250.

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Smart algorithms such as path planning are faced with challenges such as traffic congestion, dynamic environmental obstacles change, high computational complexity and multi-agent collaboration. To solve these problems, a method of multi-agent path planning and angle tracking strategy generation system is proposed, which integrates hybrid algorithm, dual-stream network, dynamic weight allocation and hierarchical learning, and cloud-edge collaborative training. The results show that under the full model configuration, the path success rate is as high as 98.73%, and the conflict rate is only 1.25

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Jiang Jehn-Ruey, Yahya Widhi, and Ananta Mahardeka Tri. "Load Balancing and Multicasting Using the Extended Dijkstra's Algorithm in Software Defined Networking." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-484-8-2123.

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The extended Dijkstra's algorithm considers not only the edge weights but also the node weights for finding shortest paths from a source node to all other nodes in a given graph. To show the advantage of the extended Dijkstra's algorithm, this paper proposes a load-balancing algorithm and a multicast algorithm in Software Defined Networking (SDN) on the basis of the extended Dijkstra's algorithm for a graph derived from the underlying SDN topology. We use Pyretic to implement the proposed algorithms and compare them with related ones under the Abilene network topology with the Mininet emulatio

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Patel, Ankitkumar R., and Jigneshkumar A. Chauhan. "Light-Weight Cryptography Technique for Secure Healthcare Wearable IoT Device Data." In Advances in Information Security, Privacy, and Ethics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5961-7.ch012.

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With billions of devices expected to be connected, the Internet of Things (IoT) is a technology with great potential. However, this increased connectivity also brings concerns about the security of the vast amounts of data generated. Traditional encryption methods, which require multiple rounds of encryption and are computationally expensive, may not be suitable for the smaller, low-powered devices used in IoT architecture. On the other hand, simpler approaches may not provide the necessary level of data integrity.To address these challenges, a new algorithm called LCTIoT has been proposed. Si

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Hazra, Joydev, Aditi Roy Chowdhury, and Paramartha Dutta. "Cluster Based Medical Image Registration Using Optimized Neural Network." In Medical Imaging. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch061.

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Registration of medical images like CT-MR, MR-MR etc. are challenging area for researchers. This chapter introduces a new cluster based registration technique with help of the supervised optimized neural network. Features are extracted from different cluster of an image obtained from clustering algorithms. To overcome the drawback regarding convergence rate of neural network, an optimized neural network is proposed in this chapter. The weights are optimized to increase the convergence rate as well as to avoid stuck in local minima. Different clustering algorithms are explored to minimize the c

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Streszczenia konferencji na temat "Weight comparison algorithm"

Rityen, Chokcharat, and Narongrit Pimkumwong. "Photovoltaic Battery Charger with Three Points Weight Comparison Algorithm Maximum Power Point Tracking." In 2024 International Conference on Materials and Energy: Energy in Electrical Engineering (ICOME-EE). IEEE, 2024. https://doi.org/10.1109/icome-ee64119.2024.10845691.

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Austrow, James C. "An Optimum Balance Weight Search Algorithm." In ASME 1993 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/93-gt-126.

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A mathematical description for an optimum balance weight search algorithm for single plane multipoint balance is presented. The algorithm uses influence coefficients, either measured or known beforehand, and measured complex vibration data to determine an optimum balance correction weight. The solution minimizes the maximum residual vibration. The algorithm allows user defined balance weights to be analyzed and evaluated. A test case is presented showing actual results and comparison with a least square solution algorithm. An efficient multiplane influence coefficient calculation scheme is als

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Sedak, Miloš, and Maja Rosić. "Optimization of single stage planetary gearbox parameters using genetic algorithm." In 11th International Scientific Conference on Defensive Technologies - OTEX 2024. Military Technical Institute, Belgrade, 2024. http://dx.doi.org/10.5937/oteh24027s.

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Planetary gearboxes are a mechanical devices consisting of multiple gears arranged in a circular configuration around a central sun gear. This layout enables an efficient gearbox with high torque in a compact design, thus making it well-suited for a wide range of industrial and military applications such as industrial motors, rotorcraft, vehicles, wind turbines, and more. However, when it comes to aircraft applications, weight and strength are essential considerations in the design process. Genetic algorithms are used to optimize the parameters of a single-stage planetary gearbox in order to a

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Lin, Yu-Hsien, Lin-Chin Huang, and Shao-Yu Chen. "The Development of MOPSO-Based Dynamic Routing Algorithm for the Inspection of Autonomous Underwater Vehicle." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61124.

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In this study, the authors developed the dynamic routing algorithm combining an image detection technique to support the optimal route plan of Autonomous Underwater Vehicle (AUV) inspecting an offshore wind farm affected by ocean currents. A modular structure is applied to program design by the graphical language, LabVIEW (Laboratory Virtual Instrument Engineering Workbench). The modular structure is composed of 6-DOF (Six Degrees-of-Freedom) motion module, a self-tuning fuzzy control module, a stereo-vision detection module, and a dynamic routing module. In terms of path planning for inspecti

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Han, Wutao, Linghong Tang, Gongnan Xie, and Qiuwang Wang. "Performance Comparison of Particle Swarm Optimization and Genetic Algorithm in Rolling Fin-Tube Heat Exchanger Optimization Design." In ASME 2008 Heat Transfer Summer Conference collocated with the Fluids Engineering, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/ht2008-56213.

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A method for optimization designs of rolling fin-tube heat exchangers was put forward with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), respectively. The length of tube bundles, the row numbers of tubes, the width of heat exchanger core and fin pitch were used as the optimization variables. The allowable pressure drop and heat exchange requirements were considered as restrictive conditions. According to specific design requirements, the volume, weight or pressure drop may be chosen as the optimization objective function. In the same design parameters, ranges of the search vari

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Li, Chengxi, Peng Cheng, and Chris Cheng. "A Comparison of Machine Learning Algorithms for Rate of Penetration Prediction for Directional Wells." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213321-ms.

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Abstract One of the biggest challenges facing oil and gas companies is to lower the cost of drilling operations. The most critical parameter affecting drilling cost is the rate of penetration (ROP). Improving the ROP and reducing the drilling cycle can be significant for companies to reduce drilling costs and risks, thus enhancing market competitiveness. In the present study, we evaluate the accuracy and effectiveness of different machine learning algorithms for directional wells. We collect many field drilling datasets such as bit type, bit drilling time, revolutions per minute (RPM), weight

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Liang, H. X., G. N. Xie, M. Zeng, Q. W. Wang, L. Q. Luo, and Z. P. Feng. "Genetic Algorithm Optimization for Primary Surfaces Recuperator of Microturbine." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90366.

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Recent years, Genetic Algorithm (GA) technique has been gotten much more attention in solving real-world problems, more successful genetic algorithms applications to engineering optimization have shown the technique has strong ability of global searching and optimizing based on various objectives for their optimal parameters. The technique may be applied to more complicated heat exchangers and is particularly useful for new types. It is important to optimize heat exchanger, for minimum volume/weight to save fabrication cost or for improved effectiveness to save energy consumption, under requir

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AbuKwaik, Mohammad, Yousef Sardahi, and Ahmad M. Alshorman. "Optimizing Control Systems: A Comparative Analysis of 77 Multi-Objective Evolutionary Algorithms." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-140634.

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Abstract Multi-objective optimization is integral to control systems, particularly in engineering, where multiple objectives must be concurrently satisfied. This study pioneers a comprehensive comparison of 77 evolutionary algorithms for optimizing a second-order system under a proportional-integral-derivative (PID) controller. We emphasize the challenges of balancing conflicting metrics like peak time and percentage overshoot and how PID controller tuning is crucial in achieving this balance. To assess the algorithms’ performance, we utilize four different performance metrics, which encompass

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Chen, Lei, Chang-qi Yan, and Jian-jun Wang. "Investigation on Multi-Objective Optimal Design of a Two Pass Condenser." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15397.

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Condenser is one of the key components in nuclear power plant with pressurized water reactor. It is important to control the dimension and weight in the design of condenser through optimization techniques. In this paper, a mathematic model of a two pass condenser is set up for Qinshan I condenser. Some modifications are made based on the original multi-objective algorithm, and the comparison between modified algorithm and the original one is conducted. Furthermore, the multi-objective optimization design of the condenser, taking minimization of the coolant flow-rate and net weight as objective

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Gu, Lei. "A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21063.

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Abstract Vehicle crash is a highly nonlinear event in terms of the structural and dummy responses. However, Linear and quadratic polynomials regression are still widely used in the design optimization and reliability based optimization of vehicle safety analysis. This paper investigates the polynomial based subset selection regression models for vehicle safety analysis. Three subset selection techniques: all possible subset with linear polynomial, stepwise with quadratic polynomial and sequential replacement with quadratic and cubic polynomials, are discussed. The methods have been applied to

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Raporty organizacyjne na temat "Weight comparison algorithm"

Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature

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Hart, Carl R., D. Keith Wilson, Chris L. Pettit, and Edward T. Nykaza. Machine-Learning of Long-Range Sound Propagation Through Simulated Atmospheric Turbulence. U.S. Army Engineer Research and Development Center, 2021. http://dx.doi.org/10.21079/11681/41182.

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Conventional numerical methods can capture the inherent variability of long-range outdoor sound propagation. However, computational memory and time requirements are high. In contrast, machine-learning models provide very fast predictions. This comes by learning from experimental observations or surrogate data. Yet, it is unknown what type of surrogate data is most suitable for machine-learning. This study used a Crank-Nicholson parabolic equation (CNPE) for generating the surrogate data. The CNPE input data were sampled by the Latin hypercube technique. Two separate datasets comprised 5000 sam

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