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Recent papers on computational efficiency cost trade reduction

Sorted by publication year (newest first) via OpenAlex. List regenerates every 24h.

Optimizing the Trade-Off between Power Efficiency and Computational Cost in Index Modulation for Noncoherent Reception
2026 · Apalina, Polina V., Sergienko, Alexander B.
2026
Evaluation of the computational efficiency of a low-cost method for calculating the two-dimensional spatial Bartlett spectrum
2026 · Journal of Radio Electronics · Soganov, P.I., Stepanov, M.A.
2026
A review of multi-scale modeling strategies for metal additive manufacturing with emphasis on computational cost and time efficiency
2026 · Journal of Materials Research and Technology · Soares, Lucas de Figueiredo, Abreu, Iago Rodrigues de, Coelho, Rodrigo Santiago
2026
Machine Learning-Based Models of Industrial Predictive Emissions Monitoring Systems: Framework of Accuracy and Computational Efficiency Trade-Offs With Life Cycle Cost Analysis
2026 · IEEE Access · Winarto, Rudy, Anggraeni, Wiwik, Purnomo, Mauridhi Hery
2026
Statistical Equivalence and Computational Efficiency of Cost-Sensitive Learning vs.Resampling for Imbalanced Classification
2026 · SSRN Electronic Journal · Utsho, Someyo kamal, Samsudin, Ruhaidah
2026
RHEA UCM Entropy Cost and Thermodynamic Efficiency: Toward Reversible Symbolic Computation
2025 · Zenodo (CERN European Organization for Nuclear Research) · Paul, Roe,
2025
Comparison of computational cost and training efficiency among different models under identical hardware (NVIDIA RTX 4090, 24 GB VRAM). The proposed method requires slightly higher training time due to the dual-window and texture-fusion modules.
2025 · Figshare · (220386), Ping Xia, (507257), Yilin Li, (130614), Xin Yao et al.
2025
Design Optimization of Seismic Reinforced 3D Concrete Frame Structures: A Computational Framework for Cost Efficiency Using the Hybrid PSOGWO Algorithm
2025 · Iranian Journal of Science and Technology Transactions of Civil Engineering · Djedoui, Nassim, Djafar‐Henni, Nesreddine, Bekdaş, Gebrai̇l et al.
2025
Comparison of Time Efficiency, Cost, and Computational Complexity.
2025 · Figshare · (1429501), Zhiqun Lin, (10700285), Kexin Feng
2025
RESOLUTION, COMPUTATIONAL EFFICIENCY, AND COST ANALYSIS OF BACKPROPAGATION AND HOLOGRAPHIC ALGORITHMS FOR CONCEALED OBJECT DETECTION THROUGH VARIOUS MATERIALS USING MONOSTATIC MICROWAVE IMAGING
2025 · Olatujoye, Babatunde, Yang, Binbin
2025
Does Spending on Urban Air Quality Improvement Lead to Cost Efficiency and Health Benefits? A Computational Meta-Analysis Approach
2025 · Mahdi, Sanaa Saud, Dalhoum, Abdel Latif Abu, Al-Rawi, Mohammed
2025
Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Device Failures
2025 · Smart Cities · Darabkh, Khalid A., Al-Akhras, Muna
2025
A novel linear programming-based predictive control method for building battery operations with reduced cost and enhanced computational efficiency
2024 · Renewable Energy · Fan, Cheng, Lu, Ming-Shan, Sun, Yongjun et al.
2024
An Enabling Architecture for Computational Cost Efficiency in Predictive Maintenance Digital Twins
2024 · Abdullahi, Ibrahim, Longo, Stefano, Samie, Mohammad
2024
Optimising the computational and cost efficiency of hierarchical federated edge learning
2024 · wang, chen
2024
Journal Vol – 19 No -1, January 2024 Journal > Journal > Journal Vol – 19 No -1, January 2024 RELIABILITY OPTIMIZATION OF A DEGRADED SYSTEM UNDER PREVENTIVE MAINTENANCE USING GENETIC ALGORITHM Authors: Shakuntla Singla, Diksha Mangla, Poonam Panwar, S Z Taj DOI NO: https://doi.org/10.26782/jmcms.2024.01.00001 admin January 20, 2024 Abstract: The reliability parameters of a Mathematical model are analyzed for a system with three identical units and a standby. In this study, the primary unit is considered more important due to its high cost and working in two types of degraded conditions before a complete malfunction. Under the concept of preventive maintenance, the states of deterioration are reversed. The working of the system under two different efficiencies is discussed. The reliability of the Mathematical model, depending on the availability and working time, has been optimized using the Mathematical tool “Genetic Algorithm”. The optimum values of all parameters based on the exponential distribution are considered to optimize the reliability, and thus provide maximum benefits to the industry. Sensitivity analysis of the availability and the working time is carried out to understand the effects of changing parameters. Graphical and tabular analyses are presented to discuss the results and to draw conclusions about the system’s behavior. Keywords: deteriorated state,genetic algorithm,malfunction rate,preventive maintenance,regenerative point graphical technique,sensitivity analysis, Refference: I. Bhunia, A.K. and Sahoo, L. (2011). Genetic algorithm based reliability optimization in interval environment. In: Nedjah, N., dos Santos Coelho, L., Mariani, V.C., de Macedo Mourelle, L. (eds) Innovative Computing Methods and Their Applications to Engineering Problems. Studies in Computational Intelligence, 357. Springer, Berlin, Heidelberg. II. Kumar, J., Bansal, S.A., Mehta, M. and Singh, H. (2020). Reliability analysis in process industries – an overview. GIS Sci J., 7(5), 151-168. III. Kumari, K. and Poonia, M.S. (2023). Availability optimization of cylinder block in cast iron manufacturing plant using GA. European Chemical Bulletin, 12(4), 17784-17792. IV. Kumari, S., Khurana, P. and Singla, S. (2022). Behaviour and profit analysis of a thresher plant under steady state. International Journal of System Assurance Engineering and Management, 13, 166-171. V. Kumari, S., Singla, S. and Khurana, P. (2022). Particle swarm optimization for constrained cost reliability of rubber plant. Life Cycle Reliability and Safety Engineering, 11(3), 273-277. VI. Malik, S., Verma, S., Gupta, A., Sharma, G. and Singla, S. (2022). Performability evaluation, validation and optimization for the steam generation system of a coal-fired thermal power plant. MethodsX, 9. VII. Naithani, A., Khanduri, S. and Gupta, S. (2022). Stochastic analysis of main unit with two non-identical replaceable sub-units working with partial failure. International Journal of System Assurance Engineering and Management, 13, 1467-1473. VIII. Naithani, A., Parashar, B., Bhatia, P.K. and Taneja G. (2013). Cost benefit analysis of a 2-out-of-3 induced draft fans system with priority for operation to cold standby over working at reduced capacity. Advanced Modelling and Optimization, 15(2), 499-509. IX. Sachdeva, K., Taneja, G, and Manocha, A. (2022). Sensitivity and economic analysis of an insured system with extended conditional warranty. Reliability: Theory and Applications, 17, 24–31. X. Singla, S. and Dhawan, P. (2022). Mathematical analysis of regenerative point graphical technique (RPGT). Mathematical Analysis and its Contemporary Applications, 4(4), 49-56. XI. Taj, S. Z. and Rizwan, S. M. (2022). Reliability analysis of a 3-unit parallel system with single maintenance facility. Advanced Mathematical Models & Applications, 7(1), 93-103. View Download Journal Vol – 19 No -1, January 2024 CONSTRUCTION OF A SPLINE FUNCTION WITH MIXED NODE VALUES
2024 · JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES · Mishra, Rama Nand
2024
Leveraging big data analytics for enhanced healthcare insurance: A new computational approach to efficiency and cost reduction
2022 · World Journal of Advanced Research and Reviews · Srinivasagopalan, Lakshmi Narasimhan
2022
Simple Tuning and Low-Computational-Cost Controller for Enhancing Energy Efficiency of Autonomous-Driving Electric Vehicles
2020 · IEEJ Journal of Industry Applications · Hattori, Mitsuhiro, Fujimoto, Hiroshi, Hori, Yoichi et al.
2020
Computation of covalent and noncovalent structural parameters at low computational cost: Efficiency of the <scp>DH‐SVPD</scp> method
2020 · International Journal of Quantum Chemistry · Tirri, Bernardino, Ciofini, Ilaria, Sancho-Garcı́a, J. C. et al.
2020
Compression Efficiency and Computational Cost Comparison between AV1 and HEVC Encoders
2019 · Bender, Isis, Palomino, Daniel, Agostini, Luciano et al.
2019
Encoding Efficiency and Computational Cost Assessment of State-Of-The-Art Point Cloud Codecs
2019 · Gonçalves, Mateus, Agostini, Luciano, Palomino, Daniel et al.
2019
Design of water distribution systems using an intelligent simple benchmarking algorithm with respect to cost optimization and computational efficiency
2019 · Water Science & Technology Water Supply · Shende, Sachin, Chau, Kwok‐wing
2019
Low-Cost and Accurate Computational System for Efficiency Measures over Photovoltaic Arrays
2019 · Advances in Science Technology and Engineering Systems Journal · Nunez-Ramırez, Hector L., Carvalho-Kassar, Gloria G., Brito-Maestre, Freddy C. et al.
2019
Computational Design Method Based on Multidisciplinary Design Optimization and Optioneering Techniques for Energy Efficiency and Cost Effectiveness
2018 · Garcia, Alvaro Rodriguez
2018
Modelling human activity through structural vibrations with alternate computational devices to increase cost efficiency
2017 · Scholar Commons (University of South Carolina) · Patterson, E.A.
2017
Study on the efficiency in the numerical integration of size-structured population models: Error and computational cost
2015 · Journal of Computational and Applied Mathematics · Angulo, O., López-Marcos, J.C., López-Marcos, M.A.
2015
The perpetual growth model and the cost of computational efficiency
2014 · Financial Services Review · Heck, Jean L., Danielson, Morris G.
2014
Low-cost, high-performance and efficiency computational photometer design
2014 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · Siewert, Sam, Shihadeh, Jeries, Myers, R. A. et al.
2014
The Perpetual Growth Model and the Cost of Computational Efficiency: Rounding Errors or Wild Distortions?
2014 · SSRN Electronic Journal · Danielson, Morris G., Heck, Jean L.
2014