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81
Parallel tabu search in a heterogeneous environment
Published 2003“…We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. …”
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82
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
Published 2020“…Fuzzy rules are incorporated in order to design a multiobjective cost function. Both the techniques are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared.…”
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83
A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments
Published 2020“…The various steps of the SE approach are discussed in details. Goodness functions required by SE are designed and explained. …”
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84
General iterative heuristics for VLSI multiobjective partitioning
Published 2003“…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …”
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85
Machine Learning Model for a Sustainable Drilling Process
Published 2023Get full text
doctoralThesis -
86
A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007“…One of the contributions in attempting to maintain the proper functioning of internetworking is made by the Open Shortest Path First (OSPF) protocol. …”
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masterThesis -
87
Guidance, Control and Trajectory Tracking of Small Fixed Wing Unmanned Aerial Vehicles (UAV's)
Published 2009Get full text
doctoralThesis -
88
Software defect prediction. (c2019)
Published 2019“…If a system encompasses a defective module, correcting the resulting fault can cost much more than repairing the module before integration. …”
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masterThesis -
89
Automatic image quality evaluation in digital radiography using a modified version of the IAEA radiography phantom allowing multiple detection tasks
Published 2025“…</p><h3>Results</h3><p dir="ltr">The IQ‐metric values calculated using the modified IAEA phantom images can be radically different between raw and clinical images, and between different manufacturers, irrespectively whether only the standard or all the different Al‐target thicknesses are considered. The modulation transfer function (MTF) and the signal‐to‐noise‐ratio (SNR) dependence on exposure conditions and post‐processing algorithms do not always follow the same trends for raw and clinical images and/or different manufacturers, while the signal‐difference‐to‐noise‐ratio (SDNR) and the detectability index (d′), despite their differences, seem more appropriate to characterize IQ. …”
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90
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…Unlike MPC, IMPC offers a significantly reduced computational burden by omitting the iterative computations of the cost functions and states predictions. Nevertheless, both IMPC and MPC rely significantly on the dynamic model of the power converter. …”
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91
Platoon Transitional Maneuver Control System: A Review
Published 2021“…This paper also discusses different trajectory planning techniques used in lateral motion control and studies the most recent research related to trajectory planning for automated vehicles and summarizes them based on the used trajectory planning technique, platoon or/and lane change, the type of traffic, and the cost functions. Finally, this paper explores the open issues and directions for future research.…”
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92
LNCRI: Long Non-Coding RNA Identifier in Multiple Species
Published 2021“…However, the cost and time-consuming nature of transcriptomics verification techniques barred the research community from focusing on lncRNA identification. …”
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93
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Published 2024“…In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures from a hybrid beam forming model based on mmWave logics, as well as training logic for the network map functions. The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
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94
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
Published 2022“…The development of such technology is strongly depended upon tuning the surface properties of the applied electrocatalysts. Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts. …”
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Wiener-Hammerstein Model Identification-Recursive lgorithms
Published 2020“…These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. …”
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96