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61
Iterative heuristics for multiobjective VLSI standard cellplacement
Published 2001“…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …”
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62
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
Published 2020“…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) [sadiq et al., 1999] respectively. …”
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63
Direct sensitivity analysis of nonlinear distortion in RF circuits using multidimensional moments
Published 2014“…It allows the designer to perform vital tasks such as circuit optimization and design space exploration. Recently, an efficient moments-based approach was presented for computing key distortion figures of merit in radio frequency circuits from the harmonic balance equations, without the need to perform a harmonic balance simulation. …”
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64
Scheduling and allocation in high-level synthesis using stochastic techniques
Published 2020“…Scheduling and allocation can be formulated as an optimization problem. In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …”
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65
On the complexity of bilinear computations
Published 1984“…We will also consider special classes of three bilinear forms, and efficient algorithms will be developed, which are optimal in most cases.…”
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66
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
Published 2020Get full text
doctoralThesis -
67
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
Published 2017Get full text
doctoralThesis -
68
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
Published 2025“…The second strategy builds on this framework by additionally incorporating bidirectional gated recurrent units (Bi-GRU) alongside TCN and MHA layers, further refining sequence modeling and enhancing noise reduction. The optimal model configuration, using TCN-MHA-Bi-GRU with a kernel size of 16, achieved a compact model size of 788K parameters and recorded training, and validation losses of 0.0350 and 0.0446, respectively. …”
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69
Artificial intelligence-based methods for fusion of electronic health records and imaging data
Published 2022“…Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalized healthcare. The most important question when using multimodal data is how to fuse them—a field of growing interest among researchers. …”
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70
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
Published 2022“…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …”
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71
Evaluating Parallel Simulated Evolution Strategies for VLSI Cell Placement
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72
A fine-grained XML structural comparison approach
Published 2007“…A prototype has been developed to evaluate the optimality and performance of our method. Experimental results, on both real and synthetic XML data, demonstrate better performance with respect to alternative XML comparison methods.…”
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conferenceObject -
73
Scatter search technique for exam timetabling
Published 2011“…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…”
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74
An XML Document Comparison Framework
Published 2001“…A prototype has been developed to evaluate the optimality and performance of our method. Results demonstrate higher comparison accuracy with respect to alternative XML comparison methods, while timing experiments reflect the significant impact of semantic similarity assessment on overall system performance.…”
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