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method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
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Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
Published 2022“…The thin plate and the zigzag cutouts are modelled using the finite element method, and the optimal location and optimal tip mass of the zigzag cutouts are obtained using genetic algorithms through iterative simulations. …”
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263
Design and Analysis of Lightweight Authentication Protocol for Securing IoD
Published 2021“…Its security has been verified formally using Random Oracle Model (ROM), ProVerif2.02 and informally using assumptions and pragmatic illustration. …”
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264
Dynamic single node failure recovery in distributed storage systems
Published 2017“…To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …”
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265
Modelling of pollutant transport in compound open channels
Published 1998“…Longitudinal and transverse mixing coefficients were calculated using the method of moments and by estimation using empirical relationships. …”
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masterThesis -
266
Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques
Published 2003“…We consider fault-tolerance to be an important network design aspect. We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …”
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267
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
Published 2023“…We then formulate the problem for UAV trajectory to minimize the maximum outage probability (OP) of directional THz links. Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …”
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ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
Published 2022“…Recently, cognitive network architectures using sophisticated learning techniques are increasingly being applied to such problems. …”
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269
DASSI: differential architecture search for splice identification from DNA sequences
Published 2022“…<h2>Background</h2> <p>The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …”
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On the complexity of various parameterizations of common induced subgraph isomorphism
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conferenceObject -
273
Industrial Internet of Things enabled technologies, challenges, and future directions
Published 2023“…This paper explores IIoT-enabled technologies and infrastructure, their role in global industrial growth, applications, challenges, and future directions. IIoT applications use the intelligence of things to solve industrial problems like supply chain mismanagement, data privacy risks, a weak cloud strategy, cost containment, and others. …”
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274
The multi-parameterized cluster editing problem
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conferenceObject -
275
Localizing-ground Transmitters Using Airborne Antenna Array
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doctoralThesis -
276
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277
Scatter search technique for exam timetabling
Published 2011“…These constraints are conflicting, which makes exam timetabling intractable. Hence, solving this problem in realistic time requires the use of heuristic approaches. …”
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278
Industrial Internet of Things enabled technologies, challenges, and future directions
Published 2023“…This paper explores IIoT-enabled technologies and infrastructure, their role in global industrial growth, applications, challenges, and future directions. IIoT applications use the intelligence of things to solve industrial problems like supply chain mismanagement, data privacy risks, a weak cloud strategy, cost containment, and others. …”
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279
Iterative Methods for the Solution of a Steady State Biofilter Model
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doctoralThesis