-
141
-
142
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
منشور في 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. …"
-
143
Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme
منشور في 2021"…System responses have been critically analyzed under Mine Blast Algorithm (MBA) based proportional–integral–derivative (PID) controllers</p><h2>Other Information</h2><p dir="ltr">Published in: Energy Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.egyr.2021.10.100" target="_blank">https://dx.doi.org/10.1016/j.egyr.2021.10.100</a></p>…"
-
144
Multidimensional Gains for Stochastic Approximation
منشور في 2019"…This paper deals with iterative Jacobian-based recursion technique for the root-finding problem of the vector-valued function, whose evaluations are contaminated by noise. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
145
Power system output feedback stabilizer design via geneticalgorithms
منشور في 1997"…In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
article -
146
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
منشور في 2024"…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"
-
147
Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms
منشور في 1995"…This mathematical connection provides a theoretical framework for the analysis of the dynamical properties long known and exploited in interior point-based optimization techniques. In addition, this connection is used to show that the logarithmic barrier function is indeed, in some sense, optimum…"
احصل على النص الكامل
احصل على النص الكامل
article -
148
Simultaneous stabilisation of power systems using geneticalgorithms
منشور في 1997"…The problem of selecting the parameters of a power system stabiliser which simultaneously stabilises this set of plants is converted to a simple optimisation problem which is solved by a genetic algorithm and an eigenvalue-based objective function. …"
احصل على النص الكامل
احصل على النص الكامل
article -
149
The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability
منشور في 2003"…A number of enumeration-based techniques were proposed to solve this problem. …"
احصل على النص الكامل
article -
150
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
منشور في 2020"…In this paper we employ two iterative heuristics for the optimization of VLSI Netlist Bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) [sadiq et al., 1999] respectively. …"
احصل على النص الكامل
article -
151
Iterative heuristics for multiobjective VLSI standard cellplacement
منشور في 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. …"
احصل على النص الكامل
احصل على النص الكامل
article -
152
Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle
منشور في 2025"…A tailored multi-term reward function is structured to penalize excessive yaw rate error, sideslip angle, tire slip deviations beyond peak grip regions, and power losses based on a realistic electric machine efficiency map. …"
-
153
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
منشور في 2019"…We demonstrate the favourable characteristics of the proposed algorithms via extensive simulation results and analysis as a function of various system parameters, with benchmarking against two greedy algorithms based on distance and deadline metrics.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
154
General iterative heuristics for VLSI multiobjective partitioning
منشور في 2003"…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …"
احصل على النص الكامل
احصل على النص الكامل
article -
155
Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks
منشور في 2018"…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
156
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
منشور في 2020احصل على النص الكامل
doctoralThesis -
157
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
منشور في 2009احصل على النص الكامل
doctoralThesis -
158
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
منشور في 2021احصل على النص الكامل
doctoralThesis -
159
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
منشور في 2022"…</p> <h2>Conclusion</h2> <p> Genetic algorithms can be used along with finite element analysis and zigzag cutouts to tune the band gap of plates subjected to base-excitations. …"
-
160
Large language models for code completion: A systematic literature review
منشور في 2024"…This is achieved by predicting subsequent tokens, such as keywords, variable names, types, function names, operators, and more. Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …"