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121
An improved quorum selection algorithm (IQSA). (c2007)
منشور في 2007احصل على النص الكامل
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masterThesis -
122
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123
Data reductions and combinatorial bounds for improved approximation algorithms
منشور في 2016"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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article -
124
Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices
منشور في 2024"…Based on the performance metrics, such as confusion matrix, training time, prediction time, accuracy, and Area Under the Receiver Operating Characteristic curve (AUC-ROC), it was established that SDN-ML-IoT, when applied to RF, outperforms other ML algorithms, as well as similar approaches related to our work. …"
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125
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
منشور في 2022"…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"
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126
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127
Improving the security of SNMP in wireless networks
منشور في 2017"…Simple network management protocol (SNMP) is widely used for monitoring and managing computers and network devices on wired and wireless network. …"
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conferenceObject -
128
Parallel physical optimization algorithms for allocating data to multicomputer nodes
منشور في 1994"…They are based on simulated annealing, neural networks and genetic algorithms. …"
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article -
129
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …"
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masterThesis -
130
Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output
منشور في 2020"…For the calculation of optimum angles, a meta-heuristic based Genetic Algorithm (GA) technique is employed. …"
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131
Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology
منشور في 2010"…In our research, we evaluated the most famous security solutions and classifying them according to their efficiency against detecting or preventing the types of Address Resolution Protocol [ARP] Spoofing attacks. Based on the surprising experimental results done by a previous study in the security lab which proposed an optimal algorithm to enhance their ability against the two famous network attacks; we implemented the proposed algorithm by this study and stimulate the experiment in order to test the algorithm performance. …"
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132
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring
منشور في 2024"…TTR-GAN comprises cascaded dual-stage 1D Cycle Generative Adversarial Networks (1D-CycleGANs) constructed using Super-ONNs. …"
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133
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134
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
منشور في 2022"…The advantages, limitations, and use-cases for each algorithm are provided. We then conduct a comprehensive and in-depth literature review and classify existing related works based on both the radio resources they are addressing and the type of wireless networks they are investigating. …"
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135
Multi-marker-LD based genetic algorithm for tag SNP selection
منشور في 2014"…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …"
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article -
136
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
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137
Cross entropy error function in neural networks
منشور في 2002"…The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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conferenceObject -
138
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139
Uplink Noma in UAV-Assisted IoT Networks
منشور في 2022"…The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …"
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masterThesis -
140
Improved search-tree algorithms for the cluster edit problem. (c2011)
منشور في 2011احصل على النص الكامل
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masterThesis