Search alternatives:
bayesian optimization » based optimization (Expand Search)
where optimization » whale optimization (Expand Search), phase optimization (Expand Search), other optimization (Expand Search)
sample bayesian » applied bayesian (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data where » data were (Expand Search), dataset where (Expand Search)
bayesian optimization » based optimization (Expand Search)
where optimization » whale optimization (Expand Search), phase optimization (Expand Search), other optimization (Expand Search)
sample bayesian » applied bayesian (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data where » data were (Expand Search), dataset where (Expand Search)
-
1
-
2
Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”
-
3
Comparisons between ADAM and NADAM optimizers.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”
-
4
Bayesian network for BMV_OD model.
Published 2024“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
-
5
-
6
Bayesian network for BMV_C1 model.
Published 2024“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
-
7
Bayesian network for BMV_C3 model.
Published 2024“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
-
8
Bayesian network for BMV_C2 model.
Published 2024“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”
-
9
Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization
Published 2025“…The performance of the proposed LEGAN-BEPO-BCMANET technique attains 29.786%, 19.25%, 22.93%, 27.21%, 31.02%, 26.91%, and 25.61% greater throughput, compared to existing methods like Blockchain-based BATMAN protocol utilizing MANET with an ensemble algorithm (BATMAN-MANET), Block chain-based trusted distributed routing scheme with optimized dropout ensemble extreme learning neural network in MANET (DEELNN-MANET), A secured trusted routing utilizing structure of a new directed acyclic graph-blockchain in MANET internet of things environment (DAG-MANET), An Optimized Link State Routing Protocol with Blockchain Framework for Efficient Video-Packet Transmission and Security over MANET (OLSRP-MANET), Auto-metric Graph Neural Network based Blockchain Technology for Protected Dynamic Optimum Routing in MANET (AGNN-MANET) and Data security-based routing in MANETs under key management process (DSR-MANET) respectively.…”
-
10
<i>hi</i>PRS algorithm process flow.
Published 2023“…<b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …”
-
11
Results of network meta-analysis.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
12
Results of network meta-analysis.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
13
Results of network meta-analysis.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
14
Results of network meta-analysis.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
15
Study flowchart.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
16
Risk of bias graph.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
17
Results of network meta-analysis.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
18
Characteristics of included studies.
Published 2023“…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …”
-
19
-
20