Large-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100. by Olaide N. Oyelade (14047002)

Subjects:

A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some medium-sized dimensional data... by Olaide N. Oyelade (14047002)

Subjects:

Small-scale dataset comparative analysis using computation resources. by Olaide N. Oyelade (14047002)

Subjects:

Small-scale dataset comparative analysis using the number of features selected. by Olaide N. Oyelade (14047002)

Subjects:

A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some small-sized dimensional datas... by Olaide N. Oyelade (14047002)

Subjects:

Large-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100. by Olaide N. Oyelade (14047002)

Subjects:

Parameter settings. by Olaide N. Oyelade (14047002)

Subjects:

Fig 2 - by Olaide N. Oyelade (14047002)

Subjects:

Index weights and index cloud parameters. by Jianjun Yang (124022)

“…<div><p>Aiming at the comfort evaluation of automobile intelligent cockpit, an evaluation model based on improved combination weighting-cloud model is established. …”

The mapping from chromosome to weights. by XiuZhi Qi (18555018)

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

The weights of individuals with different . by Xuejiao Zhang (3089274)

“…Furthermore, to reduce the bias in attribute weight assessment caused by peer effects, a social network-based algorithm that enables precise quantification of subgroup and member weights is proposed. …”

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data by Fei Xue (24567)

“…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …”

Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization by Sandeep Jagonda Patil (22048337)

“…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.…”

Feature attribute weight cloud map. by Dongling Ma (1269888)

“…A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. …”

Weight values of basic characteristic attributes. by Dongling Ma (1269888)

“…A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. …”

Dataset 2: Zip file containing the Tables of the presented method and results by Suchismita Behera (22027316)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

“…The integration of heuristic optimization and machine learning significantly enhances both speed and precision in astrocyte data analysis. …”

Node centrality and average weight. by Xuejiao Zhang (3089274)

“…Furthermore, to reduce the bias in attribute weight assessment caused by peer effects, a social network-based algorithm that enables precise quantification of subgroup and member weights is proposed. …”

MEA-BP neural network algorithm flowchart. by Dongling Ma (1269888)

“…A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. …”