More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN. by Leonides Medeiros Neto (10429179)

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Algorithm of the PbGA search for the optimal PbF. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

HIV screening algorithm. by Wei Li A. Koay (21094209)

Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

“…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

“…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”

General procedural flow of clustering algorithm. by Sandeep Yerrathi (17775761)

“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”

Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

“…On a personal computer with a 2.3 GHz Intel Core i9 processor with 16 GB RAM, each processing takes less than five minutes. Our ‘partial generational orderings’ based method CausNet-partial is an efficient and scalable method for finding optimal sparse and small Bayesian networks from high dimensional data.…”

Optimal cluster head approach. by Sandeep Yerrathi (17775761)

“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”

Optimal cluster formation approach. by Sandeep Yerrathi (17775761)

“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization by James A. Lumley (9464878)

“…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …”

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization by James A. Lumley (9464878)

“…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …”

Experiment 4: Accuracy of modularity-based consensus clustering methods on ring-of-cliques networks of varying sizes. by Yasamin Tabatabaee (18095491)

uOT compared to . by Daniel Bedoya (13139364)

A Machine Learning-Optimized System for Pulsatile, Photo- and Chemotherapeutic Treatment Using Near-Infrared Responsive MoS₂‑Based Microparticles in a Breast Cancer Mode... by Maria Kanelli (5494031)

Composition of the Arboviruses data sets. by Leonides Medeiros Neto (10429179)

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Samples of Dengue, Chikungunya and Inconclusive converted by the DeepInsight. by Leonides Medeiros Neto (10429179)

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Example of a summary table. by Leonides Medeiros Neto (10429179)

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Results of the Tuned DeepInsight-CNN and the model proposed by Neto et al. [9], for the Dengue/Chikungunya data set. by Leonides Medeiros Neto (10429179)

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