Proposed diagram of speaker segmentation system. حسب Sukhvinder Kaur (20297968)

الموضوعات:

Confusion matrix: Describes the two errors based on ground truth and predicted values of the SCP in the frame. حسب Sukhvinder Kaur (20297968)

الموضوعات:

Manually detected 11 speaker change points and framed signal of development database. حسب Sukhvinder Kaur (20297968)

الموضوعات:

First figure represents the waveform of input signal and second shows its co-processed form in the ratio of 4:1 using DWT. حسب Sukhvinder Kaur (20297968)

الموضوعات:

Experimental results of speaker segmentation system for three existing distance metrics and proposed distance metrics applied on development dataset and test datasets. حسب Sukhvinder Kaur (20297968)

الموضوعات:

Performance of proposed method for speaker change point detection and traditional distance metrics with various databases. حسب Sukhvinder Kaur (20297968)

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Exploration and Design of Carbon Dot-Based Long Afterglow Materials Using Active Machine Learning and Quantum Chemical Simulations حسب Hongwei Yang (1367979)

"…Using Bayesian optimization, we screened and synthesized the CDs-based long afterglow materials with the longest lifetime reported so far by a one-step microwave method. …"

Modeling CO₂ solubility in polyethylene glycol polymer using data driven methods حسب YunLi Lei (21458056)

"…In this research, a Random Forest (RF) machine learning model is meticulously tuned through four sophisticated optimization algorithms: Batch Bayesian Optimization (BBO), Self-Adaptive Differential Evolution (SADE), Bayesian Probability Improvement (BPI), and Gaussian Processes Optimization (GPO). …"

High-Resolution Tuning of Non-Natural and Cyclic Peptide Folding Landscapes against NMR Measurements Using Markov Models and Bayesian Inference of Conformational Populations حسب Thi Dung Nguyen (21513519)

"…Here, we model the folding landscapes of 12 linear and cyclic peptide β hairpin mimics studied by the Erdelyi group, with the goal of reproducing the effects of subtle chemical modifications on peptide folding stability. The Bayesian Inference of Conformational Populations (BICePs) algorithm was first used to refine Karplus parameters to obtain an optimal forward model for scalar coupling constants; then, BICePs was used to reweight conformational ensembles against experimental NMR observables (NOE distances, chemical shifts, and ³<i>J</i>_{<i>H</i>^<i>N</i><i>H</i>^α} scalar couplings). …"

High-Resolution Tuning of Non-Natural and Cyclic Peptide Folding Landscapes against NMR Measurements Using Markov Models and Bayesian Inference of Conformational Populations حسب Thi Dung Nguyen (21513519)

"…Here, we model the folding landscapes of 12 linear and cyclic peptide β hairpin mimics studied by the Erdelyi group, with the goal of reproducing the effects of subtle chemical modifications on peptide folding stability. The Bayesian Inference of Conformational Populations (BICePs) algorithm was first used to refine Karplus parameters to obtain an optimal forward model for scalar coupling constants; then, BICePs was used to reweight conformational ensembles against experimental NMR observables (NOE distances, chemical shifts, and ³<i>J</i>_{<i>H</i>^<i>N</i><i>H</i>^α} scalar couplings). …"

Overall flowchart of the proposed model. حسب Cai Yuanqing (22513351)

"…BOHB merges Bayesian optimization and Hyperband, significantly speeding up the optimization process. …"

Comparison of information entropy. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

Flowchart of the face recognition system. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

Construction process of ASEF filter. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

Comparison of accuracy of different methods. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

A simple example of the KA. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

Evaluation accuracy between different models. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

Two-dimensional data projection diagram. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

Recognition speed and recognition rate histogram. حسب Na Lin (69470)

"…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …"

Distributions of the goodness-of-fit (GoF) values for all tested approaches and parameter spaces. حسب Kevin J. Wischnewski (21354521)