Performance of ENQUIRE’s gene normalization algorithm. حسب Luca Musella (19986312)

Results of our MIQO formulation for synthetic training instances (<i>θ</i> = 5). حسب Hiroki Saishu (10687475)

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Results of our MIQO formulation for synthetic training instances (<i>θ</i> = 10). حسب Hiroki Saishu (10687475)

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Functional pathways and evaluation of mutation between the two MRG-related risk groups. حسب Xuefen Lin (17785367)

We recorded the distribution function of the one-step prediction time for CLPREM and its comparative models, as well as a curve graph showing the multiple of the comparative model’... حسب Xiaorui Wu (8322705)

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…For the early-stage diabetes dataset, LGWO-BP achieved an accuracy of 0.92, a recall of 0.93, a precision of 0.88, an F1-score of 0.91, and an AUC of 0.95. Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

The GOR4 and SOPMA algorithm findings. حسب Ahmad Abdullah Mahdeen (19704401)

Sensitivity of the PFP-WGAN on parameter λ₁. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

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Comparison of BLAST, DeepGO-Seq and PFP-WGAN on dataset 1. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

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Visualization for the module 1. حسب Zongjin Li (38031)

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Fig 1 - حسب Dillion M. Fox (4043159)

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ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

"…For the numerical case, user can directly provide <i>ab initio</i> data (adiabatic PESs and NACTs) as input files to this software or can generate those input files through in-built python codes interfacing MOLPRO followed by ADT calculation. …"

<i>E</i>₁(<i>m</i>)~<i>m</i> and <i>E</i>₂(<i>m</i>)~<i>m</i> curves for the observed displacement data series of the PL13-2. حسب Mingjun Li (178925)

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<i>E</i>₁(<i>m</i>)~<i>m</i> and <i>E</i>₂(<i>m</i>)~<i>m</i> curves for the observed displacement data series of the PL13-3. حسب Mingjun Li (178925)

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Graphical summary and pseudo code of our gait signatures framework and algorithm. حسب Taniel S. Winner (17296029)

Flowchart of the clinical decision support system and the interpretable tropical geometry-based fuzzy neural network algorithm. حسب Yufeng Zhang (195768)

The convergence curves of <i>F</i>₁(<i>x</i>). حسب Mingjun Li (178925)

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<i>I</i>(<i>τ</i>) ~ <i>τ</i> curve for the observed displacement data series of the PL13-3. حسب Mingjun Li (178925)

الموضوعات:

<i>I</i>(<i>τ</i>) ~ <i>τ</i> curve for the observed displacement data series of the PL13-2. حسب Mingjun Li (178925)

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Pharmacokinetics model: Schematic of the PINNs algorithm for predicting the unknown term <i>h</i>(<i>t</i>; <i>θ</i>₂) and the values of parameters simultaneously. حسب Nazanin Ahmadi Daryakenari (18143871)