Comprehensive comparison of state-of-the-art approaches. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Energy consumption analysis of DDcGAN-GSOM with existing methods. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Analysis of DDcGAN-GSOM delay with existing techniques. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Comparative analysis of DDcGAN-GSOM’s Energy Consumption, Throughput, and Dealy. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

System model of the proposed method. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

Dendrogram of the stock prices. حسب Muhammad Hilal Alkhudaydi (21560690)

"…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"

Descriptive statistics on stock prices. حسب Muhammad Hilal Alkhudaydi (21560690)

"…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"

Correlation heatmap of the principal components. حسب Muhammad Hilal Alkhudaydi (21560690)

"…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"

tUbenet Foundation Model Weights حسب Natalie Holroyd (7099391)

Training results. حسب Jack B. Maguire (5123183)

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

"…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …"

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

"…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …"

Proposed reinforcement learning architecture. حسب Enoch Solomon (21416703)

"…<div><p>In the realm of game playing, deep reinforcement learning predominantly relies on visual input to map states to actions. The visual data extracted from the game environment serves as the primary foundation for state representation in reinforcement learning agents. …"

Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model حسب Getachew S. Molla (6416744)

Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx حسب Yupeng Li (507508)

"…</p>Methods<p>This paper establishes a medical prediction model for the first time on the basis of the enhanced particle swarm optimization (SRWPSO) algorithm and the fuzzy K-nearest neighbor (FKNN), called bSRWPSO-FKNN, which is practiced on a dataset related to patients with AD. …"

Inconsistency concept for a triad (2, 5, 3). حسب Waldemar W. Koczkodaj (22008783)

"…The proposed regeneration method emulates three primary phases of a biological process: identifying the most damaged areas (by identifying inconsistencies in the pairwise comparison matrix), cell proliferation (filling in missing data), and stabilization (optimization of global consistency). …"

S2 Data - حسب Musab A. Isak (18824223)

S1 Data - حسب Musab A. Isak (18824223)