日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Nanoparticles-based phototherapy systems: molecular mechanisms and clinical applications

基于纳米颗粒的光疗系统:分子机制和临床应用

Chauhan, Deepak S; Prasad, Rajendra; Dhanka, Mukesh; Kaur, Navneet; Vithalani, Hitasha; Liyanapathirana, Kaveesha; Hebbandi Nanjundappa, Roopa; Gao, Huile; Umeshappa, Channakeshava Sokke

Generative adversarial networks and hyperparameter-optimized XGBoost for enhanced heart disease prediction

生成对抗网络和超参数优化的 XGBoost 用于增强心脏病预测

Begum, Shaik Sajeera; Swamy, Amit; Dhanka, Sanjay; Abu-Shareha, Ahmad Adel; Khan, Mudassir; Husain, Izhar

Defect-enriched CuO/CeO(2) nanostructure: in-depth structural characterization and photocatalytic performance

缺陷富集的CuO/CeO₂纳米结构:深入的结构表征和光催化性能

Dhanka, Ajit Kumar; Pani, Balaram; Agasti, Nityananda

A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques

一种结合经典和量子启发式机器学习技术的混合框架,用于心脏病预测

Kumar, Ankur; Dhanka, Sanjay; Sharma, Abhinav; Bansal, Rohit; Fahlevi, Mochammad; Rabby, Fazla; Aljuaid, Mohammed

Padding interpolation, median imputation, RobustScalar, and particle swarm optimization with heterogeneous classifiers: a robust combination for effective heart disease diagnosis

填充插值、中值插补、RobustScalar 和粒子群优化结合异构分类器:一种用于有效诊断心脏病的稳健组合

Dhanka, Sanjay; Kumar, Ankur; Maini, Surita; Kumar, Nitin; Singh, Jeewan; Khan, Mudassir; Abbas, Mohamed; Ksibi, Amel

Comprehensive framework for thyroid disorder diagnosis: Integrating advanced feature selection, genetic algorithms, and machine learning for enhanced accuracy and other performance matrices

甲状腺疾病诊断综合框架:整合先进的特征选择、遗传算法和机器学习技术,以提高准确率和其他性能指标

Kumar, Ankur; Dhanka, Sanjay; Sharma, Abhinav; Sharma, Anchal; Maini, Surita; Fahlevi, Mochammad; Rabby, Fazla; Aljuaid, Mohammed; Bansal, Rohit