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

Effectiveness of parenting education modules in enhancing knowledge of positive discipline and child development among mothers

育儿教育模块在提高母亲对积极管教和儿童发展知识方面的有效性

Sharma, Anjali; Kumar, Rohitash; Singh, S K

A Systematic Review Exploring the Phytochemical Composition and Anticancer Activities of Acacia catechu

对儿茶树的植物化学成分及其抗癌活性进行系统性综述

Rana, Navya; Bala, Madhu; Kumar, Vinod; Yadav, Rohitash; Jain, Neeraj; Mathew, Don; Bisht, Khushboo; Kumar, Rakesh; Kumar, Sunil

Clinical Profile and Morbidity Patterns in Neonates Born Through Meconium-Stained Amniotic Fluid Based on a Prospective Observational Study From a Rural Tertiary Care Center in India

印度农村三级医疗中心前瞻性观察研究:胎粪污染羊水新生儿的临床特征和发病模式

Dutta, Gaurav; Kumar Yadav, Suresh; Rathoria, Ekansh; Lahari, Rohitash; Srivastava, Akash; Rathoria, Richa

Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef

深度探索:利用预训练深度学习技术识别大堡礁深海遥控潜水器生物群落

Deo, Ratneel; John, Cédric M; Zhang, Chen; Whitton, Kate; Salles, Tristan; Webster, Jody M; Chandra, Rohitash

Sustained Delivery of Rifampicin Nanoformulation Administration Intravitreally Into Rabbit Eyes for Ocular Tuberculosis

将利福平纳米制剂持续递送至兔眼玻璃体内治疗眼结核

Yadav, Rohitash; Tiwari, Chakrmani; Kumar, Vinod; Pandey, Avaneesh; Kondel, Ritika; Shafiq, Nushrat

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

用于区分 COVID-19 期间主要关注变异株的无监督机器学习框架

Chandra, Rohitash; Bansal, Chaarvi; Kang, Mingyue; Blau, Tom; Agarwal, Vinti; Singh, Pranjal; Wilson, Laurence O W; Vasan, Seshadri

Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron

通过 Twitter 进行 COVID-19 主题建模的深度学习:Alpha、Delta 和 Omicron

Lande, Janhavi; Pillay, Arti; Chandra, Rohitash

Identification of bioactive molecules from Triphala (Ayurvedic herbal formulation) as potential inhibitors of SARS-CoV-2 main protease (Mpro) through computational investigations.

通过计算研究鉴定三果宝(阿育吠陀草药配方)中的生物活性分子作为 SARS-CoV-2 主蛋白酶 (Mpro) 的潜在抑制剂

Rudrapal Mithun, Celik Ismail, Khan Johra, Ansari Mohammad Azam, Alomary Mohammad N, Yadav Rohitash, Sharma Tripti, Tallei Trina Ekawati, Pasala Praveen Kumar, Sahoo Ranjan Kumar, Khairnar Shubham J, Bendale Atul R, Zothantluanga James H, Chetia Dipak, Walode Sanjay G

Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita

人工智能在印度教哲学主题建模中的应用:映射奥义书与薄伽梵歌之间的主题

Chandra, Rohitash; Ranjan, Mukul

Deep learning via LSTM models for COVID-19 infection forecasting in India

利用LSTM模型进行深度学习预测印度新冠肺炎感染情况

Chandra, Rohitash; Jain, Ayush; Singh Chauhan, Divyanshu