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N‐Methoxybenzamide: A Versatile Directing Group for Palladium‐, Rhodium‐ and Ruthenium‐Catalyzed C−H Bond Activations

Advanced synthesis & catalysis, 2019-09, Vol.361 (18), p.4149-4195

2019

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Ru‐TsDPEN catalysts and derivatives in asymmetric transfer hydrogenation reactions

Chirality (New York, N.Y.), 2021-07, Vol.33 (7), p.337-378

2021

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Industry 4.0 and Healthcare: Impact of Artificial Intelligence

2023

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Nickel, Cobalt and Palladium Catalysed C−H Functionalization of Un‐Activated C(sp3)−H Bond

Chemical record, 2019-09, Vol.19 (9), p.1829-1857

2019

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Soft Computing Applications and Techniques in Healthcare

1st edition, 2021

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Multi-Criteria Decision Models in Software Reliability: Methods and Applications

1, 2023

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UiO-66 as an efficient catalyst for N-formylation of amines with CO2 and dimethylamine borane as a reducing agent

Inorganica Chimica Acta, 2020-02, Vol.501, p.119274, Article 119274

2020

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Ru-Tethered ( R,R )-TsDPEN with DMAB as an efficient catalytic system for high enantioselective one-pot synthesis of chiral β-aminol via asymmetric transfer hydrogenation

New journal of chemistry, 2021-03, Vol.45 (12), p.5357-5362

2021

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Zirconium-MOF-catalysed selective synthesis of α-hydroxyamide via the transfer hydrogenation of α-ketoamide

New journal of chemistry, 2019, Vol.43 (16), p.6160-6167

2019

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Nanoceria‐Catalyzed Selective Synthesis of α‐Hydroxy Amides through the Reduction of an Unusual Class of α‐Keto Amides

Asian journal of organic chemistry, 2018-05, Vol.7 (5), p.922-931

2018

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Development and Validation of Stability-indicating RP-HPLC Method for Estimation of Pranlukast Hydrate in its Laboratory Mixture

Journal of chromatographic science, 2022-02, Vol.60 (2), p.179-185

2022

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Ru-Tethered ()-TsDPEN with DMAB as an efficient catalytic system for high enantioselective one-pot synthesis of chiral β-aminol asymmetric transfer hydrogenation

New journal of chemistry, 2021-03, Vol.45 (12), p.5357-5362

2021

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Zirconium-MOF-catalysed selective synthesis of α-hydroxyamide via the transfer hydrogenation of α-ketoamideElectronic supplementary information (ESI) available. See DOI: 10.1039/c9nj00900k

2019-04

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Ru–g-C 3 N 4 as a highly active heterogeneous catalyst for transfer hydrogenation of α-keto amide into β-aminol or α-hydroxyl amide

New journal of chemistry, 2020-06, Vol.44 (25), p.10578-10585

2020

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Ru-g-CN as a highly active heterogeneous catalyst for transfer hydrogenation of α-keto amide into β-aminol or α-hydroxyl amide

New journal of chemistry, 2020-06, Vol.44 (25), p.1578-1585

2020

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Ru–g-C3N4 as a highly active heterogeneous catalyst for transfer hydrogenation of α-keto amide into β-aminol or α-hydroxyl amide

New journal of chemistry, 2020-01, Vol.44 (25), p.10578-10585

2020

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Electronic And Steric Effect Favored Selective Synthesis Of Asymmetric (‐) N‐Aryl Mandelamides

ChemistrySelect (Weinheim), 2019-12, Vol.4 (48), p.14032-14035

2019

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Brain Tumor Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine Learning

Industry 4. 0 and Healthcare, 2023, p.81-112

2023

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How Artificial Intelligence is Transforming Medicine: The Future of Pharmaceutical Research

Industry 4. 0 and Healthcare, 2023, p.133-150

2023

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A Vision for Industry 4.0 Utilising AI Techniques and Methods

Industry 4. 0 and Healthcare, 2023, p.207-221

2023

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Impression of Big Data Analytics and Artificial Intelligence for Healthcare—A Study

Industry 4. 0 and Healthcare, 2023, p.151-171

2023

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The Impact of Artificial Intelligence on Healthcare

Industry 4. 0 and Healthcare, 2023, p.59-79

2023

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Artificial Intelligent Model for Riot and Violence Detection that Largely Affect Societal Health and Local Healthcare System

Industry 4. 0 and Healthcare, 2023, p.113-131

2023

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An Artificial Intelligence-Based Model for the Detection of Heart Disease Using Machine Learning

Industry 4. 0 and Healthcare, 2023, p.1-18

2023

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Artificial Intelligence Based Querying of Healthcare Data Processing

Industry 4. 0 and Healthcare, 2023, p.173-184

2023

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N‐Methoxybenzamide: A Versatile Directing Group for Palladium‐, Rhodium‐ and Ruthenium‐Catalyzed C−H Bond Activations

Ru‐TsDPEN catalysts and derivatives in asymmetric transfer hydrogenation reactions

Industry 4.0 and Healthcare: Impact of Artificial Intelligence

Nickel, Cobalt and Palladium Catalysed C−H Functionalization of Un‐Activated C(sp3)−H Bond

Soft Computing Applications and Techniques in Healthcare

Multi-Criteria Decision Models in Software Reliability: Methods and Applications

UiO-66 as an efficient catalyst for N-formylation of amines with CO2 and dimethylamine borane as a reducing agent

Ru-Tethered ( R,R )-TsDPEN with DMAB as an efficient catalytic system for high enantioselective one-pot synthesis of chiral β-aminol via asymmetric transfer hydrogenation

Zirconium-MOF-catalysed selective synthesis of α-hydroxyamide via the transfer hydrogenation of α-ketoamide

Nanoceria‐Catalyzed Selective Synthesis of α‐Hydroxy Amides through the Reduction of an Unusual Class of α‐Keto Amides

Development and Validation of Stability-indicating RP-HPLC Method for Estimation of Pranlukast Hydrate in its Laboratory Mixture

Ru-Tethered ()-TsDPEN with DMAB as an efficient catalytic system for high enantioselective one-pot synthesis of chiral β-aminol asymmetric transfer hydrogenation

Zirconium-MOF-catalysed selective synthesis of α-hydroxyamide via the transfer hydrogenation of α-ketoamideElectronic supplementary information (ESI) available. See DOI: 10.1039/c9nj00900k

Ru–g-C 3 N 4 as a highly active heterogeneous catalyst for transfer hydrogenation of α-keto amide into β-aminol or α-hydroxyl amide

Ru-g-CN as a highly active heterogeneous catalyst for transfer hydrogenation of α-keto amide into β-aminol or α-hydroxyl amide

Ru–g-C3N4 as a highly active heterogeneous catalyst for transfer hydrogenation of α-keto amide into β-aminol or α-hydroxyl amide

Electronic And Steric Effect Favored Selective Synthesis Of Asymmetric (‐) N‐Aryl Mandelamides

Brain Tumor Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine Learning

How Artificial Intelligence is Transforming Medicine: The Future of Pharmaceutical Research

A Vision for Industry 4.0 Utilising AI Techniques and Methods

Impression of Big Data Analytics and Artificial Intelligence for Healthcare—A Study

The Impact of Artificial Intelligence on Healthcare

Artificial Intelligent Model for Riot and Violence Detection that Largely Affect Societal Health and Local Healthcare System

An Artificial Intelligence-Based Model for the Detection of Heart Disease Using Machine Learning

Artificial Intelligence Based Querying of Healthcare Data Processing

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