Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Jingxian An

Purdue University

United States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Articles (18)

Collaborators (5)

Venkata Sai Praneeth Doranadula

Assistant Professor

Indian Institute of Technology Hyderabad

Paul Kilmartin

University of Auckland

Wei Yu

Senior Lecturer

University of Auckland

Balasubramanian Paramasivan

Associate Professor

National Institute of Technology Rourkela

Filicia Wicaksana

Senior Lecturer

University of Auckland

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jingxian An

Research Interests

Make your next move.

Explore related searches

Articles (18)

Collaborators (5)

Venkata Sai Praneeth Doranadula

Paul Kilmartin

Wei Yu

Balasubramanian Paramasivan

Filicia Wicaksana

Make your next move.

Jingxian An

Research Interests

Make your next move.

Explore related searches

Articles (18)

Developing cost-effective soft sensors to predict wine extrinsic attributes using selected chemical parameters

Ultrasound in Pigmented Rice Processing: A Versatile Approach for Anthocyanin Retention and Extraction: A Review

Machine learning-guided protein selection for functionality-informed cost reduction and quality control in wheat flour dough formulations

Optimizing infrared wavelengths in food drying: A comprehensive review of standalone and combined techniques

Product extrinsic cues as quality predictors in New Zealand Pinot Noir: Vintage outperforms price

Machine learning prediction of hydrochar adsorption capacity for methylene blue with limited data: Inspired by generative adversarial network-based augmentation

Enhanced machine learning prediction of biochar adsorption for dyes: Parameter optimization and experimental validation

Rough set machine learning informed decision rules for effective adsorption of methylene blue and Congo red dyes by hydrochar

A Soft Sensor for Simultaneous Prediction of Struvite Purity and Recovery Rate

Optimizing soft sensor costs through feature selection: A comparative study of sensory and chemical parameters in wine grade prediction

A Critical Review of Alcohol Reduction Methods for Red Wines From the Perspective of Phenolic Compositions

Infrared Radiation-Assisted Techniques for Cost-Effective Processing of Starch-Rich Foods: A Systematic Review

Applications of pigmented rice anthocyanins in food packaging: A mini review

Optimizing processing sequences in combined techniques for rice starch modification: A mini review of current understanding

Organic Functional Groups and Their Substitution Sites in Natural Flavonoids: A Review on Their Contributions to Antioxidant, Anti‐Inflammatory, and Analgesic Capabilities

Current food processing methods for obtaining umami peptides from protein-rich foods: A review

Could Collected Chemical Parameters Be Utilized to Build Soft Sensors Capable of Predicting the Provenance, Vintages, and Price Points of New Zealand Pinot Noir Wines Simultaneously?

The importance of outlier rejection and significant explanatory variable selection for pinot noir wine soft sensor development

Collaborators (5)

Venkata Sai Praneeth Doranadula

Paul Kilmartin

Wei Yu

Balasubramanian Paramasivan

Filicia Wicaksana

Make your next move.