Deep-Learning-Based Defective Bean Inspection with GAN-Structured Automated Labeled Data Augmentation in Coffee Industry

A Survey of Parallel Sequential Pattern Mining

(2019) Wensheng Gan et al.   ACM Transactions on Knowledge Discovery from Data

HUOPM: High-Utility Occupancy Pattern Mining

(2019) Wensheng Gan et al.   IEEE Transactions on Cybernetics

A Survey of Utility-Oriented Pattern Mining

(2019) Wensheng Gan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Variability of single bean coffee volatile compounds of Arabica and robusta roasted coffees analysed by SPME-GC-MS

(2018) Nicola Caporaso et al.   FOOD RESEARCH INTERNATIONAL

AI Cupper: A Fuzzy Expert System for Sensorial Evaluation of Coffee Bean Attributes to Derive Quality Scoring

(2018) Javier A. Livio et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Intelligent defect classification system based on deep learning

(2018) Ruifang Ye et al.   Advances in Mechanical Engineering

Vision-based detection of loosened bolts using the Hough transform and support vector machines

(2016) Young-Jin Cha et al.   AUTOMATION IN CONSTRUCTION

Beans quality inspection using correlation-based granulometry

(2015) Sidnei Alves de Araújo et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Discrimination of Defective (Full Black, Full Sour and Immature) and Nondefective Coffee Beans by Their Physical Properties

(2014) Abebe Belay et al.   JOURNAL OF FOOD PROCESS ENGINEERING

High-Throughput Metabolic Profiling of Diverse Green Coffea arabica Beans Identified Tryptophan as a Universal Discrimination Factor for Immature Beans

(2013) Daiki Setoyama et al.   PLoS One

Real-time computer vision with OpenCV

(2012) Kari Pulli et al.   COMMUNICATIONS OF THE ACM

A FAST RANDOMIZED HOUGH TRANSFORM FOR CIRCLE/CIRCULAR ARC RECOGNITION

(2010) SHIH-HSUAN CHIU et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE