Application of meta-heuristic feature selection method in low-cost portable device for watermelon classification using signal processing techniques

Wavelets behind the scenes: Practical aspects, insights, and perspectives

(2022) Rodrigo Capobianco Guido   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Machine learning techniques for classifying the sweetness of watermelon using acoustic signal and image processing

(2021) Ketsarin Chawgien et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

(2021) Omar AlShorman et al.   Advances in Mechanical Engineering

Fault diagnosis of angle grinders and electric impact drills using acoustic signals

(2021) Adam Glowacz et al.   APPLIED ACOUSTICS

Review on the recent progress of non-destructive detection technology for internal quality of watermelon

(2018) Dengfei Jie et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review

(2018) Ebrahiema Arendse et al.   JOURNAL OF FOOD ENGINEERING

Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals

(2018) Yinghao Zhang et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes]

(2017) Rodrigo Capobianco Guido   IEEE SIGNAL PROCESSING MAGAZINE

Rapid and nondestructive techniques for internal and external quality evaluation of watermelons: A review

(2017) Maimunah Mohd Ali et al.   SCIENTIA HORTICULTURAE

Firmness prediction and modeling by optimizing acoustic device for watermelons

(2016) Jianhua Mao et al.   JOURNAL OF FOOD ENGINEERING

Assessing the temperature influence on the soluble solids content of watermelon juice as measured by visible and near-infrared spectroscopy and chemometrics

(2013) Yang Yao et al.   JOURNAL OF FOOD ENGINEERING

Classifying watermelon ripeness by analysing acoustic signals using mobile devices

(2013) Wei Zeng et al.   Personal and Ubiquitous Computing

Using visible and near infrared diffuse transmittance technique to predict soluble solids content of watermelon in an on-line detection system

(2013) Dengfei Jie et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Establishment of a comprehensive indicator to nondestructively analyze watermelon quality at different ripening stages

(2013) Shuye Qi et al.   Journal of Innovative Optical Health Sciences

The water footprint of humanity

(2012) A. Y. Hoekstra et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Analysis of wavelet packet and statistical textures for object-oriented classification of forest-agriculture ecotones using SPOT 5 imagery

(2011) Wei Su et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An intelligent system for sorting pistachio nut varieties

(2009) Mahmoud Omid et al.   EXPERT SYSTEMS WITH APPLICATIONS

Non-destructive determination of the optimum eating ripeness of pears and their texture measurements using acoustical vibration techniques

(2008) Mitsuru Taniwaki et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Postharvest quality evaluation of “Fuyu” and “Taishuu” persimmons using a nondestructive vibrational method and an acoustic vibration technique

(2008) Mitsuru Taniwaki et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY