Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
The difficulties to drive away the durian farm threatens animals such as wild boars, monkeys, foxes, and squirrels during nighttime often experienced by durian farmers. Therefore, the Pro Durian application is proposed that allows farmers to identify durian threats through a camera phone with an ale...
Saved in:
Main Authors: | Yusoff, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi |
---|---|
Format: | Article |
Language: | English |
Published: |
Ijetae
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/8801/1/J15817_93d696d741ce66312d4270d55ad734db.pdf http://eprints.uthm.edu.my/8801/ https://doi.org/10.46338/ijetae0223_02 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of information security threats using data mining approach in campus network
by: Awang, Norkhushaini, et al.
Published: (2020) -
Ascertaining speech emotion using attention-based convolutional neural network framework.
by: Arya, Ashima, et al.
Published: (2023) -
Information security threat avoidance behavior: an
empirical investigation
by: Ling, Zhixuan
Published: (2019) -
Novel risk assessment method to identify information security threats in cloud computing environment
by: Samy, G. N., et al.
Published: (2019) -
Conceptual model of persuasive multimedia content (PMC) for social media advertising of island homestays
by: Muhammad Abdul Malik, Saedon
Published: (2019)