Flock optimization algorithm-based deep learning model for diabetic disease detection improvement

QR Code

Flock optimization algorithm-based deep learning model for diabetic disease detection improvement

Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converg...

Full description

Bibliographic Details
Main Authors:	Balasubramaniyan, Divager, Husin, Nor Azura, Mustapha, Norwati, Mohd Sharef, Nurfadhlina, Mohd Aris, Teh Noranis
Format:	Article
Published:	Science Publication 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/106288/

Similar Items

Flock optimization induced deep learning for improved diabetes disease classification
by: Balasubramaniyan, Divager, et al.
Published: (2023)

A proposed approach for diabetes diagnosis using neuro-fuzzy technique
by: Alasaady, Maher Talal, et al.
Published: (2022)

Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
by: Al-Asaady, Maher Talal, et al.
Published: (2025)

Fast multilayer color QR code decoder algorithm utilizing fuzzy technique
by: Badawi, Bakri, et al.
Published: (2020)

An improved deep learning-based approach for sentiment mining
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2014)

Multiobjective deep reinforcement learning for recommendation systems
by: Ee, Yeo Keat, et al.
Published: (2022)

Parallel implementation on improved error signal of backpropagation algorithm
by: Mohd Aris, Teh Noranis
Published: (2001)

Multi-objective deep reinforcement learning for recommendation systems
by: Keat, Ee Yeo, et al.
Published: (2022)

Object-oriented online course recommendation systems based on deep neural networks
by: Luo, Hao, et al.
Published: (2024)

Object-oriented online course recommendation systems based on deep neural networks
by: Husin, Nor Azura, et al.
Published: (2024)

Birds of a feather flock to KKB
by: Michael, Stuart
Published: (2013)

Molecular detection, characterisation and serological survey of chicken astrovirus from broiler flocks in Malaysia
by: Abdullahi Raji, Abdullahi, et al.
Published: (2022)

Molecular detection, characterisation and serological survey of chicken astrovirus from broiler flocks in Malaysia
by: Abdullahi Raji, Abdullahi, et al.
Published: (2022)

Alzheimer's diseases detection by using deep learning algorithms: a mini-review
by: Al-Shoukry, Suhad, et al.
Published: (2020)

Alzheimer’s diseases detection by using deep learning algorithms: A mini-review
by: Al-Shoukry, Suhad, et al.
Published: (2020)

A meta-heuristic algorithm for the minimal high-quality feature extraction of online reviews
by: Mat Zin, Harnani, et al.
Published: (2022)

Impact of maedi-visna on sheep breeding flocks
by: Jones, Scott
Published: (2021)

Genetic diversity of recent infectious bursal disease viruses isolated from vaccinated poultry flocks in Malaysia
by: Aliyu, Hayatuddeen Bako, et al.
Published: (2021)

Inclusion body hepatitis in a flock of commercial broiler chickens
by: Bejo, Mohd Hair
Published: (2005)

Ensemble neural networks with input optimization for flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Quantitative analysis of antibiotic usage in British sheep flocks
by: Davies, Peers, et al.
Published: (2017)

Flocking for multiple elliptical agents with limited communication ranges
by: Do, Khac Duc
Published: (2011)

Flocking for multiple ellipsoidal agents with limited communication ranges
by: Do, Khac Duc
Published: (2013)

Over 15,000 Flock to Education Carnival at UMP
by: UMP, LIB

Modelling knowledge summarization by evolving fuzzy grammar
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2013)

Detection of basal stem rot disease using deep learning
by: Haw, Yu Hong, et al.
Published: (2023)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Plant disease detection using deep learning
by: Cheng, Jung Yin
Published: (2024)

Parasitic coinfections among selected smallholder goat flocks in Malaysia
by: B. T., Paul, et al.
Published: (2024)

ROME: a graph contrastive multi-view framework from hyperbolic angular space for MOOCs recommendation
by: Luo, Hao, et al.
Published: (2023)

38,000 flock “Jom Masuk U” carnival in Kuantan
by: UMP, PNC

Job seekers flock to Karnival Aspirasi Madani career fair
by: Wahab, Farid
Published: (2023)

A temporal-focused trustworthiness to enhance trust-based recommender systems
by: Moghaddam, Morteza Ghorbani, et al.
Published: (2013)

Improving multi-term topics focused crawling by introducing term frequency-information content (TF-IC) measure
by: Pesaranghader, Ali, et al.
Published: (2013)

Comparative analysis and how efficient deep learning methods of malware detection
by: Mustapha, Norwati, et al.
Published: (2024)

Evaluation of a fuzzy 3D color QR code decoder
by: Badawi, Bakri, et al.
Published: (2018)

Color QR code recognition utilizing neural network and fuzzy logic techniques
by: Badawi, Bakri, et al.
Published: (2017)

Fuzzy encoder framework for four layers color QR code
by: Badawi, Bakri, et al.
Published: (2019)

Bootsrapping instance-based ontology matching via unsupervised generation of training samples
by: Abubakar, Mansir, et al.
Published: (2019)