Artificial Neural Network Algorithm in Nutritional Assessment DOI
David Oyekunle,

Alain Claude Bah Esseme,

Matthew Abiola Oladipupo

и другие.

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 253 - 276

Опубликована: Сен. 20, 2024

In the current study, we used an artificial neural network (ANN) machine learning algorithm to construct intelligence-based nutritional assessment system. The information from a user's regular meals as well their preexisting health indicators formulate based requirement. ANN-based evaluation approaches will make it possible assess eating habits, recommend daily meals, and improve general health. particular, develop technique identify multiple food items by classifying them using ANN identifying suitable assessments anthropometric, biochemical, clinical, dietary (ABCD) data. Using model, intelligence system initially creates number of proposals input. Next, unique ABCD evaluation, feature maps for each proposal classify diet interval its composition.

Язык: Английский

Transition to Sustainable Human-Centric Education in Emerging Artificial Intelligence Industry 5.0 DOI
David Oyekunle,

Morgan Nwaiku,

Ugochukwu Okwudili Matthew

и другие.

Advances in higher education and professional development book series, Год журнала: 2024, Номер unknown, С. 37 - 76

Опубликована: Дек. 18, 2024

The wave of European Commission conception for the Fifth Industrial Revolution, or Industry 5.0, a new paradigm towards sustainability that will use technology to transform world is essentially proliferating. In this paper, authors exceptionally advanced generative artificial intelligence (AI) in development conversational education pedagogy Society 5.0 by describing technological underpinnings, guiding principles, essential values, and key components education. Conversational AI was projected with help user-centric ChatGPT-5 .The goal provide educational technologist best practices experimentally validated guidelines measuring, enhancing, maintaining human centeredness. It anticipated would incorporate more sophisticated multimodal features, allowing it process produce text addition images, voice, maybe video. Creating intricate visual material, helping video content offering dynamic captivating user experiences

Язык: Английский

Процитировано

0
Artificial Neural Network Algorithm in Nutritional Assessment DOI
David Oyekunle,

Alain Claude Bah Esseme,

Matthew Abiola Oladipupo

и другие.

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 253 - 276

Опубликована: Сен. 20, 2024

In the current study, we used an artificial neural network (ANN) machine learning algorithm to construct intelligence-based nutritional assessment system. The information from a user's regular meals as well their preexisting health indicators formulate based requirement. ANN-based evaluation approaches will make it possible assess eating habits, recommend daily meals, and improve general health. particular, develop technique identify multiple food items by classifying them using ANN identifying suitable assessments anthropometric, biochemical, clinical, dietary (ABCD) data. Using model, intelligence system initially creates number of proposals input. Next, unique ABCD evaluation, feature maps for each proposal classify diet interval its composition.

Язык: Английский

Процитировано

0