Advancements and Applications of Convolutional Neural Networks in Image Analysis: A Comprehensive Review

HM Zangana, AK Mohammed… - Jurnal Ilmiah Computer …, 2024 - ejurnal.snn-media.com
Abstract Convolutional Neural Networks (CNNs) have revolutionized image analysis,
extracting meaningful features from raw pixel data for accurate predictions. This paper …

SeeDS: Semantic separable diffusion synthesizer for zero-shot food detection

P Zhou, W Min, Y Zhang, J Song, Y Jin… - Proceedings of the 31st …, 2023 - dl.acm.org
Food detection is becoming a fundamental task in food computing that supports various
multimedia applications, including food recommendation and dietary monitoring. To deal …

Sentiment Analysis on Online Transportation Services Using Convolutional Neural Network Method

DS Ashari, B Irawan… - 2021 8th International …, 2021 - ieeexplore.ieee.org
Online transportation services are public transportation that is much in demand by the
public. According to the We Are Social 2020 report, as many as 21.7 million people in …

Evaluating machine learning technologies for food computing from a data set perspective

NU Gilal, K Al-Thelaya, JK Al-Saeed… - Multimedia Tools and …, 2024 - Springer
Food plays an important role in our lives that goes beyond mere sustenance. Food affects
behavior, mood, and social life. It has recently become an important focus of multimedia and …

Developing a Quality Control System in a Continuous Hot Air Heating Process in Surimi Seafood Processing Using Image Analysis and Artificial Intelligence

WB Yoon, S An, TM Oyinloye, J Kim - Processes, 2023 - mdpi.com
In this study, the feasibility of classifying surimi gels during a continuous heating process
using an artificial intelligence (AI) algorithm on labeled images was investigated. Surimi …

Analysis of Optimizer Effects on CNN Model for Defect Identification in Welding Results of A 106 Grade B Carbon Steel Pipe

MK Al Amin, MT Wahyudi, MA Yaqin… - 2023 International …, 2023 - ieeexplore.ieee.org
Welding is one of the sectors that play a crucial role in supporting the rapid development of
infrastructure. However, in the process, many defects occur that sometimes escape …

A Study on the Implementation of Temporal Noise-Robust Methods for Acquiring Vital Signs

S Park, H Youn, S Lee, S Kwon - IEEE Access, 2024 - ieeexplore.ieee.org
There has been a surge in research focused on the analysis of vital signs using remote
photoplethysmography (rPPG) sensors, as opposed to traditional photoplethysmography …

Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing

NU Gilal, M Qaraqe, J Schneider, M Agus - The Visual Computer, 2024 - Springer
Food computing has emerged as a promising research field, employing artificial intelligence,
deep learning, and data science methodologies to enhance various stages of food …

Visual Sentiment Classification of Restaurant Review Images using Deep Convolutional Neural Networks

M Mamatha, S Shivakumar, J Thriveni… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
In the recent years online reviews are prevalent. Over the years people have started giving
feedback about a restaurant by posting images as part of a review where the sentiment …

[PDF][PDF] Food Detection by Fine-Tuning Pre-trained Convolutional Neural Network Using Noisy Labels

S Alshomrani, L Aljoudi, B Aljabri… - International Journal of …, 2021 - researchgate.net
Deep learning is an advanced technology for large-scale data analysis, with numerous
promising cases like image processing, object detection and significantly more. It becomes …