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"RealWaste: A Novel Real-Life Data Set for Landfill Waste Classificatio" by Sam Single, Saeid Iranmanesh et al.

The accurate classification of landfill waste diversion plays a critical role in efficient waste management practices. Traditional approaches, such as visual inspection, weighing and volume measurement, and manual sorting, have been widely used but suffer from subjectivity, scalability, and labour requirements. In contrast, machine learning approaches, particularly Convolutional Neural Networks (CNN), have emerged as powerful deep learning models for waste detection and classification. This paper analyses VGG-16, InceptionResNetV2, DenseNet121, Inception V3, and MobileNetV2 models to classify real-life waste when trained on pristine and unadulterated materials, versus samples collected at a landfill site. When training on DiversionNet, the unadulterated material dataset with labels required for landfill modelling, classification accuracy was limited to 49.69% in the real environment. Using real-world samples in the newly formed RealWaste dataset showed that practical applications for d ....

Convolutional Neural Networks , Convolution Neural Networks , Deep Learning , Landfill Waste , Machine Learning , Waste Management ,

Loreto's Surabhi leads the way as Kilkenny students take home SciFest prizes

A student from Loreto Secondary School in Kilkenny has won first place in Ireland’s future innovators at SciFest4STEM regional event at South East Technol. ....

Surabhi Gunjur Sathish , Convolution Neural Networks , Technological University , Loreto Secondary School In Kilkenny , Loreto Secondary School , South East Technological , Gunjur Sathish , Intelligent Recycling Sorting , National Final ,

NCAI invites students for Artificial Intelligence Challenge

NCAI invites students for Artificial Intelligence Challenge
pakobserver.net - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from pakobserver.net Daily Mail and Mail on Sunday newspapers.

Al Techverse , National University Of Science , National Center , Al Expo Lab , Convolution Neural Networks , Artificial Neural Networks , International Conference On Artificial Intelligence , Neural Network , Intelligent Systems , Artificial Intelligence , National University , Artificial Intelligence Applications , Autonomous Systems , Assistive Robotics , Cyber Security , Adata Fusion , Data Mining , Information Retrieval , Decision Support , Deep Learning , Big Data Analytics , Real Time Systems , Social Networks , Biological Inspired Neural Network , Natural Language Processing ,

Nationwide AI Challenge Announced With Cash Prizes For Students

Nationwide AI Challenge Announced With Cash Prizes For Students
propakistani.pk - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from propakistani.pk Daily Mail and Mail on Sunday newspapers.

National University Of Science , National Center , Convolution Neural Networks , International Conference On Artificial Intelligence , Intelligent Systems , Artificial Intelligence , National University , Autonomous Systems , Assistive Robotics , Adata Fusion , Data Mining , Information Retrieval , Decision Support ,

Autonomous Surveillance of Infants' Needs Using CNN Model for Audio Cry Classification

Infants portray suggestive unique cries while sick, having belly pain, discomfort, tiredness, attention
and desire for a change of diapers among other needs. There exists limited knowledge in accessing
the infants’ needs as they only relay
information through suggestive cries. Many teenagers tend to give birth at an early
age, thereby exposing them to be the key monitors of their own babies. They
tend not to have sufficient skills in monitoring the infant’s dire needs, more so during the early stages of infant development.
Artificial intelligence has shown promising efficient predictive analytics
from supervised, and unsupervised to reinforcement learning models. This study, therefore, seeks to develop an android app that could be used to discriminate
the infant audio cries by leveraging the strength of convolution neural networks
as a classifier model. Audio analytics from many kinds of literature is an untapped area
by researchers as it’s ....

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