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A novel hybrid approach for a content-based image retrieval using feature fusion
The multimedia content generated by devices and image processing techniques requires
high computation costs to retrieve images similar to the user's query from the database. An …
high computation costs to retrieve images similar to the user's query from the database. An …
Analysis of lung cancer risk factors from medical records in Ethiopia using machine learning
Cancer is a broad term that refers to a wide range of diseases that can affect any part of the
human body. To minimize the number of cancer deaths and to prepare an appropriate …
human body. To minimize the number of cancer deaths and to prepare an appropriate …
Image Classification Based on Light Convolutional Neural Network Using Pulse Couple Neural Network
MA Rafidison, HM Ramafiarisona… - Computational …, 2023 - Wiley Online Library
Recently, most image classification studies solicit the intervention of convolutional neural
networks because these DL‐based classification methods generally outperform other …
networks because these DL‐based classification methods generally outperform other …
Neural networks contribution in face mask detection to reduce the spread of COVID-19
MA Rafidison, AH Rakotomihamina… - Multimedia Tools and …, 2023 - Springer
In front of COVID-19 propagation, we can protect our self by taking precautionary measures
such as wearing face masks. It may be mandatory in particular public place although some …
such as wearing face masks. It may be mandatory in particular public place although some …
Cricket videos summary generation using a novel convolutional neural network
S Sikandar, R Mahmum, N Akbar - 2022 Mohammad Ali **nah …, 2022 - ieeexplore.ieee.org
Video is the combination of frames, many sequences of images known as frames are
grouped together to form a video. The exponential growth of video data requires constant …
grouped together to form a video. The exponential growth of video data requires constant …
Fruit detection and classification using computer vision and machine learning techniques
V Zárate, E González… - 2023 IEEE 32nd …, 2023 - ieeexplore.ieee.org
Within the recognition, classification, and determination of the quality of the fruits, the
methods to process the information and the observed characteristics acquire importance …
methods to process the information and the observed characteristics acquire importance …
A player-specific framework for cricket highlights generation using deep convolutional neural networks
Automatic ways to generate video summarization is a key technique to manage huge video
content nowadays. The aim of video summaries is to provide important information in less …
content nowadays. The aim of video summaries is to provide important information in less …
Non-invasive monitoring: panthera onca recognition based on image processing
E González… - 2022 IEEE 40th Central …, 2022 - ieeexplore.ieee.org
Currently, Panama has projects to monitor endangered species such as the jaguar; for
which they have been mainly using camera traps. These projects generate a large number …
which they have been mainly using camera traps. These projects generate a large number …
Intervention of light convolutional neural network in document survey form processing
MA Rafidison, AH Rakotomihamina… - Multimedia Tools and …, 2023 - Springer
Public survey is popular in different domain to have a feedback from service users in the aim
to improve the quality of service provided or to figure out what they think. In general, the data …
to improve the quality of service provided or to figure out what they think. In general, the data …
An Artificial Intelligence Tool for the Selection of Delay Analysis Technique in Construction
MA Farouk - 2023 - search.proquest.com
The increasing complexity and magnitude of projects impose greater impact of delays on
stakeholders. Construction delays are a major source of disputes in construction projects …
stakeholders. Construction delays are a major source of disputes in construction projects …