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Editorial Científicos de alto nivel de muchos países se han unido para satisfacer la necesidad de una revista de investigación de acceso abierto que se centre explícitamente en la agricultura, la condición de la seguridad alimentaria y los vínculos críticos entre estos temas.
Madkour Magdy +2 more
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ERWPM-MANET: Evaluation of Radio Wave Propagation Models in Mobile Ad-hoc Network by using Distance Scenario [PDF]
Mobile Ad-hoc Networks (MANETs) are a kind of networks comprised of nodes which are mobile from place to place in nature, hence the name is MANET. Being an ad-hoc network, it does not need a centralised control infrastructure. Along with the mobile nodes,
Altaf HUSSAIN
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Efficient Content Based Video Retrieval System by Applying AlexNet on Key Frames
The video retrieval system refers to the task of retrieving the most relevant video collection, given a user query. By applying some feature extraction models the contents of the video can be extracted.
Altaf Hussain +3 more
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Agriculture Loses Its Uniqueness [PDF]
Some time ago a friend asked me, "What is the most important event that has happened in agriculture during your lifetime?" I put him off for a month while I reflected on this provocative question. Then I told him I had an answer which would take me forty minutes to deliver.
Paarlberg, Don, Paarlberg, Don
openaire +3 more sources
In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition.
Imran Uddin +6 more
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This study proposes an optimized context-based Gustafson Kessel (CGK)-based fuzzy granular model based on the generation of rational information granules and an optimized CGK-based fuzzy granular model with the aggregated structure.
Chan-Uk Yeom, Keun-Chang Kwak
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Clustering is the unsupervised machine learning process that group data objects into clusters such that objects within the same cluster are highly similar to one another.
Zahid Rahman +3 more
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Image denoising is a vital pre-processing phase, used to refine the image quality and make it more informative. Many image-denoising algorithms have been proposed with their own pros and cons.
Anwar Shah +6 more
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A computational classification method of breast cancer images using the VGGNet model
Cancer is one of the most prevalent diseases worldwide. The most prevalent condition in women when aberrant cells develop out of control is breast cancer. Breast cancer detection and classification are exceedingly difficult tasks.
Abdullah Khan +5 more
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Classification is a common problem in various fields of life, and the key challenging task in data mining. The primary objective of the classification process is to classify the given dataset in a defined class label for all data.
Abdullah Khan +7 more
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