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Computational, AI and IT Solutions Helping Agriculture

Agriculture
This Special Issue, entitled “Computational, AI and IT Solutions Helping Agriculture”, brought together 17 publications, including 16 original research papers [...]
Dimitre D. Dimitrov
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ERWPM-MANET: Evaluation of Radio Wave Propagation Models in Mobile Ad-hoc Network by using Distance Scenario [PDF]

Revista Română de Informatică și Automatică, 2022
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
doaj   +1 more source

Efficient Content Based Video Retrieval System by Applying AlexNet on Key Frames

Advances in Distributed Computing and Artificial Intelligence Journal, 2022
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, Mehtab Ahmad, Tariq Hussain, Ijaz Ullah   +3 more
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Benchmark Pashto Handwritten Character Dataset and Pashto Object Character Recognition (OCR) Using Deep Neural Network with Rule Activation Function

Complexity, 2021
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, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan, Mahwish Kundi   +6 more
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A Design and Optimization of a CGK-Based Fuzzy Granular Model Based on the Generation of Rational Information Granules

Applied Sciences, 2022
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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Urdu News Clustering Using K-Mean Algorithm On The Basis Of Jaccard Coefficient And Dice Coefficient Similarity

Advances in Distributed Computing and Artificial Intelligence Journal, 2022
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, Altaf Hussain, Hussain Shah, Muhammad Arshad   +3 more
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Comparative analysis of median filter and its variants for removal of impulse noise from gray scale images

Journal of King Saud University: Computer and Information Sciences, 2022
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, Javed Iqbal Bangash, Abdul Waheed Khan, Imran Ahmed, Abdullah Khan, Asfandyar Khan, Arshad Khan   +6 more
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A computational classification method of breast cancer images using the VGGNet model

Frontiers in Computational Neuroscience, 2022
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, Asfandyar Khan, Muneeb Ullah, Muhammad Mansoor Alam, Javed Iqbal Bangash, Mazliham Mohd Suud   +5 more
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Optimizing connection weights of functional link neural network using APSO algorithm for medical data classification

Journal of King Saud University: Computer and Information Sciences, 2022
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, Junaid Bukhari, Javed Iqbal Bangash, Asfandyar Khan, Muhammad Imran, Muhammad Asim, Muhammad Ishaq, Arshad Khan   +7 more
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Biostimulants in agriculture [PDF]

Frontiers in Plant Science, 2015
Biostimulants, which may be derived from a wide range of natural or synthetic processes, are now widely used in agriculture and yet the mode of action of these materials is not well understood. On the basis of available literature, and based upon the diversity of biostimulant responses highlighted in this focus issue, we hypothesize that biostimulants ...
Brown, Patrick, Saa, Sebastian
openaire   +5 more sources