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AI, Volume 1, Issue 2

June 2020 - 15 articles

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Articles (15)

  • Article
  • Open Access
67 Citations
14,385 Views
17 Pages

24 June 2020

Pest management is among the most important activities in a farm. Monitoring all different species visually may not be effective, especially in large properties. Accordingly, considerable research effort has been spent towards the development of effe...

  • Article
  • Open Access
8 Citations
4,916 Views
13 Pages

Enhanced Hyperbox Classifier Model for Nanomaterial Discovery

  • Jose Isagani B. Janairo,
  • Kathleen B. Aviso,
  • Michael Angelo B. Promentilla and
  • Raymond R. Tan

17 June 2020

Machine learning tools can be applied to peptide-mediated biomineralization, which is an emerging biomimetic technique of creating functional nanomaterials. In particular, they can be used for the discovery of biomineralization peptides, which curren...

  • Article
  • Open Access
5 Citations
8,299 Views
13 Pages

15 June 2020

Learning to maintain postural balance while standing requires a significant, fine coordination effort between the neuromuscular system and the sensory system. It is one of the key contributing factors towards fall prevention, especially in the older...

  • Article
  • Open Access
6 Citations
4,803 Views
10 Pages

Artificial Intelligence Algorithms for Discovering New Active Compounds Targeting TRPA1 Pain Receptors

  • Dragos Paul Mihai,
  • Cosmin Trif,
  • Gheorghe Stancov,
  • Denise Radulescu and
  • George Mihai Nitulescu

11 June 2020

Transient receptor potential ankyrin 1 (TRPA1) is a ligand-gated calcium channel activated by cold temperatures and by a plethora of electrophilic environmental irritants (allicin, acrolein, mustard-oil) and endogenously oxidized lipids (15-deoxy-∆12...

  • Article
  • Open Access
15 Citations
5,032 Views
13 Pages

7 June 2020

In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressiv...

  • Article
  • Open Access
1 Citations
4,887 Views
21 Pages

26 May 2020

In the field of machine learning, an ensemble approach is often utilized as an effective means of improving on the accuracy of multiple weak base classifiers. A concern associated with these ensemble algorithms is that they can suffer from the Curse...

  • Article
  • Open Access
61 Citations
9,610 Views
13 Pages

Carrot Yield Mapping: A Precision Agriculture Approach Based on Machine Learning

  • Marcelo Chan Fu Wei,
  • Leonardo Felipe Maldaner,
  • Pedro Medeiros Netto Ottoni and
  • José Paulo Molin

23 May 2020

Carrot yield maps are an essential tool in supporting decision makers in improving their agricultural practices, but they are unconventional and not easy to obtain. The objective was to develop a method to generate a carrot yield map applying a rando...

  • Article
  • Open Access
11 Citations
5,083 Views
11 Pages

18 May 2020

Deep learning architectures like Convolutional Neural Networks (CNNs) are quickly becoming the standard for detecting and counting objects in digital images. However, most of the experiments found in the literature train and test the neural networks...

  • Article
  • Open Access
2 Citations
6,761 Views
20 Pages

Image Collection Summarization Method Based on Semantic Hierarchies

  • Zahra Riahi Samani and
  • Mohsen Ebrahimi Moghaddam

18 May 2020

The size of internet image collections is increasing drastically. As a result, new techniques are required to facilitate users in browsing, navigation, and summarization of these large volume collections. Image collection summarization methods presen...

  • Viewpoint
  • Open Access
29 Citations
13,239 Views
6 Pages

13 May 2020

Artificial intelligence (AI), like many revolutionary technologies in human history, will have a profound impact on societies. From this viewpoint, we analyze the combined effects of AI to raise important questions about the future form and function...

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AI - ISSN 2673-2688