Soil Moisture Retrieval Using Quad-Polarized SAR Data from Radar Imaging Satellite 1 (RISAT1) Through Artificial Intelligence-Based Soft Computing Techniques

2019 ◽  
Vol 47 (10) ◽  
pp. 1671-1682
Author(s):  
Manali Pal ◽  
Rajib Maity
Keyword(s):  
Artificial Intelligence ◽  
Soil Moisture ◽  
Soft Computing ◽  
Radar Imaging ◽  
Soft Computing Techniques ◽  
Sar Data

scholarly journals A Survey of the Various Steganography Techniques Using Soft Computing Techniques

2021 ◽  
Vol 9 (VII) ◽  
pp. 1616-1619
Author(s):  
Er. Savita Devi
Keyword(s):  
Artificial Intelligence ◽  
Soft Computing ◽  
Secret Data ◽  
Artificial Intelligence Techniques ◽  
Individual Privacy ◽  
Soft Computing Techniques

Steganography is the method of storing information by hiding that information’s existence. It can be used to carry out hidden exchanges and hence can enhance individual privacy. Steganography aims at communicating the secret data in an appropriate multimedia carrier. In this paper, the various techniques used to perform Steganography in a secure way are studied and reviewed. In this the various Artificial Intelligence techniques used for steganography are reviewed and analyzed.

scholarly journals Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Katarzyna Pentoś ◽  
Krzysztof Pieczarka ◽  
Krzysztof Lejman
Keyword(s):  
Neural Networks ◽  
Soil Moisture ◽  
Low Power ◽  
Soft Computing ◽  
Soil Compaction ◽  
Traction Force ◽  
Soil Conditions ◽  
Vertical Load ◽  
Soft Computing Techniques ◽  
Tractive Efficiency

Considering the fuel consumption and soil compaction, optimization of the performance of tractors is crucial for modern agricultural practices. The tractive performance is influenced by many factors, making it difficult to be modeled. In this work, the traction force and tractive efficiency of a low-power tractor, as affected by soil coefficient, vertical load, horizontal deformation, soil compaction, and soil moisture, were studied. The optimal work of a tractor is a compromise between the maximum traction force and the maximum tractive efficiency. Optimizing these factors is complex and requires accurate models. To this end, the performances of soft computing approaches, including neural networks, genetic algorithms, and adaptive network fuzzy inference system, were evaluated. The optimal performance was realized by neural networks trained by backpropagation as well as backpropagation combined with a genetic algorithm, with a coefficient of determination of 0.955 for the traction force and 0.954 for the tractive efficiency. Based on models with the best accuracy, a sensitivity analysis was performed. The results showed that the traction performance is mainly influenced by the soil type; nevertheless, the vertical load and soil moisture also exhibited a relatively strong influence.

scholarly journals An Efficient Soft Computing Approach for Text Identification using Artificial Intelligence Model

2021 ◽  
Vol 9 (VI) ◽  
pp. 3860-3866
Author(s):  
Shashi Bhushan
Keyword(s):  
Artificial Intelligence ◽  
Soft Computing ◽  
Feature Vector ◽  
Similar Work ◽  
Input Text ◽  
Proposed Model ◽  
Soft Computing Techniques ◽  
Pos Tagger ◽  
Vector Matrix ◽  
Computing Approach

This paper presents an enhanced system in the field of text identification using Soft computing techniques. The model designed in this work analyzes the blogs or input text and classifies the personality into five major categories; Neuroticism, Extraversion, Openness, Conscientiousness and Agreeableness. The blog or text is first passed through POS tagger then a feature vector matrix is generated according to the attributes of the personality chart. Each column of FVM is calculated in its domain that improves the final result of personality identification. The result of the proposed model is improvement over similar work by other researchers [1, 2, 3].

One-step models for soft computing techniques. Industrial application to image processing in quality assurance process

2015 ◽  
Vol 81 (5-8) ◽  
pp. 771-778 ◽  
Author(s):  
Pascual Noradino Montes Dorantes ◽  
Marco Aurelio Jiménez Gómez ◽  
Gerardo Maximiliano Méndez ◽  
Juan Pablo Nieto González ◽  
Jesús de la Rosa Elizondo
Keyword(s):  
Image Processing ◽  
Quality Assurance ◽  
Soft Computing ◽  
Industrial Application ◽  
Quality Assurance Process ◽  
Soft Computing Techniques ◽  
One Step ◽  
Assurance Process

scholarly journals Forecasting rainfall using soft computing techniques – A case study using India rainfall data

2019 ◽  
Vol 561 ◽  
pp. 012119
Author(s):  
Binoy B Nair ◽  
S Silamparasu ◽  
R Mohnish ◽  
T S Deepak ◽  
M Rahul
Keyword(s):  
Soft Computing ◽  
Rainfall Data ◽  
Soft Computing Techniques
Sign in / Sign up

Export Citation Format

Share Document