Filters








2,702 Hits in 4.7 sec

Application of Improved Naive Bayesian-CNN Classification Algorithm in Sandstorm Prediction in Inner Mongolia

Li Tiancheng, Ren Qing-dao-er-ji, Qiu Ying
2019 Advances in Meteorology  
Experimental results showed that the prediction accuracy of the sandstorm prediction model based on INB-CNN classification algorithm is higher than that of others and the model can better reflect the law  ...  algorithm had the greatest success in predicting the occurrence of sandstorms.  ...  Acknowledgments e authors thank their mentor Ren Qing-dao-er-ji for his guidance and help and also thank Inner Mongolia University of Technology for its good research environment. is work was financially  ... 
doi:10.1155/2019/5176576 fatcat:zwgjg7izn5ddppdtbh26447gea

Towards an Machine Learning-based Edge Computing Oriented Monitoring System for the Desert Border Surveillance Use Case

Khalifa Bellazi, Rodrigo Marino, Jose M. Lanza-Gutierrez., Teresa Riesgo
2020 IEEE Access  
Both proposals are based on using Bag-of-Features for feature extraction and a supervised algorithm for classification, both differing in segmenting the InfraRed image in regions of interest or working  ...  This paper focuses on an Internet of Things oriented surveillance system to be deployed in the Sahara Desert, which is composed of many unattended fixed platforms, where the nodes in the edge have a Forward  ...  Azrouk Abdel Latif, who recently served as Cultural Attaché at the Embassy of Libya in Madrid, providing administrative and financial support that greatly helped the research.  ... 
doi:10.1109/access.2020.3042699 fatcat:rkbyyvghrra3ziikq5sdztamny

Genomic evidence for intraspecific hybridization in a clonal and extremely halotolerant yeast

Cene Gostinčar, Jason E. Stajich, Jerneja Zupančič, Polona Zalar, Nina Gunde-Cimerman
2018 BMC Genomics  
Results also support additional hybridization events in the evolutionary history of investigated strains, however exchange of genetic material in the species otherwise appears to be rare.  ...  The reported data and the first identification of haploid H. werneckii strains establish this species as a good model for studying the effects of ploidy and hybridization in an extremotolerant system unperturbed  ...  In all cases the genomes and predicted proteomes contained more than 97% of identifiable fungal Benchmarking Universal Single-Copy Ortholog genes/ proteins; in genomes C and D all of them were singlecopy  ... 
doi:10.1186/s12864-018-4751-5 pmid:29764372 pmcid:PMC5952469 fatcat:ynttegc55jeu3dt66cmamgkcim

Research on Intelligent Identification of Rock Types Based on Faster R-CNN Method

Xiaobo Liu, Huaiyuan Wang, Hongdi Jing, Anlin Shao, Liancheng Wang
2020 IEEE Access  
In order to realize accurate and intelligent identification of the surrounding rock surface under complex lithological conditions, the multi-type rocks hybrid images are also identified.  ...  It has broad application prospects in rock mass stability evaluation and rock classification in underground mining.  ...  Based on computer vision and machine learning techniques, Thompson and Niekum achieved segmentation, detection, and classification of Atacama desert rocks [1] , [2] .  ... 
doi:10.1109/access.2020.2968515 fatcat:7vagupxrxzfkpd3tiwgn2fqvbe

A Hybrid Approach of Combining Random Forest with Texture Analysis and VDVI for Desert Vegetation Mapping Based on UAV RGB Data

Huoyan Zhou, Liyong Fu, Ram P. Sharma, Yuancai Lei, Jinping Guo
2021 Remote Sensing  
In mapping desert vegetation, there are some weaknesses by using traditional digital classification algorithms from high resolution data.  ...  In this study, a method of mapping the desert rare vegetation was developed based on the pixel classifiers and use of Random Forest (RF) algorithm with the feature of VDVI and texture.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13101891 fatcat:on32jinlwrb33o7oshvl77erga

Mining of Egyptian missions data for shaping new paradigms

Laila Mohamed ElFangary
2010 Education and Information Technologies : Official Journal of the IFIP technical committee on Education  
This paper reviews data mining applications of students' databases in educational institutions. Data mining techniques that predict and improve students ' retention rates and success is presented.  ...  Moreover, the analysis revealed the effect of the marital status on the mission of students in foreign countries. A visual display using a chart was used to express the information to business users.  ...  Naive Bayes classifier, Baysian Belief Network, C4.5 algorithm and RIPPER algorithm were used to compare hybrid and single classification methods.  ... 
doi:10.1007/s10639-010-9124-x fatcat:ponxysnmm5bjpdinvy2ykua7ja

A prototype model for continuous agriculture field monitoring and assessment

Ratnmala Bhimanpallewar, Manda Rama Narasingarao
2018 International Journal of Engineering & Technology  
Government of India has developed centers to train and provide the information to farmers but everyonedon't approach to it.  ...  Outcome of this monitoring system can be used to identify particular crop suitability, so that suitable crop can be adopted.  ...  So for semi desert areas hybrid classification approach for LU/LC classification is used [6] . It gives high accuracy for areas where spectral classes of images are inseparable. Ana Pérez-Hoyos et.al  ... 
doi:10.14419/ijet.v7i2.7.10288 fatcat:pov6jgs2vng3vacufob2uwheqe

Testing Taxon Tenacity of Tortoises: evidence for a geographical selection gradient at a secondary contact zone

Taylor Edwards, Kristin H. Berry, Richard D. Inman, Todd C. Esque, Kenneth E. Nussear, Cristina A. Jones, Melanie Culver
2015 Ecology and Evolution  
We examined a secondary contact zone between two species of desert tortoise, Gopherus agassizii and G. morafkai.  ...  We performed multilocus genetic clustering analyses and used multiple statistical methods to detect levels of hybridization.  ...  We are grateful for the financial support of the U.S Geological Survey. Additional support came from Arizona Research Laboratories.  ... 
doi:10.1002/ece3.1500 pmid:26045959 pmcid:PMC4449762 fatcat:bpd3gxmrybhajbakd3kvnhb674

Deep Neural Networks for Predicting Solar Radiation at Hail Region, Saudi Arabia

S. Boubaker, M. Benghanem, A. Mellit, A. Lefza, A. Kahouli, L. Kolsi
2021 IEEE Access  
the prediction models.  ...  In this paper, various deep neural networks (DNN) models for one day-ahead prediction of GHI at Hail city (Saudi Arabia) are developed and investigated.  ...  ACKNOWLEDGMENT The authors extend their appreciation to the Deputy of Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number RDO-2004.  ... 
doi:10.1109/access.2021.3062205 fatcat:ezlhkwrk2bckrm2obxnprayk4i

Sentiment Analysis-Enhancements and Applications

Aayush Gupta, School of Computer Science and Engineering, VIT Vellore, India., Anant Gandhi, Saarthak Agarwal, Shamin Chokshi, Saravanakumar K, School of Computer Science and Engineering, VIT Vellore, India., School of Computer Science and Engineering, VIT Vellore, India,, School of Computer Science and Engineering, VIT Vellore, India, School of Information Technology and Engineering, VIT Vellore, India
2021 International journal of recent technology and engineering  
The concept of Natural Language Processing that deals with problems of identifying the sentiment from the voice or text of a speaker or writer and then use that analysis further for making predictions,  ...  So as to enhance the accuracy of sentiment analysis/classification, it is imperative to appropriately recognize the semantic connections between the various words and phrases that are describing the subject  ...  [62] [63] Application This algorithm can be used for many prediction purposes like prediction of stock market values of shares and commodities.  ... 
doi:10.35940/ijrte.a1409.1110421 fatcat:7uxttogfzvarporgjwtlvjqciy

A Winnow-Based Approach to Context-Sensitive Spelling Correction [article]

Andrew R. Golding, Dan Roth
1998 arXiv   pre-print
We evaluate our algorithm, WinSpell, by comparing it against BaySpell, a statistics-based method representing the state of the art for this task.  ...  We present an algorithm combining variants of Winnow and weighted-majority voting, and apply it to a problem in the aforementioned class: context-sensitive spelling correction.  ...  The second author's research was supported by the Feldman Foundation and a grant from the Israeli Ministry of Science and the Arts; it was done partly while at Harvard University supported by NSF grant  ... 
arXiv:cs/9811003v1 fatcat:ydrkncrgxbfi3hsxvxxrpykqiu

Driver Drowsiness Detection Methods: A Comprehensive survey

D. Venkata Subbaiah, Prof. Prasad Reddy P.V.G.D, Prof.K. Venkata Rao
2019 International Journal of Research in Advent Technology  
Drowsy driving is one of the main causes for accidents on roads which leads to death. So, detection of fatigue of the driver and indicating it is an active research area.  ...  Most of the traditional methods followed either physiological, vehicle or behavioral based methods for drowsiness detection techniques.  ...  It's recommended to use feature extraction followed by classification as a hybrid approach to obtain high accuracy of drowsiness detection.  ... 
doi:10.32622/ijrat.73201918 fatcat:ro7u3qn6vjcbziermfc4thktfm

Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System

Mehrdad Davarifar, Abdelhamid Rabhi, Ahmed El Hajjaji
2013 Energy and Power Engineering  
For that, simplified hybrid model of photovoltaic panel in MATLAB environment is used.  ...  Investigation and classification of each type of faults is down and the effects of the faults are illustrated in this paper. Flash test are applied to improved electrical model.  ...  For that simplified hybrid model of PV panel in MATLAB environment is proposed in third part [12] [13] [14] [15] .  ... 
doi:10.4236/epe.2013.54b045 fatcat:v6btb7nl7fgm7g73wcode3ga4y

Predictive pollen-based biome modeling using machine learning

Magdalena K. Sobol, Sarah A. Finkelstein, Budiman Minasny
2018 PLoS ONE  
To test the applicability of traditional and machine-learning based classification models for the task of biome prediction from high dimensional modern pollen data, we train a total of eight classification  ...  This paper investigates suitability of supervised machine learning classification methods for classification of biomes using pollen datasets.  ...  Special thanks to the participants of "writing group R": A. Williamson, L. Drake, M.A. Prevost, K. Jacobson, and J. Doner for moral support during the writing the writing stage of this manuscript.  ... 
doi:10.1371/journal.pone.0202214 pmid:30138366 fatcat:wnqkmoo4mjeqvl5v43eyus35l4

Experiments on Stereo Visual Odometry in Feature-Less Volcanic Fields [chapter]

Kyohei Otsu, Masatsugu Otsuki, Takashi Kubota
2015 Springer Tracts in Advanced Robotics  
There are several technical problems in untextured terrain including the diversity of terrain appearance, the lack of welltracked features on surfaces, and the limited computational resources of onboard  ...  Field experiments have been conducted in volcanic fields for validation and evaluation of the system effectiveness and efficiency.  ...  Algorithm Summary A summary of the complete algorithm is given as follows: 1. Capture images with a stereo camera rig. 2. Apply terrain classification to select the appropriate detector. 3.  ... 
doi:10.1007/978-3-319-07488-7_25 fatcat:ooexun3ncrfx7op6gafrp4ad74
« Previous Showing results 1 — 15 out of 2,702 results