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Techniques Comparison for Natural Language Processing

Olena Iosifova, Ievgen Iosifov, Oleksandr Rolik, Volodymyr Sokolov
2020 Zenodo  
This paper is devoted to research and analysis of the most adopted techniques and designs for building and training language models that show a state of the art results.  ...  As a result, the most promising techniques imply pre-training and fine-tuning of a language model, attention-based neural network as a part of model design, and a complex ensemble of multidimensional embedding  ...  They will research the current area in nearest future using the algorithm provided in the current work to choose models and compare obtained results.  ... 
doi:10.5281/zenodo.3895815 fatcat:q5dlx4osqrdkpboknmpa34bxoe

Software Cost Estimation using Fuzzy Logic Technique

Ravneet Preet Singh Bedi, Amardeep Singh
2017 Indian Journal of Science and Technology  
The current research presents a novel method that shows promising results. The results are compared with COCOMO technique and the accuracy level is improved considerably.  ...  Soft computing based techniques such as fuzzy logic outperform traditionally used methods in terms of accuracy of estimation.  ...  Proposed Technique Soft computing is an area of research that deals with real life problems in a more effective way, thus providing more accurate results.  ... 
doi:10.17485/ijst/2015/v8i1/109997 fatcat:afipcv2bvzemnc2bye3m6imulm

Software Cost Estimation using Fuzzy Logic Technique

Ravneet Preet Singh Bedi, Amardeep Singh
2017 Indian Journal of Science and Technology  
The current research presents a novel method that shows promising results. The results are compared with COCOMO technique and the accuracy level is improved considerably.  ...  Soft computing based techniques such as fuzzy logic outperform traditionally used methods in terms of accuracy of estimation.  ...  Proposed Technique Soft computing is an area of research that deals with real life problems in a more effective way, thus providing more accurate results.  ... 
doi:10.17485/ijst/2017/v10i3/109997 fatcat:uqwf5zj5xfg5bhmuj45rrqmuty

GENE PREDICTION TECHNIQUES [article]

TAMEEM HEZAM
2021 figshare.com  
Additionally, an inventory of various soft computing techniques for factor prediction is compiled. Finally, some limitations of the current analysis and future analysis directions area unit presented.  ...  A short description of soft computing techniques, before discussing their application to gene prediction, is then provided.  ...  A review of traditional and computational intelligence technique is presented in [1] . The problem of predicting RNA-coding genes is a promising area of research these days.  ... 
doi:10.6084/m9.figshare.14938374.v1 fatcat:gpblejfmj5a63c4pvzdbgkieu4

A Review of Emotion Recognition Using EEG Data and Machine Learning Techniques

2020 Innovative Systems Design and Engineering  
Using the deep learning techniques, it can be made possible by creating a virtual bot to observe and understand human emotions.  ...  Using AI to help humans with handling their emotions and identifying their stress levels in the current stressful lifestyle will greatly help them manage their lifestyle.  ...  The neural network consists of an input layer, a hidden layer and an output layer. The input layer consists of neurons that receive input stimuli.  ... 
doi:10.7176/isde/11-4-04 fatcat:tle3ex2hgrcn7m3mf2ws6bkcaa

Deepfakes Detection Techniques Using Deep Learning: A Survey

Abdulqader M. Almars
2021 Journal of Computer and Communications  
Deep learning is an effective and useful technique that has been widely applied in a variety of fields, including computer vision, machine vision, and natural language processing.  ...  In addition, we give a thorough analysis of various technologies and their application in deepfakes detection.  ...  In this section, we fist give an overview of the current applications and tools to create deepfake image and videos. Then, we discuss some deep learning detection techniques to overcome this issue.  ... 
doi:10.4236/jcc.2021.95003 fatcat:4zpksmozhrdmjh6e25l2g3jjru

Study and Implementation of Advanced Neuroergonomic Techniques

B.F Momin
2012 Advanced Computing An International Journal  
Research in the area of neuroergonomics has blossomed in recent years with the emergence of noninvasive techniques for monitoring human brain function that can be used to study various aspects of human  ...  --for example, in the use of computers and various other machines at home or in the workplace, and in operating vehicles such as aircraft, cars, trains, and ships.  ...  The EEG inputs described above were target-coded using a one-of-N dummy variable scheme (i.e., low and high difficulty inputs' target outputs were '1, 0' and '0, 1' respectively).  ... 
doi:10.5121/acij.2012.3402 fatcat:ebyni7ailzgeplxaunhdtqyn3y

NEW TECHNIQUES APPLIED IN ECONOMICS. ARTIFICIAL NEURAL NETWORK

Constantin Ilie, Margareta Udrescu
2009 Annals of the University of Oradea: Economic Science  
The present paper has the objective to inform the public regarding the use of new techniques for the modeling, simulate and forecast of system from different field of activity.  ...  One of those techniques is Artificial Neural Network, one of the artificial in  ...  This research showed that an ANN can be a valid tool to discriminate among loan applications.  ... 
doaj:e2470b9d2d7e426b886bb0515d6129d7 fatcat:3z3tdgfubrfnvnjeayt7c4lypi

Pest Detection and Extraction Using Image Processing Techniques

Johnny L. Miranda, Bobby D. Gerardo, Bartolome T. Tanguilig III
2014 International Journal of Computer and Communication Engineering  
This study extends the implementation of different image processing techniques to detect and extract insect pests by establishing an automated detection and extraction system for estimating pest densities  ...  The techniques of image analysis are extensively applied to agricultural science, and it provides maximum protection to crops, which can ultimately lead to better crop management and production.  ...  Real Life Application of Image Processing in the Fields of Agricultural Research Several attempts have been made to build automatic insect identification systems based on image analysis.  ... 
doi:10.7763/ijcce.2014.v3.317 fatcat:45gnwhhs5bauldhcrlnmbehjp4

Brain Tumor Detection Segmentation Techniques

R. Deepa, P. Narendran
2018 International Journal of Trend in Scientific Research and Development  
Computerized brain tumor detection from MRI images is one of the most challenging task in today's contemporary Medical imaging research.  ...  Automatic detection requires brain image most important and challenging aspect of computer aided clinical diagnostic tools.  ...  The output signal is of same data type as the input signal.  ... 
doi:10.31142/ijtsrd9634 fatcat:3wwqzw2bqngfhevxiz35tfj6yu

A Holistic Review of Soft Computing Techniques

Philip O. Omolaye
2017 Applied and Computational Mathematics  
This paper gives an insight on four major consortiums of SC that sprang from the concept of cybernetics, explores and reviews the different techniques, methodologies; application areas and algorithms are  ...  formulated to give an idea on how these computing techniques are applied to create intelligent agents to solve a variety of problems.  ...  Applications of Soft Computing Soft computing which has become one of the promising areas of research has two main advantages: firstly in the area of solving non-linear problems where mathematical techniques  ... 
doi:10.11648/j.acm.20170602.15 fatcat:pfmgraicunfijho23usu3pfn3a

Machine Learning Techniques for 5G and Beyond

Jasneet Kaur, M. Arif Khan, Mohsin Iftikhar, Muhammad Imran, Qazi Emad Ul Haq
2021 IEEE Access  
We conclude the paper with some future applications and research challenges in the area of ML and AI for 6G networks.  ...  This overview paper, presents an up-to-date review of future wireless system concepts such as 6G and role of ML techniques in these future wireless systems.  ...  ACKNOWLEDGMENT The authors would like to thanks for the support provided by the School of Computing and Mathematics at Charles Sturt University, Australia, to conduct this research.  ... 
doi:10.1109/access.2021.3051557 fatcat:hh6twvdiarh3hkepzxg3wwzrgm

Chatbot with Facemask Detection Technique

Lavanya Kesa
2021 International Journal for Research in Applied Science and Engineering Technology  
Given the current COVID-19 situation, it's critical to be informed about the growing number of cases and the many precautions that must be followed.  ...  Using image processing, we will determine if people are wearing their masks or not in this section of our research.  ...  sentiment analysis, voice recognition, geographic information extraction, computer vision, text summarization, information retrieval, computational drug discovery and flaw detection to pursue research  ... 
doi:10.22214/ijraset.2021.35511 fatcat:uvdqnft4tjcyzokpnw6qlwbxqa

Towards Building A Facial Identification System Using Quantum Machine Learning Techniques [article]

Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche, Richard Jiang
2020 arXiv   pre-print
Whilst classical methods of SVM and k-NN commonly used may perform to a good standard, they are often highly complex and take substantial computing power to run effectively.  ...  With the rise of quantum computing boasting large speedups without sacrificing large amounts of much needed performance, we aim to explore the benefits that quantum machine learning techniques can bring  ...  CONFLICT OF INTEREST The authors declare no conflict of interest.  ... 
arXiv:2008.12616v1 fatcat:clbjatfifbc6bbr5tf3byk4dsy

Artificial Intelligence Techniques for Security Vulnerability Prevention [article]

Steve Kommrusch
2019 arXiv   pre-print
We categorize current techniques into 3 groups: vulnerability detection, vulnerability repair, and specification analysis.  ...  Computer security has been a concern for decades and artificial intelligence techniques have been applied to the area for nearly as long.  ...  Using artificial intelligence techniques to prevent vulnerabilities from being introduced is a broad field and warrants an updated survey paper to identify promising avenues of research in this area.  ... 
arXiv:1912.06796v1 fatcat:rhdfn75xfnhdnkpkndcpfe66za
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