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2021 Index IEEE Transactions on Artificial Intelligence Vol. 2

2021 IEEE Transactions on Artificial Intelligence  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Gupta, A., +, TAI Aug. 2021 362-371 Estimation Deep Neural Network Approach in EMG-Based Force Estimation for Human-Robot Interaction.  ...  ., +, TAI Dec. 2021 460-475 D A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Fault diagnosis Face recognition An Out-of-Distribution Attack Resistance Approach to Emotion Categoriza-tion  ... 
doi:10.1109/tai.2021.3138017 fatcat:ia5kk2h32zglzap5ngyajxhtay

A Systematic Literature Review of Cutting Tool Wear Monitoring in Turning by Using Artificial Intelligence Techniques

Lorenzo Colantonio, Lucas Equeter, Pierre Dehombreux, François Ducobu
2021 Machines  
Due to the scope of different artificial intelligence approaches, having a holistic view of the state of the art on this subject is complex, in part due to a lack of recent comprehensive reviews.  ...  Machine (SVM), Self-Organizing Map (SOM), Hidden Markov Model (HMM), and Convolutional Neural Network (CNN).  ...  This is achieved by computing the remaining useful life (RUL) or a prediction of VBB at a future time (generally called “t + 1”).  ... 
doi:10.3390/machines9120351 fatcat:rpvai6pcdbdxhjracyrrbgusci

Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence [chapter]

Albert Efimov
2020 Lecture Notes in Computer Science  
Therefore, he simplified the model by reducing it to a machine resembling a communicating person with "suitable branches of thought" as A. Turing put it [3] .  ...  It is, therefore, sensible to factor in new requirements for AI (artificial intelligence) maturity assessment when approaching the Turing test.  ...  This approach breaks the walls between the areas and makes AI more useful and robust for real life applications as well as useful for human-to-machine interactions.  ... 
doi:10.1007/978-3-030-52152-3_9 fatcat:44xgu5qaj5ft7ffjqvz3v25sh4

Deep Learning Approach for Customer Records Prediction for Future Products Issues

Sriramakrishnan Chandrasekaran
2019 Journal of Computer and Communications  
The model consists of different approaches, and based on the priority and the requirement, we need to create a model, and this article is dealing with the prediction related to bank customers and their  ...  Even this kind of machine learning and deep learning applications must be implemented in real life applications to make simpler life of the human [2].  ...  Introduction Machine learning poses a unique role in science and technology and remains us that we have to achieve lot more in the technology development which makes the life simpler day to day.  ... 
doi:10.4236/jcc.2019.73005 fatcat:h4742rmu4bgw7hmttvrqymlyee

Post-Selections in AI and How to Avoid Them [article]

Juyang Weng
2021 arXiv   pre-print
Neural network based Artificial Intelligence (AI) has reported increasing scales in experiments.  ...  (due to a "big data" flaw), (2) a training experience and (3) a limited amount of computational resources.  ...  The task-nonspecific approach typically uses a neural network to learn because the need to learn vector mapping function f (z, x) = z .  ... 
arXiv:2106.13233v2 fatcat:iamjyd4purgtlbdaqdymajbseu

Techniques for Apply Predictive Maintenance and Remaining Useful Life: A Systematic Mapping Study

Begüm AY TÜRE, Akhan AKBULUT, Abdül Halim ZAİM
2021 Bilecik şeyh edebali üniversİtesi fen bilimleri dergisi  
The aim of our systematic mapping study is to determine which techniques and methods are used in the areas of predictive maintenance and remaining useful life.  ...  In this study, we have collected 199 articles on predictive maintenance and remaining useful life.  ...  RUL estimation is a process that uses estimation methods to predict the future performance of the machines or equipment and obtain the remaining life time before the machine loses its ability to operate  ... 
doi:10.35193/bseufbd.900214 fatcat:st7bhvd54bc3fkftauv4wwrhni

Integral biomathics: A post-Newtonian view into the logos of bios

Plamen L. Simeonov
2010 Progress in Biophysics and Molecular Biology  
This work is an attempt for a state-of-the-art survey of natural and life sciences with the goal to define the scope and address the central questions of an original research program.  ...  It is focused on the phenomena of emergence, adaptive dynamics and evolution of self-assembling, self-organizing, self-maintaining and self-replicating biosynthetic systems viewed from a newly-arranged  ...  This can be realized by taking out the restrictions placed by Newtonian mechanics and the Turing Machine model to a degree that allows us to reconcile traditional Turing based (incl.  ... 
doi:10.1016/j.pbiomolbio.2010.01.005 pmid:20146929 fatcat:ukagr4ftyjaqvknyjorvewxavm

Estimating Algorithmic Information Using Quantum Computing for Genomics Applications

Aritra Sarkar, Zaid Al-Ars, Koen Bertels
2021 Applied Sciences  
The unstructured output data and the computational irreducibility of Turing machines make this algorithm impossible to approximate using heuristics.  ...  In this research, we present a quantum computing framework using the circuit model, for estimating algorithmic information metrics.  ...  Analysis Using the QEAIT Framework Estimating the algorithmic probability using the CTM requires counting the number of Turing machines that generate a particular output and evolves to a specific state  ... 
doi:10.3390/app11062696 fatcat:2qxlge24avgm3n6eu3ww7bqava

Computational Foundations of Natural Intelligence [article]

Marcel van Gerven
2017 bioRxiv   pre-print
Subsequently, I concentrate on the use of artificial neural networks as a framework for modeling cognitive processes.  ...  This paper ends by outlining some of the challenges that remain to fulfill the promise of machines that show human-like intelligence.  ...  I would like to thank Nadine Dijkstra, Andrew Reid and Katja Seeliger for their useful comments on a previous version of this manuscript.  ... 
doi:10.1101/166785 fatcat:n347rhnrards7oz352nkuscjb4

Ontology, neural networks, and the social sciences

David Strohmaier
2020 Synthese  
AbstractThe ontology of social objects and facts remains a field of continued controversy.  ...  That is, researchers can let the neural networks select which features of the data to use for internal representation instead of imposing their preconceptions.  ...  One should keep in mind, however, that these results do not show that it is feasible to train a neural network to approximate any function or Turing machine (cf.  ... 
doi:10.1007/s11229-020-03002-6 fatcat:k2ldkr6kxjesvhoupu3alb4b2q

Evaluating Performance of Spintronics-Based Spiking Neural Network Chips using Parallel Discrete Event Simulation

Elkin Cruz-Camacho, Siyuan Qian, Ankit Shukla, Neil McGlohon, Shaloo Rakheja, Christopher D. Carothers
2022 SIGSIM Conference on Principles of Advanced Discrete Simulation  
The benchmarking framework allows us to obtain quantitative metrics on the throughput and energy of spintronics-based neuromorphic computing and compare these against standard CMOS-based approaches.  ...  We show that Doryta obtains over 400× speedup using 1,280 CPU cores when tested on a convolutional, sparse, neural architecture.  ...  ACKNOWLEDGMENTS This material is based on research sponsored by Air Force Research Laboratory under agreement number FA8750-21-1-1010. The U.S.  ... 
doi:10.1145/3518997.3531025 fatcat:7da5e3nwlncw5gbdejimaceiiy

A Hybrid Approach for Feature Selection in Data Mining Modeling of Credit Scoring

Galyna Chornous, Kostiantyn Pysanets, Nataliia Yakovenko
2020 International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications  
The study shows processes of data pre-processing, feature creation and feature selection that can be applicable in real-life business situations for binary classification problems by using nodes from IBM  ...  Proposed hybrid model comparing to expert judgmental approach performs in harder explanation but shows better accuracy and flexibility of factors selection which is advantage in fast changing market.  ...  The wrapper approach uses a machine-learning algorithm to measure the set goodness of selected features.  ... 
dblp:conf/icteri/ChornousPY20 fatcat:4ckfzqbegfev3aua642qge3d5y

Data-Driven Methods for Battery SOH Estimation: Survey and a Critical Analysis

Tsuyoshi Oji, Yanglin Zhou, Song Ci, Feiyu Kang, Xi Chen, Xiulan Liu
2021 IEEE Access  
RNN Recurrent Neural Netwokr EVs Electric Vehicles RUL Remaining Useful Life FFNN Feed Forward Neural Network RVM Relevance Vector Machine GBR Gradient Boosted Regression SampEn Sample Entropy  ...  Saha et al. employed Autoregressive Integrated Moving Average (ARIMA), EKF, Particle Filter (PF), and Relevance Vector Machine (RVM) to estimate the remaining useful life (RUL) for LIBs [12] .  ...  .: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS the future, more explorations are needed by comparing the estimation inputs to provide insights into designs.  ... 
doi:10.1109/access.2021.3111927 fatcat:2zxoexwa3beg5iqtk5uo3rlevu

The Evolution of Artificial Intelligence and the Possibility of its Application in Cyber Games

D. Yu. Eliseeva, A. Yu. Fedosov, D. V. Agaltsova, O. L. Mnatsakanyan, K. K. Kuchmezov
2020 Revista Amazonía investiga  
life of society.  ...  Artificial intelligence, as a separate field of research, is currently experiencing a boom - new methods of machine learning and hardware are emerging and improving, and the results achieved change the  ...  that people use in future in various life situations.  ... 
doi:10.34069/ai/2020.28.04.15 fatcat:gwnma2shnvcajnpt3ugihl6sa4

Computational Foundations of Natural Intelligence

Marcel van Gerven
2017 Frontiers in Computational Neuroscience  
Subsequently, I concentrate on the use of artificial neural networks as a framework for modeling cognitive processes.  ...  This paper ends by outlining some of the challenges that remain to fulfill the promise of machines that show human-like intelligence.  ...  Figure 4 shows an example of a breeder pattern which produces Gosper guns in the Game of Life. Gosper guns have been used to prove that the game of life is Turing complete (Gardner, 2001) .  ... 
doi:10.3389/fncom.2017.00112 pmid:29375355 pmcid:PMC5770642 fatcat:msvy2ut7dvcvpinop2uqvldtfu
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