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001445865 020__ $$a9783030985318$$q(electronic bk.)
001445865 020__ $$a3030985318$$q(electronic bk.)
001445865 020__ $$z9783030985301
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001445865 0247_ $$a10.1007/978-3-030-98531-8$$2doi
001445865 035__ $$aSP(OCoLC)1310615508
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001445865 049__ $$aISEA
001445865 050_4 $$aQ325.73$$b.I58 2021
001445865 08204 $$a006.31$$223
001445865 1112_ $$aInternational Conference on Deep Learning, Artificial Intelligence and Robotics$$n(3rd :$$d2021).
001445865 24510 $$aProgresses in artificial intelligence & robotics :$$balgorithms & applications : proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2021 /$$cLuigi Troiano, Alfredo Vaccaro, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, editors.
001445865 24630 $$aICDLAIR
001445865 264_1 $$aCham :$$bSpringer,$$c[2022]
001445865 264_4 $$c©2022
001445865 300__ $$a1 online resource :$$billustrations (some color).
001445865 336__ $$atext$$btxt$$2rdacontent
001445865 337__ $$acomputer$$bc$$2rdamedia
001445865 338__ $$aonline resource$$bcr$$2rdacarrier
001445865 4901_ $$aLecture notes in networks and systems ;$$vvolume 441
001445865 500__ $$aConference proceedings.
001445865 500__ $$aIncludes author index.
001445865 5050_ $$aIntro -- Contents -- An Opinion Mining of Text in COVID-19 Issues Along with Comparative Study in ML, BERT &amp -- RNN -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Pre-processing -- 3.3 Training Parameter -- 3.4 RNN Model -- 3.5 BERT Model -- 3.6 Statistical Analysis -- 4 Result and Discussion -- 5 Conclusion and Future Work -- References -- AI-ML Based Smart Online Examination Framework -- 1 Introduction -- 1.1 Facial Recognition and ML -- 2 Literature Survey -- 3 Objectives -- 4 Existing System Architecture -- 5 Proposed System Architecture -- 5.1 Results -- 6 Conclusion -- References -- Spaced Repetition Based Adaptive E-Learning Framework -- 1 Introduction -- 2 Objectives -- 3 Literature Review -- 4 Existing System Architecture -- 5 Proposed Architecture -- 6 Conclusion -- References -- Automation of Supply Chain Management for Healthcare -- 1 Introduction -- 2 Literature Review -- 3 Objectives -- 4 Existing System Architecture -- 5 Proposed System Architecture -- 6 Conclusion -- References -- The Detection, Extraction, and Classification of Human Pose in Alzheimer's Patients -- 1 Introduction -- 2 Proposed Methodology -- 3 Development of the Model -- 4 Results -- 5 Conclusions -- References -- Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19 -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Long-Short Term Memory -- 3.3 LSTM Model Estimation with the Parameters -- 3.4 LSTM Model Analysis -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Leveraging Free-Form Text in Maintenance Logs Through BERT Transfer Learning -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Preprocessing -- 2.2 Dataset Distribution, Augmentation and Splitting -- 2.3 Machine Learning Models.
001445865 5058_ $$a3 Results and Discussion -- 3.1 Performance with and Without Data Augmentation -- 4 Conclusion -- 5 Future Work -- References -- Context-Aware Explanations in Recommender Systems -- 1 Introduction -- 2 Related Works -- 2.1 Context-Aware Recommender Systems (CARSs) -- 2.2 Context-Aware Explanations in Recommender Systems (RSs) -- 3 Our Proposition -- 3.1 Recommendation Method -- 3.2 Experiment Setup -- 3.3 Baselines -- 4 Results of Experiments -- 4.1 Statistics About the Participants and Data Obtained -- 4.2 Observations of Users' Responses -- 5 Conclusions and Perspectives -- References -- Improved Local Binary Pattern for Face Recognition -- 1 Introduction -- 2 Illustration of LBP, HELBP, MBP and HOG Descriptors -- 2.1 Local Binary Pattern (LBP) -- 2.2 Horizontal Elliptical Local Binary Pattern (HELBP) -- 2.3 Median Binary Pattern (MBP) -- 2.4 Histogram of Oriented Gradients (HOG) -- 3 Description of the Proposed Descriptor and Full FR Framework -- 3.1 The Proposed Descriptor Improved Local Binary Pattern (ILBP) -- 3.2 Full FR Framework -- 4 Experiments -- 4.1 Dataset Details -- 4.2 Feature Size Particulars of the Descriptors -- 4.3 Estimation of Recognition Rate -- 4.4 Comparison of RR with Literature Methods -- 5 Conclusions with Future Scope -- References -- Incorporating Dynamic Information into Content-Based Recommender System in Online Learning Environment -- 1 Introduction -- 2 Related Work -- 2.1 Online Learning Environment (OLE) -- 2.2 Dynamic Information -- 2.3 Recommender System (RS) -- 3 Methodology -- 3.1 DCRS Framework -- 3.2 Activity Records -- 3.3 Dynamic Learner Model -- 3.4 Resource Profile -- 3.5 Recommendation -- 4 Discussion:Dynamic Factors Integration in Content-Based Recommender System (CB RS) -- 5 Conclusion -- References -- Towards Personalized Educational Resources Recommendations for Teachers -- 1 Introduction.
001445865 5058_ $$a2 Problem Statement -- 3 Related Work -- 3.1 Educational Data Integration -- 3.2 Educational Ontologies and Ontology-Based Recommender Systems -- 4 Approach Architecture -- 4.1 Ontology-Based Data -- 4.2 Hybrid Recommender Engine -- 5 Discussion -- 6 Conclusion and Perspectives -- References -- DEEC and EDEEC Routing Protocols for Heterogeneous Wireless Sensor Networks: A Brief Comparative Study -- 1 Introduction -- 2 Related Work -- 3 The Network Model -- 3.1 The Energy Model -- 3.2 The Heterogeneous Network Model -- 4 Simulation -- 5 Conclusion -- References -- Towards an Ontology-Based Recommender System for the Vehicle Sales Area -- 1 Introduction -- 2 Related Work -- 3 Ontology-Based Vehicle Recommender System -- 3.1 Needs for Building an Explainable RS in the Vehicle Sales Area -- 3.2 Development of an Ontology-Based Vehicle Recommender System -- 3.3 Data Gathering -- 3.4 Ontology Construction -- 3.5 Semantic Recommendations from Filtering and Reasoning -- 3.6 Recommendation Computation -- 4 Use Case Example -- 5 Conclusion and Perspective -- References -- Dominance Relation Based Ranking Procedure for Automated Reverse Auctions -- 1 Introduction -- 2 Principles of Auction Approach -- 2.1 Negotiation Algorithm -- 2.2 Bidding Process -- 3 Ranking Procedure -- 3.1 Dominance Relation -- 3.2 Partial Scores -- 3.3 Scoring Function -- 3.4 Ranking Function -- 4 Illustrative Example -- 5 Conclusion -- References -- Predicting Business Failure Using Neural Networks: An Empirical Comparison with Statistical Methods and Data Mining Method -- 1 Introduction -- 2 Related Works -- 3 Modelling Methods -- 4 Data Collection and Pre-processing -- 5 Criteria for Comparing the Models -- 6 Results -- 7 Conclusion and Future Directions -- References -- Pandemic Effect on Education System Among University Students -- 1 Introduction -- 2 Review Works.
001445865 5058_ $$a3 Research Methodology -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Data Cleaning -- 3.4 Data Modelling -- 4 Result and Discussion -- 4.1 Confusion Matrix -- 4.2 Classification Report -- 4.3 Accuracy -- 5 Comparative Analysis -- 6 Conclusion and Future Work -- References -- Prediction of Migration Outcome Using Machine Learning -- 1 Introduction -- 2 Review Works -- 3 Research Methodology -- 3.1 Research Subject and Instrumentation -- 3.2 Data Collection Procedure -- 3.3 Data Pre-processing -- 3.4 Attributes and Feature Selection -- 3.5 Algorithm for Predicting Migration Satisfaction -- 3.6 Decision Tree -- 3.7 Random Forest Classifier -- 4 Results -- 5 Experimental Discussion -- 5.1 Descriptive Analysis -- 5.2 Experimental Results -- 6 Conclusion -- References -- Author Index.
001445865 506__ $$aAccess limited to authorized users.
001445865 520__ $$aThis book presents new technologies and applications in deep learning, artificial intelligence and robotics. The field of machine intelligence (MI), unifying robotics and artificial intelligence is experiencing constant growth and change. The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc. This book Progresses in Artificial Intelligence & Robotics : Algorithms & Applications (proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2021 ) introduces key topics from artificial intelligence algorithms and programming organization and explains how they contribute to autonomous capabilities. The book is primarily intended for researchers, students, and engineers who wish to use the applications of artificial intelligence to solve concrete problems. We hope that companies and technology developers also find it interesting to be used in industry.
001445865 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 13, 2022).
001445865 650_0 $$aDeep learning (Machine learning)$$vCongresses.
001445865 650_0 $$aArtificial intelligence$$vCongresses.
001445865 650_0 $$aRobotics$$vCongresses.
001445865 650_6 $$aIntelligence artificielle$$vCongrès.
001445865 650_6 $$aRobotique$$vCongrès.
001445865 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001445865 655_7 $$aConference papers and proceedings.$$2lcgft
001445865 655_7 $$aActes de congrès.$$2rvmgf
001445865 655_0 $$aElectronic books.
001445865 7001_ $$aTroiano, Luigi,$$eeditor.
001445865 7001_ $$aVaccaro, Alfredo,$$eeditor.
001445865 7001_ $$aKesswani, Nishtha,$$eeditor.
001445865 7001_ $$aDíaz Rodriguez, Irene,$$eeditor.
001445865 7001_ $$aBrigui, Imene,$$eeditor.
001445865 77608 $$iPrint version: $$z303098530X$$z9783030985301$$w(OCoLC)1296418850
001445865 830_0 $$aLecture notes in networks and systems ;$$vv. 441.
001445865 852__ $$bebk
001445865 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-98531-8$$zOnline Access$$91397441.1
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001445865 980__ $$aBIB
001445865 980__ $$aEBOOK
001445865 982__ $$aEbook
001445865 983__ $$aOnline
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