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001450112 001__ 1450112
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001450112 019__ $$a1347027695
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001450112 0247_ $$a10.1007/978-981-19-2445-3$$2doi
001450112 035__ $$aSP(OCoLC)1347020509
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001450112 08204 $$a004$$223/eng/20221017
001450112 1112_ $$aInternational Conference on Fourth Industrial Revolution and Beyond$$n(1st :$$d2021).
001450112 24510 $$aProceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 /$$cSazzad Hossain, Md. Shahadat Hossain, M. Shamim Kaiser, Satya Prasad Majumder, Kanad Ray, editors.
001450112 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001450112 264_4 $$c©2022
001450112 300__ $$a1 online resource (xxxviii, 751 pages) :$$billustrations (chiefly color).
001450112 336__ $$atext$$btxt$$2rdacontent
001450112 337__ $$acomputer$$bc$$2rdamedia
001450112 338__ $$aonline resource$$bcr$$2rdacarrier
001450112 4901_ $$aLecture notes in networks and systems ;$$vvolume 437
001450112 500__ $$aInternational conference proceedings.
001450112 500__ $$aIncludes author index.
001450112 5050_ $$aIntro -- Organization -- Preface -- Contents -- Editors and Contributors -- Artificial Intelligence for Detection and Prediction -- ColorNet: A Deep Learning-Based Approach to Colorize the Historical Documentaries of Bangladesh -- 1 Introduction -- 2 Literature Review -- 2.1 User-Guided Colorization with Image Processing -- 2.2 Traditional Machine Learning-Based Colorization -- 2.3 Deep Learning-Based Colorization -- 3 Proposed Approach -- 3.1 Model Architecture -- 3.2 Strength of Our Model Architecture -- 4 Implementation -- 4.1 Dataset Creation -- 4.2 Dataset -- 4.3 Parameter Settings
001450112 5058_ $$a4.4 Environment Settings -- 5 Experiment Results and Analysis -- 5.1 Performance Metrics -- 5.2 Training Results -- 5.3 Evaluation -- 6 Conclusion and Future Work -- References -- A Methodology for Recommending In-Vehicle Coupons Incorporating Machine Learning Algorithms for Efficient Financial Schemes -- 1 Introduction -- 2 Literature Review -- 3 Work Flow Layout of the Proposed System -- 4 Algorithms -- 4.1 Artificial Neural Networks -- 4.2 CNN LSTM -- 4.3 Random Forest -- 4.4 Extreme Gradient Boosting -- 4.5 Stacking -- 5 Dataset and Data Pre-processing -- 5.1 Dataset Description
001450112 5058_ $$a5.2 Dataset Pre-processing -- 6 Comparative Analysis and Result Discussions -- 7 Proposed Coupon Recommendation Framework -- 8 Conclusion and Future Works -- References -- A Deep Convolutional Neural Network Based Approach to Classify and Detect Crack in Concrete Surface Using Xception -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition and Cleaning -- 2.2 Data Distribution -- 2.3 Xception Architecture -- 3 Optimization and Loss Estimation -- 4 Result and Analysis -- 4.1 Training and Validation of Xception Model -- 4.2 Performance Evaluation -- 5 Conclusion -- References
001450112 5058_ $$aMachine-Learning Based Physical Exercise Identification with Heuristic Optimized Features Prioritization -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Description -- 2.2 Feature Explanation -- 2.3 Classifier Model -- 2.4 Feature Selection -- 3 Result and Discussion -- 4 Conclusions -- References -- Modelling Lips State Detection Using CNN for Non-verbal Communications -- 1 Introduction -- 2 New Lips State Detection Models -- 2.1 Landmark Detection -- 2.2 Distance Calculation -- 2.3 Dataset Collection -- 2.4 Lips State Detection -- 2.5 Training Performance Evaluation
001450112 5058_ $$a2.6 Time Slots and Commands -- 3 Results -- 4 Conclusion -- References -- Depression-Level Prediction During COVID-19 Pandemic Among the People of Bangladesh Using Ensemble Technique: MIRF Stacking and MIRF Voting -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Features Selection -- 3.4 Model Implementation -- 3.5 Calculate Performance Metrics -- 4 Results and Discussions -- 5 Conclusion -- References -- HandFruitNet: A Deep Learning Based Model for Fruits Classification from Hand -- 1 Introduction -- 2 Related Works
001450112 506__ $$aAccess limited to authorized users.
001450112 520__ $$aThis book includes papers in the research area of artificial intelligence, robotics and automation, IoT smart agriculture, data analysis and cloud computing, communication and technology, and signal and natural language processing. The book is a collection of research papers presented at the First International Conference on Fourth Industrial Revolution and Beyond (IC4IR 2021) organized by University Grants Commission of Bangladesh in association with IEEE Computer Society Bangladesh Chapter and Bangladesh Computer Society during December 1011, 2021.
001450112 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 17, 2022).
001450112 650_0 $$aComputer science$$vCongresses.
001450112 650_0 $$aTechnology$$vCongresses.
001450112 650_0 $$aIndustry 4.0$$vCongresses.
001450112 655_0 $$aElectronic books.
001450112 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001450112 655_7 $$aConference papers and proceedings.$$2lcgft
001450112 7001_ $$aHossain, Sazzad,$$d1969-$$eeditor.$$1https://isni.org/isni/0000000122404530
001450112 7001_ $$aHossain, Md. Shahadat,$$eeditor.
001450112 7001_ $$aKaiser, M. Shamim,$$eeditor.
001450112 7001_ $$aMajumder, Satya Prasad,$$eeditor.
001450112 7001_ $$aRay, Kanad,$$eeditor.$$1https://isni.org/isni/0000000496995478
001450112 77608 $$iPrint version:$$aInternational Conference on Fourth Industrial Revolution and Beyond (1st : 2021), creator.$$tProceedings of International Conference on Fourth Industrial Revolution and Beyond 2021.$$dSingapore : Springer Nature Singapore, 2022$$z9789811924446$$w(OCoLC)1338676227
001450112 830_0 $$aLecture notes in networks and systems ;$$vv. 437.
001450112 852__ $$bebk
001450112 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2445-3$$zOnline Access$$91397441.1
001450112 909CO $$ooai:library.usi.edu:1450112$$pGLOBAL_SET
001450112 980__ $$aBIB
001450112 980__ $$aEBOOK
001450112 982__ $$aEbook
001450112 983__ $$aOnline
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