001482278 000__ 06184cam\\22006497i\4500
001482278 001__ 1482278
001482278 003__ OCoLC
001482278 005__ 20231128003329.0
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001482278 008__ 231007s2023\\\\si\a\\\\o\\\\\100\0\eng\d
001482278 019__ $$a1402019210
001482278 020__ $$a9789819951666$$qelectronic book
001482278 020__ $$a9819951666$$qelectronic book
001482278 020__ $$z9819951658
001482278 020__ $$z9789819951659
001482278 0247_ $$a10.1007/978-981-99-5166-6$$2doi
001482278 035__ $$aSP(OCoLC)1402029658
001482278 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dYDX$$dOCLCF
001482278 049__ $$aISEA
001482278 050_4 $$aTK5105.5$$b.I58 2023
001482278 08204 $$a004.6$$223/eng/20231011
001482278 1112_ $$aInternational Conference on Inventive Communication and Computational Technologies$$n(7th :$$d2023 :$$cTamil Nadu, India).
001482278 24510 $$aInventive communication and computational technologies :$$bproceedings of ICICCT 2023 /$$cG. Ranganathan, George A. Papakostas, Álvaro Rocha, editors.
001482278 24630 $$aICICCT 2023
001482278 264_1 $$aSingapore :$$bSpringer,$$c2023.
001482278 300__ $$a1 online resource (xxxi, 1132 pages) :$$billustrations (chiefly color).
001482278 336__ $$atext$$btxt$$2rdacontent
001482278 337__ $$acomputer$$bc$$2rdamedia
001482278 338__ $$aonline resource$$bcr$$2rdacarrier
001482278 4901_ $$aLecture Notes in Networks and Systems Series ;$$vv. 757
001482278 5050_ $$aIntro -- Preface -- Contents -- Editors and Contributors -- Mitigating Vanishing Gradient in SGD Optimization in Neural Networks -- 1 Introduction -- 2 Gradient Descent Optimization -- 2.1 Scope Identified -- 3 Vanishing Gradient Problem -- 4 Activation Functions -- 4.1 Saturated Activation Function -- 4.2 Unsaturated Activation Function -- 5 Adaptive Optimization Methods -- 6 Other Solutions for VGP -- 6.1 Batch Normalization -- 6.2 Gradient Clipping -- 6.3 Weight Initialization -- 7 Conclusion -- References -- A Comparative Analysis of Heart Disease Diagnosis with Machine Learning Models
001482278 5058_ $$a1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Heart Disease Dataset -- 3.2 Machine Learning Models -- 3.3 Proposed Framework -- 4 Experimental Results -- 4.1 Settings -- 4.2 Evaluation Metrics -- 4.3 Results and Discussion -- 4.4 Examples of Heart Disease Diagnosis -- 5 Conclusions -- References -- The Impact of Information System and Technology of Courier Service During Pandemic -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Types of Research -- 3.2 Variable -- 3.3 Population -- 3.4 Sample -- 3.5 Types of Data -- 3.6 Data Collection Technique
001482278 5058_ $$a3.7 Data Analysis Technique -- 4 Research Result and Discussion -- 5 Conclusion -- References -- Event Detection in Social Media Analysis: A Survey -- 1 Introduction -- 2 Literature Review -- 3 Localized Burst Detection -- 4 Global Burst Detection -- 5 Conclusion -- References -- Artificial Intelligence Mechanism to Predict the Effect of Bone Mineral Densıty in Endocrıne Diseases-A Review -- 1 Introduction -- 2 Bone Fracture -- 2.1 Faster R-CNN -- 2.2 Fivefold Cross-Validation -- 2.3 Deep Learning-Based Object Detection Model -- 3 Bone Metabolısm -- 3.1 Bone Tissue Growth
001482278 5058_ $$a4 BMD and Osteoporosis -- 5 Bone Mass in Endocrine Disease -- 5.1 Diabetes Mellitus -- 5.2 Thyroid and Diabetes Mellitus -- 6 Summary and Conclusion -- References -- Evaluation of Deep Learning CNN Models with 24 Metrics Using Soybean Crop and Broad-Leaf Weed Classification -- 1 Introduction -- 2 Related Works -- 2.1 Weed Detection in the Maize Field -- 2.2 Estimating Weed Growth -- 2.3 Multi-classification of Weeds Using HSI Images -- 2.4 Weed Density Estimation -- 2.5 Detecting Cotton Weeds Using Yolo Object Detector -- 2.6 Weed Detection at an Early Stage -- 3 Materials and Methods
001482278 5058_ $$a3.1 Module 1-Data Pre-processing -- 3.2 Module 2-Classification of Crop and Weed -- 3.3 Module 3-Performance Evaluation -- 4 Experimental Results -- 4.1 Results and Discussions -- 4.2 Graphs-Confusion Matrix and ROC Curve -- 5 Conclusion and Future Enhancements -- 5.1 Conclusion -- 5.2 Future Enhancements -- References -- Bluetooth Controlled Integrated Robotic Arm with Temperature and Moisture Sensor Modules -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Implementation Strategy -- 3.2 Block Diagram -- 4 Discussion -- 5 Results -- 6 Conclusion -- References -- Image Dehazing Using Generic Model Agnostic Convolutional Neural Network
001482278 506__ $$aAccess limited to authorized users.
001482278 520__ $$aThis book gathers selected papers presented at the 7th International Conference on Inventive Communication and Computational Technologies conference (ICICCT 2023), held on May 2223, 2023, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.
001482278 588__ $$aDescription based on online resource; title from digital title page (viewed on November 06, 2023).
001482278 650_0 $$aComputer networks$$xTechnological innovations$$vCongresses.
001482278 650_0 $$aCommunication$$xTechnological innovations$$vCongresses.$$xRelations with faculty and curriculum$$0(DLC)sh 85076594
001482278 655_0 $$aElectronic books.
001482278 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001482278 655_7 $$aConference papers and proceedings.$$2lcgft
001482278 7001_ $$aRanganathan, G.,$$eeditor.
001482278 7001_ $$aPapakostas, George A.,$$eeditor.
001482278 7001_ $$aRocha, Álvaro,$$eeditor.
001482278 77608 $$iPrint version:$$aRanganathan, G.$$tInventive Communication and Computational Technologies$$dSingapore : Springer,c2023$$z9789819951659
001482278 830_0 $$aLecture notes in networks and systems ;$$vv. 757.
001482278 852__ $$bebk
001482278 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-5166-6$$zOnline Access$$91397441.1
001482278 909CO $$ooai:library.usi.edu:1482278$$pGLOBAL_SET
001482278 980__ $$aBIB
001482278 980__ $$aEBOOK
001482278 982__ $$aEbook
001482278 983__ $$aOnline
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