book

Applications of Computational Intelligence in Multi-Disciplinary Research

by Ahmed A. Elngar, Rajdeep Chowdhury, Mohamed Elhoseny, Valentina Emilia Balas

February 2022

Intermediate to advanced

220 pages

10h 19m

English

Academic Press

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AbstractAbbreviations1.1 Introduction1.2 Related works1.3 Iris localization1.4 Iris normalization1.5 The proposed feature extraction scheme1.6 Matching results1.7 Performance evaluation1.8 ConclusionReferences
Abstract2.1 Introduction2.2 Related work2.3 Proposed methodology2.4 Discussion2.5 Conclusion and future workReferences
Abstract3.1 Introduction3.2 Deep learning strategies for malware detection3.3 Architecture of CNNs for malware detection3.4 Comparative analysis of CNN approaches3.5 Challenges and future research directions3.6 ConclusionReferences
Abstract4.1 Introduction4.2 Optimization techniques4.3 Understanding fog/edge computing4.4 Optimizing fog resources4.5 Case studies4.6 Scope of advancements and future research4.7 ConclusionReferences
Abstract5.1 Introduction5.2 Survey of literature5.3 Plaintext-to-ciphertext conversion process5.4 Conclusion5.5 Future workReferences

AbstractAbbreviations6.1 Introduction6.2 Supervisory control and data acquisition systems6.3 The very small aperture terminal networks6.4 Algorithm for estimating the satellite bandwidth6.5 Challenges and future work6.6 ConclusionsReferences
AbstractNomenclature7.1 Introduction7.2 Background7.3 Modeling the visual sensors7.4 Solving the camera placement problem using artificial intelligence search7.5 Further discussion7.6 ConclusionReferences
Abstract8.1 Introduction8.2 Nanoscience and nanotechnology8.3 Computational nanotechnology8.4 Applications of computational nanotechnology8.5 ConclusionReferences
Abstract9.1 Introduction9.2 Agriculture’s nanofarming: a modern frontier9.3 Synthesis of green nanoparticles and its sources9.4 Good distribution possibilities allowed by nanoparticles: a modern sustainable agriculture portal9.5 Nanofertilizers: a good food supply for crops9.6 Germination, field production, and efficiency enhancement of seed nanomaterials9.7 Plant sensory systems and responses to radical climate change influences nanomaterials9.8 Nanosensors and nanomaterials: perturbation detection and control9.9 Pesticide-based plant safety nanomaterials9.10 Nanotechnology in pesticides and fertilizers9.11 Control of plant pests9.12 Concluding remarksConsent for publicationConflict of interestReferences
Abstract10.1 Introduction10.2 Related work10.3 Design the knowledge-based system10.4 Knowledge base and inference engine of a knowledge-based system10.5 Applications10.6 Conclusion and Future workReferences
Abstract11.1 Introduction11.2 Applications of Internet of Things in healthcare11.3 Implementation methodologies11.4 Implementation models11.5 Challenges in healthcare IoT11.6 Security issues and defense mechanisms and IoT11.7 Covid 19—how IoT rose to the global pandemic11.8 Future of IoT in healthcare11.9 ConclusionReferences

Content preview from Applications of Computational Intelligence in Multi-Disciplinary Research

Chapter 11

IoT in healthcare ecosystem

Poonam Gupta and M Indhra Om Prabha, G H Raisoni College of Engineering and Management, Pune, India

Abstract

In recent years, IoT has been revolutionizing the technology landscape, leading to explosive growth in fields like automated manufacturing, asset management, and wearable consumer healthcare products. IoT’s presence can be seen in all domains. Ever since IoT gained its entry into the medical field, there has been a magnificent transformation in the healthcare domain. Personal healthcare is now made a reality with IoT offering solutions in several dimensions like remote healthcare; smart clothing such as smartwatches, smart bands, and smart pants; and telemedicine like smart pills and personal care ...