
A Study on Next-Generation Materials and Devices
- English
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- Available on iOS & Android
A Study on Next-Generation Materials and Devices
About this book
A Study on Next-Generation Materials and Devices proudly presents the proceedings of the International Conference on Next-Generation Materials and Devices (ICNMD, 2024) held from August 01–03, 2024, in Virudhunagar, India. ICNMD 2024 served as a crucial platform, focusing on state-of-the-art research and development in A Study on Next-Generation Materials and Devices for sustainable development. The diverse program explored major topics such as energy solutions, environmental concerns, advanced sensors, the role of artificial intelligence, and computational approaches for materials design. It also delved into biomaterials for medical applications, alongside discussions on next-generation semiconductors, and flexible electronics poised to revolutionize the electronics industry. The event covered all the significant verticals related to materials and devices, featuring pioneers who shed light on uncharted domains.
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Table of contents
- Cover Page
- Half Title Page
- Title Page
- Copyright Page
- Contents
- List of figures
- List of tables
- Foreword
- Preface
- Acknowledgements
- 1 Development of plant health monitoring device
- 2 Development of MEMS-based sensors for industrial applications
- 3 An analysis of deep learning techniques used for semantic segmentation of remote sensing images
- 4 Managing distribution transformers using GSM-based remote monitoring systems
- 5 Bio-innovations in drug packaging: A novel approach using microcrystalline cellulose and modified starch based bio-composite materials
- 6 Modelling and design analysis of a ripple-free high step-up converter for fuel cell application
- 7 Transcutaneous electrical nerve stimulator for cervical cancer
- 8 Advanced power electronics for electric vehicle charging stations
- 9 Smart gloves using SpO2, temperature and ECG sensor
- 10 A comprehensive overview of internet-of-thingsbased water monitoring systems
- 11 A detailed review of the concepts, technologies, and industrial applications of Digital Twin
- 12 PSO-based optimization of EVCS and DG placement for improved grid durability and efficiency in distribution systems
- 13 Tumor extraction from MR brain images using modified seeded region growing algorithm
- 14 Threats to the IOT technologies from security point of view
- 15 Blockchain-powered smart meter billing: Enabling transparency and security
- 16 Sensor based emergency locating module (ELM)
- 17 Predictive analytics for renal health: Machine learning in chronic kidney disease prediction
- 18 Analysing the efficiency of a panel of monocrystalline cells utilizing a nanofluid cooling technique based on Aluminium-Metal Oxide (Al2O3)
- 19 Bandwidth improvement using C stub in simple compact monopole antenna for wireless applications
- 20 Transforming Ayurvedic medicine access: A prototype on healthcare systems
- 21 Multiscale information fusion to segment white blood cells for early stage detection of acute lymphoblastic leukemia
- 22 Augmented Reality (AR) and Virtual Reality (VR) for educational applications
- 23 Mammography images: Visual Geometric Group (VGG) model and customization for breast cancer detection
- 24 Innovative 3D printing technologies for biomedical application
- 25 Effective human heart disease prognosis through machine learning
- 26 Edge AI-integrated photonic crystals for real-time and adaptive optical sensing applications
- 27 Unveiling the challenges in extracting cerebral tumour on MRI utilizing Glowworm Swarm Optimization based PCM Clustering
- 28 Analysis of PV penetration with smart inverter on DG system at grid system
- 29 Unveiling interdependencies between Alzheimer's disease and lung cancer through integrated CGNN modelling
- 30 Low-calcium calcined clay or mortar in an acidic environment
- 31 Indian sign language recognition system facilitating communication for individuals with special needs
- 32 Next-generation soft matter-infused metasurfaces for adaptive and reconfigurable optoelectronic devices
- 33 Hybrid deep learning model for brain tumour segmentation
- 34 Biodegradable optical sensors with quantumassisted signal processing for sustainable and highprecision sensing
- 35 Implement door unlocking by using an RFID enabled ATM card system
- 36 Enhance performance the particle Swarm optimization based optimizing load balancing technique in cloud computing
- 37 Implementing an RSSI-based localization algorithm for Alzheimer's disease in smart home systems using wireless sensor networks
- 38 A comprehensive optimization strategy for ZVS and ZCS-enabled half-bridge LLC resonant conversion devices
- 39 Combining firefly optimization and Mahalanobis distance based fuzzy C-means clustering for earlier breast cancer diagnosis
- 40 Modeling and intelligent control of hybrid system for microgrid operation
- 41 Decrypting theft suspects in low-resolution snapshots
- 42 RFID technology for supply chain management
- 43 A comprehensive survey on OFDM autoencoders: Integrating machine learning for enhanced communication systems
- 44 IoT-enhanced smart vending cart revolutionizing retail with connected technology
- 45 Exploration of blockchain integrated IoT devices in healthcare application for secured remote patient monitoring
- 46 A study of fourth-generation communication systems' multiple-access techniques and their relative effectiveness
- 47 Transfer learning with vision transformers for Alzheimer's disease detection: An ablation study
- 48 Hybrid energy storage systems for smart homes
- 49 Advances in artificial pancreas technology: A comprehensive review and future prospects
- 50 IoT-based appropriate crop Identification Method after Soil Analysis and Local Weather Prediction
- 51 5G network based spectrum analysis for mm-wave and sub 6 GHz
- 52 AI-driven crystalline defect engineering for tunable light emission: A machine learning approach to optoelectronic material design
- 53 Reduction of noise in multimodal brain images using adaptive filtering techniques
- 54 AI-Directed Synthesis of Bio-Optical Nanomaterials for Medical Imaging
- 55 Deep learning approaches for classification of abnormal respiratory signals
- 56 Advanced irrigation systems employing recent technologies
- 57 Plant care app crop disease detection using machine learning
- 58 Fault classification and monitoring in induction machine using artificial neural network
- 59 A Unique Stochastic Slime Mould Converter Control (S2MC2) model with Quadratic High Gain Converter (QHGC) for PV-EV System
- 60 Intelligent interface of solid oxide fuel cell for micro grid operation
- 61 Development and characterization of polyvinyl alcohol-activated charcoal composites for advanced wound dressings
- 62 Infrastructural study of smart cities
- 63 Dehazing the Hazed images for buildings and underwater objects using KWM algorithm
- 64 AI-powered metamaterial-based dynamic light steering for Next-Gen displays
- 65 Design and implementation of heart patient health monitoring system using IoT
- 66 AI-enhanced image sensors for autonomous vehicles
- 67 An explorative analysis of T cell activating drugs
- 68 Bioinformatics: Using machine learning for genome analysis
- 69 Diagnosis of PCOS using the optimal bald eagle based SVM model
- 70 AI-driven self-adaptive crystalline polymers for next-generation smart lenses: a novel approach to real-time optical adjustment and wearable vision enhancement
- 71 An Efficient medical decision-making system for skin cancer classification using SENet
- 72 A smart adaptive neuro fuzzy inference system (ANFIS) model integrated with DAB converter for EV charging systems
- 73 Mathematical analysis to enhance the frequency stability of interconnected power system
- 74 Optimizing the scheduling of electric vehicles in a static G2V system, incorporating grid stability
- 75 Adaptive contextual emotion-infused transfer learning network for respiratory surveillance
- 76 HoloNeuroNet: A nano-holography-based AI optical computing framework
- 77 Utilizing DBSCAN clustering for Alzheimer's disease identification in MR brain images
- 78 Electric vehicle modelling for grid integration and charging analysis
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