A Study on Next-Generation Materials and Devices

1. Auflage 2025
ISBN: 978-1-041-14610-0
Verlag: CRC Press

Buch, Englisch, 428 Seiten, Format (B × H): 210 mm x 280 mm

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Kumar, M S Vijaya

Raju, K Srujan

Rajakumar, K.

Saravanakumar, S.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde

Inhaltsverzeichnis

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-things-based 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 quantum-assisted signal processing for

sustainable and high-precision 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 249
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 267
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 (SMC) 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

Über Autor(innen)

Dr. M S Vijaya Kumar obtained his Doctoral Degree from Tokyo Metropolitan University, Tokyo, Japan. He did his post-doctoral research work at Tufts University, Boston, USA. Dr. Kumar has the vision of fostering academic learning and research among students and research scholars for the development of innovative concepts and products to the betterment of society. He published 46 research articles, 6 Conference Proceedings. E-mail address: [e-mail] Mobile number: [phone]

Dr. K. Srujan Raju is currently working as Dean Research and Development at CMR Technical Campus. He obtained his Doctorate in Computer Science in the area of Network Security. He has more than 20 years of experience in academics and research. His research interest areas include Data Mining, Cognitive Radio Networks, and Image Processing. E-mail address: [e-mail] Mobile number: [phone]

Dr. K. Rajakumar is presently working on 2 projects funded by the Government of India, has filed 7 patents at the Indian Patent Office, edited 10 books from Springer publications – AISC series, authored 4 books, contributed chapters in various books and published 25 papers at reputed and peer-reviewed International Conferences and Journals. His involvement with students is very conducive for solving their day-to-day problems. He mentored more than 100 students in incubating cutting-edge solutions. Dr. Rajakumar has acted as a reviewer and Technical Member for many conferences. E-mail address: [e-mail] Mobile number: [phone]

Dr. Subramanian Saravanakumar is serving as the Head of the Department of Physics at Kalasalingam Academy of Research and Education, Tamil Nadu. With over 17 years of research experience and 10 years of post-Ph.D. teaching expertise, his scholarly contributions span luminescent and perovskite materials, and nanomaterials. He has authored more than 60 high-impact international journal publications and actively reviews for reputed journals. His advanced proficiency in crystallographic analysis and charge density mapping underpins his significant research output. Dr. Saravanakumar also serves as an editorial board member and has guided multiple Ph.D, and postgraduate students, demonstrating his leadership in both research and education. E-mail address: [e-mail] Mobile number: (+ 91) 99438 12370