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.
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.
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 Alzheimers 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 Alzheimers 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 Alzheimers 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 Alzheimers disease identification in MR
brain
images
78 Electric vehicle modelling for grid integration and charging analysis
Dr. M. S. Vijaya Kumar
Department of Polymer Science and Technology / Chemistry, JSS Science and Technology University, Mysore, Karnataka, India. 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. M S Vijaya 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: vijayakumarms@jssstuniv.in Mobile number: +91-72593 66827
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: ksrujanraju@cmrtc.ac.in Mobile number: +91 79899 29663
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: kantkhapazhamr@susu.ru Mobile number: +91-81240 11542
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: s.saravanakumar@klu.ac.in Mobile number: (+ 91) 99438 12370
