1st Edition
Futuristic Information and Communication A Multimodal Multidisciplinary Signal Analysis
The development of novel techniques that can easily extract information from the joint observations of measurements coming from many modalities is necessary to realise the full potential of futuristic information processing applications in communication industries. Communication is an essential process in the design, development, and operation of systems and is expanded upon by exploring the essential information available at every stage of the system lifetime, including identifying the needs and constraints, conveying that knowledge, and confirming and validating that the right actions have been taken. Multimodal communication describes the integration of multiple communication technologies in a single interoperation system. Multimodal and cross modal applications differ from traditional interaction methods in several ways. They can use any combination of input and output modalities, including but not limited to: video, audio, radio, fax, telephone, electronic, mechanical creating a more holistic user experience. Artificial intelligence systems, like Chabot’s and virtual assistants, may comprehend and react to users more instinctively and organically when they use multimodal artificial intelligence. It contributes to improving user experience as well as the efficacy and efficiency of interactions across a range of industries. Nevertheless, in recent times, deep learning and machine learning techniques are playing a pivotal role in multimodal signal processing for biomedical, fraud prevention, autonomous vehicles, Facial recognition, Hiring, Gaming, Social media, Travel and so on. But this domain suffers in exploiting its full potent due to absence of frameworks and tools for creating cross-modal and multimodal applications, as well as the lack of a common data structure that supports several modalities. This provides a common platform to a diverse and distinguished group of domain experts worldwide, all sharing a common passion for the ever-evolving information in the form of big data and forging new frontiers and building bridges to a brighter and sustainable future in the domain of communication.
1 An empirical framework for assessing and mitigating IoT vulnerabilities
in smart systems
Shubham Minhass Ritu Chauhan and Harleen Kaur
2 Real-time performance evaluation of a QoS metrics in 5G NR private
network under varying load conditions
Riy a Raj, Mukta Dhar, Muskan, Parvi Gupta, Shuvabrata Bandopadhyay,
Gulman Siddiqui and Yogendra Singh
3 Comprehensive analysis of throughput in 5G NR: impact of modulation
schemes, subcarrier spacing, and channel models
Sulekha Pateriya, Vanshika Jain and Shuvabrata Bandopadhaya
4 Mitigating data exfiltration from side-channel attacks on graphics
processing units
Nelson Lungu, Bibhuti Bhusan Dash, Binod Kumar Pattanayak,
Rajen Bose, Utpal Chandra De and Sudhansu Shekhar Patra
5 Geothermal energy resources monitoring on IoT platform using LoRa
based metrics evaluation
Ch. Ravisankar and Sanjeet Kumar Sinha
6 A dual band wearable antenna for 5G and WLAN application
Anupa Chatterjee, Sneha Sharma, Manas Midya and Laxmi Prasad Mishra
7 High-gain micro-strip antenna for defence system
Shakti Raj, Chopra, Laxmi Prasad, Mishra, Saumendra Kumar, Mohanty
and Prashant Kumar, Choudhary
8 Wearable UWB antenna for smart ring applications
Shakti Raj, Chopra, Leshrith, Ganji, Sarmistha, Satrusallya,
Benudhar Sahu and Prashant Kumar Choudhary
9 Leveraging industry 4.0 for business excellence by digitization of
aeroengine technology using 3D models
Anjana Nayak, Satyabrata Dash and Sujata Chakravarty
10 MRI-based breast related cancer identification by deep convolutional
neural based networks
M. L. S. N. S. Lakshmi and G. V. Eswara Rao
11 Vehicle detection using YOLO based models for improved traffic
management
Anchal Sundar Ray, Arun Kumar Ray and Sukanta Kumar Sabut
12 A novel approach for the detection of tea leaf diseases using ensemble
learning
Kandarpa Kalita, Kishore Medhi, Anirudha Deka and Sunandan Baruah
13 A descriptive study to assess the attitude of middle adult community
people towards mental illness
Simran Chauhan, Shivani Dhiman, Srikanta Mallik, Alok Kumar Agrawal,
Rajit Verma and Srikanta Kumar Mohapatra
14 Unsupervised anomaly detection on healthcare providers
Bishal Jaysawal, Satyanand Kumar Chauhan, Rahul Raj Sah and
Smita Rani Parija
15 FinBERT -based sentiment analysis of financial news for enhanced forex
market decision making
Prachi Chhabra, Nitin Kumar, Prakhar Garg, Pulkit Bansal,
Davinder Paul Singh, Rahul Singh, Shubham Mahajan and
Amit Kant Pandit
16 Explainable federated transfer learning for multi-class brain tumor
classification
Rashmi Ranjan Maharana, Pinaki Prasad Dhalsamanta, T. Mita Kumari,
Dinesh Kumar Dash and Rashmi Ranjan Sahoo
17 Identification of epileptic seizures from brain signal using fourier
decomposition
Sandhyalati Behera, Rashmi Ranjan Maharana, Abhishek Das and
Benudhar Sahu
18 AI-powered identification of cystic fibrosis mutations from nucleotide
sequences
Ritu Chauhan, Aarushi Mishra, Harleen Kaur and Mihir Narayan Mohanty
19 A hybrid framework design for financial prediction using machine learning
Kapil Mohan, Ritu Chauhan and Harleen Kaur
20 ViTat 1.0: An attention based vision transformer model for brain tumor
identification
Rasmi Prakash Swain, Shubha Dattatreya Bahinipati, Shweta Kharya,
Tejaswini Das, Bipasha Patnaik and Debasish Swapnesh Kumar Nayak
21 Real-time structure query language transformation using NLP
Preeti Ranjan Sahoo, Bimal Prasad Kar, Samaleswari Prasad Nayak,
Sujit Kumar Jena and Surajit Das
22 Strawberry ripeness detection using machine learning techniques
Amlan Pati, Subhendu Pati and Binod Kumar Sahu
23 Harnessing machine learning for creating of smart book recommendation
system
Premananda Sahu, G. S. Pradeep Ghantasala, Srikanta Kumar Mohapatra,
Jayashree Mohanty, Rajesh Sharma, R. and Akey Sungheetha
24 Metro operation optimization using predictive maintenance models
Davinder Paul Singh, Stuti Desai, Atharav Shivhare, Shubham Mahajan
and Amit Kant Pandit
25 Hybrid approach for smart job matching listing using Yolov7 and
TinyBERT framework
Mayank Raj, Harshit Singh, Ansh Khurana, Mukesh Gaur, Anisha Agarwal,
Davinder Paulf
, Shubham Mahajan and Amit Kant Pandit
26 A hybrid Res-ViT model for glaucoma detection
K. S. Ankita, Debashish Dash, Sakambhari Mahapatra and Sanjay Agrawal
27 CBAM-augmented MobileNetV2 for real-time violence detection:
enhancing feature attention for improved performance’
B. Emile Jonath, B. Alex and Sanjay Kumar Sahu
28 Monkeypox detection using machine learning
Aakanksha Sankhyan, Sneha Thakur, Gaurav Mehta, Alok Kumar Agrawal,
Rajit Verma and Farida A. Ali
29 Characteristics analysis of real and fake speech: a novel approach
Nilamadhab Dash, Rashmirekha Ram, Saumendra Kumar Mohapatra
and Mihir Narayan Mohanty
30 iVision: a deep learning-based web solution for automated eye disease
screening using enhanced tiny VGG
Srikanta Kumar Sahoo, Alakananda Tripathy and
Saumendra Kumar Mohanty
31 Z-source converter based harmonic reduction and voltage stabilization
in grid connected PV system
Bhabasis Mohapatra, Ritesh Dash, Bindu Shree, S., Renu Sharma,
Gowri S. Biradar, Sarat Chandra Swain and Binod Kumar Sahu
32 An adaptive micro-grid relay coordination scheme using dual settings
DOCRs
Oussama Merabet, Hamza Belmadani, Intissar Hattabi, Mohit Bajaj,
Adel Oubelaid, Bhabasis Mohapatra, Renu Sharma and Binod Kumar Sahu
33 Optimized battery and supercapacitor management in electric vehicles:
a hybrid strategy for improved performance and harmonic reduction
Gideon Steve, Vinay, S., Pradeep Vishnuram, Mohit Bajaj,
Bhabasis Mohapatra, Binod Kumar Sahu and Debiprasanna Das
34 Dual active bridge converter for electric vehicle charging
Vishwajeet Bilonia, Sneha Sehgal, Purab Naidu, Pradeep Vishnuram,
Mohit Bajaj, Bhabasis Mohapatra, Binod Kumar Sahu and Renu Sharma
35 ATC automatic lubrication system design and development of CNC
Prashanta Kumar Nayak, Ellora Das, Sushri Sangita Mahapatra and
K. Sekhar Rao
36 Learning based artificial neural network for fuel cell and ultra capacitor
integrated electric vehicle energy management
Niranjan Nayak, Anshuman Satapathy, Satis Choudhury and
Sangram keshari Routray
37 Smart grid frequency management of an AC autonomous energy network
using meta-heuristic-optimised artificial neural networks
Monalisa Mohanty, Sujeet Kumar Bhuyan and Niranjan Nayak
38 Fuel cell based electric vehicle battery management using artificial neural
network
Satish Choudhury, Anshuman Satapathy and Niranjan Nayak
39 Predictive analytics for electric vehicle battery health: a machine learning
approach
Ashok Kumar Bandla, Gopinath Palai and Rabi N Satpathy
40 Advanced artificial intelligence techniques for comprehensive climate
data analysis: a systematic review
Ashi Malaiya, Nysa Maheshwari, Priya Mathur and Amit Kumar Gupta
41 ANN models development for solar irradiance forecasting using
metrological data
Saumya Mishra, Deependra Pandey and Saurabh Bhardwaj
42 Prediction of cooking quality parameters of rice genotypes using machine
learning model
Saraswati Pati, Abhishek Das, Supriya Kumari and Goutam Kumar Dash
43 Wasserstein loss based generative adversarial network for Odia
handwritten numerals
Abhishek Das, Sandhyalati Behera, Bhagyalaxmi Behera and
Mihir Narayan Mohanty
44 Enhanced prediction of electric vehicle battery lifespan using a hybrid
ensemble machine learning approach
Srikanta Kumar Sahoo, Alakananda Tripathy and Shaktijeet Mahapatra
45 Termux setup tools
Chetan Suthar, Sonal Hutke, Pranavi Tangudu, Dhruv Mehta and
Asha Selvan
46 Impact of interface trap charges on the DC characteristics of cylindrical
gate-all-around TFETs: A TCAD-based study
Atmadeep Banerjee, Aarjav Talati and Girija Shankar Sahoo
47 A proposal for rapid investigation of cancer cell using silicon based one
D photonic structure
Somdut ta Sinha, Tushar Kanta Panda, Partha Sarkar, Moumita Pal and
Gopinath Palai
48 Enhancing photovoltaic performance of FTO/ZnO/CuO solar cells by
replacing silver with MWCNT as a cost-effective charge collector electrode
A. G. Sneha Aishwarya, S. K. Ahamad Abdul Khadar, Md. Malik Sharief,
D. Seshu Kumar, Priyadarshini Raiguru and Jagatpati Raiguru
49 Low-cost, metal-free FTO/CZTS/Perovskite/ZnO/MWCNT solar cell with
5.20% efficiency using pyrolytically synthesized carbon nanotube electrodes
Mamidanna Jaya Surya Karthik, Jala Praveen, Kollipaka Surya Prakash,
Eeli Aashritha Sri Sowmya, Gumpula Satya Sai Ram and Jagatpati Raiguru
50 Numerical simulation based investigation to improve efficiency of
CdS/CdTe solar cells using SCAPS 1D
Partha Ray, Partha Sarkar, Ch Venkatesa Rao and Gopinath Palai
51 Low-power dual-supply voltage level converter with enhanced energy
efficiency
Yashas, B. R., Narasimha Murthy, A. J., Chiranthan Bhardwaj B. and
Premananda B. S.
52 A comparative analysis of a InGaP/GaAs double junction solar cell
Jhilirani Nayak, Pankaj Prusty, Arabinda Sahoo, Bibhu Prasad Mohanty
and Mihir Narayan Mohanty
53 Parameter variation analysis effect on charge plasma TFET(CP-TFET) for
ambipolar current reduction
Sasmita Sahoo
54 Design and performance analysis of low power single-phase clock
dual-edge triggered D flip-flop based on GDI
Tharun Kumar, R., Srujan B. N., Raghavendra Sherkhane and
Premananda, B. S.
55 Non-linear functions approximation using neural network with
CORDIC-based implementation
Kratika Bansal and Satyasai Jagannath Nanda
Biography
Mihir Narayan Mohanty
is presently working as a Professor in the Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. He is the senior member of IEEE, Fellow of IET and IE(I). He has published more than 400 research papers in various high index International Journals (>120) Book Chapters (>100), Conferences Proceedings (>200) over the 25 years of teaching and research experience. He has also co-edited four books of Springer in the area of Advances in Artificial Intelligence. His area of research interests includes Applied Signal and Image Processing, Biomedical Signal Processing, Microwave Communication Engineering and Speech Processing. He is having total 2394 Google scholar citation with h-index 23, and i-10 index 60. He has successfully guided six Ph.D. scholars and currently seven scholars are working under him. He has delivered number of talks and guest lecturers in various countries including China, Singapore, Malasiya, UAE, Thailand. He has organized various international conferences and faculty development programs.
Bibhuprasad Mohanty
is presently working as a Professor and Head in the Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. He is the member of IEEE, IET and IE(I). He has published more than 85 research papers in various high index International Journals with over the 25 years of teaching and research experience. He has also co-edited four books of Springer in the area of Advances in Artificial Intelligence. His area of research interests includes Applied Signal and Image Processing, Biomedical Signal Processing, Communication Engineering and Speech Processing.
Kandarpa Kumar Sarma
currently Professor and Head, Department of Electronics and Communication Engineering, GUIST, Gauhati University, India specializes in mobile communication, artificial intelligence, human-computer interaction, cognitive and software-defined radio, speech processing and antenna design. He completed MTech in Signal Processing in 2005 from IIT Guwahati, India. He also completed PhD from IIT Guwahati in the area of mobile communication in 2012. He is a Senior Member of IEEE (USA) and a fellow of the Institution of Electronics and Telecommunication Engineers (IETE) (India).
Dmitri Kaplan
Associate Professor (2015), Lead Researcher (2020) at Saint Petersburg Electrotechnical University “LETI” (Saint Petersburg, Russia), Full Professor (2023) at China University of Mining and Technology. The current research and academic work are related with digital signal and image processing, embedded and reconfigurable systems, computer vision and machine learning. The most substantial results are in the fields of digital signal and image processing, embedded systems and machine learning. Author of more than 100 papers in journals, including leading journals, and conference proceedings. He is an Associate/Guest Editor/Editorial Board Member such journals as Frontiers in Neuroinformatics, Industrial Artificial Intelligence, Scientific Reports.
