Futuristic Information and Communication

A Multimodal Multidisciplinary Signal Analysis

Mihir Narayan Mohanty, Bibhuprasad Mohanty, Kandarpa Kumar Sarma, Dmitrii Kaplun

• Publisher: CRC Press
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9781040875865
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Contents
• List of Figures
• List of Tables
• About the Conference
• About SOA
• Preface
• Acknowledgement
• Message from President's Desk
• Message from Vice Chancellor's Desk
• Message from the Dean's desk
• Message from the Director's desk
• Message from the desk of General Chair
• Message from the desk of Program Chair and HOD, ECE
• Organising Committee
• Chapter 1 An empirical framework for assessing and mitigating IoT vulnerabilities in smart systems
• Chapter 2 Real-time performance evaluation of a QoS metrics in 5G NR private network under varying load conditions
• Chapter 3 Comprehensive analysis of throughput in 5G NR: impact of modulation schemes, subcarrier spacing, and channel models
• Chapter 4 Mitigating data exfiltration from side-channel attacks on graphics processing units
• Chapter 5 Geothermal energy resources monitoring on IoT platform using LoRa based metrics evaluation
• Chapter 6 A dual band wearable antenna for 5G and WLAN application
• Chapter 7 High-gain micro-strip antenna for defence system
• Chapter 8 Wearable UWB antenna for smart ring applications
• Chapter 9 Leveraging industry 4.0 for business excellence by digitization of aeroengine technology using 3D models
• Chapter 10 MRI-based breast related cancer identification by deep convolutional neural based networks
• Chapter 11 Vehicle detection using YOLO based models for improved traffic management
• Chapter 12 A novel approach for the detection of tea leaf diseases ensemble
• Chapter 13 A descriptive study to assess the attitude of middle adult community people towards mental illness
• Chapter 14 Unsupervised anomaly detection on healthcare providers
• Chapter 15 FinBERT -based sentiment analysis of financial news for enhanced forex market decision making
• Chapter 16 Explainable federated transfer learning for multi-class brain tumor classification
• Chapter 17 Identification of epileptic seizures from brain signal using fourier decomposition
• Chapter 18 AI-powered identification of cystic fibrosis mutations from nucleotide sequences
• Chapter 19 A hybrid framework design for financial prediction using machine learning
• Chapter 20 ViTat 1.0: An attention based vision transformer model for brain tumor identification
• Chapter 21 Real-time structure query language transformation using NLP
• Chapter 22 Strawberry ripeness detection using machine learning techniques
• Chapter 23 Harnessing machine learning for creating of smart book recommendation system
• Chapter 24 Metro operation optimization using predictive maintenance models
• Chapter 25 Hybrid approach for smart job matching listing using Yolov7 and TinyBERT framework
• A hybrid Res-ViT model for glaucoma detection
• CBAM-augmented MobileNetV2 for real-time violence detection: enhancing feature attention for improved performance'
• Monkeypox detection using machine learning
• Characteristics analysis of real and fake speech: a novel approach
• iVision: a deep learning-based web solution for automated eye disease screening using enhanced tiny VGG
• Z-source converter based harmonic reduction and voltage stabilization in grid connected PV system
• Chapter 32 An adaptive micro-grid relay coordination scheme using dual settings DOCRs
• Chapter 33 Optimized battery and supercapacitor management in electric vehicles: a hybrid strategy for improved performance and harmonic reduction
• Chapter 34 Dual active bridge converter for electric vehicle charging
• Chapter 35 ATC automatic lubrication system design and development of CNC
• Chapter 36 Learning based artificial neural network for fuel cell and ultra capacitor integrated electric vehicle energy management
• Chapter 37 Smart grid frequency management of an AC autonomous energy network using metaheuristic-optimised artificial neural networks
• Chapter 38 Fuel cell based electric vehicle battery management using artificial neural network
• Chapter 39 Predictive analytics for electric vehicle battery health: a machine learning approach
• Chapter 40 Advanced artificial intelligence techniques for comprehensive climate data analysis: a systematic review
• Chapter 41 ANN models development for solar irradiance forecasting using metrological data
• Chapter 42 Prediction of cooking quality parameters of rice genotypes using machine learning model
• Chapter 43 Wasserstein loss based generative adversarial network for Odia handwritten numerals
• Chapter 44 Enhanced prediction of electric vehicle battery lifespan using a hybrid ensemble machine learning approach
• Chapter 45 Termux setup tools
• Chapter 46 Impact of interface trap charges on the DC characteristics of cylindrical gate-all-around TFETs: A TCAD-based study
• Chapter 47 A proposal for rapid investigation of cancer cell using silicon based one D photonic structure
• Chapter 48 Enhancing photovoltaic performance of FTO/ZnO/CuO solar cells by replacing silver with MWCNT as a cost-effective charge collector electrode
• Chapter 49 Low-cost, metal-free FTO/CZTS/Perovskite/ZnO/MWCNT solar cell with 5.20% efficiency using pyrolytically synthesized carbon nanotube electrodes
• Chapter 50 Numerical simulation based investigation to improve efficiency of CdS/CdTe solar cells using SCAPS 1D
• Chapter 51 Low-power dual-supply voltage level converter with enhanced energy efficiency
• Chapter 52 A comparative analysis of a InGaP/GaAs double junction solar cell
• Chapter 53 Parameter variation analysis effect on charge plasma TFET(CP-TFET)
• Chapter 54 Design and performance analysis of low power single-phase clock dual-edge triggered D flip-flop based on GDI
• Chapter 55 Non-linear functions approximation using neural network with CORDIC-based implementation