Advances in Networks, Intelligence and Computing

Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023)

Ashok Kumar, Geeta Sharma, Anil Sharma, Pooja Chopra, Punam Rattan

• Publisher: CRC Press
• Year: 2024
• Topic: Computer Science
• eBook ISBN:
  9781040017128
• Subtopic: Computer Science General
• Index: Computer Science

The year 2023 marks the 100th birth anniversary of E.F. Codd (19 August 1923 - 18 April 2003), a computer scientist, who while working for IBM invented the relational model for database management, the theoretical basis for relational databases and relational database management systems. He made other valuable contributions to computer science but the relational model, a very influential general theory of data management, remains his most mentioned, analyzed, and celebrated achievement. School of Computer Application, under the aegis of Lovely Professional University, pays homage to this great scientist of all times by hosting "CODD100 – International Conference on Networks, Intelligence and Computing (ICONIC-2023)".

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Contents
• List of Figures
• List of Tables
• About the Conference
• Biographies
• Chapter 1 Dual band compact patch antenna for MM-wave 5G application
• Chapter 2 Analyze crime patterns using space-time analysis framework and performance measures evaluation with various machine learning algorithm
• Chapter 3 A Comprehensive Review on Fake News Detection with Deep and Machine Learning
• Chapter 4 Real-time application for apple orchards disease detection using embedded system and cloud services
• Chapter 5 Public sensitive data exchange built on signatures for cloud services
• Chapter 6 Optimized mechanism for allocating resources in a cloud environment using frog and crow optimization algorithm
• Chapter 7 Optimizing diabetic retinopathy disease prediction using PNAS, ASHA, and transfer learning
• Chapter 8 Precisely predicting heart disease by examining the data analysis
• Chapter 9 AI based real time vehicle speed detection using deep learning
• Chapter 10 Comparative study to detect effective data exchange protocols for IoT based healthcare environment
• Chapter 11 A comprehensive analysis to identify effective tools and technologies for remote patient monitoring
• Chapter 12 Cloud with big data analytics and challenges in developing countries
• Chapter 13 Layout Analysis of Punjabi Newspapers Using Contour Detection and Deep Learning-Based Model
• Chapter 14 A framework for initial detection of diabetes via machine learning
• Chapter 15 Hybrid sentiment analysis based book recommendation system
• Chapter 16 Comparative analysis of SDN controllers
• Chapter 17 CryptoTrace: tracking cryptocurrency transactions with blockchain technology
• Chapter 18 Heart disease prediction by using machine learning algorithms
• Chapter 19 Optimizing power consumption by controlling electrical appliances using computer vision
• Chapter 20 Hybrid home automation system using IoT
• Chapter 21 ML-based stress classification and detection using multimodal affect dataset
• Chapter 22 Color image encryption and decryption using advanced encryption standard
• Chapter 23 Multiple disease prediction using machine learning
• Chapter 24 A comprehensive review of text summarization: state-of-the-art approaches and challenges
• Chapter 25 Design of an AI-based binary class heart disease prediction model for IoMT
• Chapter 26 A review of artificial intelligence-based plant species classification techniques
• Chapter 27 Deep learning-based automatic response generation for amazon QA dataset
• Chapter 28 Enhancing thyroid disease detection with ensemble-based machine learning algorithms
• Chapter 29 IoT applications detect still images and loop videos in real-time video conferences employing the hybrid violajones method and haar cascade classifier
• Chapter 30 A web of science based bibliometric analysis on detecting mental health disorders in children and adolescents: a global perspective
• Chapter 31 An overview of Stemming and Lemmatization Techniques
• Chapter 32 Stroke risk prediction model using machine learning techniques
• Chapter 33 A robust ensemble model for disposition prediction using the myersbriggstype indicator (MBTI) in machine learning
• Chapter 34 Convolutional vision transformer for weed flora classification in banana plantations
• Chapter 35 Computer vision-inspired smart attendance system (SAS)
• Chapter 36 Machine and deep learning for accurate state-wide weather forecasting: a case study of Telangana
• Chapter 37 Customer segmentation basedon RFM analysis and product association rules for e-commerce
• Chapter 38 Face recognition based attendance system using python
• Chapter 39 Performance-analysis of machine-learning models for diabetes-prediction
• Chapter 40 Contemporary machine learning techniques for brain signal processing -a systematic review
• Chapter 41 Prediction on most-valuable player selection in NBA using machine learning algorithm
• Chapter 42 An efficient AES and security performance trade-off
• Chapter 43 Library automation an inevitable footstep towards networked library system: case study of govt degree colleges of Himachal Pradesh (India)
• Chapter 44 Smart home system integration using internet of things
• Chapter 45 Landmark detection system
• Chapter 46 Exploring factors affecting student placements: acomprehensive analysis of demographics, academic performance, and preparation activities
• Chapter 47 Deep learning for disease detection in sugarcane leaves
• Chapter 48 Brain tumor classification using convolutional neural networks
• Chapter 49 Exploring state-of-the-art deep neural network-based segmentation techniques for MRI tumor detection: a comprehensive review and future trends
• Chapter 50 Smart farming using blynk server: for irrigation process, to handle water lanes and providing security features through wireless controller
• Chapter 51 Traffic eye: a deep learning approach for accurate traffic sign detection & recognition (TSDR)
• Chapter 52 Recognition of emotion through speech
• Chapter 53 Accuracy enhancement of textual data during sentiment analysis in twitter using multinomial naive bayes
• Chapter 54 Enhanced real-time face recognition security system using LBPH algorithm
• Chapter 55 Graduation student academic performance analysis using corelated feature model
• Chapter 56 Pixelforge: image revamping through text and image input using pix2pix
• Chapter 57 Kalman integration with ARIMA & LSTM
• Chapter 58 Blockchain scalability solution using synchronization time
• Chapter 59 Improving job recruitment with an interview bot: a study on NLP techniques and AI technologies
• Chapter 60 Diabetes detection system using machine learning
• Chapter 61 Darknet traffic-based intrusion detection system
• Chapter 62 The features of event extraction & its scope: a systematic review
• Chapter 63 Impact of changing mobility speed on the performance of various protocols in hybrid (RF/VLC) wireless network
• Chapter 64 Development of a smart pill box to aid the elderly with their medication needs
• Chapter 65 Breaking through the mist: an in-depth analysis of task scheduling techniques in fog computing
• Chapter 66 Fuzzy assignment model with fuzzy approach
• Chapter 67 Design of low-cost smart wheelchair system to provide advance notifications related to pavement anomalies and objects on the path
• Chapter 68 Comprehensive review of VANET technology: an impeccable study
• Chapter 69 Assessment of land use land cover change dynamics using remote sensing techniques: a review
• Chapter 70 A robust hybrid deep learning model for acute lymphoblastic leukemia diagnosis
• Chapter 71 Effect of online gaming on mental health using machine learning techniques
• Chapter 72 Deep long short-term memory network for forecasting prices
• Chapter 73 Price prediction of cryptocurrency using deep learning models
• Chapter 74 An effective and reliable method for detecting brain tumors in magnetic resonance images
• Chapter 75 Mitigating the catastrophic impact of 1947: an exploration of the potential benefits of machine learning techniques for disaster response and recovery
• Chapter 76 An exploratory analysis of feature extraction techniques using NLP and text embedding methods
• Chapter 77 Cricket performance prediction: a data science method to ODI player analysis
• Chapter 78 Student identity verification solution using verifiable credentials on solana blockchain
• Chapter 79 A Review on Digital Image Forgery Detection
• Chapter 80 Optimizing the Discovery of Web Services with QoS-Based Runtime Analysis for Efficient Performance
• Chapter 81 Categorizing Brain Tumors from MR Images using CNN and its Variants
• Chapter 82 Key Management Protocol for Distributed Sensor Nodes
• Chapter 83 A proposed system for sentiment analysis using deep learning for facial recognition