Advances in Networks, Intelligence and Computing
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Advances in Networks, Intelligence and Computing: Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023)(Conference Proceedings Series on Intelligent Systems for Engineering Designs)

Advances in Networks, Intelligence and Computing: Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023)(Conference Proceedings Series on Intelligent Systems for Engineering Designs)

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International Edition


About the Book

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


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Product Details
  • ISBN-13: 9781032553870
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 246 mm
  • No of Pages: 814
  • Sub Title: Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023)
  • Width: 174 mm
  • ISBN-10: 1032553871
  • Publisher Date: 24 May 2024
  • Binding: Paperback
  • Language: English
  • Series Title: Conference Proceedings Series on Intelligent Systems for Engineering Designs
  • Weight: 1410 gr


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