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
Editat de Ashok Kumar, Geeta Sharma, Anil Sharma, Pooja Chopra, Punam Rattanen Limba Engleză Paperback – 24 mai 2024
Preț: 274.49 lei
Preț vechi: 315.56 lei
-13% Nou
Puncte Express: 412
Preț estimativ în valută:
52.54€ • 54.76$ • 43.73£
52.54€ • 54.76$ • 43.73£
Carte tipărită la comandă
Livrare economică 06-20 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781032553870
ISBN-10: 1032553871
Pagini: 844
Dimensiuni: 174 x 246 mm
Greutate: 1.56 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Conference Proceedings Series on Intelligent Systems for Engineering Designs
Locul publicării:Boca Raton, United States
ISBN-10: 1032553871
Pagini: 844
Dimensiuni: 174 x 246 mm
Greutate: 1.56 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Conference Proceedings Series on Intelligent Systems for Engineering Designs
Locul publicării:Boca Raton, United States
Public țintă
Academic and PostgraduateNotă biografică
Dr. Ashok Kumar
is currently working as Professor in Lovely Professional University, Punjab, India. He is PhD in Computer Science and Engineering from Thapar University, Punjab, India. He did Master of Technology (M. Tech.) in Computer Science and Engineering from Punjabi University, Patiala, India. He has 20+ years of teaching and research experience. He has filed 20 patents, out of that three patents have been granted. He has published several research articles in International Journals and Conferences of repute. His current areas of research interest include Cloud/Fog/Edge Computing, Internet of Things, and Machine learning. Further, he is supervising 4 PhD scholars and 2 ME students.
Dr. Geeta Sharma
is currently working as an Assistant Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. She has received her Ph.D. degree in Computer Science in full time from Guru Nanak Dev University, Amritsar, Punjab, India. She has received her master’s degree from the same University. She has 9 years of teaching and research experience. She has more than 25 research publications in International Journals and conferences. Her research is published in reputed SCI journals like Springer, Elsevier, and Taylor and Francis. She is an active reviewer in Springer and IEEE. She has 6 filed patents. Her research areas include Machine Learning, Fog/ Cloud computing, IoT and Network Security. Currently, she is supervising 4 PhD scholars.
Dr. Anil Sharma
is currently working as a Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. He has 23 years of teaching experience. He has more than 70 research publications in high reputed journals. His current areas of research interest include data science. He has supervised 5 PhD scholars.
Dr. Pooja Chopra
is currently working as an Associate Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. She has 18 years of teaching experience. She has more than 15 research publications in high reputed journals. Her current areas of research interest include Artificial Intelligence and Cloud Computing. She has filed 4 patents. She is supervising 1 PhD scholar.
Dr. Punam Rattan
is currently an Associate Professor and DII (Division of Industry Interface) at School of Computer Application Lovely Professional University in India. Along with dual master’s degrees in computer applications (MCA) and business administration (MBA), she graduated from IKG Punjab Technical University with a Ph.D. in computer applications. She has 20+ years of teaching experience. She is a prolific author, having published over 30 research papers in esteemed journals and conferences like IEEE Xplore, SCOPUS, and SCI-indexed publications, in addition to three books. Dr. Rattan has significantly advanced data mining and machine learning fields with his research. She is supervising 6 PhD scholar and 1 scholar has already turned in her thesis.
is currently working as Professor in Lovely Professional University, Punjab, India. He is PhD in Computer Science and Engineering from Thapar University, Punjab, India. He did Master of Technology (M. Tech.) in Computer Science and Engineering from Punjabi University, Patiala, India. He has 20+ years of teaching and research experience. He has filed 20 patents, out of that three patents have been granted. He has published several research articles in International Journals and Conferences of repute. His current areas of research interest include Cloud/Fog/Edge Computing, Internet of Things, and Machine learning. Further, he is supervising 4 PhD scholars and 2 ME students.
Dr. Geeta Sharma
is currently working as an Assistant Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. She has received her Ph.D. degree in Computer Science in full time from Guru Nanak Dev University, Amritsar, Punjab, India. She has received her master’s degree from the same University. She has 9 years of teaching and research experience. She has more than 25 research publications in International Journals and conferences. Her research is published in reputed SCI journals like Springer, Elsevier, and Taylor and Francis. She is an active reviewer in Springer and IEEE. She has 6 filed patents. Her research areas include Machine Learning, Fog/ Cloud computing, IoT and Network Security. Currently, she is supervising 4 PhD scholars.
Dr. Anil Sharma
is currently working as a Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. He has 23 years of teaching experience. He has more than 70 research publications in high reputed journals. His current areas of research interest include data science. He has supervised 5 PhD scholars.
Dr. Pooja Chopra
is currently working as an Associate Professor in the School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India. She has 18 years of teaching experience. She has more than 15 research publications in high reputed journals. Her current areas of research interest include Artificial Intelligence and Cloud Computing. She has filed 4 patents. She is supervising 1 PhD scholar.
Dr. Punam Rattan
is currently an Associate Professor and DII (Division of Industry Interface) at School of Computer Application Lovely Professional University in India. Along with dual master’s degrees in computer applications (MCA) and business administration (MBA), she graduated from IKG Punjab Technical University with a Ph.D. in computer applications. She has 20+ years of teaching experience. She is a prolific author, having published over 30 research papers in esteemed journals and conferences like IEEE Xplore, SCOPUS, and SCI-indexed publications, in addition to three books. Dr. Rattan has significantly advanced data mining and machine learning fields with his research. She is supervising 6 PhD scholar and 1 scholar has already turned in her thesis.
Cuprins
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
Descriere
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.