Advances in Networks, Intelligence and Computing (eBook, PDF)

Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023)
Redaktion: Kumar, Ashok; Rattan, Punam; Chopra, Pooja; Sharma, Anil; Sharma, Geeta

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 844
• Erscheinungstermin: 24. Mai 2024
• Englisch
• ISBN-13: 9781040017098
• Artikelnr.: 70477757

Autorenporträt

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.

Inhaltsangabe

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