The 1st International Conference on Disruptive Technologies in Computing and Communication Systems (ICDTCCS - 2023) has received overwhelming response on call for papers and over 119 papers from all over globe were received.
The 1st International Conference on Disruptive Technologies in Computing and Communication Systems (ICDTCCS - 2023) has received overwhelming response on call for papers and over 119 papers from all over globe were received. We must appreciate the untiring contribution of the members of the organizing committee and Reviewers Board who worked hard to review the papers and finally a set of 69 technical papers were recommended for publication in the conference proceedings. We are grateful to the Chief Guest Prof Atul Negi, Dean Hyderabad Central University, Guest of Honor Justice John S Spears -Professor University of West Los Angeles CA, and Keynote Speakers Prof A. Govardhan, Rector JNTU H, Prof A.V.Ramana Registrar S.K.University, Dr Tara Bedi Trinity College Dublin, Prof C.R.Rao Professor University of Hyderabad, Mr Peddigari Bala, Chief Innovation Officer TCS, for kindly accepting the invitation to deliver the valuable speech and keynote address in the same. We would like to convey our gratitude to Prof D. Asha Devi - SNIST, Dr B.Deevena Raju ICFAI University, Dr Nekuri Naveen - HCU, Dr A.Mahesh Babu - KLH, Dr K.Hari Priya Anurag University and Prof Kameswara Rao SRK Bhimavaram for giving consent as session Chair. We are also thankful to our Chairman Sri Teegala Krishna Reddy, Secretary Dr. T.Harinath Reddy and Sri T. Amarnath Reddy for providing funds to organize the conference. We are also thankful to the contributors whose active interest and participation to ICDTCCS - 2023 has made the conference a glorious success. Finally, so many people have extended their helping hands in many ways for organizing the conference successfully. We are especially thankful to them.
1. Spatiotemporal Mobility Based Trajectory Privacy-Preserving in
Ubiquitous Computing Environment
2. Usage of Artificial Neural Networks to
Detect Fake Social Media Accounts
3. Performance Evaluation of Text Classifier for NLP using Machine Learning
Techniques
4. A Secure AOMDV Protocols Design and Implementation in Mobile
Adhoc Network Cryptography
5. Enhancing Cyber security: Evaluating Machine Learning Algorithms for
Effective Threat Detection and Classification
6. AI Based Improved Vehicle
Detection and Classification in Patterns Using Deep Learning
7. Enhancing Cyber security: Evaluating Machine Learning Algorithms for
Effective Threat Detection and Classification
8. Machine Learning Technique
for Parkinsons Disease Prediction
9. Detection and Prevention of DDoS Attacks in Software-Defined Cloud
Networks Using Advanced Support Vector Machine
10. An Efficient Early
Software Reliability Prediction using Particle Swarm Optimization (PSO)
11. Enhanced Decision-Making and Predictive Analytics in IoT Implementing
Random Forest Classifier
12. A Survey of IoT Considerations, Requirements,
Architectures and Their Potentials for Machine Learning Applications
13. Design and Implementing of Brain Tumor Detection with Multilevel
Roi-Based Features Using ANN
14. Role of Machine Learning in Food Industry: A
Survey
15. An Intrusion Detection System Using Principal Component Analysis and
Extreme Gradient Boosting
16. A Cloud Computing Hierarchical Hybrid Intrusion
Detection System Using Machine Learning
17. Design and Development of Secured Blockchain-based Platform in Edge
Computing Environment
18. Event Cameras for Parkinsons Disease Diagnosis: A
Preliminary Study
19. Novel Computer Vision and Color Image Segmentation for Agriculture
Application
20. Attention-based Multi-Task CNN U-Net for Kidney Tumor
Segmentation and Classification
21. A critical Analysis for Early Chronic Liver Disease Detection by using
Machine Learning Techniques
22. Internet of Vehicle Ad Hoc Networks (VANETs):
Anomaly Detection Algorithms
23. Supervisory Approach Applying AWS Services
24. Summarizing Customer
Reviews Based on Feature Extraction and Opinion Mining for Online Products
25. Secure Efficient and Cloud-Centric Smart Healthcare System with Public
Verifiability and Internet of Medical Things (IoMT)
26. Pancreatic Cancer Disease Prediction with Ensemble Learning and
Regularization Techniques for Outlier Handling and Overfitting Mitigation
27.
Integrating Sentiment Analysis and LSTM to Predict Price Movements in Stocks
28. Enhancing Disease Prediction Accuracy: Leveraging Random Forest Out of
Bag for Early Detection and Diagnosis in Healthcare
29. Effective
Unauthorized Vehicle Detection System for Intelligent Transportation
30. Privacy and Security in Intelligent Devices
31. Accident Analysis and
Detection System Based on Traffic Surveillance Videos
32. A Comprehensive
Survey on Brain Tumor Classification from MRI Images Using Artificial
Intelligence
33. Performance Analysis of Text Classification Machine Learning Models
34. A
Secure Routing Machine Learning Algorithms for Driverless Vehicles
35. GUI Based Market Movement Using Digital and Binary
36. Extracting
Trending Topics from Social Media Posts Using Word Embedding Based Clustering
37. Heart Disease Prediction System Using Machine Learning
38. A Systematic
Review on Predicting Skin Cancer Disease Using Deep Learning
39. Privacy
Preservation in Dynamic Data Through Synonymous Linkage on Micro Aggregation
40. Design a Secure Authentication Protocol for Blockchain Based Sharing of
Electronic Health Records
41. Enhanced Feature Based Attribute Encryption for
Data Privacy and Access Control
42. Image Forgery Detection Using Sobel Edge Detection, Feature Extraction
43. K Nearest Neighbour: A Dynamic Model
44. A Survey on Efficient Memory Management in Large-Scale Deep Learning
Optimization
45. Firmware Security: Challenges, Vulnerabilities, and
Mitigation Strategies
46. Designing a Multi-Sensor Based Wireless Sensor Network System for
Monitoring the Wellness of Elderly Individuals: Experimental Studies
47. Transfer Learning Based Kidney Stone Detection in Patients Using ResNet50
with Medical Images
48. System for Managing Batteries in Electric Vehicles
49. Improved Light Weight Crypto System for Secure Image Sharing Using IoT
50. An Approach to Recognize Hand Gestures Using Convolution Neural Networks
and Recurrent
Neural Networks
51. Comparative Study of Spatial and Frequency DomainImage
Steganography Techniques on Grayscale Images
52. Molecular Interactions in
Binary Liquid Mixtures
53. ROSE: Robustness Strategy for Scale-Free Wireless Sensor Networks
54.
Enhanced Power Quality Management with DSTATCOM and Model Predictive Control
55. Design and Implementation of Area Efficient MAC Unit Using Reversible
Logic Gates
56. A Novel Bionic Eye with a Nanowire Array Artificial Retinal
Regeneration
57. ICU Monitoring System Using Zynq Architecture Based SoC
58. Noise
Cancellation of Electrocardiogram Signal Using Moving Average Filter
59. The Smart Home Technology by WSN and GSM Using Mobile Applications MAN
60. Grid-connected Single-stage PV System
61. Reliability Evaluation of
Distribution System Using Micro-Grid Model
62. Design of Electrical Vehicle Lithium Battery Charger Using MATLAB
Simulink
63. Design of Highly Isolated Wearable Textile MIMO Antenna for
Portable Wireless Applications in
Sub-6GHz Band
64. Brain Tumor Based on Berkley Wavelet Transformation by
Using Image Processing
65. Enhancing Visual Features Investigating the
Synergy of Gamma Correction and Wavelet Transform in
Image Enhancement
66. Numerical study of MHD Stagnation-Point Flow of
Nanofluid Flow Past a 3-D Sinusoidal Cylinder with Thermophoresis and
Brownian Motion Effects
67. Network Slicing in 5G for the Emerging Commercial Needs and Networking
Challenges
68. Digital Electronic Voting Machine Using Verilog
69. Live
Sketch for Computer Vision
Dr. K Venkata Murali Mohan, an accomplished Electronics & Telecommunications Engineer from Nagpur University, Nagpur. He has completed his M.Tech from JNTU, Kakinada, Ph.D from Acharya Nagarjuna University in Computer Science Engineering(2016) and Ph.D from Rayalaseema University, Kurnool in Electronics and Communications Engineering(2019). He is a hard core academician who believes in powerful learning which transforms the students into practically skilled serviceable engineers. Dr.K Venkata Murali Mohan has more than 20 years of experience in teaching & administration and in field. As a resolute educationalist, he has endeavored to publish text books and research papers which outlines his educational tendencies. He is a paragon of energy, enthusiasm, productiveness and competence whose intellectual ability and propriety go all the way in nurturing the students and faculty members to create a collaborative partnership. He is an optimist who believes in close connectivity among students, parents, teachers and support staff, striving to create a milieu that sustains excellence. His distinction lies in his commitment for the cause of the students, to help them to focus on confidence building, while nurturing an intense sense of social and environmental responsibility through academic and co-curricular activities. He continues to strive towards the attainment of his organizational goals in the interest of the TKRES.
Dr. M. Suresh Babu is a seasoned professional with over 26 years of experience in Teaching and Student Management. He is a Professor and Dean at Teegala Krishna Reddy Engineering College in Hyderabad. Given his various roles in the field, he has a strong background in computer science and engineering. Dr. M. Suresh Babu possesses a diverse skill set and has experience in both the software industry and academia. His experience spans both the technical and educational realms, showcasing a well-rounded professional with expertise in software development and a dedication to teaching and student management. Dr. Sureshs roles span various responsibilities, from academic leadership and project guidance to administrative coordination and external examination activities. He has a diverse and extensive involvement in different academic and administrative roles. Dr. M. Suresh Babu is actively involved in academic publications and holds various editorial roles in reputed journals. Additionally, he is a member of several professional bodies. He has contributed over 150 technical papers and is a freelance editor for several Telugu and English newspapers. Dr. M. Suresh Babu is the Chairman of Doctoral Committees, overseeing and guiding doctoral research in various universities. His achievements reflect a dedication to both academic and community service, showcasing a well-rounded commitment to research, education, and social welfare
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