1st Edition
Recent Advances in Sciences, Engineering, Information Technology & Management
This conference covered various interdisciplinary areas such as applied science, physics, material science, and engineering. The audience got a chance to encircle the various interdisciplinary areas and people working on recent technologies in science, engineering, information technology and management. It was based on the theme of converging interdisciplinary topics into a single platform, which helped the participants to think beyond their area and increase their canvas of research.
1. Use of artificial intelligence for enhanced prevention strategies in diabetic kidney disease
2. Cybersecurity and data science innovations for sustainable development of healthcare, education, industries, cities, and communities
3. Handling Knowledge Graphs
4. Predictive Analytics on Sustainability to Identify Main Determinants Affecting ESG
5. Cyber hacking breaches prediction using deep learning model
6. Multi-class traffic sign recognition
7. Voting-based aggregation in federated learning to prevent poisoning attack
8. Machine learning based framework for semantic clone detection
9. Smart farming using machine learning algorithm
10. Advancements in WSN and ML for early forest fire detection
11. Short survey on lightweight algorithms for cloud data storage
12. Adoption of blockchain technology enabled cryptocurrencies
13. Cryptanalysis along with intention decoding in the encrypted corpus of text using attention transformer mechanism
14. Analytical review on lung cancer identification
15. Human detection and count with python
16. Optimizing k-means clustering with focus on time-efficient algorithms
17. Integration of haptic technology and machine learning for driver safety
18. DeFiFunder-Crowdfunding using blockchain
19. A thorough analysis of cloud computing technology
20. Mining anti-social behavior in Twitter conversations
21. A survey on diagnosis of breast cancer using machine learning
22. Early autism spectrum disorder identification in toddlers
23. A framework for prediction and prevention of cybercrime using machine learning model
24. Navigating queues in healthcare
25. Machine learning feature extraction technique for predicting air quality
26. Deep analysis of chatbots
27. Lie detection prediction model using deep learning technique
28. Unravelling learning styles
29. Integrating multimodal imaging for precise brain tumour detection a comprehensive image processing approach
30. Performance analysis of multistage brain tumour detection and diagnostic methods using deep learning
31. A comprehensive study of artificial intelligence-based knowledge-based system
32. Leaf disease detection using deep learning techniques
33. Optimizing fake news detection through bidirectional encoder representations from transformers
34. Particle swarm optimization approach to heterogeneous function
35. Coral reef health and diseases detection
36. Generative AI-based image generation
37. Optimization of similarity measures technique for short descriptive answer script evaluation
38. An in-depth comparative analysis of malware detection techniques
39. A comprehensive study of knowledge-based system and their advanced fuzzy techniques
40. Enhancement in trust-based approach for MANET using optimization techniques
41. Proactive health tracking and dietary optimization using machine learning and computer vision
42. Real-time motion capture for interactive animation
43. A comparative study between classical SVM and quantum SVM for Reynolds fluid flow classification
44. Crop fertilization using unmanned aerial vehicles (UAV’s)
45. Advanced AI and ML techniques for Indian medicinal plant identification
46. An Advanced Secure Scalable Algorithm in the Era of Serverless Computing for Facilitating Scalable and Security in Cloud innovation
47. A prototype framework for customizing virtual reality interactions for paralyzed patients integrating physical and rehabilitation modalities
48. An advance trinity framework for AI driven robot assistance in entertainment, health and security
49. A technical framework for IoT-driven trafficml approaches in real-time traffic management and monitoring system
50. Exploring the predictive power of explainable AI in student performance forecasting using educational data mining techniques
51. An approach for medical imaging analysis for detection of brain tumour using deep learning methods
52. Exploring the potential of explainable AI in analyzing internet of behavior data for personalized healthcare applications
53. Handcrafted Feature-Based Machine Learning Approach for Face Occlusion
54. Attention-enhanced convolutional neural networks
55. Augmented reality and virtual reality in medical training and surgical procedures
56. Arduino-based solid waste and gas management system
57. Virtual business card using NFC technology
58. Design of disease recommendation system for neurological disorders using LLaMA2 model for biomedical applications
59. AI-based healthcare chatbot
60. Association between progressive advertising and consumer viewing and as a persuasive instrument for buying
61. Software defect detection using the Salp Swarm Algorithm by increasing the weight to predict better performance using CNN
62. Implementation of AI in humanities and social sciences
63. Cloud computing and navigating its secureness
64. Redefining HRM in the Age of Artificial Intelligence
65. Analyzing stone column behavior with FEM in PLAXIS 2D
66. Prediction of hydraulic conductivity of unsaturated soil using machine learning
67. A novel cognitive radio frequency-resolution using machine learning algorithms
68. Design of an efficient model for unified transportation system integration
69. Conceptualization of artificial intelligence-led innovation framework for better agricultural development in India
70. BNOGMCT
71. Deep dive into precision (DDiP)
72. Analysing the impact of surging tomato prices through supervised learning approaches
73. Digital business card using NFC-enabled card
74. Gesture-based digital art creation with finger mounted bead
75. Information security and privacy preserving in mining techniques and their impact on data mining accuracy
76. Thermogravimetric analysis of marble dust powder and hydroxyapatite particulate filled dental restorative composite materials
77. Evaluation of deep learning and machine learning-based attrition rate forecasting in the telecommunications sector
78. Review on possibility of chicken feather fibre in composite materials
79. Carpal tunnel syndrome prediction model implementing machine learning
80. The evolution and impact of e-learning
81. Green technology for removal of total dissolved solids from ground water for sustainable development
82. Pesticide substance of p-nitroaniline degradation by photo-catalytic reaction using semiconductor ZnO and H2O2 for sustainable development
83. Advanced oxidation processes
84. Ethical issues and challenges
85. Effect of different EDM working fluids on removal of material using EDM on AISI 4140 steel
86. Implementation of mitigation techniques for the improvement of output power of the solar to high-quality power
87. Analyzing the performance of plain cement concrete with the effective use of terracotta clay and lime powder involves evaluating various aspects such as workability, compressive strength, tensile strength, and cost-effectiveness
88. Decision making in health care using fuzzy set theory
89. Speech emotion recognition system using deep learning
90. Statistical analysis based AI model for employment and economic growth
91. Empowering green transportation
92. CLASSMO model
93. The analysis of biological techniques and augmentation in mood metrics for software maintainability and dependability
94. Deep Learning Techniques for Hierarchical Video Summarization
95. Advancements in brain age detection
96. Design analysis and implementation of two stages operational amplifier
97. Awareness of E-waste management on various age groups
98. Optimizing sense amplifier flip flop performance
99. Design and implementation of Baugh-Wooley signed multiplier using verilog
100. ChatGPT as a virtual data science assistant
101. Automatic number plate recognition using advanced deep learning techniques
102. Cloud coverage measurement system
103. Smart bridge collapse prevention system
104. Emotion detection for facial features recognition using deep learning approach
105. A comprehensive approach to detecting diseases in multiple fruits using deep learning techniques
106. Handwritten mathematical equation detection and parsing
107. Smart emotion based music player system using face detection
108. Revolutionizing public transportation
109. Enabling sustainable vertical agriculture
110. Decoding tweets in crisis
111. Efficiency evaluation of linear classifiers on early symptoms of lung cancer
112. Detection of Parkinson disease using machine learning techniques
113. Decentralized social networking
114. Investigations of smart multiphase power converters for fault-tolerance in aerospace machine applications
115. Investigation of multi-robot coordination and cooperation through reinforcement learning for manufacturing processes
116. Paving path for AI-driven education system
117. Developing a security infrastructure harnessing machine learning algorithm for comprehensive big data scrutiny
118. Developing a unified theoretical model for AI adoption in cyber security across different industry sectors
119. Analysis for traffic forecasting in wireless systems using big data on deep learning and machine learning methods
120. Intelligent system study on design for an IoT security framework using machine learning
121. Blockchain
122. Improving embedded systems’ dynamic power management with reinforcement learning
123. IOT based smart energy monitoring system
124. MediMove smart medicine dispenser and reminder
125. A self predictive and diagnostic healthcare chatbot using machine learning approach
126. Harnessing the power of humans and machines
127. Artificial intelligence and electoral decision-making
128. A review on novel applications of wavelet-fractal technique in image processing
129. Adaptive and Efficient Streaming Data Analysis
130. Secure encryption and decryption protocol for IoT communication to mitigate man-in-the-middle attacks
131. Neural network-based solutions for modern fingerprint identification challenges
132. Novel- Multifactor Authentication (N-MFA) with endpoint privilege management using OpenID connect protocol-based security optimization technique for web-applications
133. Predictive analytics for early-onset alzheimer’s disease
134. Optimizing the EVM with internet and blockchain technology
135. Optimizing power generation
136. Integration of renewable energy sources into electric vehicle charging infrastructure
137. Enhancing edge security with cognitive computing and multi-agent machine learning
Biography
Dinesh Goyal is currently working as Professor, Director and Principal at Poornima Institute of Engineering and Technology, Jaipur, India. He has published more than 200 articles in the field of computer science in SCI, Scopus indexed journals/conference proceedings.
Bhanu Pratap is currently working as Associate Professor, Poornima Institute of Engineering and Technology, Jaipur, India. He has published many research articles in SCI, Scopus indexed journals/conference proceedings.
Sandeep Gupta holds a PhD in Engineering from India and an MBA from Europe. With a rich professional background spanning IT role at prominent companies like Accenture, EY, Telecom Italia, and the TATA Group, he brings extensive expertise to the field. His research interests lie in the cutting-edge areas of Artificial Intelligence and Nanotechnology.
Saurabh Raj is currently working as Associate Professor, Poornima Institute of Engineering and Technology, Jaipur, India. His research interest includes microstrip patch antenna design and wireless communication. He focuses on design and fabrication on microstrip patch antenna for non-invasive blood glucose level monitoring.
Rekha Rani Agrawal holds a Ph.D. from the Science College affiliated with Mohanlal Sukhadia University, Udaipur, which she completed in 2002. Her research is focused on the photocatalytic degradation of dye compounds. With 17 years of teaching experience, she has instructed both undergraduate and postgraduate students at various government and private colleges.
Indra Kishor is working as an Assistant Professor in the Department of Computer Engineering, PIET, Jaipur. He has 10 years’ experience in academics and 4 years of industrial experience in Microsoft and BlackBerry. He has published 44 research papers in many immersive technologies like Metaverse, IoT.
