Advancement of Intelligent Computational Methods and Technologies
CRC Press (Verlag)
978-1-032-78445-8 (ISBN)
the dynamic domain of intelligent computational methods and technologies, offering insights into the latest and upcoming trends in computation methods.
AICMT2023’s scope encompasses the evolutionary trajectory of computational methods, addressing pertinent issues in real time implementation, delving into the emergence of new intelligent technologies, exploring next-generation problem-solving methodologies, and other interconnected areas. The conference is strategically designed to spotlight current research trendswithin the field, fostering a vibrant research culture and contributing to the collective knowledge base.
Dr. O. P. Verma Professor, Delhi Technological University, Delhi, India Dr. Seema Verma Professor, Delhi Technical Campus, Greater Noida, India Dr. Thinagaran Perumal Associate Professor, Universiti Putra Malaysia, Malaysia
1. A Review on SML Based Diabetic Patient Classification and Prediction for Healthcare Domain
Satish Singh Mekale and Maumita Chakraborty
2. Brief Introduction to Healthy Food Ordering and Delivery
Md Shamsuzzama Siddique, Yashu Shanker, Ankit Raj, Sahil Kumar and Raj Mishra
3. Food Ordering Android App Using Firebase and Google Cloud
Abid Humza, Devansh Rangan, Asra Fatma, Pranjay Bhatt and Priyanka Dadhich
4. Ransomware Detection Using Machine-Learning Techniques
Saroj Dalwani, Nidhi Malik and Priya Arora
5. Optimizing Chatbot Interactions with ChatGPT: Prompt Engineering for Mental Health Applications
Hasir Ansari, Toyesh Kumar Saini, Ishan Sharma, Ankit Kumar Rajavat and Malik Nadeem
6. Diseases Detection Model and Prognostic Model Using Deep Learning: A Review
Shashi Kant Mourya and Ajit Kr. Singh Yadav
7. Multi Sports Time Series Prediction Using Machine Learning
Rishi Saxena, Aayush Agarwal, Vaibhav Gandhi, Deepu Maurya and Puneet Sharma
8. Blockchain Based Decentralized File Sharing System
Puneet Sharma, Manoj Kumar Shukla and Jayanti Pandey
9. Lip-Reading with Speech Emotions
Bhavya Satija, Sumanyu Dutta, Yash Sethi and Puneet Sharma
10. Review: Machine Learning-Based Network Intrusion Detection System for Enhanced Cyber-security
Preeti Lakhani, Syed Shahabuddin Ashraf, Bhavya Alankar and Suraiya Parveen
11. Bank Loan Approval Repayment Prediction System Using Machine Learning Models
Muskan Bali, Vansh Mehta, Anshul Bhatia, Nidhi Malik and Komal Jindal
12. Machine Learning Model for Heart Disease Prediction with Consideration of Optimized Hyperparameters
Ramani Kant Jha, Nishtha Deep, Radha, Aridaman Kumar and Seema Verma
13. Exploring Advanced Techniques for Enhancing Resolution of Images
Shivank Naruka, Shrey Gupta, Vinayak Saxena, Rishab Rana and Umnah
14. A Symphony of Signals: Machine Learning Enabled Parkinson’s Disease Detection via Audio Analysis
Through Various Algorithms
Shubham Tiwari, Kartikey Raghuvanshi, Sanand Mishra, Saakshi Srivastava, Ayasha Malik and Seema Verma
15. Exploring the Role of Machine Learning in Wine Quality Detection
Aditya Ranjan, Mayank Attrey, Gauransh Bhasin, Mohit Kumar and Malik Nadeem
16. Machine Learning System for Sales Series Forecasting: Data Analysis and Visualization Approach
Jhanvi Pathak, Vidhi Goel, Khushi Tanwar and Nidhi Sharma
17. Automating a Mobile Application Using Appium
Preeti Pandey, Nishchey Bhutani, Richa Thakur and Shubham Kr. Jha
18. Discovering Generic Medicine Substitutes Using Machine Learning and Deep Learning
Karishma Arora, Karan Sharma, Sweta Kumari, Soodit Kumar, Udhay Kaul and Anshul
19. Deepfake Detection Using AI
Saurav, Dheeraj Azad, Preeti Pandey, Mohammad Sheihan Javaid and Utkarsh
20. Comparative Analysis of Machine Learning Algorithms for High Electron Mobility Transistor
(HEMT) Modeling
Neda and Vandana Nath
21. Real-time Sentiment Analysis
Archit Sarna, Devyanki Sokhal, Manan Taneja and Yashi Rai
22. Review of Various Photovoltaic Cleaning Methods
Mayank Kumar, Dhruv Verma, Yash Aggarwal, Devesh Agarwal and Anuradha Tomar
23. Biometric Based Attendance System with Machine Learning Integrated Face Modelling and Recognition
Ritik, Sanidhya Gaur, Ashish Kumar, Rithik Nirwan, Chaitali Bhowmik and Neha Jain
24. Plant Disease Detection Using Deep Learning
Devesh Bisht, Akhilesh, Aditya Rawat, Ishant Bhatt and Kimmi Verma
25. Autonomous Driving Using Deep Learning
Uttam Sharma, Rohan Pal, Gaurav Sarosha, Pulkit Mathur, Yashu Shanker and Md Shamsuzzama Siddiqui
26. Credit Card Fraud Detection using Supervised Machine Learning Algorithm
Abhay Kumar Verma, Ankesh Kumar, Anjani Kumar and Itesh Bansal
27. A Social Media Authentication Tool with Real-Time User Verification and Fraud Detection Capabilities
Tripti, Yashashvi Gupta, Monika Kumari Baghel, Geetika Thakran and Ankit Gambhir
28. Sign Language Detection App Using Random Forest
Chaitanya Chawla, Archisman Tripathy, Neel Gupta, Kunal and Umnah
29. An Automated and Robust Image Watermarking System Using Artificial Intelligence/Machine
Learning Including Neural Networks
Gunjan Ahuja, Onkar Mehra, Muskan Aggarwal and Jashn Tyagi
30. Web Data Extraction Using DOM Parsing for Data Collection and Ontologies
Yuganshika Narang, Shamsher Singh Rawat, Devansh Sati, Ananya Singh,
Ayasha Malik and Seema Verma
31. A Videoconferencing Framework for Real Time Applications Based on MERN Architecture
Qasim Malik, Rudra, Rajeev Kumar, Upasna Joshi and Shivam Kumar
32. Automatic Exam Paper Generator Using Dynamic Structured and Intelligent Database
Avinash Singh, Lakshay Sharma, Akash Chauhan and Upasna Joshi
33. IoT Based Peltier Module Smart Refrigerator
Sarthak Aggarwal, Robin, Mohd Atif Wahid, Prabhat R. Prasad,
Nidhi Sharma and Neha Jain
34. Implementation of Machine Learning In IOT
Rohit, Nidhi, Alam Shadab, Nitish Sharma and Mohd. Atif Wahid
35. Review on Online Cloth Shopping
Udit Sharma, Ajay Krishnan, Shivam Saurabh and Kashish Malhan
36. An Advanced Clone for Over the Top Platform
Shahbuddin, Siddharth Sharma, Raghav Sethi, Tanupreet Sabharwal and Jatin Sharma
| Erscheinungsdatum | 26.04.2024 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 210 x 280 mm |
| Gewicht | 300 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| ISBN-10 | 1-032-78445-8 / 1032784458 |
| ISBN-13 | 978-1-032-78445-8 / 9781032784458 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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