Algorithms in Advanced Artificial Intelligence

This is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology.

Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide "paranormal solutions" to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI.

Autorentext

R.N.V. Jagan Mohan is working as an Associate Professor in Computer Science and Engineering Department from Sagi Rama Krishnam Raju Engineering College, China Amiram, Bhimavaram, Andhra Pradesh.

B. H. V. S. Rama Krishnam Raju is the Head of Department and Professor in Computer Science and Engineering Department from Sagi Rama Krishnam Raju Engineering College, China Amiram, Bhimavaram, Andhra Pradesh.

Vasamsetty Chandrasekhar is working as Head of the Department & Professor in Computer Science and Engineering Department from Sagi Rama Krishnam Raju Engineering College, China Amiram, Bhimavaram, Andhra Pradesh.

Tangirala Venkata Purna Krishna Prasad is working as Sr. Assistant Professor in Sagi Ramakrishnam Raju Engineering College, Bhimavaram, Andhra Pradesh.

Klappentext

Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide "paranormal solutions" to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI.

Inhalt

1. Emotional People's Views of Oropouche Virus Disease-Cuba while Checking Doctor's

Examination: A Hybrid Model Analysis

Bhupathiraju Nandita Lakshmi and R. N. V. Jagan Mohan

2. Leveraging Backpropagation to Forecast Dengue Fever Based on Weather Conditions

K. Gopala Varma, M. Chandra Naik and R. N. V. Jagan Mohan

3. Artificial Intelligence Techniques for the Early Diagnosis of Cardiovascular Disease Among

Diabetes Patient: A Review

Atyaf Alshehri and Eman Alqaissi

4. Bone Fracture Detection Using Residual Neural Network

Kondaveti Raja, K. V. Nageswari and G. Archana

5. Protection of Sensitive Information Utilizing AutoML and Merkel Tree based on AONT-EHR

T. V. K. P. Prasad, Gude Sujatha, T. Satish and N. Bhaskara Rao

6. Sustainable Shrimp Farming Aquaculture Using Approximate Nearest Neighbour

Manne Venkata Subbarao and R. N. V. Jagan Mohan

7. Unveiling the Power of Classic ML Techniques in Text Classification: A Comparative Approach

K.V. Narasimha Reddy, Dodda Venkatareddy, Singam Venkata Satya Vijaya Ganesh,

Boggavarapu Charan Deepak and Mekala Gopi Manikanta

8. Resilient Frequency Control of Islanded Microgrid Using Mother Optimization Algorithm

V S R Pavan Kumar Neeli and Nerella Sameera

9. Predictive Analysis of Cloned Voice to Commit Cybercrimes Using Generative AI Scammers

Dileep Kumar Kadali, K. S. S. Narayana, P Haritha, R. N. V. Jagan Mohan, Rambabu Kattula and

Kadali Sri Venkateswara Swamy

10. Quality Improvement Mechanism for Routing using Throw Boxes in DTN

Deepak Nedunuri, Ch. Ramadevi, K. Satyanarayana and Ch. Madhava Rao

11. Thyroid Disease Identification Using Machine Learning

G. Saranya, K. Suresh Babu, M. Sireesha, G. Anuradha, K. Chandrika and Y. Keerthi

12. Polycystic Kidney Disease Identification: Harnessing Deep Neural Networks for Accurate Diagnosis

P. Haritha, Yugandhar Bokka, Dileep Kumar Kadali, M. N. V. L. Narayana, V. Durga Rao and Rambabu Kattula

13. Secure Private Cloud Storage and Sharing Services with Jetson Orin Nano

T. Srinivasarao, N. Leelavathy, Gedela Triveni, Kolamuri Sai Praveen, S. S. S. Subrhamanya Karthik and Sontyana Jagan

14. Web-Based Early Stroke Detection: A Machine Learning Approach with Explainable Insights

K. Suresh Babu, Mahesh Babu Parchuri, Aswiniduth Muthireddy, Lakshmi Vara Prasad Gurram,

Naveen Satya Tallam, Shaik Khaja Mohiddin Basha and M. Sireesha

15. Optimizing Real Time Intrusion Detection for Enhanced Network Security

N. Madhuri, R. Tamilkodi, Katari Meghana, Gonna Amrutha, Sada Surendra, and Madasi Sri Hari

16. Enhancing Cybersecurity with AI: A Deepfake Detection Framework Using InceptionResNetV2 and LSTM

R. Tamilkodi, A. Harika, Jetti Siva Kumar, P. M. V. D. Siva Kumar, Chadaram krishnasai, and M. R. N. Venkata Akhil

17. Enhancing Industrial Internet Security with Blockchain-Based Equipment ID

V. Bala Shankar, R. Tamilkodi, CH. Nikhitha, D. Venkata Narayana Reddy, E. Sanjay and K. Venkanna Babu

18. Performance Evaluation of Different Machine Learning Models in Predicting Stock Prices Assisted by Volume Data

Krishna Kanth Varma P, Jaswanth A. N. V, Venkatesh P, Tarakeswar M, Purna Rama Satya Sai M and Chalapathi Raju K

19. An Enhanced Deep Learning Approach for Brain Tumor Detection

Subbaraju Pericherla, Ramsai A, JNVA Prasad, B Abhiram, B Sai Pavan and Lakshmi Hyma Rudraraju

20. Implementation of Block-Chain Technology Using Forensic Evidence Management

N. Madhuri, R. Tamilkodi, K. Sindhu, MD. Afzal Khan, K. Hari Shankar and J. Vinod Kumar

21. Detection of Application Layer DDOS Attacks Produced by Freely Accessible

Toolkits using Machine Learning

K. Saritha, R. Tamilkodi, V. Pavana Ganga, Ch. Rashwitha, G. Poorna Sai and Ch. Deva Satyandra

22. Voice-Assisted Artificial Intelligence Based Question Answering System for the Visually Impaired

B. Sindhu, B. Bhagya Preethi, S. Leela Venkata Lakshmi, B. Praveen Reddy and S. Srinivas Kiran

23. Automatic Literature Review Generation on Research Papers Using Deep Learning

P. Nagamani, J Udaya Sri, T Gowri Priyanka, Aman Kumar and M Rakesh

24. Contextual Audio Description: Real-Time Image Analysis for Visually Impaired

P Nagamani, S Manikanta Bhaskar Reddy, P Gangadhar, G Rachana and M Bala Nagendra

25. Novel Vehicle Damage Detection, Repair Cost Estimation Using Deep Learning Techniques

P. Kranthi Kumari, B. Prasanna, T. Ritik Chaudhary, A. Janesh and P. Blessy

26. Integrating RF Signal Analysis and Deep Learning for Effective Drone Classification and

Detection of Drones

Suseela Digumarthi, P. Swathi, N. Satish Kumar Reddy, B. Bhargava Sai and N. Veera Venkata Sai Kumar

27. Machine Learning Approach for Intelligent Traffic Management

B. Sindhu, A. Mounika, J. Priya, D. Vinod Kumar and N. Rajkumar

**28. Sky Guard: A Vision Based Drone Vs. Bird Detection and Alert System Using D…