Advances in Computational Intelligence and Its Applications

1. A Non Conventional Pre-Processing Method for Financial Risk Analysis Data
Vikram Kalvala and Sheikh Fahad Ahmad

2. An Analytical Study of Sentimental Analysis During COVID-19 Pandemic
Patlolla Mani Chandana, Sura Mythri, Sheikh Fahad Ahmad and Shadab Siddiqui

3. SQL Injection Attacks: Exploiting Vulnerabilities in Database Systems
D. Usha Sree, P. Harshitha Reddy, G. Vineel Kumar Reddy and M. Sumanth

4. Energy Efficient Clock Synchronization Method in IoT Applications
Saijshree Srivastava, Abhishek Sharna, Surendra Singh Chauhan and Smiley Gandhi

5. Farm to Home: An e-commerce Application for Farmers and Consumers
N. Anusha, Pyata Sai Keerthi, Manyam Ramakrishna Reddy, A. Ramesh and M. RishithIgnatious

6. Smart Farming: The Future of Agriculture
Manjunadha Mallina, Sakinala Sri Sai Pawan, Narra Manas, Anuradha Nandula and Subhranginee Das

7. Literature Review Energy Efficient i Street Lighting System
Sumeet Sharma, Jaina Vamshi and P. Prithish Sai Reddy

8. Robotics in Medical and Health Care: A Critical Review
Narra Manas, Sakinala Sri Sai Pawan, Manjunadha Mallina and Dasari Anantha Reddy

9. Automatic Speed Control of Vehicles at Accident Zone
Hanumanthu Manasa, Ega Sri Harsha and Teepireddy Nikitha Reddy

10. Crime Detection Using Vehicle Number Plate
Anirudh Aseel, Patlolla Mani Chandana and Sree charan Mamidi

11. Automated Speech Analysis for Early Identification and Prediction of Depression:
A Comprehensive Study
Satya Sreekar Pattaswami

12. An Ensemble Approach for Pneumonia Detection from Chest X-rays
Ch Sahith Reddy, Pavan Kumar, Sreekanth Sunkara, Raj Parikh, Naresh Gainikadi and Ravi Boda

13. A Novel Concurrent Data Collection Protocol for IoT Networks
Rakesh Matam and Subhash P

14. Implementation of Converting Indian Sign Language into Indian Language Using IoT-based
Machine Learning Algorithms
D. Sivabalaselvamani, D. Selvakarthi, L. Rahunathan, S. Gokulprasath, D. Jagane and S. Logeshwar

15. A Comprehensive Survey on Deep Fake Object Creation and Detection: Challenges, and
Future Directions
Mainak Saha, Sourav Dey Roy, Santanu Das and Mrinal Kanti Bhowmik

16. Development of Renal Tumor Accuracy Prediction Model Using Machine Learning Algorithms
D. Sivabalaselvamani, D. Selvakarthi, K. Nanthini, K. Iswarya and M. Maheshwari

17. Attendence System based on Viola-Jones Algorithm and PCA
Kotrangi Sagar, N. Kalyan Yadhav, R. Venkatesh, P. Anvesh and C. N. Sujatha

18. Encipher Image Transmission Through MIMO System with Rayleigh Fading Environment
Using AES Encryption Algorithm
Krishna Dharavathu, Jammula Lakshmi Narayana, T Anand Babu, Itta Asha Latha,
Marella Lakshmi Srujitha, Narisetty Geethika and Challapalli Sai Sri Ram

19. A Comparative Study of Stock Return’s Analysis and Prediction with the Impact of Macroeconomic
Variables Using SVM and LSTM
Kallol Chandra, Gopinath K., K. T. Thomas and Kedar Shankarrao Vishnu

20. Machine Learning Model for Improving the Overall Equipment Effectiveness in Industrial
Manufacturing Sites
Biswaranjan Senapati, Awad Bin Naeem and Renato R. Maaliw III

21. Hashgraph and Fog Computing Based Novel Framework for Online Teaching-Learning and
Content Delivery
Naveen Tewari, Sandeep Budhani, Mukesh Joshi, Arun kumar Rai and Pankaj Kumar

22. A Review of Churn Prediction in Telecommunication Industry
Aditi Chaudhary, Ali Rizvi, Navneet Kumar and Ashish Kumar Mishra

23. Speech Emotion Recognition (SER) on Live Calls While Creating Events
Rampelly SaiSree, Battula Pranavi, Chandhu Pullannagari, N. Srinivasa Reddy, and C.N Sujatha

24. Predicting Malignancy from Breast Histopathological Images Using Deep Neural Networks and
Baseline Classifiers
Anindita Mohanta, Sourav Dey Roy, Niharika Nath and Mrinal Kanti Bhowmik

25. Framework for Home Layout Design by Semantic Parsing of Text
Rushab Prakash Kulkarni, Shambhavi M. Puttane, Sai Mihir J., Jayashree R. and
Shane Hansel Mendon

26. URL Phishing Prediction with GUI Implementation Using Machine Learning
Ganditi Yoginath, Charian Sai Ganesh Reddy, Kalahastri V.N.S Revanth Kumar,
C. N. Sujatha and V. Raghavendra

27. Smart Farming with Fire Security System
Kandula Hemanth Kumar, Ball Mukund Mani Tripathi, Krishna Chaitanya Bodepudi,
Sri Vidya Punnamaraju and Nedunuri Sai Vijaya Ramya

28. Generation of 3D Images from Single View 2D Images Using Autoencoder
C. N. Sujatha, CH. Pranathi, N. Hari Kumar Reddy and G. Sushma

29. Attention Based Bidirectional LSTM Model for Data-to-text Generation
Abhishek Kumar Pandey and Sanjiban Sekhar Roy

30. A Conceptualized Study on Blockchain Technological Algorithms, Cyber-Attacks and
Application Perceptions
Vivek Khirasaria, Suresh Kaswan, Lisha Yugal and Akanksha Shangloo

31. Computation of Environmental Deterioration by Observation of Annual NDVI Changes
Anubhava Srivastava and Susham Biswas

32. Comparative Analysis of Deep Learning Techniques for Fast Detection of COVID-19 Using CXR Images
Shahid Kamal, Mohammad Sarfraz, Sumaiya Fatma, Ifat Al Fatma,
Shagufta Parween and Muhammad Al Maathidi

33. Accident Evasion and Warning System
Pramilarani K., V. Reddy Dheeraj, B. Meenakshi Sundaram, Maneesh Reddy Duddukunta and V
amshika Sushma Appaji

34. Crowd Counting for Risk Management Using Deep Learning
Sanjay Raghavendra, Sri Tanmayi Ch, Srishti Hiremath, M. Dhanalakshmi and Rajalaksmi

35. Tamil Character-Size Reduction Method for Storage of Large Amount of Data
P. Thamizhikkavi and R. S. Ponmagal

36. Stochastic Modelling and Real Time Solution for SCPP Problem for the Internet of Vehicles (IoV)
Divya Lanka and Selvaradjou Kandasamy

37. Security Level Detection of Cryptosystems Using Machine Learning
Srividhya Ganesan, Rachana P., Pokala Keerthana, N. Karthik Reddy and Niharika Reddy R.

38. Colorization of Black and White Image and Video Using CNN
K. Tejashwini, M. Soumya, P. Kalyani, G. Deepika and C. N. Sujatha

39. Detection Mechanism for the Analysis of Malicious Script to Safeguard the Networked Systems
Md Nahidul Alam, Mayuri Kumari, Abishek Singh, Preeti Dubey, Avinash Kumar and Saptadeepa Kalita

40. An Electromyography Based System for Sitting and Walking Postures
Piyush Deshpande and Viraj Deshpande

41. Comparison of Latency Minimisation Techniques and Performance Evaluation for
Application Mapping in RTNoC (Real Time Network on Chip)
Shweta Ashtekar and Kushal Tuckley

42. Classification of Customers Using Machine Learning
S. Vaishnavi, C. N. Sujatha, P. Archana, P. Naveen Kumar and G. Akanksha

43. Phishing Website Detection Using Machine Learning
Shaik Salman, PonSuresh Manoharan, Sirgapuram Siddartha,
Puttakokkula Bhanu Teja and Utsav Garg

44. VANET Routing Protocol Using Particle Swarm Optimization
Pallavi Golla, D. V. S. Akash, S. Pranay Sai, Y. Sarada Devi and Ramasamy Mariappan

Biography

Dr. Sheikh Fahad Ahmad received his Ph.D. degree in Computer Science and Engineering from Babu Banarasi Das University Lucknow, U.P. in the year 2020. He received his M. Tech and B.Tech in Computer Science & Engineering in the year 2013 and 2008 respectively from Integral University, Lucknow, U.P. India. He is currently working as an Associate Professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad. He has more than 13 years of teaching experience in reputed Universities. He is also the member of Editorial Boards, Program and Technical Committees of many International Journals as well as he is in the advisory committees of many International Journals. Currently he is supervising six candidates in PhD Program and he has around 30 International Publications and 3 Patents. His research areas include Sound analysis, Pattern Recognition, Machine Learning, and Data Science.

Dr. Shadab Siddiqui received his Ph.D. degree in Computer Science and Engineering from Babu Banarasi Das University Lucknow, U.P. in the year 2021. He received his M. Tech (Computer Science) 2014 Integral University, Lucknow, U.P. India. He is currently working as an Assistant Professor in Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad. Total Experience of 10 Years in Academics. His research interest includes Cloud Computing, Artificial Intelligence and Wireless Sensor Networks. Also, reviewer in various International Journals and Conferences.

Dr. Rajib Debnath received his Bachelor of Technology (Information Technology) degree from Bengal Institute of Technology and Management, Shantiniketan, West Bengal, India, in 2010. Masters in Technology (Computer Science and Engineering) and Doctor of Philosophy (Ph.D) under Computer Science and Engineering Department of Tripura University (A Central University), Suryamaninagar, Tripura, India in 2012 and 2022 respectively. Currently working as an Assistant Professor in Koneru Lakshmaiah Education Foundation (Deemed to be University) Hyderabad, India. His topics of interest are related to the field of Computer Vision, Object Detection, Machine Learning, Image and Video Processing etc.

Dr. Kakali Das received her Bachelor of Engineering (Computer Science and Engineering) degree from Tripura Institute of Technology, Tripura, India in 2012, Masters in Technology (Computer Science and Engineering) degree from Tripura University (A Central University), Suryamaninagar, Tripura, India in 2014, and Doctor of Philosophy (Ph.D) degree under Computer Science and Engineering Department of Tripura University (A Central University), Suryamaninagar, Tripura, India. Currently working as an Assistant Professor in Koneru Lakshmaiah Education Foundation (Deemed to be University) Hyderabad, India. Her topics of interest are related to the field of Medical Image Processing, Infrared Imaging, Machine Learning, Computer Vision etc.

Dr. Figlu Mohanty received her Ph.D. degree in Computer Science and Engineering from IIIT Bhubaneswar, Odisha in the year 2020. She received her M.Tech degree in Computer Science and Information Security from KIIT University, Bhubaneswar, Odisha, India. She is currently working as an Associate Professor in Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad. Her research interest includes Medical Imaging, Pattern Recognition, Machine Learning, Image Processing, and Data Science.

Dr. Sumit Hazra received his Ph.D. degree in Computer Science and Engineering from NIT Rourkela, Odisha in the year 2023. He received his M. Tech degree in Computer Science and Engineering from VIT University, Vellore, India. He is currently working as an Assistant Professor in Department of Computer Science and Engineering at Koneru Lakshmaiah Education Foundation, Hyderabad. His research interests include Gait Analysis, Cognitive Science, Artificial Intelligence, Pattern Recognition, Computer Vision and so on.