Autorentext

Dr. Amit Lathigara

Dr. Amit Lathigara is a distinguished academician and the Provost at RK University, with over 20 years of experience in higher education. He has made significant contributions to research, with high-impact publications and extensive guidance in his field. As an expert, he has represented RK University in numerous national and international academic and research workshops. He has received various national and international research grants. He has received multiple awards, including the Faculty Fellow Award in 2018, and holds an ING.PAED.IGIP certification as an international engineering educator.

Dr. Nirav Bhatt

Dr. Nirav Bhatt, Professor at Computer Science and Engineering, School of Engineering, RK University, over the course of his 18-years career in technical education, he contributed in teaching, research and institutional development. His research work encompasses various latest emerging areas including publications in reputed journals. His efforts have been acknowledged through various competitive research grants, including government-supported fundings aimed at modernizing technical education. He plays an influential role in shaping academic standards by serving as a member of the editorial boards, review panels, technical committees, etc.

Dr. Paresh Tanna

Dr. Paresh Tanna is a Professor with School of Engineering, RK University. He is currently a distinguished researcher and academic with extensive experience in computer science and engineering. He has received prestigious research grants, academic excellence awards, and is recognized with multiple best paper awards at international conferences. With over 19 years of experience in research and academia, he has made significant contributions to research publications and guidance. He also serves as a reviewer, an editor, and the chair for different conferences/journal, ensuring the dissemination of high-quality research. Also, his dedication to research, innovation, and academic excellence inspires peers and students

Klappentext

Emerging Perspectives and Applications of Computational Intelligence and Smart Systems delves into the transformative role of artificial intelligence, machine learning, IoT, robotics, smart technologies etc. in shaping the future of industries and societies.

Inhalt

1. Investigating an Updraft Coal Gasifier Using Advanced Hot Gas Cleaning

Technology Through Experimentation to Reduce Pollution for Sustainable

Development

Reena N. Makadia and Dr. Marmik M. Dave

2. AI-Driven Skin Type Detection and Personalized Recommendations for

Cosmetic Products

Kakoli Banerjee, Abhishek Pandey, Saad Anwar Khan, Alok Ranjan and

Rahul Makhloga

3. Lung Cancer Stage Detection Using CNN: A Review

Mohammad Chandpasha, Julakanti Ruthwik Reddy,

Pasupuleti Sai Sritha and M. A. Jabbar

4. IoT and RFID-Enabled Smart Lab Monitoring System for Efficient

Asset Management

Dinesh Reddy Malreddy, Kayithi Sujeeth Reddy, Advith Teelaru,

Velagaleti Sriraghava and Ala Rajitha

5. Detecting System Vulnerability to Malware Attacks Using ML Techniques:

A Review

D. V. Harsha Vardhan, Adi Divya, Ega Priyanka, B. Pravallika and

M. A. Jabbar

6. A Systematic Review on License Plate Recognition using Deep Learning

A. Akhilesh, A. Sharath Kumar, B. Prayaksha,

Prakash Kumar Sarangi and M. A. Jabbar

7. Hybridizing ML with CatBoost and LightGBM for Liver Disease Prediction:

An Improved Clinical Data Analysis

A. Mohamed Anwar, M. Vijayaraj, S. P. Santhoshkumar, T. Nalini and

S. Karthiyayini

8. Enhancing IoT Security: A Hybrid Deep Learning Approach for Network

Traffic Classification

Singamaneni Krishnapriya and Sukhvinder Singh

9. Enhanced Motion Control for PMSM Using Direct Torque Control Algorithm

Avinash Vujji, Jyothsna Indala, Rama Kothapalli, Leelarani Karasa,

Sravyanjali Bankuru and Harika Boyidapu

10. Student Performance Prediction in Introductory Programming Courses:

A Comprehensive Review of Machine Learning Techniques

Hetal Gosrani and Nirav Bhatt

11. Real-Time Traffic Monitoring and Request Blocking Firewall for

Network Security

Jinna Kruthika, Gajele Manisha, Mohammad Shinaz Bhanu,

Ganjikunta Abhinaya and Kuraganti Rathnababu

12. Strategies for the Advancement of Artificial Intelligence (AI)

Technologies and Their Application in Intelligence and

Counter-Intelligence Operations (The Experiences of the

United States and China)

David Kukhalashvili, Dimitri Kobiashvili and Bakari Grdzelishvili

13. Comparative Performance of Machine Learning Algorithms for Sentiment

Analysis: The Role of PCA as A Dimension Reduction Technique

Burak Borhan, Yasin Ortakci and Amit Lathigara

14. Machine Learning-Based Attack Detection in Smart Home IoT Networks

Vinay Kumar Reddy Muthyala, Amit Lathigara and Nur Azaliah Abu Bakar

15. Development of Knee Joint Implant using VAT Polymerization and

Investment Casting

Ratnadeepsinh M. Jadeja and Marmik M. Dave

16. A Comparative Review of a Single-Stage and Two-Stage Grid-Connected

PV Systems

Vishal G. Jotangiya, Riaz Israni and Chiragkumar Parekh

17. Advancements in Automatic Load Frequency Control with Integration of

Renewable Energy Sources: A Comprehensive Review

Parin H. Chauhan, Riaz Kurbanali Israni and Chiragkumar Parekh

18. A Feasibility Study on The Use of Los Angeles Machine to Grind Fly Ash

Mehul Rangani, Sanjay Joshi, Ajaysinh Vaghela and Danuta Barnat-Hunek

19. Effective Analysis of Mental Health Using AI and Machine Learning in

Social Media Analytics

M. Lavanya, Parvez Belim, Nirav Bhatt, Rani Sahu and Neha Chauhan

20. Enhancing Multi-Modal MRI Brain Tumor Detection using Hybrid

Convolutional Based Deep Learning Model

Nirav Ranpara, Amit Lathigara, Chetan Shingadiya and Ró a Dzier ak

21. Real-Time Adaptive Decision-Making in Unstructured Agricultural

Scenarios Based on WSN and Deep Learning

Suresh Kumar K., Malathi M., Pavithra P., Shanmugapriya K. and

Deepika S.

22. Assessing Global Water Scarcity Using the WEAP Model: Implications for

Sustainable Development

Kajal Dudhatra and Sajaykumar Joshi

23. IoT-Driven Batch Tracking System for Pharmaceutical Quality and

Compliance in Industry 4.0

Abhishek Tripathi, B. Hanuma Kumar, Shubham Anjankar,

Suresh Balpande, Saral Kumar Gupta and Chandra Mohan S. Negi

24. AI-Driven Load Balancing in Cloud Computing: A Deep Reinforcement

Learning Approach

Paresh Tanna, Nirav Bhatt, Sunil Soni, Jaydeep Tadhani and Riaz Israni

25. A Comprehensive Review of Intrusion Detection in In-Vehicle Networks:

Advances, Challenges, and Insights from the CICIoV2024 Dataset

Rakesh Parmar and Nirav Bhatt

26. Improving Educational Outcomes with AI: Predicting CGPA Using

Socio-Economic Factors

T. Raja Reddy, Anju Kakkad, Chetan Shingadiya, M. Mohan Babu,

Aayush Shtivastava and Alpana Kumari

27. Transformer-Based Deep Learning for Stock Price Prediction:

The Impact of Sentiment Analysis

J. Velmurugan, Jay D. Fuletra, Amit Lathigara,

P. Jyotheeswari and Ashish Raghuwanshi

28. Optimization of Tractor Seat Suspension for Vibration Reduction Using

MATLAB-Based Transmissibility Analysis

Nishant Korat, Chetankumar Patel and G. D. Acharya

29. AI-Enhanced Energy Management Solutions for Smart Micro-grid Organism

S. Muthukumar, Riaz K. Israni, Chirag Kumar Parekh and Anuprita Mishra

30. Block Chain Based Smart and Secure Logistic Management System using AI

Amit Lathigara, Sunil Soni, Jaydeep Tadhani, Jay Fuletra and Nikhat Raza Khan

31. A Systematic Review of Intrusion Detection in IoT: Efficiency, Transparency,

and Zero-Day Resilience

Rahul Keshwala and Paresh Tanna

32. Real-Time Intrusion Detection and Cloud-based Facial Recognition for

Smart Home Security Systems

Josephine Selle Jeyanathan, Cross T. Asha Wise, O. Ansel Tom,

C. Yogeswar, G. Sankeerth and Y. Dharani Kumar

33. Analysing Caloric and Mineral Intake from Fruit Consumption:

A Computational Framework Using AI, IoT, and M…