Emerging Perspectives and Applications of Computational Intelligence and Smart Systems

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Emerging Perspectives and Applications of Computational Intelligence and Smart Systems

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  • 製本 Hardcover:ハードカバー版/ページ数 390 p.
  • 言語 ENG
  • 商品コード 9781041209645

Full Description

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. This volume presents cutting-edge research and real-world applications that highlight how computational intelligence enables automation, intelligent decision-making, and sustainable solutions across diverse domains. With contributions from experts in academia and industry, the book explores innovations in healthcare, smart cities, energy systems, manufacturing, and beyond. It emphasizes interdisciplinary collaboration and practical methodologies that bridge the gap between theoretical advancements and tangible impact. By combining theoretical advancements with real-world relevance, this book equips readers with a deeper understanding of how intelligent technologies can be applied to solve complex problems. It is an essential guide for those looking to harness computational intelligence and smart systems to drive innovation, improve efficiency, and contribute to a more sustainable and connected future.

Contents

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 Róża Dzierżak

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 Machine Learning with

Real-Time Wearable Output

Dhayalan, Homera Durani, Paresh Tanna, Manmohan Singh and

Parita Rathod

34. Performance of ARIMA in TEC Prediction for Quiet and Disturbed

Days Over the Equatorial Low Latitude Region

Swati Kemkar, Suman Mukherjee and Sumitra Iyer

35. Dengue Detection using Machine Learning Approach

Nilesh Radadiya and Paresh Tanna

36. Leveraging Machine Learning Techniques for Predicting Major Diseases in

Groundnut Crop Cultivation

Vimal Pambhar and Nirav Bhatt

37. Technological Advancements in Indian Policing: The Role of Digital Arrests

Sarita Sharma, Lalit Kumar, Amit Kumar Bindal, Abhishek Saini,

Deepanshu Saini and Paresh Tanna

38. Enhancing Criminal Identification through Siamese CNN Facial

Recognition: A Law Enforcement Perspective

Rani Sahu, Roopali Soni, Vidhi Sadh, Shamaila Khan,

Ashutosh Dixit and Shivangi Patel

39. Enhancing Organizational Security and Efficiency: A Digital

QR Code-Based Access Control System

Rani Sahu, Mayank Kumar Verma, Sarvesh Vyas, Sushila Sonare,

Ruchi Bhargava and Homera Durani

40. Optimizing MANET Routing with SINTM: A Smarter Load Balancing

Approach

Rani Sahu, Sarita Yogi, Nazeer Khan, Rajesh Kumar Nigam,

Sarvesh Vyas and Bhoomi Danger

41. Networks Design and Evaluation of a Zone-Based Energy-Efficient

Routing Protocol for Hybrid Wireless Networks

Rani Sahu, Vinay Sahu, Seema Joshi, Sujeet Kumar,

Sachin Malviya and Anju Kakkad

42. Enhancing Medication Adherence through an IoT-Enabled Automated

Pill Dispenser with Real-Time Monitoring

Abhishek Tripathi, Peddineni Akshitha, Meka Venkata Mahalakshmi,

Ramagiri Manjusha, Padidham Bhargavi and Suresh Balpande

43. Application of a Genetic Algorithm in 0-1 Knapsack Problem

Sajad Abdlkadhim, Sait Demir and Emrullah Sonuç

44. An Extensive Analysis of a Deep Learning-Based Plant Disease

Identification System

Milan Gohel and Hiren Kavatjhiya

45. Exploratory Data Analysis and Feature Correlation Insights on the CICIoV2024

Dataset for IoV Security

Nirav Bhatt, Amit Lathigara, Sunil Soni, Paresh Tanna and Jaydeep Tadhani

46. Reinforcement Learning for 5G D2D Communication in Proximity-Based

Networks

Anu Mangal, Anjali Potnis, M.A. Rizvi, Rani Sahu, Manmohan Singh and

Parita Rathod

47. Deep Neural Network-Based Trust Management System with Enhanced

Attack Resistance

Jayashree C. Pasalkar and Dattatraya S. Bormane

48. Revolutionizing Cricket Team Selection: AI and ML-Driven Player

Performance Prediction—A Comprehensive Review

Ravindra Dangar, Amit Lathigara and Yasin Ortakci

49. Using Big Data Analytics in Wireless Cellular Networks: A Transformational

Impact on the Telecommunications Industry

Hemant Kumar Gianey, Kishan, Sarvesh vyas, Aayush Shrivastava,

Manmohan Singh and Amit Lathigara

50. Forest Fire Prediction System using Wireless Sensor Networks and

Deep Learning

Garima Priya, Aayush Shrivastava, Amandeep Kaur, Bhupesh Gupta,

Mohit Chhabra and Jay Fuletra

51. Concept of Sliding Block Type Self-Centering Vise Clamp for

Smart Manufacturing

Dipeshkumar M. Chauhan and Chetankumar M. Patel

52. Optimized Federated Learning for Decentralized Healthcare Data

E. S. Chakravarthy, Amit Lathigara, Rajanikanth Aluvalu and

M. Giridhar Kumar

53. Revolutionizing Cloud Computing: Decentralized Scheduling with

Federated Learning for Enhanced Resource Utilization

A. Damayanthi, Amit Lathigara, Rajanikanth Aluvalu and

M. Giridhar Kumar

54. Predicting Climate Change Impact on Crop Yield: A Review of AI-Based

Implementations in Maharashtra

Ketaki Ghawali and Abhishek Garg

55. Comprehensive Investigation of Cutting Parameters for

"Nanowhite Crystallized Glass" Tiles

Viraj Sudani, Chetankumar Patel and G. D. Acharya

56. Optimized EEG-EMG Fusion Model for Continuous Hand Trajectory

Estimation in Brain Computer Interfaces

Rohit Gupta, Amit Bhongade, Bijuni Charan Sutar and Tapan K. Gandhi

57. Transformer and Graph Analytics for Big Data-Driven Intrusion Detection:

A Novel Framework

Ashish Jain, Nikhat Raza Khan and Chetan Shingadiya

58. Machine Learning-Based Crop Classification Using Random Forest for

Precision Agriculture

Aayush Shrivastava, Nikhat Raza Khan, Keshav Mishra, Ritu Ranjani Singh,

Akanksha Meshram and Nirav Bhatt

59. Vibrating Massage Belt for Elderly and Working Women

Patnala Mamathadevi, Mamatha kumari, Guri Mulinaidu,

Malla Ramya Charmini,Kandregula Pavan and Mohammed Mubeen

60. Machine Learning for Sports Score and Winner Prediction: A Critical

Review of Research Gaps and Model Enhancements

Kishankumar Ganatra, Anju Kakkad and Chetan Shingadiya

61. Enhancing Cybersecurity Resilience in 6G Networks Using Adversarial

Machine Learning

Abhishek Tripathi, Anagha A. S., Aiswarya S. Kumar, Shubham Anjankar,

Suresh Balpande and S. Wilson Prakash

62. Optimization of Steam Venting Loss in Coal-Fired AFBC Boiler by

Controlling Coal Feeding Primary Air Lines Choking Issue

Chirag V. Kapuia and Chetankumar M. Patel

63. Real-Time IoT Solution for Smart Agriculture using Thingspeak and Whatsapp

Man Singh Baghel, R. C. Gurjar, Gireesh G. Soni, Abhishek Tripathi and

Rajesh Khatri

64. Behavioral Analysis of QUIC Protocol under DDoS

Sejpalsinh Jadeja, Shivangi Patel, Nirav Bhatt and

Utkarsh Tamrakar

65. Confidential AI Prompt Sharing: A Block-chain Driven Framework for

Secure Data Exchange

Sankara Reddy Thamma, Bharath Reddy Devalampeta,

Mukheswara Reddy Jangareddy and Paresh Tanna

66. Load Balancing Algorithm for Data Centers to Optimize Cloud Computing

Applications 369

P. Jyotheeswari, Dhayalan, S. Muthukumar, Nirav Bhatt and

P. Thirumurugan

67. Food Calory Estimation and BMI Prediction using Ml

R. Mohanraj, G. Kavitha, Amit Lathigara, D. Sruthi and

George Sebastian

68. IoT Based Theft Detection using SMTP Protocol

K. Thyagarajan, Sangeetha, M. Balasubramanian,

A. Anburaj and Paresh Tanna

69. The Impact of Oversampling Methods on Predicting Employee Turnover

Derya Habib and Oğuz Findik

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