Produktbild: Metaheuristics for Machine Learning

Metaheuristics for Machine Learning Algorithms and Applications

Fr. 263.00

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Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

30.04.2024

Herausgeber

Kanak Kalita + weitere

Verlag

Wiley

Seitenzahl

352

Maße (L/B/H)

23.1/15.2/2.3 cm

Gewicht

544 g

Sprache

Englisch

ISBN

978-1-394-23392-2

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

30.04.2024

Herausgeber

Verlag

Wiley

Seitenzahl

352

Maße (L/B/H)

23.1/15.2/2.3 cm

Gewicht

544 g

Sprache

Englisch

ISBN

978-1-394-23392-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Metaheuristics for Machine Learning
  • Foreword xv

    Preface xvii

    1 Metaheuristic Algorithms and Their Applications in Different Fields: A Comprehensive Review 1
    Abrar Yaqoob, Navneet Kumar Verma and Rabia Musheer Aziz

    1.1 Introduction 2

    1.2 Types of Metaheuristic Algorithms 3

    1.3 Application of Metaheuristic Algorithms 20

    1.4 Future Direction 25

    1.5 Conclusion 26

    2 A Comprehensive Review of Metaheuristics for Hyperparameter Optimization in Machine Learning 37
    Ramachandran Narayanan and Narayanan Ganesh

    2.1 Introduction 38

    2.2 Fundamentals of Hyperparameter Optimization 39

    2.3 Overview of Metaheuristic Optimization Techniques 42

    2.4 Population-Based Metaheuristic Techniques 43

    2.5 Single Solution-Based Metaheuristic Techniques 47

    2.6 Hybrid Metaheuristic Techniques 49

    2.7 Metaheuristics in Bayesian Optimization 50

    2.8 Metaheuristics in Neural Architecture Search 53

    2.9 Comparison of Metaheuristic Techniques for Hyperparameter Optimization 55

    2.10 Applications of Metaheuristics in Machine Learning 61

    2.11 Future Directions and Open Challenges 63

    2.12 Conclusion 65

    3 A Survey of Computer-Aided Diagnosis Systems for Breast Cancer Detection 73
    Charu Anant Rajput, Leninisha Shanmugam and Parkavi K.

    3.1 Introduction 73

    3.2 Procedure for Research Survey 77

    3.3 Imaging Modalities and Their Datasets 77

    3.4 Research Survey 83

    3.5 Conclusion 90

    3.6 Acknowledgment 91

    4 Enhancing Feature Selection Through Metaheuristic Hybrid Cuckoo Search and Harris Hawks Optimization for Cancer Classification 95
    Abrar Yaqoob, Navneet Kumar Verma, Rabia Musheer Aziz and Akash Saxena

    4.1 Introduction 96

    4.2 Related Work 99

    4.3 Proposed Methodology 104

    4.4 Experimental Setup 115

    4.5 Results and Discussion 119

    4.6 Conclusion 130

    5 Anomaly Identification in Surveillance Video Using Regressive Bidirectional LSTM with Hyperparameter Optimization 135
    Rajendran Shankar and Narayanan Ganesh

    5.1 Introduction 136

    5.2 Literature Survey 137

    5.3 Proposed Methodology 138

    5.4 Result and Discussion 143

    5.5 Conclusion 146

    6 Ensemble Machine Learning-Based Botnet Attack Detection for IoT Applications 149
    Suchithra M.

    6.1 Introduction 150

    6.2 Literature Survey 151

    6.3 Proposed System 152

    6.4 Results and Discussion 156

    6.5 Conclusion 160

    7 Machine Learning-Based Intrusion Detection System with Tuned Spider Monkey Optimization for Wireless Sensor Networks 163
    Ilavendhan Anandaraj and Kaviarasan Ramu

    7.1 Introduction 164

    7.2 Literature Review 166

    7.3 Proposed Methodology 168

    7.4 Result and Discussion 173

    7.5 Conclusion 177

    8 Security Enhancement in IoMT--Assisted Smart Healthcare System Using the Machine Learning Approach 179
    Jayalakshmi Sambandan, Bharanidharan Gurumurthy and Syed Jamalullah R.

    8.1 Introduction 180

    8.2 Literature Review 182

    8.3 Proposed Methodology 184

    8.4 Conclusion 192

    9 Building Sustainable Communication: A Game-Theoretic Approach in 5G and 6G Cellular Networks 195
    Puppala Ramya, Tulasidhar Mulakaluri, Chebrolu Yasmina, Pandi Bindu Madhavi and Vijay Guru Balaji K. S.

    9.1 Introduction 196

    9.2 Related Works 196

    9.3 Methodology 197

    9.4 Result 207

    9.5 Conclusion 211

    10 Autonomous Vehicle Optimization: Striking a Balance Between Cost-Effectiveness and Sustainability 215
    Vamsidhar Talasila, Sagi Venkata Lakshmi Narasimharaju, Neeli Veda Vyshnavi, Saketh Naga Sreenivas Kondaveeti, Garimella Surya Siva Teja and Kiran Kumar Kaveti

    10.1 Introduction 216

    10.2 Methods 219

    10.3 Results 224

    10.4 Conclusions 231

    11 Adapting Underground Parking for the Future: Sustainability and Shared Autonomous Vehicles 235
    Vamsidhar Talasila, Madala Pavan Pranav Sai, Gade Sri Raja Gopala Reddy, Vempati Pavan Kashyap, Gunda Karthik and K. V. Panduranga Rao

    11.1 Introduction 236

    11.2 Related Works 237

    11.3 Methodology 238

    11.4 Analysis 245

    11.5 Conclusion 250

    12 Big Data Analytics for a Sustainable Competitive Edge: An Impact Assessment 253
    Rajyalakshmi K., Padma A., Varalakshmi M., Suhasini A. and Chiranjeevi P.

    12.1 Introduction 254

    12.2 Related Works 255

    12.3 Hypothesis and Research Model 255

    12.4 Results 259

    12.5 Conclusion 264

    13 Sustainability and Technological Innovation in Organizations: The Mediating Role of Green Practices 267
    Rajyalakshmi K., Rajkumar G. V. S., Sulochana B., Rama Devi V. N. and Padma A.

    13.1 Introduction 268

    13.2 Related Work 269

    13.4 Discussion 279

    13.5 Conclusions 281

    14 Optimal Cell Planning in Two Tier Heterogeneous Network through Meta-Heuristic Algorithms 285
    Sanjoy Debnath, Amit Baran Dey and Wasim Arif

    14.1 Introduction 285

    14.2 System Model and Formulation of the Problem 288

    14.3 Result and Discussion 295

    14.4 Conclusion 298

    15 Soil Aggregate Stability Prediction Using a Hybrid Machine Learning Algorithm 301
    M. Balamurugan

    15.1 Introduction 302

    15.2 Related Works 303

    15.3 Proposed Methodology 303

    15.4 Result and Discussion 309

    15.5 Conclusion 313

    References 313

    Index 315