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Applications of Computational Intelligence in Management and Mathematics I: 9th ICCM 2023, NERIST, Arunachal Pradesh, India, August 04-05 [Kõva köide]

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  • Formaat: Hardback, 595 pages, kõrgus x laius: 235x155 mm, 194 Illustrations, color; 45 Illustrations, black and white; XVI, 595 p. 239 illus., 194 illus. in color., 1 Hardback
  • Sari: Springer Proceedings in Mathematics & Statistics 492
  • Ilmumisaeg: 25-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031845161
  • ISBN-13: 9783031845161
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Applications of Computational Intelligence in Management and Mathematics I: 9th ICCM 2023, NERIST, Arunachal Pradesh, India, August 04-05Suurem pilt
  • Formaat: Hardback, 595 pages, kõrgus x laius: 235x155 mm, 194 Illustrations, color; 45 Illustrations, black and white; XVI, 595 p. 239 illus., 194 illus. in color., 1 Hardback
  • Sari: Springer Proceedings in Mathematics & Statistics 492
  • Ilmumisaeg: 25-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031845161
  • ISBN-13: 9783031845161
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031845161.html
This volume encapsulates the collective knowledge shared and innovations presented at the 9th International Conference on Computers, Management & Mathematical Sciences (ICCM) 2023 held on the 24th and 25th of August, 2023 at the North Eastern Regional Institute of Science and Technology (NERIST), India. The ICCM 2023 was a hybrid conference, featuring both in-person and virtual attendance and explores the transformative role of computational intelligence in solving complex problems across management and mathematics. Computational intelligence encompasses techniques inspired by the human brain and naturesuch as fuzzy systems, neural networks, and evolutionary computationthat excel in stochastic environments where reasoning is essential to derive meaningful solutions.





The proceedings offer a comprehensive overview of how these powerful algorithms and principles are applied to a diverse array of research challenges, with a particular emphasis on computational aspects in the business domain. Scholars, researchers, and students will find invaluable insights into the development and implementation of innovative methods tailored to real-world scenarios.





Key Highlights:









Application of fuzzy logic to decision-making in uncertain environments. Advances in neural networks for predictive analysis and optimization. Evolutionary computation techniques for addressing complex, multi-variable problems. Insights into computational methods that bridge management theory and mathematical models.





This volume serves as a critical resource for anyone seeking to harness computational intelligence to push the boundaries of research in management and mathematics. Whether you're a student embarking on your academic journey or a seasoned scholar, this book provides the tools and knowledge needed to navigate this dynamic field.
Preface.- Fixed point theorems on B_n- metric space.- IOT Univariate and
Multivariate Time-Series Data Anomaly Detection: A Literature Review.-
Estimate long-term and short-term coastline changes :a case study of Kakinada
Coast, Southeast coast of India.- Machine Learning in Small- and Medium-Sized
Enterprises Knowledge Management: An Overview of the Latest Trends.-
Leveraging Machine Learning Algorithms for Accurate Solar PV Power Prediction
in Real Time.- Real-Time Conversion of American Sign Language Using
Convolutional Neural Network.- RDTP: Reliable Delay Time Protocolwith
Duty-Cycle Optimization in 6LoWPAN-WBAN.- XLNet-LSTM: A Hybrid Architecture
for Efficient MOOCs Evaluation using Deep Transfer Learning.- Empowering the
Next Generation of Wireless Networks: Advanced Machine Learning Techniques
for 5G and Beyond.- An Investigative Study on Anomaly Detection Techniques
Utilizing Interactive Language Models.- A Survey on Customized Algorithm
Approach for Solving Non-Convex Optimization Problems in Machine Learning.- A
Comparative Study of Outlier Detection Algorithms in Diabetes.- An
Application of Gradient Boosting in Laptop Price Prediction.- Metrics
Evaluation on Fake News Detection Using Machine Learning Models.- An
Optimized CNN-Based Approach for Efficient Object Detection Using YOLO.-
Network Intrusion Detection System Using Gradient Boosting Algorithm.-
Effective Water Quality Prediction Using Random Forest Algorithm.- A
Comparative Study for Predicting Airline Passenger Satisfaction.- Exploring
Ensemble Methods for Spam Classification.- Enhancing Security Through Trust
Evaluation Using Hidden Markov Model in VANETs.- A Trusted Routing Scheme
using Reinforcement Model in Mobile Adhoc Networks.- Detecting Monkeypox Skin
Lesions with Deep Learning: A Promising Approach for Early Diagnosis.- Human
Verification System using Neural Networks.- Ganvolution: Image Generation
Using Generative Adversarial Networks.- Drone Detection System Using Image
Processing.- Index.