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Hybrid Computational Intelligent Systems : Modeling, Simulation and Optimization

Hybrid Computational Intelligent Systems : Modeling, Simulation and Optimization (Paperback)

Siddhartha Bhattacharyya (엮은이)
CRC Press
108,070원

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Hybrid Computational Intelligent Systems : Modeling, Simulation and Optimization
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책 정보

· 제목 : Hybrid Computational Intelligent Systems : Modeling, Simulation and Optimization (Paperback) 
· 분류 : 외국도서 > 기술공학 > 기술공학 > 전력자원 > 전기 에너지
· ISBN : 9781032463292
· 쪽수 : 396쪽
· 출판일 : 2025-01-30

목차

Chapter 1

Creating ratings of agricultural universities based on their digital footprint

Chapter 2

Mechatronic Complex’s Fuzzy System for Fixating Moving Objects

Chapter 3

Quad Sensor-based Soil-Moisture Prediction using Machine Learning

Chapter 4

Stability Analysis for a Diffusive Ratio-dependent Predator-prey Model involving two Delays

Chapter 5

Analysis and Prediction of Physical Fitness Test Data of College Students Based on Grey Model

Chapter 6

Analysis and Research on Book Borrowing Tendency Based on Apriori Algorithm

Chapter 7

Performance Evaluation of Cargo Inspection Systems with the Function of Materials Recognition

Chapter 8

Automated Medical Report Generation on Chest X-Ray Images using Co-Attention mechanism

Chapter 9

An Energy Efficient Secured Arduino based Home Automation using Android Interface

Chapter 10

A Multithreaded Android App to Notify Available `CoWIN’ Vaccination Slots to Multiple Recipients

Chapter 11

Binary MMBAIS for Feature Selection Problem

Chapter 12

Audio to Indian Sign Language Interpreter (AISLI) using Machine Translation and NLP Techniques

Chapter 13

Fragile Medical Image Watermarking using Auto-generated Adaptive Key based Encryption

Chapter 14

Designing of a Solution Model for Global Warming and Climate Change using Machine Learning and Data Engineering Techniques

Chapter 15

Human Age Estimation using sit-to-stand exercise Data-driven Decision Making by Neural Network

Chapter 16

Feature Based Suicide Ideation Detection from Twitter Data Using Machine Learning Techniques

Chapter 17

Analyzing the role of Indian Media during the second wave of COVID using Topic Modeling

Chapter 18

Hardware Efficient FIR Filter Design using Fast Converging Flower Pollination Algorithm - A Case Study of denoising PCG Signal

Chapter 19

Voice Recognition System Using Deep Learning

Chapter 20

Modified Harris Hawk Optimization Algorithm for Multi-level Image Thresholding

Chapter 21

An automatic probabilistic framework for detection and segmentation of tumor in brain MRI images

Chapter 22

Comparative Study of Generative Adversarial Networks for Sensor Data Generation based Remaining Useful Life Classification

Chapter 23

Towards a Framework for Implementation of Quantum-Inspired Evolutionary Algorithm on Noisy Intermediate Scale Quantum Devices (IBMQ) for Solving Knapsack Problems

 

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