International Conference on Signal Machines Automation and Algorithm Proceedings of SIGMAA 2023 Volume 2 1st Edition by Hasmat Malik, Sukumar Mishra, Y R Sood, Fausto Pedro Garcia Marquez, Taha Selim Ustun ISBN 9819763517 978-9819763511 by Hasmat Malik, Sukumar Mishra, Y. R. Sood, Fausto Pedro García Márquez, Taha Selim Ustun 9789819763511, 9819763517 instant download after payment.
International Conference on Signal, Machines, Automation, and Algorithm: Proceedings of SIGMAA 2023, Volume 2 1st Edition by Hasmat Malik, Sukumar Mishra, Y. R. Sood, Fausto Pedro García Márquez, Taha Selim Ustun - Ebook PDF Instant Download/Delivery: 9819763517, 978-9819763511
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Product details:
ISBN 10: 9819763517
ISBN 13: 978-9819763511
Author: Hasmat Malik, Sukumar Mishra, Y. R. Sood, Fausto Pedro García Márquez, Taha Selim Ustun
This book is a set of best quality peer-reviewed innovative research papers from the International Conference on Signals, Machines, Automation and Algorithm (SIGMAA 2023), held at Shoolini University, India, during 15–16 December 2023 in hybrid mode. This book has originality of work with the innovative ideas regarding artificial intelligence (AI) and its applications in the field of communication, computing, and power technologies.
Table of contents:
- Cover
- Front Matter
- Computational Analysis of Autoclaved Aerated Concrete Block Walls for Heat Optimization—A Case Study of Frank & Debbie Islam Management Complex, Aligarh Muslim University, Aligarh, India
- Power Quality Disturbance Classification Based on Advanced Autoencoder Networks
- A Novel Approach in Estimating Wirelength in VLSI Placement Using Machine Learning
- Production of Wood Plastic Composites—A Review
- An Approach for Dam Monitoring and Alerting System Using IoT
- Optimized Deep Learning for Enhanced Tomato Plant Disease Detection and Crop Health Management with Intelligent Systems
- IoT-Based Automatic Vehicle Safety Monitoring System in Tunnels
- An Analysis of Emissions Along with Performance for Diesel Engines Powered by Different Alternative Fuels
- An Investigation on the Use of N-Butanol, Biodiesel, and Biogas as Substitute Fuels in Dual Fuel Engines to Lower Exhaust Emissions
- An Examination of a Diesel Engine's Performance and Emissions Using a Fuel Blend of Diesel, Biodiesel, and Diethyl Ether
- Automatic Classification of Diabetic and Hypertension Fundus Camera Retinal Images Using Deep Learning
- Intelligent Computing Using Deep Learning for Screening of Breast Cancer from Breast Thermograms
- Compressive Strength Prediction of Coal Ash-Reinforced Concrete Using Machine Learning
- A Complete Overview of Semi-supervised Machine Learning Methods to Spot a DDoS Attack in Software-Defined Network: A Review
- AI-Based Framework for Solar Photovoltaic Power Management Optimization Under Dynamic Condition of Irradiation
- Quantifying Diabetic Retinopathy Variation Through Fractal Dimension: A Statistical Approach
- Image Forgery Detection System Using Passive Techniques
- Factorial Analysis and Monitoring of Road Health Using an In-Road Intelligent IoT-Based Sensor Node Setup
- A Novel Approach to Design a Multi-featured Smart TV Using Raspberry PI
- A Fast Real-Time Transient Stability Estimation for Enhanced Situational Awareness
- Profibus DP & PA Several Issues in Industrial Network
- Twitter Profile Analyzer: A Tool for Combating Hate Speech and Promoting Positive Online Communication
- A Device to Develop Depth Map Using Principles of Stereoscopic Vision
- Leveraging Intelligent Tools and Techniques for Early Breast Cancer Detection Using Demographic Data
- GUI-Based Diabetes Prediction Using Pipeline
- Deep Learning for Lung Disease Detection: A CNN-Based Approach
- A Comparative Study of Customer Sentiment Analysis on Amazon Wi-Fi Routers Using Machine Learning Models
- A Framework for Motion Recognition Using Electroencephalogram-Based Brain–Computer Interface and Pretrained Convolutional Neural Networks Enhanced by High-Resolution Superlet Transform
- Recent Trends in EEG-Based Epilepsy Detection and Classification: A Comprehensive Review
- Extraction of Signal in Noncontact Human Vital Signs Signal Using Machine Learning Approaches
- Wireless Night-Vision Camera-Equipped Spy Robot for Surveillance in War Zones (an Unmanned Ground Vehicle)
- Toward the Localization of Palm-Vein Regions from Hand Dorsal Images
- Optimal Sizing of Off-Grid Hybrid Renewable Energy System for Different Energy Storage System
- MFLD-RSTF: Multimodal Face Anti-spoofing with rPPG and Deep Spatio-temporal Features
- Joint Optimization of Autoencoder-Guided Attention Deep Back-Projection Network and Transformer for Document Image Enhancement and Recognition
- Development of Air Quality Monitoring System Using IoT
- Transfer Learning-Based Comparative Analysis of Lung Disease Prediction
- The Application of Machine Learning and Artificial Intelligence Technologies in the Healthcare Industry: A Review
- Hybrid Approach—Diabetic Retinopathy Classification Through Activation Function Optimization
- An Analytical Exploration of the Degradation Rates in Photovoltaic Systems
- Thermal Image Super-Resolution Using Zero-Shot Super-Resolution Generative Adversarial Network (ZSSRGAN)
- A Novel Design and Simulation of Rotman Lens for 5G Frequency Range 3.3–3.6 GHz
- Impact of Cyber Laws in Information Security Management to Protect Businesses and Citizens
- Applications of Knowledge-Integrated Machine Learning in Robotics
- Automatic Speech Recognition for Bilingual Children in Identification of Language Disorder
- Development of Management and Automation System Using Big Data Analytics
- Prevention and Detection of Intrusion Using Machine Learning in Mobile Ad Hoc Networks
- Automated Model Discovery for Forecasting Stock Market Using Artificial Neural Network
- An Experimental Analysis of Opportunities, Challenges, Concepts on Medical Image Processing
- A Study on Potentiality of ChatGPT as Task Solver Based on Natural Language Processing
- Detection of Mental Fatigue Using Artificial Intelligence for Brain–Computer Interface
- A Novel Approach for Reliability and Sensitivity Characterization of Phasor Measurement Unit
- Simultaneous Dynamic State Estimation and Fault Data Detection in Frequency Control Loop of Interconnected Multi-area Power Systems
- A Comprehensive Tool for the Ultimate Placement Companion Using Machine Learning
- Neural Source Code Descriptor
- Data-Driven Performance Evaluation of a Cyber Physical Planetary Transmission System
- A Smart Classroom Environment Using Internet of Things Applications
- Nature-Inspired Techniques for Autonomous Agents: A Theoretical Overview
- Zea Mays Leaf Disease Classification Using Swin Transformer
- Back Matter
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Tags: Hasmat Malik, Sukumar Mishra, Y R Sood, Fausto Pedro Garcia Marquez, Taha Selim Ustun, International Conference, Signal Machines, Automation, Algorithm, SIGMAA 2023, Proceedings, Volume 2
