<p><span>The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of
Algorithms in Advanced Artificial Intelligence
✍ Scribed by R. N. V. Jagan Mohan (editor), Vasamsetty Chandra Sekhar (editor), V. M. N. S. S. V. K. R. Gupta (editor)
- Publisher
- CRC Press
- Year
- 2024
- Tongue
- English
- Leaves
- 547
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.
✦ Table of Contents
Cover
Half Title
Title Page
Copyright Page
Table of Contents
List of Figures
List of Tables
About the Editors
1. Convolutional Neural Networks Detect Alzheimer’s disease by Analyzing Facial Expressions and Eye Movements
2. Self-caring Autonomous Medicinal and Aromatic Plants (MAP) Nursery Using Arduino Microcontroller
3. Segment Anything: GPT-3 and Logistic Regression Approach for Skin Cancer Detection
4. Enhancing Metric Learning Reliability for Pose-Oriented Face Recognition by Visual Assessment of Tendency
5. Verifiable Secure Vehicle Connectivity Using Machine Learning Framework for Internet of Vehicles
6. Disease Detection In Dental Patients Using Machine Learning Algorithms Through Image Analysis
7. Early Disease Diagnosis in Tomato Crops Using AI-Based Deep CNN
8. Improvement Over K-Means Algorithm Over Complex Data
9. Visual Representation of Lung Cancer Image Classification Using Artificial Neural Network
10. Machine Learning Improve Predictive Analysis of Diabetes Disease
11. Tackle Comorbid Obesity in T2DM by Applying New Strategies to Optimize Glycaemic Control and Weight Management
12. A Literature Survey on Deep Learning Approach Used for Audio-to-Sign Conversion with Gesture Recognition for the Deaf and Dumb
13. Federated Learning Approach Based on the MFCC for Speech Emotion Recognition
14. Automated Object Recognition with IoT for Visually Impaired Users
15. Deep Learning Approach for Early Detection and Diagnosis of Teenager Interstitial Lung Disease
16. Robust Object Detection in Medical Imaging: Cross-Measure Refinement with Edge Detection and SSD
17. AI-Based Breast Cancer X-Ray Image Detection Using Generative Adversarial Attacks
18. Promotion of Graduate Placement Through Academics by Improving Performance Using Artificial Neural Networks
19. Open AI’s Large Language Model to Improve Payroll and HR Processes
20. A Novel Blockchain-Based Approach for Secure and Efficient Electronic Medical Record Sharing
21. A Classifying Gender Crimes with AdaBoost and Back Propagation Algorithms
22. Identifying Tremor Disease in Neurological Disorders Using Finger Gesture Images
23. An Effective Machine Learning Technique that uses Emotive Faces in order to Study Crimes
24. Increasing the Reliability of Intercropping in Agriculture Using Machine Learning
25. Retrieval Augmented Generation Classification Algorithm for Fake News Detection
26. Predictive AI Treatment for Kidney Tumors with Privacy Protection
27. Developing a Hybrid Approach to Assess Changes in Pomegranate Quality
28. Artificial Intelligence-Based Communication through Cat Facial Expressions
29. Convolutional Neural Networks for the Identification of Skin Disorders
30. Machine Learning-Based Approach for Detecting Online Payment Fraud
31. Secure Loan Approval Prediction: A Privacy-Preserving Machine Learning Approach
32. AI with Edge Computing-Driven Development in Healthcare Analysis
33. Big Image: Large-Scale Skin Disease Image Classification in Medical Imaging and Healthcare Using CNN and Transformers
34. AI Driven Load Distribution for Federated Network on Electronic Health Records
35. Smartphone-based Deep Learning Models for the Early Detection of Bubonic Plague and Skin Diseases: A Safer, More Accessible, and Affordable Approach
36. Kids Affected by Uncommon Illnesses Like Autism: Pregnant Women’s Identification through Lasso Regression
37. Blind People Assistant: Real-Time Objects Detection and Distance Estimation with Voice Feedback
38. Standard Encryption Methodologies to Process Multi-Modality Medical Images for Diagnosing in Telemedicine
39. Enhancing Dyslexia Detection and Intervention through Deep Learning: A Comprehensive Review and Future Directions
40. A Study of YOLO (You Only Look Once) to YOLOv8
41. Prediction of Endangered Species Using Artificial Intelligence
42. Early Detection of Alzheimer’s Disease through Tau-PET Image Analysis Using CNN
43. Computational Analysis and Identification of Specific MMP Targets in Tumours at Multiple Stages
44. Exploring the Rise of Cryptocurrencies with Blockchain Technology
45. Mitigating Misinformation: An Advanced Analytics Framework for Proactive Detection of Fake News to Minimize Misrepresentation Risks
46. Summarization of Legal Texts by Using Deep Learning Approaches
47. Optimizing Diabetes Prediction through Intelligent Feature Selection: A Comparative Analysis of Grey Wolf Optimization with AdaBoost and Ant Colony Optimization with XGBoost
48. Real-Time Sign Language Translation through Deep Learning
49. Ensuring Data Privacy in the Cloud: Authprivacychain’s Blockchain Access Control
50. Optimizing Cloud Load Balancers for Reduced Network Latency
51. Boosting Precision: Strategies for Improving Spam Detection in Cloud-Based Email Services
52. Crafting Personalized Film Suggestions
53. A Comprehensive Approach to Detect SQL Injection Attacks Using Enhanced Snort Rules
54. ARP and DNS Spoofing Detection with Attacker IP Capturing
55. A Comprehensive Review of Advanced Artificial Intelligence Integration in ICT Systems: Methodologies, Applications, and Future Directions
56. Enhanced Network Security: Machine Learning-Based DDOS Detection
57. Enhancing Network Security: Deep Ensemble-Based Attack Detection Framework
58. Early-Stage Chronic Kidney Disease Detection using Machine Learning with Bigdata
59. An MDB-KMC and Firefly-Based Clustering Approach for Energy Optimization in Wireless Sensor Networks
60. Software Requirements Based Software Effort Estimation using RSLU-GNL-GRU in Software Project Management
61. The Evolution and Impact of Large Language Models in Artificial Intelligence
62. Several Machine Learning Techniques Used to Forecast Parkinson Disease
63. Fungal Disease Risk Assessment using Data-Driven Methods: Impacts on Food Security and Crop Devastation
64. Redefining Glaucoma Identification using State-of-the- Art Machine Learning
65. Probe Method: A Dependable Economy Data Methodology Feature Selection for Machine Learning
66. Estimating Human Life Expectancy through Sentiment Analysis, Population-based Optimisation, and Machine Learning Models
67. A Distributed-Back Propagation Procedure that uses Climate while Predicting the Spread of Mosquitoes Using Least Squares Estimation
68. Unveiling the Efficacy of Machine Learning in Addressing Imbalances in Credit Card Fraud Detection Data
69. Blockchain-driven Security Paradigm: A Robust System Harnessing the Internet of Medical Things (IoMT) Network for Enhanced E-Healthcare Monitoring
70. Estimating Foreign Export Volume Using Machine Learning for Big Data Business Analytics
71. Unmasking Deceit: Pioneering Deep Learning Hybrids to Expose Fabricated Reviews in the Digital Realm
72. YOLO CNN Approach for Object Detection
73. Multi-Crop Analysis Using Multi-Regression via AI-based Federated Learning
74. Empowering Inclusive Communication: Advancements in Wearable Technology with GloSign—A Glove-Based Solution for Seamless Sign Language Interaction
75. AI-Based Voice Assistant Application for B5G and 6G Free Space Optic Technology is Competent of Detecting Fake Words
76. GenerativeAI in Personal Dairy Information Retrieval for Criminal Investigation
77. PCACSO Feature Selection for Prediction of Breast Cancer NAC Response
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