Algorithms for Smart World Technologies A Comprehensive Guide to Applications in AI 1st edition By Suman Saha, Shailendra Shukla
$30.00
Secure checkout
Instant digital download
PDF document
Document details
- Pages
- 275
- File size
- 4.86 MB
- Format
- Digital PDF
- Course
- Education
- Category
- eBook[PDF]
Sign in or create a free account to continue. Your purchase will be saved in My Downloads.
About this ebook
The Algorithms for Smart World Technologies: A Comprehensive Guide to Applications in AI, IoT and Automation for Electrical and Computer Engineers" (1st edition) by Suman Saha and co-author is structured into three distinct parts: Complexities, Paradigms, and Recent Applications.
According to the official synopsis on Wiley, the core topics and subtopics covered in the book include:
1. Complexities
- Complex Systems & Algorithms: Understanding structural intricacies and systemic algorithms.
- Measuring Efficiency: Evaluating computational performance and algorithmic efficiency.
- System & Complexity Types: Analyzing the various types of technological systems and their distinct classes of complexity.
2. Ethics Bounds
- Algorithms Ethics Maps: Designing frameworks for ethical boundary mapping.
- Algorithmic Traceability: Methods for tracking and auditing algorithmic decision-making.
- Social & Environmental Ethics: Assessing the human and ecological impacts of automation.
- Parameters & Thresholds: Establishing quantitative limits for responsible AI deployment.
3. Algorithmic Paradigms
- Algorithm Design: Foundational strategies for creating structural problem-solving steps.
- Core Methodologies: Detailed coverage of divide-and-conquer, backtracking, and exhaustive search.
- Solvability & Reducibility: Evaluating whether a problem can be computationally resolved or transformed into another problem.
4. Intelligent Search Algorithms
- Solution Space: Navigating and mapping mathematical spaces for optimal answers.
- Uninformed & Informed Search: Exploring traditional algorithmic searching techniques.
- Evolutionary & Nature-Inspired Algorithms: Implementing genetic algorithms and biological metaphors to solve complex optimization problems.
5. Smart Transportation & Applications
- Vehicular Traffic Scheduling: Crafting scheduling algorithms to optimize real-world traffic flows.
- Opportunistic Communication: Utilizing localized protocols for Vehicular Ad-Hoc Networks (VANET).
- Emerging Tech Integrations: Practical application of algorithms across IoT, automation, and blockchain environments.
File included
tmpphp3sXSQP
4.86 MB