Learning Algorithms – alle Bücher, Seite 2

Deep Ray, Orazio Pinti, Assad A. Oberai
Deep Learning and Computational Physics

The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms a…

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Deep Learning for Personalized Healthcare Services

This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop…

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Recent Trends in AI Enabled Technologies

This book constitutes the refereed proceedings of the Second International Conference on Recent Trends in AI Enabled Technologies, ThinkAI 2024, which took place in Hyderabad, India, during December 27-28…

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Quantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode …

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Information Management and Big Data

Machine Learning and Deep Learning.- Preserving Hidden Hierarchical Structure: Poincaré Distance for Enhanced Genomic Sequence Analysis.- EPIC: Enhancing Privacy through Iterative Collaboration.- DWFL: En…

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Emerging Trends in Artificial Intelligence, Data Science and Signal Processing

.- Impulsive Transaction Prediction for People with Bipolar Disorder using Supervised Learning Algorithms. .- A Novel Transformer-Based Approach for Portfolio Allocation Using Attention Mechanism. .- Quer…

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Enterprise Information Systems

.- Making Talents and Leadership Ready for the AI and Digital Era:Challenges and Directions for Higher Education. .- SLAM with Multimodal Sensor Integration in Autonomous Robotics:A Case Study Using RPLID…

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Sherif Moussa, Ziad El-Khatib
Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing

This book describes Deep Learning-based architecture design for intelligent wireless communication systems and specifically for Deep Learning-based receiver design. Deep Learning-based architecture design…

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Wen Yu, Jian Tang, Junfei Qiao
Small Sample Modelling Based on Deep and Broad Forest Regression

Small Sample Modelling Based on Deep and Broad Forest Regression: Theory and Industrial Application delves into tree-structured methods in the industrial sector, encompassing classical ensemble learning, …

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Maya
Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More

Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More explores groundbreaking advancements in identifying nuanced speaker states beyond traditional emotions. This resear…

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Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning

Enhancing Hybrid Nanodevice Fabrication Efficiency using Machine Learning explores the intersection of advanced manufacturing techniques and machine learning applications in the field of nanotechnology, s…

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Iqbal H. Sarker
AI-Driven Cybersecurity and Threat Intelligence

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only o…

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Sunil Gupta, Sanjoy Kumar Debnath, Monit Kapoor
Artificial Intelligence-Enabled Security for Healthcare Systems

The book "AI-Enabled Healthcare Security: Safeguarding Patient Data and Improving Outcomes" focuses on the role of artificial intelligence in enhancing healthcare security and improving patient …

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Implementation and Application of Automata

.- Complementable Normal Form of Parametrized Automata..- Toward the Glushkovization of Automata: the Strong Stabilization..- Constructing Compact BPE Token DFAs..- Epsilon Automata on Linear Orderings..-…

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Artificial Intelligence for Global Counter-Terrorism

The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and …

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Shuangming Yang, Badong Chen
Neuromorphic Intelligence

This book provides a valuable resource on the design of neuromorphic intelligence, which serves as a computational foundation for building compact and low-power brain-inspired intelligent systems. The boo…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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Weidong Kuang, Heidi Kuang
Deep Learning

A hands-on and intuitive guide to the foundations of modern deep learningIn Deep Learning: Principles and Implementations, distinguished researcher and professor Weidong "Will" Kuang delivers an…

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Mariya
Folding the Future: Machine Learning Revolutionizes Protein Structure Prediction

Folding the Future" unfolds the exciting revolution in protein structure prediction powered by machine learning. For decades, scientists struggled to understand the complex 3D shapes proteins fold in…

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Pattern Recognition and Artificial Intelligence

Comparative Analysis of Machine Learning Algorithms for Phishing Detection.- 2.The Credibility of Unofficial Pages on Social Media and Their Role in Shaping Public Opinion.- 3. Enhancing Malware Detection…

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