This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book: Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag. Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength. Describes sustainable green material manufacturing methodologies. Discusses issues like microstructural properties and reaction mechanism. Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book: Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag. Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength. Describes sustainable green material manufacturing methodologies. Discusses issues like microstructural properties and reaction mechanism. Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book:

Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag.

Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength.

Describes sustainable green material manufacturing methodologies.

Discusses issues like microstructural properties and reaction mechanism.

Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book:

Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag.

Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength.

Describes sustainable green material manufacturing methodologies.

Discusses issues like microstructural properties and reaction mechanism.

Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

Includes colour illustrations This practical reference draws together the combined expertise of a wide range of health professionals in managing this condition. Their work is soundly based on recent research into its pathology manifestations and treatment to develop appropriate management strategies. Part of the value in this book lies in its reference to patient perspectives and how they can contribute to the most effective care.

Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments. The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments. Readers will find the volume: Provides comprehensive coverage of topics like machine and deep learning for intelligent security; Explores cyber-IoT systems and intrusion detection systems for identifying suspicious activities and mitigating potential threats;Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on.Audience Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT.

Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments. The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments. Readers will find the volume: Provides comprehensive coverage of topics like machine and deep learning for intelligent security; Explores cyber-IoT systems and intrusion detection systems for identifying suspicious activities and mitigating potential threats; Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on. Audience Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT.

Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments. The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments. Readers will find the volume: Provides comprehensive coverage of topics like machine and deep learning for intelligent security; Explores cyber-IoT systems and intrusion detection systems for identifying suspicious activities and mitigating potential threats; Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on. Audience Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT.

Includes colour illustrations This practical reference draws together the combined expertise of a wide range of health professionals in managing this condition. Their work is soundly based on recent research into its pathology manifestations and treatment to develop appropriate management strategies. Part of the value in this book lies in its reference to patient perspectives and how they can contribute to the most effective care.

Includes colour illustrations This practical reference draws together the combined expertise of a wide range of health professionals in managing this condition. Their work is soundly based on recent research into its pathology manifestations and treatment to develop appropriate management strategies. Part of the value in this book lies in its reference to patient perspectives and how they can contribute to the most effective care.

This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book: Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag. Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength. Describes sustainable green material manufacturing methodologies. Discusses issues like microstructural properties and reaction mechanism. Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book: Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag. Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength. Describes sustainable green material manufacturing methodologies. Discusses issues like microstructural properties and reaction mechanism. Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book:

Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag.

Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength.

Describes sustainable green material manufacturing methodologies.

Discusses issues like microstructural properties and reaction mechanism.

Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

This book covers relevant synthesizing parameters, their interactions, and advantages of blending fly ash and blast furnace slag as source material, their relationship with mechanical properties and microstructure including guidelines to produce an optimal mix proportion. Further, it discusses related durability aspects, mechanical properties and reaction products and their inter-relationship. It explains phase characterization with XRD/SEM, change in the bond formulations with FTIR, FESEM and EDAX analysis. A mix design guideline based on empirical statistical concept has been put forward for professionals to manufacture customized activated fly ash composites in presence of slag. Aimed at graduate/senior undergraduate students, researchers in civil engineering, construction engineering, ceramics, material sciences, this book:

Covers mechanical and microstructural properties, curing, durability of blended Alkali- activated composites with fly ash and blast furnace slag.

Proposes a guideline for mix design on chemical compositions of ingredients, relationship of synthesizing parameters, workability, target strength.

Describes sustainable green material manufacturing methodologies.

Discusses issues like microstructural properties and reaction mechanism.

Explores related modern experimental techniques like XRD, FTIR, MIP and so forth.

Includes colour illustrations This practical reference draws together the combined expertise of a wide range of health professionals in managing this condition. Their work is soundly based on recent research into its pathology manifestations and treatment to develop appropriate management strategies. Part of the value in this book lies in its reference to patient perspectives and how they can contribute to the most effective care.

Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments. The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments. Readers will find the volume: Provides comprehensive coverage of topics like machine and deep learning for intelligent security; Explores cyber-IoT systems and intrusion detection systems for identifying suspicious activities and mitigating potential threats;Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on.Audience Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT.

Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments. The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments. Readers will find the volume: Provides comprehensive coverage of topics like machine and deep learning for intelligent security; Explores cyber-IoT systems and intrusion detection systems for identifying suspicious activities and mitigating potential threats; Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on. Audience Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT.

Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments. The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments. Readers will find the volume: Provides comprehensive coverage of topics like machine and deep learning for intelligent security; Explores cyber-IoT systems and intrusion detection systems for identifying suspicious activities and mitigating potential threats; Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on. Audience Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT.

Includes colour illustrations This practical reference draws together the combined expertise of a wide range of health professionals in managing this condition. Their work is soundly based on recent research into its pathology manifestations and treatment to develop appropriate management strategies. Part of the value in this book lies in its reference to patient perspectives and how they can contribute to the most effective care.

Includes colour illustrations This practical reference draws together the combined expertise of a wide range of health professionals in managing this condition. Their work is soundly based on recent research into its pathology manifestations and treatment to develop appropriate management strategies. Part of the value in this book lies in its reference to patient perspectives and how they can contribute to the most effective care.