Faizan Ahmad – författare

Postharvest Loss and Waste Management of Horticultural Produce: From Farm to Fork addresses the major challenges and root causes of postharvest losses while also presenting solutions to reduce losses using innovative technologies. Sections introduce an overview of postharvest challenges, such as postharvest handling, storage, and transportation of fruits, vegetables, and berries, along with the impact of COVID-19 on postharvest losses. Other sections cover postharvest biological issues and control, such as postharvest diseases and microbiology issues of produce, novel technologies for reducing postharvest loss and waste in horticulture, like biological control, packaging, MAP films, etc., and mitigation strategies. A final section explores the environmental, economic, and social impact of postharvest losses across the food supply chain. Edited by a team of experts in the field, this is an excellent resource that brings sustainable solutions to reduce postharvest losses on a global level. Attracting a wider audience in the fields of food engineering and technology, as well as professionals, researchers, and academicians working in the fields of postharvest losses and their management, this book will be a welcomed resource.Provides the present status of postharvest losses of horticulture crops, including problems, root causes, and strategies to reduce themExplores the impact of COVID-19 on postharvest losses of horticultural crops from a “farm to fork” perspectivePresents the causes and management of postharvest diseases of horticultural cropsHighlights sustainable solutions to reduce postharvest losses such as biological control, packaging, MAP films, etc.

Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradigm, can be strategically applied to address critical aspects of the metaverse. The book covers a wide range of topics, including privacy-preserving personalization, security, collaboration, adaptive learning environments, real-time communication, decentralized governance, language understanding, immersive learning experiences, avatar customization, and dynamic scene rendering.Explores practical applications of federated learning within the metaverse, examining real-world scenarios and showcasing successful implementationsOffers diverse perspectives from experts in the fields of federated learning, virtual reality, augmented reality, and immersive technologiesProvides practical guidance on implementing federated learning techniques within metaverse applications, accompanied by code snippets and case studiesAddresses the ethical considerations and implications of utilizing federated learning in the metaverse, including privacy concerns and data governanceDiscusses emerging trends at the intersection of federated learning and the metaverse

Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors.Discusses emerging trends, potential challenges, and areas for future research, providing a roadmap for scholars looking to contribute to the evolving field of image processingExplains how AI and ML algorithms can be applied to analyze and interpret visual data captured by surveillance camerasConsiders the challenges and considerations associated with deploying computational intelligence in surveillance, including privacy concerns, ethical considerations, and technical limitationsExplores specific use cases and applications where computational intelligence can enhance surveillance capabilities, such as object detection, activity recognition, anomaly detection, and predictive analytics

Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors. - Discusses emerging trends, potential challenges, and areas for future research, providing a roadmap for scholars looking to contribute to the evolving field of image processing- Explains how AI and ML algorithms can be applied to analyze and interpret visual data captured by surveillance cameras- Considers the challenges and considerations associated with deploying computational intelligence in surveillance, including privacy concerns, ethical considerations, and technical limitations- Explores specific use cases and applications where computational intelligence can enhance surveillance capabilities, such as object detection, activity recognition, anomaly detection, and predictive analytics

Quality Control in Fruit and Vegetable Processing: Methods and Strategies illustrates the applications of various nonthermal technologies for improving the quality and safety of fruits and vegetables, such as microwave, ultrasound, gamma irradiation, pulsed light, and hurdle technology. The volume also looks at various strategies (osmotic dehydration, ultrasound- and ultrasound-assisted osmotic dehydration, nanoemulsions, and engineered nanomaterials) for the preservation of fresh produce. It emphasizes various nondestructive techniques that have been widely used for the quality assessment of fruits and vegetables during storage, including image analysis, x-ray tomography, magnetic resonance imaging (MRI), nonmagnetic resonance imaging (NMR), color vision system, near-infrared spectroscopy (NIRS), and computerized tomography (CT). Applications of other nondestructive mechanical (such as electronic tongue and nose technology) and dynamic methods (acoustic) for food quality and safety evaluation have also been included. The book concludes with an overview of the potential use of fruit and vegetable waste as a viable feedstock for bioenergy and for the treatment of wastewater.

Key features:

Promotes the utilization of new and novel nonthermal technologies for the preservation of fruits and vegetables Provide up-to-date information on the applications of nonthermal technologies for the quality and safety of fresh produce during storage Highlights different preservation strategies for improving the quality of fresh produce Explores the use of nondestructive quality assessment methods such as X-ray, MRI, NMR, etc. Discusses the potential industrial use of fruit and vegetable waste as a viable feedstock for bioenergy and for the treatment of industrial wastewater

This volume will provide food for thought for those in the food industry on new methods and technology for effective quality control in fruit and vegetable processing.

Quality Control in Fruit and Vegetable Processing: Methods and Strategies illustrates the applications of various nonthermal technologies for improving the quality and safety of fruits and vegetables, such as microwave, ultrasound, gamma irradiation, pulsed light, and hurdle technology. The volume also looks at various strategies (osmotic dehydration, ultrasound- and ultrasound-assisted osmotic dehydration, nanoemulsions, and engineered nanomaterials) for the preservation of fresh produce. It emphasizes various nondestructive techniques that have been widely used for the quality assessment of fruits and vegetables during storage, including image analysis, x-ray tomography, magnetic resonance imaging (MRI), nonmagnetic resonance imaging (NMR), color vision system, near-infrared spectroscopy (NIRS), and computerized tomography (CT). Applications of other nondestructive mechanical (such as electronic tongue and nose technology) and dynamic methods (acoustic) for food quality and safety evaluation have also been included. The book concludes with an overview of the potential use of fruit and vegetable waste as a viable feedstock for bioenergy and for the treatment of wastewater.

Key features:

Promotes the utilization of new and novel nonthermal technologies for the preservation of fruits and vegetables Provide up-to-date information on the applications of nonthermal technologies for the quality and safety of fresh produce during storage Highlights different preservation strategies for improving the quality of fresh produce Explores the use of nondestructive quality assessment methods such as X-ray, MRI, NMR, etc. Discusses the potential industrial use of fruit and vegetable waste as a viable feedstock for bioenergy and for the treatment of industrial wastewater

This volume will provide food for thought for those in the food industry on new methods and technology for effective quality control in fruit and vegetable processing.

Quality Control in Fruit and Vegetable Processing: Methods and Strategies illustrates the applications of various nonthermal technologies for improving the quality and safety of fruits and vegetables, such as microwave, ultrasound, gamma irradiation, pulsed light, and hurdle technology. The volume also looks at various strategies (osmotic dehydration, ultrasound- and ultrasound-assisted osmotic dehydration, nanoemulsions, and engineered nanomaterials) for the preservation of fresh produce. It emphasizes various nondestructive techniques that have been widely used for the quality assessment of fruits and vegetables during storage, including image analysis, x-ray tomography, magnetic resonance imaging (MRI), nonmagnetic resonance imaging (NMR), color vision system, near-infrared spectroscopy (NIRS), and computerized tomography (CT). Applications of other nondestructive mechanical (such as electronic tongue and nose technology) and dynamic methods (acoustic) for food quality and safety evaluation have also been included. The book concludes with an overview of the potential use of fruit and vegetable waste as a viable feedstock for bioenergy and for the treatment of wastewater.Key features:Promotes the utilization of new and novel nonthermal technologies for the preservation of fruits and vegetablesProvide up-to-date information on the applications of nonthermal technologies for the quality and safety of fresh produce during storageHighlights different preservation strategies for improving the quality of fresh produceExplores the use of nondestructive quality assessment methods such as X-ray, MRI, NMR, etc.Discusses the potential industrial use of fruit and vegetable waste as a viable feedstock for bioenergy and for the treatment of industrial wastewaterThis volume will provide food for thought for those in the food industry on new methods and technology for effective quality control in fruit and vegetable processing.

Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.

Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.

Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.

AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.

AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.

AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.

AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.

Biotechnology is a promising emerging technology that uses biological systems to develop new products with broad application across medical, industrial and environmental fields. Biotechnology in the food industry provides solutions to microbial issues as well as broader environmental issues, making it key to the safe and environmentally conscious production of all food types. Microbial Biotechnology in the Food Industry focuses on the major microbial issues facing the food industry and solutions using novel biotechnology techniques. The text promotes an understanding of basic and advanced microbiological issues in food production including food products, food contact surfaces, food operation floor and air and a wide range of issues related specific solutions using biotechnology. This text provides researchers and those in the food industry with a full overview of current innovative solutions to the major microbial issues in the food industry utilizing biotechnology.

Biotechnology is a promising emerging technology that uses biological systems to develop new products with broad application across medical, industrial and environmental fields. Biotechnology in the food industry provides solutions to microbial issues as well as broader environmental issues, making it key to the safe and environmentally conscious production of all food types. Microbial Biotechnology in the Food Industry focuses on the major microbial issues facing the food industry and solutions using novel biotechnology techniques. The text promotes an understanding of basic and advanced microbiological issues in food production including food products, food contact surfaces, food operation floor and air and a wide range of issues related specific solutions using biotechnology. This text provides researchers and those in the food industry with a full overview of current innovative solutions to the major microbial issues in the food industry utilizing biotechnology.

Biotechnology is a promising emerging technology that uses biological systems to develop new products with broad application across medical, industrial and environmental fields. Biotechnology in the food industry provides solutions to microbial issues as well as broader environmental issues, making it key to the safe and environmentally conscious production of all food types. Microbial Biotechnology in the Food Industry focuses on the major microbial issues facing the food industry and solutions using novel biotechnology techniques. The text promotes an understanding of basic and advanced microbiological issues in food production including food products, food contact surfaces, food operation floor and air and a wide range of issues related specific solutions using biotechnology. This text provides researchers and those in the food industry with a full overview of current innovative solutions to the major microbial issues in the food industry utilizing biotechnology.

The use of dates in non-traditional food products and their by-products for nutritional supplements has been practiced for centuries in many regions across the globe.  Unlike many traditional foods, there has been an influx of new technology and processes in the applications of date fruits, many of which have received sparse coverage in the literature.  Date Fruits and By-Products Processing covers off of the latest advances in date-fruits and their byproducts and also opens the door for future research in this field, including the use of non-thermal processing and shelf life extension. This research is especially important due to increasing volumes in date production and increasing consumer and industry awareness of the health benefits of date fruits.In Date Fruits and By-Products Processing Volume 1 researchers will find extensive coverage of the nutritional and chemical composition of dates, non-conventional and innovative date processing technology, including all the latest advances that are revolutionizing these age-old processes, value-added date fruit products, and non-traditional processing and applications. The colorful and interesting worldwide history of dates is outlined, including consumption trends and the evolution of health benefit awareness. Innovative new technologies, including non-thermal and high-pressure processing, pulsed electric field, ultraviolet, X-ray, and cold plasma processing, are examined. All of the major value-added products produced from dates are covered, including ice cream, nutrition bars, functional foods, dietary supplements, and dairy and bakery products. Of major value to researchers are chapters on sugar and polysaccharides extraction, phenolic compounds, and the conversion of dates into fermentation medium.  With the long history of date fruit use in traditional foods, plus recent advances in processing technology and health benefits awareness, date fruits are long overdue for extensive research work. With this book, researchers have everything they need to fully understand the history and future of date fruit products and their processing.

The use of dates in non-traditional food products and their by-products for nutritional supplements has been practiced for centuries in many regions across the globe.  Unlike many traditional foods, there has been an influx of new technology and processes in the applications of date fruits, many of which have received sparse coverage in the literature.  Date Fruits and By-Products Processing covers off of the latest advances in date-fruits and their byproducts and also opens the door for future research in this field, including the use of non-thermal processing and shelf life extension. This research is especially important due to increasing volumes in date production and increasing consumer and industry awareness of the health benefits of date fruits. In Date Fruits and By-Products Processing Volume 1 researchers will find extensive coverage of the nutritional and chemical composition of dates, non-conventional and innovative date processing technology, including all the latest advances that are revolutionizing these age-old processes, value-added date fruit products, and non-traditional processing and applications. The colorful and interesting worldwide history of dates is outlined, including consumption trends and the evolution of health benefit awareness. Innovative new technologies, including non-thermal and high-pressure processing, pulsed electric field, ultraviolet, X-ray, and cold plasma processing, are examined. All of the major value-added products produced from dates are covered, including ice cream, nutrition bars, functional foods, dietary supplements, and dairy and bakery products. Of major value to researchers are chapters on sugar and polysaccharides extraction, phenolic compounds, and the conversion of dates into fermentation medium.  With the long history of date fruit use in traditional foods, plus recent advances in processing technology and health benefits awareness, date fruits are long overdue for extensive research work. With this book, researchers have everything they need to fully understand the history and future of date fruit products and their processing.