Author: Mostafa Ezziyyani
Publisher: Springer Nature
ISBN: 3031543181
Category : Artificial intelligence
Languages : en
Pages : 441
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Book Description
Zusammenfassung: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings' caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains
Author: Khan, Mohammad Ayoub
Publisher: IGI Global
ISBN: 1668451433
Category : Technology & Engineering
Languages : en
Pages : 352
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Book Description
Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.
Author: Mallik, Saurav
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 556
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Book Description
Artificial intelligence (AI) innovation works to transform various sectors, driving efficiency, enhancing decision-making, and creating new opportunities for growth. From healthcare and finance to agriculture and entertainment, real-world applications of AI are demonstrating its potential to solve complex problems and improve everyday life. As these technologies continue to evolve, further exploration into the integration of AI into different fields may allow for a more efficient, sustainable, and innovative future. Real-World Applications of AI Innovation explores the latest advancements and practical applications of artificial intelligence across various domains. It delves into cutting-edge AI methodologies, algorithms, and technologies, providing readers with a deep understanding of the current landscape and future trends in AI research and development. This book covers topics such as smart farming, machine learning, and deep neural networks, and is a useful resource for computer engineers, scientists, medical professionals, agriculturalists, educators, researchers, academicians, and business owners.
Author: Antonio Lieto
Publisher: Routledge
ISBN: 1315460513
Category : Computers
Languages : en
Pages : 141
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Book Description
Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration. Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.
Author: Sharma, Dipanker
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 471
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Book Description
Organizations are facing an array of complex challenges that demand innovative solutions. From managing a diverse workforce and harnessing the power of data analytics to adapting to remote work and the pressing need for emotionally intelligent leaders, the demands on modern businesses are constantly evolving and increasing. Staying ahead of these challenges is not only essential for survival but also for thriving in an ever-changing environment. Leveraging AI and Emotional Intelligence in Contemporary Business Organizations is a compass that guides academic scholars, students, and practitioners through the turbulent seas of modern business management. It dissects the problems and offers clear, well-researched solutions. With a team of respected researchers, academicians, and professionals at the helm, this book is a beacon of knowledge, illuminating the path to success in today's business landscape.
Author: Vito Ferro
Publisher: Springer Nature
ISBN: 3031303296
Category : Science
Languages : en
Pages : 1202
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Book Description
This volume gathers the latest advances, innovations, and applications in the field of biosystems engineering, as presented at the 12th Conference of the Italian Association of Agricultural Engineering (AIIA), held in Palermo, Italy, on September 19-22, 2022. Focusing on the challenges of improving the resilience of agriculture, forestry and food systems in the post-Covid era, it shows how the research has addressed the following topics: Monitoring and modelling hydraulic and hydrological processes in agriculture and forestry systems; Challenges in stream rehabilitation and soil conservation strategies; Sustainable water resource management under climate change scenarios; Planning safe, healthy and resilient territorial, built and green systems; Cultural heritage preservation and rural landscape protection, planning and management; Plant and livestock production processes and technologies. Healthy and Organic farming. Animal welfare; Energy, waste and by-products smart use; Post-harvest logistics and food chain structures technology; Applications and experiences in smart agriculture and forestry; One Health, management and standardization for agriculture and forestry machinery and structures; Big data, machine learning and data hub in biosystems engineering. The contributions were selected by a rigorous peer-review process, and offer an extensive and multidisciplinary overview of the research in the field of biosystems engineering for sustainable agriculture.
Author: Alan Nankervis
Publisher: Springer Nature
ISBN: 9811616140
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
This book explores the core themes of the Fourth Industrial Revolution (4IR) highlighting the digital transformation that has been occurring in society and business. Representing an interface between technologies in the physical, digital and biological disciplines the book explores emerging technologies such as artificial intelligence, robotics, the Internet of Things, autonomous vehicles, 3-D printing, nanotechnology, biotechnology, materials science, energy storage, and quantum computing. The findings of collaborative research studies on the potential impact of the 4IR on the labour markets, occupations, future workforce competencies and skills associated with eight industry sectors in Australia are reported. The sectors are: agriculture and mining; manufacturing and logistics; health, medical and nursing; education; retail; financial services; government services and tourism.
Author: Ashish Kumar Tripathi
Publisher: Springer Nature
ISBN: 9819958814
Category : Technology & Engineering
Languages : en
Pages : 543
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Book Description
This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Sir Padampat Singhania University, India and is technically sponsored by Soft Computing Research Society during March 18–19, 2023. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain-machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human-computer interaction, intelligent sensor, devices and applications, and intelligent database systems.
Author: Ghonge, Mangesh M.
Publisher: IGI Global
ISBN: 1668463636
Category : Computers
Languages : en
Pages : 523
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Book Description
As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.
Author: Goncalo Marques
Publisher: Academic Press
ISBN: 0323855989
Category : Computers
Languages : en
Pages : 475
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Book Description
Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering
