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Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction...
This book constitutes the proceedings of the 11th Ecuadorian Conference on Information and Communication Technologies, TICEC 2023, held in Cuenca, Ecuador, during October 18–20, 2023. The 31 full papers presented were carefully reviewed and selected from 120 submissions. The papers cover a great variety of topics, such as internet of things, cyber-physical systems, human-machine interface, artificial Intelligence, e-Learning, smart healthcare, smart healthcare and others. The papers are organized in the following topical sections: data science and machine learning; ICTs and their applications; and software development.
This book constitutes the refereed proceedings of the 13th Ecuadorian Conference on Information and Communication Technologies, TICEC 2025, held in Quito, Ecuador, during October 16–17, 2025. The 30 full papers included in this book were carefully reviewed and selected from 104 submissions. They were organized in topical sections as follows: Artificial Intelligence and Data Science; E-Learning; ICT Applications; Software; and Doctoral Consortium.
This book constitutes the refereed proceedings of the 12th Ecuadorian Conference on Information and Communication Technologies, TICEC 2024, held in Loja, Ecuador, during October 16–18, 2024. The 24 full papers presented here were carefully reviewed and selected from 74 submissions. They were organized in the following topical sections: Image Processing, Classification, and Segmentation; Artificial Intelligence and Machine Learning Applications; IoT, Embedded Systems, and Applications in Healthcare and Industrial Environments.
This open access volume presents select proceedings of the International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS-2025). It explores the transformative role of Artificial Intelligence (AI) across diverse domains. It covers interdisciplinary collaboration and innovation by highlighting cutting-edge research, emerging trends, and real-world applications of AI in engineering, healthcare, and scientific advancements.
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This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
Drawing on the work of a large team of specialists, this book contains 500 entries on all the leading directors, stars, studios and genres in Indian cinema. In addition to comprehensive filmographies, it also features 1450 entries on key films from all periods and regions, with cast and credits as well as concise critical evaluations. A chronicle of film history, together with basic production statistics and an index, complete the volume.
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