Nala kala aug 2026 (11 risultati)

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 98 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 140 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 158 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 146 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 150 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 154 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep Learning Frameworks for Driver Drowsiness Prediction explores the application of deep learning, artificial intelligence, and computer vision techniques for detecting and predicting driver drowsiness. The book examines how intelligent systems can analyze driver-related visual and behavioral information to identify signs of fatigue and support the development of safety-oriented driver monitoring systems.The book introduces fundamental concepts of deep learning, neural networks, computer vision, image processing, and predictive modeling, with particular emphasis on their application to driver drowsiness analysis. It discusses approaches for data preparation, feature extraction, model development, classification, prediction, and performance evaluation.Particular attention is given to deep learning frameworks capable of processing visual and behavioral indicators associated with driver fatigue, including facial characteristics, eye-related patterns, and other observable cues. The book also considers challenges related to real-world driving environments, dataset quality, model performance, robustness, and the deployment of intelligent driver monitoring technologies.By connecting deep learning methodologies with driver drowsiness prediction, this book provides a useful reference for students, researchers, data scientists, automotive engineers, computer vision professionals, and practitioners working in artificial intelligence, intelligent transportation systems, and automotive safety. It is especially relevant to readers interested in developing AI-based technologies that can contribute to safer and more intelligent transportation systems. 152 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 164 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dry Sliding Wear, Air Erosion Modeling, and Response Surface Methodology Optimization examines engineering approaches for understanding material wear, erosion behavior, and the optimization of process parameters. The book focuses on dry sliding wear mechanisms, air erosion modeling, experimental variables, and statistical methods for evaluating and improving material performance. It introduces important concepts in tribology, surface interaction, erosion, materials engineering, experimental design, and response surface methodology. Attention is given to the relationship between operating conditions, material characteristics, and wear or erosion responses, together with quantitative techniques for analyzing process behavior. Response surface methodology is presented as a useful approach for studying interactions among influential parameters and identifying suitable operating conditions through systematic statistical modeling and optimization. The subject connects material characterization and wear analysis with engineering optimization, making the book relevant to students, researchers, materials engineers, mechanical engineers, manufacturing professionals, and readers interested in tribology, erosion analysis, experimental design, and applied statistical optimization. 98 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multimodal Deep Learning for Poverty Prediction examines the application of deep learning and multimodal data analysis to the prediction and assessment of poverty-related conditions. The book explores how information from different data modalities can be integrated to identify patterns, relationships, and indicators associated with socioeconomic conditions. It introduces fundamental concepts in deep learning, multimodal machine learning, data fusion, predictive modeling, and socioeconomic data analytics. Attention is given to methods for combining heterogeneous information sources, extracting meaningful representations, developing predictive models, and evaluating their performance. The discussion considers important analytical factors such as data quality, feature representation, model learning, classification, prediction, and interpretation of results. By connecting multimodal artificial intelligence with poverty prediction, the book provides a technical perspective on how computational methods can support quantitative socioeconomic analysis. It is intended for students, researchers, data scientists, economists, social scientists, engineers, and professionals interested in artificial intelligence, machine learning, data analytics, development studies, and computational approaches to socioeconomic research. The book provides a foundation for understanding multimodal deep learning techniques and their role in data-driven poverty analysis. 150 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Aerodynamic Interference and Rotor Optimization in Multirotor UAVs examines aerodynamic interactions and rotor performance in multirotor unmanned aerial vehicles. The book focuses on the effects of rotor-to-rotor interference and related aerodynamic phenomena that influence thrust generation, efficiency, stability, and overall vehicle performance. It introduces fundamental concepts in rotor aerodynamics, multirotor configurations, airflow interaction, propulsion systems, and aerodynamic analysis. Attention is given to the relationship between rotor arrangement, operating conditions, aerodynamic interference, and rotor performance. The discussion also considers optimization approaches for improving rotor characteristics and supporting efficient multirotor UAV design. Key engineering considerations include thrust, power requirements, aerodynamic efficiency, rotor geometry, flow behavior, and performance assessment. By connecting aerodynamic analysis with rotor optimization, this book provides a technical foundation for understanding performance-related challenges in multirotor UAV systems. It is intended for aerospace and mechanical engineering students, researchers, UAV designers, aerodynamics specialists, and professionals interested in unmanned aerial systems, rotorcraft technology, propulsion, and computational or experimental approaches to UAV performance analysis. 164 pp. Englisch.…