Pippet sky aug 2026 (23 resultados)

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

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 130 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 160 pp. Englisch.

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

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

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 118 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch.

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

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

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 196 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 192 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 192 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 160 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 194 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 168 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multimodal Poverty Prediction via Satellite Imagery and Socioeconomic Data offers a comprehensive, mathematically sound treatment of combining Earth observation datasets with ground-truth demographic metrics. As remote sensing technologies and computational spatial analysis rapidly evolve, integrating unstructured visual imagery with structured socioeconomic indicators has become a critical technical frontier for high-resolution poverty mapping. This monograph details the computational workflows, feature fusion architectures, and spatial statistical frameworks required to merge heterogeneous inputs into accurate predictive models. Covering multi-spectral satellite imagery, nighttime lights data, land-use classification, national census metrics, and survey data, the text addresses spatial non-stationarity and data sparsity. Designed for data engineers, remote sensing specialists, and computational spatial analysts, this work presents robust methodologies for building quantitative tools. 150 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Deep Learning and Machine Learning Frameworks for Cervical Cancer Screening presents a comprehensive exploration of computational intelligence techniques applied to digital pathology, automated cytology, and cervical cancer diagnostic systems. As clinical oncology increasingly adopts computer-assisted diagnostic tools, designing resilient algorithm pipelines to evaluate Papanicolaou smears, colposcopy imagery, and histopathological tissue samples has become a critical engineering discipline. This monograph details the mathematical principles, model architectures, and data processing strategies required to build reliable machine learning models for early detection and risk stratification.The text examines convolutional neural network architectures, transfer learning strategies, feature extraction routines, and hybrid classification algorithms optimized for complex cellular structures. It addresses fundamental technical challenges including class imbalance in clinical datasets, slide artifact filtering, multi-scale image segmentation, and model interpretability. Designed for biomedical engineers, data scientists, and medical imaging software developers, this volume provides rigorous insights into establishing automated screening systems that enhance diagnostic accuracy and operational efficiency in modern healthcare settings.2. Short Description3. Keywords4. BISAC Subjects COMPUTERS / Data Science / Data Analytics5. Thema SubjectsMKD Medical equipment & techniques / Biomedical engineeringUYQ Artificial intelligence & machine learningMMF Radiology 118 pp. Englisch. …

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Statistical and Probabilistic Models for Document Watermark Extraction presents a rigorous mathematical and algorithmic treatment of recovering hidden, fragile, and robust digital signals from physical and digital document images. As digital rights management, forensic document analysis, and content authentication become increasingly critical in information security, traditional heuristic extraction methodologies often fall short under noise, geometrical distortion, and adversarial degradation. This volume addresses those technical limitations by establishing a unified probabilistic framework for modeling watermark embedding, channel interference, and signal recovery.Beginning with the foundational principles of statistical signal processing, the text explores maximum likelihood estimation, Bayesian decision theory, and Markov random fields applied to spatial and transform-domain watermarking. It systematically analyzes feature extraction under stochastic conditions, offering detailed formulations for blind and non-blind extraction algorithms. Engineers and researchers will gain insight into parameter estimation techniques, expectation-maximization routines, and density estimation methods tailored for degraded physical scans, micro-text embeds, and high-resolution digital media.Designed for information security engineers, signal processing researchers, and computer science specialists, this monograph bridges theoretical probability and applied document analysis. By treating watermark extraction as an optimal statistical inference problem, the text provides readers with the analytical tools needed to design resilient extraction systems, evaluate detector performance metrics, and enhance document integrity verification in complex operational environments. 112 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Improved Hybrid Deep Learning Technique for Nodule Segmentation offers a comprehensive technical exploration of advanced computational architectures designed for precise volumetric lesion boundaries and medical image analysis. As diagnostic radiology increasingly relies on automated detection systems, combining distinct deep neural network paradigms has emerged as a vital methodology to resolve spatial ambiguity, low contrast, and structural variance in medical imaging. This monograph establishes the theoretical foundations, algorithmic structures, and feature extraction frameworks necessary to construct high-performance hybrid models for image segmentation.Focusing on the integration of convolutional neural networks, vision transformers, and multi-scale attention mechanisms, the text details spatial loss function optimization, encoder-decoder feature fusion, and contextual feature representations. It addresses technical challenges such as class imbalance, boundary delineation, and feature representation across complex diagnostic scans. Designed for biomedical engineers, computer vision researchers, and medical imaging software developers, this book delivers mathematical clarity and algorithmic rigor to enable the development of robust segmentation pipelines. 146 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Continuum Damage Mechanics in Tribological Components provides a rigorous, mechanics-based treatment of progressive material degradation, contact fatigue, and wear evolution in contacting mechanical interfaces. As high-performance rotating machinery, bearings, gears, and structural contact pairs demand higher load densities and operational longevity, classical empirical wear laws often fail to capture localized stress concentrations, micro-cracking, and thermo-mechanical degradation mechanisms. This volume establishes a unified mathematical and constitutive framework by coupling continuum damage mechanics principles with contact stress analysis and surface engineering fundamentals.The text systematically develops thermodynamic state variable formulations, damage evolution laws, isotropic and anisotropic damage tensors, and constitutive stress-strain relationships for multi-axial contact loading. It examines micro-structural fatigue initiation, subsurface spalling, contact friction dissipation, and dynamic stiffness degradation under high-cycle and low-cycle contact regimes. Designed for mechanical engineers, tribologists, materials scientists, and computational mechanics specialists, this monograph delivers the theoretical foundation and analytical tools required to predict component failure modes, evaluate surface durability, and enhance the structural integrity of advanced tribological systems.2. Short DescriptionA technical guide detailing continuum damage mechanics, constitutive contact models, thermo-mechanical wear, and failure prediction in tribological interfaces.3. Keywords4. BISAC Subjects TECHNOLOGY & ENGINEERING / Materials Science / General5. Thema SubjectsTGM Mechanical engineeringTGB Mechanical engineering: tribology & lubricationTGMH Materials science 160 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Ergonomic Integration in Mixed-Model Line Balancing delivers a rigorous, systems-engineering treatment of combining physical human workload factors with computational line balancing optimization in multi-variant manufacturing environments. As modern assembly lines increasingly accommodate product customization, high-product-variety assembly systems face severe operational complexity. Standard line balancing models often prioritize cycle time, station capacity, and line efficiency while overlooking dynamic operator fatigue, repetitive strain metrics, and physical risk factors. This monograph bridges industrial engineering principles and ergonomic science to establish unified multi-objective mathematical formulations for mixed-model production lines.The text details spatial line layout strategies, workstation sequencing, physical task allocation models, and multi-objective optimization algorithms designed to balance assembly throughput alongside human physical workload indices. It explores mixed-integer linear programming, constraint logic programming, dynamic task allocation routines, and metaheuristic solvers tailored to resolve trade-offs between assembly efficiency and physical strain. Designed for industrial engineers, manufacturing systems analysts, operations research specialists, and ergonomics researchers, this volume provides analytical frameworks to optimize modern, human-centric production environments. 192 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Edge Deep Learning and Computational Offloading in IoT Systems examines the integration of deep learning, edge computing, and computational offloading for intelligent Internet of Things environments. The book explores how machine learning workloads can be processed closer to IoT devices to reduce dependence on centralized computing resources and support efficient data processing. It introduces key concepts in edge intelligence, deep neural networks, IoT architectures, distributed computing, and computational offloading. Attention is given to the relationship between device capabilities, workload distribution, communication requirements, latency, energy consumption, and computational resources. The discussion considers approaches for assigning computational tasks between IoT devices, edge nodes, and other computing resources while supporting the execution of deep learning workloads. It also addresses important considerations in system design, including resource management, processing efficiency, network constraints, and performance evaluation. The book provides a technical foundation for students, researchers, computer engineers, network professionals, and practitioners working in edge computing, artificial intelligence, distributed systems, and IoT technologies. 168 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -For millennia, written manuscripts have served as the fundamental infrastructure of human civilization, encapsulating technological knowledge, cultural evolution, and the systematic transmission of ideas across generations. Manuscripts as Vessels of Human Civilization provides a comprehensive examination of how physical texts, historical codices, and material documentation reflect and shape scientific, engineering, and cultural achievements.Analyzing the physical production, preservation, and textual dynamics of historic documents, this volume addresses the intersection of material culture, information science, and technological preservation. It examines the structural evolution of manuscript formats from ancient papyri and parchment codices to early printed texts, highlighting the engineering principles involved in ink formulation, substrate durability, binding mechanics, and archive conservation.Designed for scholars, information scientists, codicologists, and preservation specialists, this work illuminates the continuous technical development required to safeguard recorded knowledge. By assessing the material methods used to construct and protect historical texts, the text demonstrates how manuscripts function not only as static historical artifacts, but as active tools of human intellectual continuity, structural design, and technological heritage across global societies. 194 pp. Englisch.…