Account
Orders
Advanced search
Battery electric vehicles are considered a key technology for achieving zero-emission mobility, increasing the demand for efficient battery thermal management systems (BTMSs) capable of ensuring both high performance and long battery lifetime. While conventional BTMS...
High-resolution magnetic resonance imaging (MRI) is clinically vital but inherently slow. Accelerating acquisition via undersampling introduces artefacts, whereas long scans risk motion blur; traditional solutions, such as compressed sensing, often fail under such heavy...
Energy-intensive sectors such as industry and transportation are vital to economic development, yet remain major contributors to global energy consumption and greenhouse gas emissions. Enhancing their energy efficiency is essential to achieving climate resilience and...
The work grew out of a very practical problem: the AppSec team was drowning in security scanning alerts but still occasionally missed real issues that had been dismissed as false positives. Wanted to present a way not just to tune individual tools, but to look across...
Vehicle interior noise at highway speeds is dominated by aerodynamic sources arising from unsteady turbulent flow around external components. Carlo Alberto Perugini presents a hybrid computational methodology for predicting aerodynamic noise sources and their...
Facility layout planning is a core discipline in production management, directly shaping operational efficiency, material flow, and cost structures. Despite its criticality, facility layout planning presents a complex combinatorial problem, often approached through...
Intelligent Tutoring Systems (ITS) aim to provide students with comparable instructional advantages to that of a human tutor by responding to individual needs and providing immediate feedback. This book provides the implementation and some testing of such an ITS for...
Upcoming automotive regulations require near-zero emissions, making cold-start catalyst heating a key challenge. This work investigates post oxidation through secondary air injection into the exhaust manifold to oxidise unburned fuel from rich combustion, generating...
Industrial production is facing growing challenges due to more complex supply chains, shorter development cycles, and greater product variance. At the same time, the availability of production data and advances in artificial intelligence mean that the opportunities for...
The airflow that cars experience on the road is inherently unsteady, but aerodynamic development mainly occurs in steady-state environments. Xiao Fei aims to deepen the understanding of unsteady drag and the corresponding simulation methods. Wind tunnel measurements...
E-commerce operates in a highly dynamic and competitive environment, where customer satisfaction is key to success. Delivering personalized experiences at scale requires systems capable of reliably modeling individual customer behavior while respecting privacy and data...
The advent of artificial intelligence (AI) and machine learning (ML) has significantly transformed production management in industrial manufacturing by enabling data-driven decision-making. While human decision-making is valued for its adaptability and contextual...
Adaptation and change are imperative for products and companies to remain competitive. Managing these changes, however, is increasingly difficult and requires thorough planning and management. Especially in complex production systems, the efficient handling of these...
This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents. The system addresses the trade-off between high performance and transparency in RL...
Offshore wind farms are major contributors to sustainable energy generation. However, their installation is highly weather-dependent, making the planning of costly resources, like jack-up vessels or port spaces, challenging. While existing models support strategic and...
Automated driving requires robust and reliable perception systems, but rare and dangerous scenarios are often missing from real-world data. Kun Gao proposes an approach to scene data augmentation that combines real and virtual data to improve the performance of...
Technological progress has made significant advances in manufacturing companies during the fourth industrial revolution. Production machines and their operation are leading to a sharp increase in the demands placed on personnel. Set-up processes on machines and systems...
As digital circuits are at the core of most of our everyday technologies, society heavily relies on their precise and predictable behavior. However, this demand for correctness often clashes with the speed of today’s design workflows. Whereas a design can be...
The high prevalence of mental health disorders worldwide has created a big demand on mental health care professionals. To relieve personnel and provide increased access to care, the use of AI and VR has been researched for many decades. As the human-centered...
The development of the Internet, particularly the World Wide Web, is currently reaching its limits – both technically and in socio-cultural and economic terms. As a solution, a new form of the Internet is being promised: one that aims to overcome the boundaries...
Les livres numériques peuvent être téléchargés depuis l'ebookstore Numilog ou directement depuis une tablette ou smartphone.
PDF : format reprenant la maquette originale du livre ; lecture recommandée sur ordinateur et tablette EPUB : format de texte repositionnable ; lecture sur tous supports (ordinateur, tablette, smartphone, liseuse)
DRM Adobe LCP
LCP DRM Adobe
Sign up to get our latest ebook recommendations and special offers