Resultaten voor 'li ma'

1. Blandine , Laperche
2. Lima Marcos
3. Seulliet Eric

Les écosystèmes d'innovation

Les auteurs: Xavier BARON, Sophie BOUTILLIER, Alain CLERGEOT, Guillaume COMPAIN, Nicolas CUGIER, Emmanuelle DUBOCAGE, Laurent DUPONT, Patrick DUVAUT, Rémi LALLEMENT, Blandine LAPERCHE, Marcos LIMA, Dave MOBHE BOKOKO, Elodie NEDELEC, Hélène PERRIN BOULONNE, Gabriel PLASSAT, Xavier ROY, Michel SALOFF-COSTE, Frédérique SAVEL, Eric SEULLIET, Bérangère L. SZOSTAK, André TORRE, Antonella TUFANO, Brigitte TROUSSE, Isabelle VERILHAC.

Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries

Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries

Proceedings of International Conference on Theoretical and Applied Computing

This book presents research papers presented at the International Conference on Theoretical and Applied Computing 2023, held during September 13-15, 2023. ICTAC 2023 is organized by Amal Jyothi College of Engineering, India. This book covers topics, such as theoretical foundations of computing, algorithms and data structures, computer systems and architecture, computer networks and communications, graph theory, algorithms and complexity, quantum computation theory, computational geometry, software engineering and programming languages, human-computer interaction, artificial intelligence and machine learning, data mining and knowledge discovery, parallel and distributed computing, grid and cloud computing, bioinformatics/biomedical applications, data mining, evolutionary computation, fuzzy logic, genetic algorithms, natural language processing and image processing.

1. Nan Li
2. Lianbo Ma
3. Yuhua Qian

Performance Predictor in Evolutionary Neural Architecture Search

This book explores the emerging role of performance predictors in evolutionary neural architecture search (ENAS), highlighting representative methods and practical applications that make this field both timely and impactful. By bridging performance prediction with evolutionary optimization, it addresses one of the most pressing challenges in deep learning: how to efficiently design and evaluate neural architectures without incurring prohibitive computational costs. The book provides a systematic overview of predictor-driven approaches across diverse neural network model families, including graph neural networks, convolutional neural networks, and fuzzy neural networks. It introduces accuracy predictors as well as rank-aware predictors, illustrating how these methods enhance the efficiency, scalability, and generalizability of neural architecture search. In addition to results on widely used benchmark datasets, the book emphasizes practical applications such as defect detection and medical image segmentation, showcasing how predictor-guided ENAS delivers both research insights and real-world impact. By engaging with this book, readers will gain a clear understanding of how performance predictors accelerate ENAS, discover both classical techniques and recent advances, and appreciate the methodological and applied value of predictor-guided architecture design. The book equips its audience with frameworks to evaluate and extend predictor-based methods, positioning them at the intersection of evolutionary computation, performance prediction, and neural architecture search. Additionally, the code related to the book will be available as open source. This volume is intended for researchers, graduate students, and professionals seeking to deepen their expertise in evolutionary computation, neural networks, and neural architecture search. A foundational background in these areas will facilitate full engagement with the material and enable readers to leverage the presented concepts for both academic inquiry and applied innovation.

1. Karl , Liebstückel
2. Markus , Seidl

Plant Maintenance with SAP: Business User Guide

Perform your plant maintenance tasks in SAP S/4HANA! This user guide contains detailed, click-by-click instructions for your core functions, from planned and preventive maintenance to repairs, refurbishment, and beyond. Integrate with SAP and third-party systems for a seamless workflow, and get up to speed with the latest technologies and AI capabilities to optimize asset management for your organization. This is the all-in-one resource for your PM workday! Highlights include: 1)Asset management 2)Organizational structures 3)Work orders 4)Notifications 5)Preventive maintenance 6)Repairs 7)Integration 8)Plant maintenance controlling 9)Intelligent asset management 10)Mobile apps 11)Usability