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  1. Exception Handling

    In this chapter, we will discuss exception handling in solid-state drive (SSD) firmware. We will start by discussing the different types of errors...
    Gopi Kuppan Thirumalai in A Beginner's Guide to SSD Firmware
    Chapter 2023
  2. Life Cycle Management

    In this chapter, we specify the business requirements and propose the solution concept for life cycle management. In the context of artificial...
    Chapter 2024
  3. Interrupts and Interrupt Handling

    Have you ever wondered how computer components demand and get attention from the CPU? How do they tell the CPU or operating system that something...
    Chapter 2024
  4. An exception handling framework for case management

    In order to achieve their business goals, organizations heavily rely on the operational excellence of their business processes. In traditional...

    Kerstin Andree, Sven Ihde, ... Luise Pufahl in Software and Systems Modeling
    Article Open access 08 April 2022
  5. Handling Fatigue

    There is no single accepted definition of the different types of fatigue a person can experience, but MF (cognitive impairment), physical fatigue and...
    Thiago Gabriel Monteiro, Houxiang Zhang in Mental Fatigue Assessment in Demanding Marine Operations
    Chapter 2024
  6. Handling Errors

    This chapter will look at different types of errors that occur in AI systems and strategies for handling them.
    Chapter 2022
  7. Error Handling

    This chapter extends the previous one, by taking the tool created in Chap. 14 and adding error...
    Chapter 2022
  8. Blockchain for Handling the Data in Higher Education

    Data and digital resources are being used more and more in education. In modern education, data security, integrity, and privacy are crucial. The...
    Gokul Yenduri, Rajesh Kaluri, ... Azham Bin Hussain in Applied Assistive Technologies and Informatics for Students with Disabilities
    Chapter 2024
  9. Enhancing Semi Supervised Semantic Segmentation Through Cycle-Consistent Label Propagation in Video

    To perform semantic image segmentation using deep learning models, a significant quantity of data and meticulous manual annotation is necessary (Mani...

    Veerababu Addanki, Dhanvanth Reddy Yerramreddy, ... Vyshnav Durgapu in Neural Processing Letters
    Article Open access 06 February 2024
  10. Entropy and sigmoid based K-means clustering and AGWO for effective big data handling

    In this article, we have presented the effective handling of big data using adaptive clustering and optimization techniques. Initially, heterogeneous...

    Ramdas Vankdothu, Mohd Abdul Hameed, ... Gaurav Garg in Multimedia Tools and Applications
    Article 03 October 2022
  11. On the comparative performance of recent swarm intelligence based algorithms for optimization of real-life Sterling cycle operated refrigeration/liquefaction system

    In the recent past year of 2020–2021, researchers proposed many swarm intelligence based algorithms. In the present work, an effort has been made to...

    Bansi D. Raja, Vivek K. Patel, ... Ali Rıza Yıldız in Artificial Intelligence Review
    Article 19 May 2022
  12. Life-Cycle Management After Import

    In the previous chapter, we discussed some of the common import issues and best practices with Terraform. This chapter will cover potential Terraform...
    Sumit Bhatia, Chetan Gabhane in Reverse Engineering with Terraform
    Chapter 2024
  13. Chapter 2 Testing Throughout the Software Development Life Cycle

    This chapter describes the different test levels and test types during the software development life cycle, including later maintenance testing.
    Lucjan Stapp, Adam Roman, Michaël Pilaeten in ISTQB® Certified Tester Foundation Level
    Chapter 2024
  14. Exact and Approximation Algorithms for the Multi-depot Data Mule Scheduling with Handling Time and Time Span Constraints

    In this paper, we investigate the data mule scheduling with handling time and time span constraints (DMSTC) in which the goal is to minimize the...
    Minqin Liu, Wei Yu, ... **nmeng Guo in Combinatorial Optimization and Applications
    Conference paper 2024
  15. C2ShadowGAN: cycle-in-cycle generative adversarial network for shadow removal using unpaired data

    Recent advances in deep learning technology, and the availability of public shadow image datasets, have enabled significant performance improvements...

    Sunwon Kang, Juwan Kim, ... Byoung-Dai Lee in Applied Intelligence
    Article Open access 08 November 2022
  16. Handling uncertainty issue in software defect prediction utilizing a hybrid of ANFIS and turbulent flow of water optimization algorithm

    During the development cycle of software projects, numerous defects and challenges have been identified, leading to prolonged project durations and...

    M. A. Elsabagh, O. E. Emam, ... T. Medhat in Neural Computing and Applications
    Article Open access 14 December 2023
  17. FPGA implementation of hardware accelerated RTOS based on real-time event handling

    Actual trends in the real-time system field consists of migration towards complex central processing unit (CPU) architectures with enhanced execution...

    Ionel Zagan, Vasile Gheorghiță Găitan in The Journal of Supercomputing
    Article 13 March 2023
  18. Decision support system for handling control decisions and decision-maker related to supply chain

    Background

    The present study presents a knowledge-based DSS framework for supporting the decision-maker and handling control decisions related to...

    Dimah Hussein Alahmadi, Arwa A. Jamjoom in Journal of Big Data
    Article Open access 30 November 2022
  19. Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation

    Recently, governments and organizations have repeatedly pressed manufacturing enterprises to promote the ethical and transparent use of natural...

    Lahcen Tamym, Lyes Benyoucef, ... Moulay Driss El Ouadghiri in Journal of Big Data
    Article Open access 11 November 2023
  20. Exception Handling

    Sometimes, things can unexpectedly go wrong. In Java, that usually manifests as an Exception being thrown. In Jakarta EE, it’s basically no...
    Chapter 2022
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