Manages secrets and sensitive information securely. Provides an abstraction on top of a set of secrets stores, allowing developers to handle secrets without storing them in the application code or system environment variables.
Enables your application to save, read, and query key/value pairs in supported state stores. Provides stateful, long-running applications with the ability to build stateful applications that save and retrieve data.
Facilitates communication between applications using a publish-subscribe pattern. Supports Azure Event Hubs as a pub-sub component, allowing for event-driven architecture and asynchronous messaging.
Encapsulates state and behavior in a single unit. Provides a way to model and implement concurrent, distributed, and event-driven systems.
Allows your application to reliably communicate with other applications using HTTP or gRPC. Acts as a reverse proxy that comes with service discovery, access control, metrics, retries, and more.
Integrates your application with various external services, such as Azure Functions, using bindings. Supports Dapr trigger, Dapr service invocation trigger, Dapr topic trigger, and more.
Enhances the visibility and understanding of your application's behavior. Provides metrics, logs, and traces to help you monitor and troubleshoot your application.
Cron jobs are a powerful feature provided by the Dapr framework that allow you to run scheduled tasks at regular intervals. Dapr's Cron binding makes it easy to set up and manage these scheduled jobs in your applications.
Allows you to extend the functionality of Dapr by adding custom middleware components, such as authentication, authorization, and rate limiting.
Supports the execution of long-running, multi-step processes. Enables the orchestration of multiple services and components to achieve complex business logic.
Parses CSV files and provides a data structure that can be used in your application. Simplifies the process of reading and manipulating CSV data.
Processes images and provides image-related functionality. Can be used to manipulate, resize, or transform images in your application.
Extracts data from websites. Allows your application to scrape websites and retrieve information for further processing.
Md. Atiqul Islam, Shamim Akhter, Tumnun E. Mursalin. “Automated Textile Detect Recognition System using Computer Vision and Artificial Neural Networks''. Enformatika, Transactions on Engineering, Computing and Technology, ISSN 1305-5313, ISBN: 975-00803-2-7, Budapest, Hungary, May 26-28, 2006
Md. Atiqul Islam, Shamim Akhter, Tumnun E. Mursalin, M. Ashraful Amin. “A Suitable Neural Network to Detect Textile Defects.” ICONIP 2006, The 13th International Conference on Neural Information Processing, Hong Kong Convention and Exhibition Centre, Hong Kong, October 3-6, 2006
Md. Atiqul Islam, Shamim Akhter, Tumnun E. Mursalin, M. Ashraful Amin. “Automated System to Detect Textile Defects.” American Journal of Science and Engineering (AJSE), Volume 5, No. 1, August 2006, pp.71-75