Chethana Rajesh
Chethana Rajesh
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Closure Properties Of Context Free Languages
This video will provide some proofs on the closure properties of CFLs along with their applications.#svce
āļĄāļļāļĄāļĄāļ­āļ‡: 67

āļ§āļĩāļ”āļĩāđ‚āļ­

Process Of Patenting And Overview Of Industrial Design
āļĄāļļāļĄāļĄāļ­āļ‡ 649 āļŠāļąāđˆāļ§āđ‚āļĄāļ‡āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
"Learn about the process of patenting and get an overview of industrial design in this video! Discover how to protect your inventions with a patent, step-by-step, from filing an application to securing rights. Plus, explore the world of industrial design, focusing on the aesthetics and functionality of products that make them stand out in the market. Perfect for innovators, designers, and anyon...
Text Search using NFA and DFA
āļĄāļļāļĄāļĄāļ­āļ‡ 659 āļŠāļąāđˆāļ§āđ‚āļĄāļ‡āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
"Text search using NFA (Non-deterministic Finite Automata) and DFA (Deterministic Finite Automata) helps find patterns in text, like matching words or regular expressions. NFA can explore multiple paths at the same time, making it flexible but slower. DFA follows one path at a time, making it faster for searching but takes more effort to set up. These methods are widely used for pattern matchin...
Error Detection And Correction In Computer Networks
āļĄāļļāļĄāļĄāļ­āļ‡ 619 āļŠāļąāđˆāļ§āđ‚āļĄāļ‡āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
"Error detection and correction are methods used to ensure data stays accurate during transmission or storage. Error detection helps to find mistakes in the data, while error correction fixes them to ensure everything works properly. These techniques are essential in networks, storage devices, and communication systems to keep information reliable and error-free."
E Waste Rules 2022
āļĄāļļāļĄāļĄāļ­āļ‡ 159 āļŠāļąāđˆāļ§āđ‚āļĄāļ‡āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
This video will disclose the rules that are recently updated regarding the E-waste management
Boolean Model In Information Retrival System
āļĄāļļāļĄāļĄāļ­āļ‡ 809 āļŠāļąāđˆāļ§āđ‚āļĄāļ‡āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
"Learn how the Boolean Model in Information Retrieval uses AND, OR, and NOT operators to match queries with documents for precise and efficient search results."
Solid Waste Management Rules 2016 On Legislation
āļĄāļļāļĄāļĄāļ­āļ‡ 1712 āļŠāļąāđˆāļ§āđ‚āļĄāļ‡āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
"Learn about the Solid Waste Management Rules, 2016, a crucial framework for sustainable waste management in India. This video covers the key provisions, responsibilities of stakeholders, and the significance of proper waste segregation, recycling, and disposal. Join us as we explore how these rules aim to protect the environment and promote a cleaner, greener future!"
Concurrent process model
āļĄāļļāļĄāļĄāļ­āļ‡ 81āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Discussion about features, comparing with other process models and also some advantages and disadvantages.
Combinations With Repetition
āļĄāļļāļĄāļĄāļ­āļ‡ 745 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Combinations, including combinations with repetition, can be applied in various real-life scenarios to solve problems involving selection and optimization.#svce
Retrieval of data in SQL
āļĄāļļāļĄāļĄāļ­āļ‡ 605 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Data retrieval refers to the process of obtaining data from a database or any other storage system. This process is essential for applications where data needs to be fetched, analyzed, and presented in a meaningful way.
karastuba algorithm for Fast multipication
āļĄāļļāļĄāļĄāļ­āļ‡ 655 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
The Karatsuba algorithm is a fast multiplication algorithm that uses a divide-and-conquer strategy to multiply large numbers more efficiently than the classical method.#svce
Types of agents in real world environment
āļĄāļļāļĄāļĄāļ­āļ‡ 825 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
In a real-world environment, especially when discussing an AI-driven fuel and traffic management system, agents can be categorized into several types based on their roles, capabilities, and interactions with the environment.
Merging K sorted linked lists
āļĄāļļāļĄāļĄāļ­āļ‡ 855 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Merging k sorted linked lists is a common problem that can be efficiently solved using a min-heap (priority queue).
Three schema Architecture
āļĄāļļāļĄāļĄāļ­āļ‡ 995 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
when a user makes a request to the DBMS, it passes through the external schema (user view), is interpreted by the conceptual schema (logical view), and then the internal schema handles the actual data retrieval from the storage. This multi-layered approach allows for flexibility, security, and efficient data management.#svce
First order Logic in AI
āļĄāļļāļĄāļĄāļ­āļ‡ 775 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
This video may help you to know about the logics used to solve problems into simple instances. #svce #artificialintelligence
water conservation
āļĄāļļāļĄāļĄāļ­āļ‡ 1189 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
water conservation
Concept Of ANOVA With Example Problems
āļĄāļļāļĄāļĄāļ­āļ‡ 1249 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Concept Of ANOVA With Example Problems
Direct Memory Access With Bus Arbitration
āļĄāļļāļĄāļĄāļ­āļ‡ 449 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Direct Memory Access With Bus Arbitration
Methods Of Handling Deadlock
āļĄāļļāļĄāļĄāļ­āļ‡ 469 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Methods Of Handling Deadlock
Logic Gates
āļĄāļļāļĄāļĄāļ­āļ‡ 729 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Logic Gates
Argument Passing For Methods And Objects In JAVA
āļĄāļļāļĄāļĄāļ­āļ‡ 519 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Argument Passing For Methods And Objects In JAVA
Optimal Binary Trees in Data Structures
āļĄāļļāļĄāļĄāļ­āļ‡ 869 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Optimal Binary Trees in Data Structures
Memory Allocation Techniques In Operating Systems
āļĄāļļāļĄāļĄāļ­āļ‡ 339 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Memory Allocation Techniques In Operating Systems
Introduction to Operating Systems
āļĄāļļāļĄāļĄāļ­āļ‡ 10710 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Introduction to Operating Systems
Efficient Matrix Representation: Unveiling the Power of Sparse Matrices
āļĄāļļāļĄāļĄāļ­āļ‡ 8110 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Efficient Matrix Representation: Unveiling the Power of Sparse Matrices
Some Basic Concepts of Probability.
āļĄāļļāļĄāļĄāļ­āļ‡ 8411 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™
Some Basic Concepts of Probability.
Java programming
āļĄāļļāļĄāļĄāļ­āļ‡ 277āļ›āļĩāļ—āļĩāđˆāđāļĨāđ‰āļ§
Java programming
Hydroelectric power plant
āļĄāļļāļĄāļĄāļ­āļ‡ 136āļ›āļĩāļ—āļĩāđˆāđāļĨāđ‰āļ§
Hydroelectric power plant
python(programming basics)
āļĄāļļāļĄāļĄāļ­āļ‡ 107āļ›āļĩāļ—āļĩāđˆāđāļĨāđ‰āļ§
python(programming basics)
potentiometry
āļĄāļļāļĄāļĄāļ­āļ‡ 170āļ›āļĩāļ—āļĩāđˆāđāļĨāđ‰āļ§
potentiometry

āļ„āļ§āļēāļĄāļ„āļīāļ”āđ€āļŦāđ‡āļ™

  • @SureshNarayanaswamy
    @SureshNarayanaswamy āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Wonderful explanation😊

  • @nishanthn6449
    @nishanthn6449 4 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very informative

  • @nishanthn6449
    @nishanthn6449 4 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very nice

  • @nishanthn6449
    @nishanthn6449 4 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Can you pls provide notes

  • @nishanthn6449
    @nishanthn6449 4 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very nice 👍

  • @nishanthn6449
    @nishanthn6449 4 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very interesting ðŸĪ”

  • @nishanthn6449
    @nishanthn6449 4 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very nice

  • @nishanthn6449
    @nishanthn6449 4 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very informative can you pls provide notes 😊

  • @adityasinghrajput1647
    @adityasinghrajput1647 5 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    notes is osm

  • @nishanthn6449
    @nishanthn6449 9 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very informative 😊

  • @nishanthn6449
    @nishanthn6449 9 āļŦāļĨāļēāļĒāđ€āļ”āļ·āļ­āļ™āļāđˆāļ­āļ™

    Very interesting