Research Algorithms

Message Digest 5 (MD5) Algorithm

What is Message Digest Algorithm (MD5) Ronald Rivest created the cryptographic hash algorithm known as the Message Digest Algorithm 5 (MD5) in 1991. It is frequently used to convert any…

Secure Hash Algorithm (SHA)

What is Secure Hash Algorithm (SHA)? The National Institute of Standards and Technology (NIST) publishes the Secure Hash Algorithm (SHA), a family of cryptographic hash functions created by the National…

ElGamal Encryption Algorithm

What is ElGamal Encryption Algorithm? An asymmetric cryptographic technique for safe data transfer is the ElGamal Encryption Algorithm. It works on the discrete logarithm issue, which is computationally challenging to…

Elliptic Curve Cryptography (ECC) Algorithm

What is Elliptic Curve Cryptography (ECC) Algorithm? Using the mathematical characteristics of elliptic curves over finite fields, Elliptic Curve Cryptography (ECC) is a public key cryptography technology that offers safe…

RSA Algorithm

What is RSA Algorithm? A public-key cryptography technique called Rivest–Shamir–Adleman (RSA) makes it possible to send data securely via unprotected networks. It employs two distinct keys, making it an asymmetric…

Apriori Algorithm in Data Mining: Working, Applications & Association Rule Learning

What is Apriori Algorithm? Large transactional databases can be mined for frequent itemsets and association rules using the traditional Apriori approach. Finding patterns of items that commonly co-occur in transactions…

Autoencoders (AE) in Deep Learning: Architecture, Types & Real-World Applications

What is Autoencoders (AE) Algorithm? An Artificial Neural Network type called an Autoencoder (AE) is used for unsupervised learning. Its objective is to learn effective data representations, usually for feature…

FP-Growth Algorithm in Data Mining: Fast Frequent Pattern Mining Explained

What is FP-Growth (Frequent Pattern Growth)? An effective and scalable technique for mining frequent itemsets in big transactional databases is the FP-Growth (Frequent Pattern Growth) algorithm. By employing a tree-based…

Deep Belief Networks (DBN): Architecture, Training Process & Applications in Deep Learning

What is Deep Belief Networks (DBN) Algorithm? One kind of deep learning model is called a Deep Belief Network (DBN), which is composed of several layers of unsupervised learning models…

Deep Q-Networks (DQN): Reinforcement Learning with Deep Neural Networks Explained

What is Deep Q-Networks (DQN) Algorithm? The Deep Q-Network (DQN) algorithm is a reinforcement learning technique that solves issues with very large or continuous state or action spaces by combining…