Java Stack Implementation Using Arrays
This implementation demonstrates how to create a Stack data structure using an array in Java. A stack follows the Last-In-First-Out (LIFO) principle.
The Stack Class
class Stack {
private int top; // Represents the index position of the topmost element in the stack
private int maxSize; // Represents the maximum number of elements that can be stored in the stack
private int[] arr;
Stack(int maxSize) {
this.top = -1; // Top is -1 when the stack is created
this.maxSize = maxSize;
C++ Minimum Array Jumps and Oscillating Subsequence
C++ Minimum Array Jumps and Oscillating Subsequence
Code samples: two C++ routines: one to compute the minimum number of jumps to reach the end of an array, and another to compute the longest oscillating indexed subsequence using a segment tree and coordinate compression.
Minimum Array Jumps (C++)
The following function returns the minimum number of jumps required to reach the last index of an array where each element denotes the maximum jump length from that position. It returns -1 if the end is not
Read MorePeer-to-Peer Search and Information Retrieval Systems
1. Peer-to-Peer Search
Answer: Introduction
Peer-to-peer (P2P) search is an information retrieval approach in which documents and data are distributed across multiple peer nodes, and search operations are performed without a centralized server. Each peer acts as both a client and a server.
Concept of Peer-to-Peer Search
In a P2P system, data is stored locally on individual peers. When a user submits a query, it is forwarded to other peers in the network. Each peer searches its local data and returns
Computer Vision Concepts: Image Processing, Transforms, and Models
Q1: Image Representation and Processing
In computer vision, image representation is the method of converting a real-world scene into a digital format that a computer can understand and process. A digital image is represented as a two-dimensional function f(x, y), where x and y denote spatial coordinates and f represents the intensity or channel values at that location. In grayscale images, each pixel stores a single intensity value; in color images, each pixel is represented using multiple channels
AI Threat Detection for Unknown and Large-Scale Attacks
Capabilities of AI for Unknown or Large-Scale Attacks
AI capabilities help networks detect attacks that evade traditional signature-based systems (unknown attacks) and handle the sheer volume of modern threats (scale) through the following mechanisms:
Behavioral Modeling
AI builds baseline (peacetime) models of every device, application, and service to understand normal behavior. This allows it to detect zero-day attacks (unknown threats) because they deviate from the established norm rather than relying
Read MoreFast R-CNN, GANs, Edge Detection and Core Image Processing Concepts
Fast R-CNN Multi-Stage Architecture and Benefits
Q. Explain the multi-stage architecture of Fast R-CNN and how it improves upon R-CNN.
Definition: Region-based Convolutional Neural Network
Fast R-CNN is an object-detection algorithm that improves R-CNN by using a single CNN and a multi-stage training architecture for faster and more accurate detection.
Multi-Stage Architecture of Fast R-CNN
Fast R-CNN works in the following stages:
Input Image
– The whole image is given as input once.
Shared Convolutional