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Introduction We can considerably modernize the user's wits by implementing a chatbot and connecting it with an Android application. This enables for increasingly engaging engagement with the program, which simplifies surfing and obtaining information. In this tutorial, we'll squint at how to create an Android chatbot with the BrainShop API. We will divide the method into multiple sections to offer well-spoken and intelligible instruction. What is BrainShop API With the BrainShop API, programmers can easily incorporate AI and NLP-powered chatbot functionality into their projects. Intentional recognition, entity extraction, and sentiment analysis are just some of the cutting-edge technologies that make ... Read More
Introduction Data pre-processing is required for producing trustworthy analytical results. Data preparation includes eliminating duplicates, identifying and fixing outliers, normalizing measurements, and filing away categories of information. Popular for its ability to scale features, handle missing data, and encode categorical variables, the Python-based Sklearn toolkit is an essential resource for pre-processing data. With Sklearn, preprocessing data is a breeze, and you have access to trustworthy methodologies for effective data analysis. Data Pre-Processing Techniques Standard Scaling Data can be transformed using standard scaling so that it is normally distributed around zero and one. It ensures that everything is uniform in size. This ... Read More
Introduction In the quickly changing world of smartphone application development, offering a smooth user satisfaction has become a top aim for developers. A method to accomplish this can be achieved by including clever replies in your Android application. Intelligent responses provide users pre-determined reply options, minimizing time and exertion when interacting with the application. Firebase Machine Learning Kit, an extensive machine learning framework, offers robust tools to integrate smart response capability in mobile apps for Android. Within this post, we will examine the process of generating sophisticated replies on Android by employing Firebase ML Kit. I will proceed through the ... Read More
As we know, MATLAB is a powerful tool that can be used to perform various operations on matrices. One such operation is finding the percentage of similarity between two matrices. Finding percentage of similarity between two matrices is crucial in various application such as digital image processing, data analysis, machine learning, and more. This tutorial will help you understand the step-by-step process of finding the percentage of similarity between two matrices using MATLAB. What is Percentage of Similarity Between Two Matrices? The measure that shows how closely two matrices are related in some aspect is called "similarity between two matrices". ... Read More
A periodic sequence is one which repeats its pattern at regular intervals, whereas an aperiodic sequence is another type of sequence in which there is no regularity in the pattern. We can use MATLAB to generate periodic and aperiodic sequences. Before going to learn about generating periodic and aperiodic sequences using MATLAB, let us first get a brief overview of periodic and aperiodic sequences individually. What is a Periodic Sequence? A sequency of data points which has a regular pattern that repeats itself at a certain interval is called a periodic sequence. The interval over which the pattern of the ... Read More
FM stands for Frequency Modulation, a technique used in communication systems for long distance transmission of data and information. The frequency modulation involves the alteration in the frequency of the signal so that it can be transmitted over long distances without any distortion of the information. In this tutorial, I am going to explain how to generate narrowband and wideband FM signal using MATLAB. Before going to learn about generating narrowband and wideband FM signals, let us first get an overview of FM signal and its types. What is an FM Signal? An FM signal is a modulated signal which ... Read More
In a binary image, the interior and exterior skeletons are used to represent the essential structure of the objects and shaped within the image. In this article, I am going explain the process of finding the interior and exterior skeleton of binary image using MATLAB. Before discussing the process of finding the interior and exterior skeletons of a binary image. let us first get an overview of these two types of skeletons. What is the Interior Skeleton of Binary Image? In a binary image, the "interior skeleton" represents the centerline of the foreground objects. It is basically a thin representation ... Read More
We can use MATLAB to create a partially colored gray image, which we will discuss in this tutorial. But before that, let us first get an overview of what a partially colored gray image is used for. What is a Partially Colored Gray Image? A digital image in which some parts or objects are colored while the rest parts are in gray scale is called a partially colored gray image. In simple terms, a digital image which combines both color and gray scale objects in a single image area is called a partially colored gray image. Partially colored gray images ... Read More
In digital image processing, histogram equalization is a common method of improving the visual quality of a digital image. We can perform histogram equalization of a digital image using MATLAB. We have a built-in function "histeq" in MATLAB to perform this task. However, we can also perform histogram equalization without using the MATLAB’s "histeq" function. In this tutorial, I will show you the process of histogram equalization without using "histeq" function in MATLAB. But before that let’s get an overview of histogram and histogram equalization in digital image processing. What is a Histogram and Histogram Equalization? In digital image processing, ... Read More
In interpolation, filtering after upsampling is an important step to avoid the aliasing and reconstruction of a filtered signal. In MATLAB, there are various built-in functions that can be used to perform filtering after upsampling in interpolation. Before discussing the process of filtering after upsampling, let us first know about filtering and upsampling in interpolation. What are Upsampling and Filtering in Interpolation? In interpolation, upsampling and filtering are two crucial processes used to increase the number of samples in a signal. Upsampling is a process of adding zeros between the existing samples of the signal. It increases the sample ... Read More