Early detection and prevention is the only way to treat lung cancer to avoid the loss of life. Where Computed Tomography (CT) screening is viewed as perhaps the best technique for discovering the early indications of lung malignant growth. The primary goal of this study is nodule detection and classification...

Mycobacterium Tuberculosis is one of the most hazardous disease. Universally millions of people are suffering from this dangerous disease. Number of detection techniques are available, but due to its complex structure this infectious disease not get diagnose easily and within time. To prevent spreading...

Blood is an important component of the human, which consists of many important components including White Blood Cells (WBC). Leukaemia is one of the dangerous kinds of cancer that affect the blood and bone marrow, affecting children and adults. Acute lymphoblastic Leukaemia (ALL) is dangerous and deadly...

In the present time, worldwide the number of patients related to lung cancer disease getting increase exponentially, accordingly the application of Computer Aided Diagnosis (CAD) system building association with medical science to deliver pertinent solution using Image Processing and Machine Learning...

Brain tumor disease in children is deadly due to unrecognition at early stage. Hence, a accurate, and less affluent method to detect pediatric brain tumor is necessary. In this paper the theme of model is characterized with stages like Preprocessing and then segmentation of the MRI image by fuzzy level...

Brain Computer Interface (BCI) systems works with brain signals. The brain activities are taken into consideration and are used to control external devices These signals are processed to extract features which are then translated to discrete command set to operate some external device like a wheel chair...

Detection and Marking of Intervertebral discs (IVD) of the spinal cord is relevant as it notably enables experts to diagnose spinal cord injury. Many of the experts from medical field do this task manually, therefore there may be risk of wrong labeling of in-vertebral disks and this job is tedious. There...

Skin diseases are a serious health issue that affects a large number of individuals. In recent years, with the fast advancement of technology and the use of various data mining approaches, dermatological predictive classification has become increasingly predictive and accurate. It is more helpful to...

Apples are considered one of the healthiest fruits worldwide. With the increase in demand for apple, internal quality checking is a most challenging task. In Digital Image Processing different computer vision technologies are used to identify external defects like color, shape, and texture. MRI of apple...

Scientists call diabetic maculopathy a pathological disorder. It’s one of the most serious consequences of diabetes [1]. When diabetic patient having so much sugar level in the body that time its impact on some part of body one part is retina. The retina has macula when near macula having some red dots...

The cheque field extraction is a critical step in automating bank cheque processing and is the first step in implementing a cheque recognition system. Many approaches for extracting the bank cheques components have been suggested. However, the complexity of the backdrop, the design variety of bank cheques,...

In the previous decade, biometrics referred to the automatic recognition of persons based on their physiological or behavioural traits but unimodal biometrics have their limitations. Due to its potential to overcome some of the inherent limitations of single biometric modalities while simultaneously...

Image Inpainting expertise in reconstructing mislaid image parts. It is the technique for filling an unknown area or scratched area of an Image developed on the nearby information present in the image that is not recognizable by ordinary viewer. In proposed method two Inpainting algorithms, the traditional...

Visual information security is one of the important security aspects. Secret sharing based schemes of visual cryptography permits secret image encryption and provides a more secure method which allows access to more sensitive visual information. In modern k out of n secret sharing scheme secret image...

India is a multi-lingual multi-script country, where a printed document which contains information in the form of texts, images, etc.; the texts part may have composed with characters and numerals of one or more scripts. So, it is necessary Identify the scripts of numerals/characters from multilingual...

Human race is blessed with the five basic senses such as touch, taste, smell, hearing and the most important of them all ‘vision or eyesight’. It is very difficult to survive without any one of them. Unfortunately a mass population across the globe suffers from the ill effects of vision, hampering their...

Document Images, such as typed and handwritten documents can be manipulated in various ways using many sophisticated digital technologies and photo editing software’s. As a result, one can alter the text in the typed and handwritten documents that leads to degradation of quality of an image. The detection...

Advancement in GPS technologies and availability of a variety of devices to capture location and other attributes of the objects has led to an enormous development in geo-textual data. Searching through these objects for relevant objects as per the requirement needs efficient indexing technique and searching...

Artificial Intelligence (AI) technologies have been used in digital forensic science to resolve disputed documents where one or more human experts would normally be contacted. The purpose of intelligent systems based on printer identification is determined printer created a specific document. Most solutions...

Those with disabilities should not be characterised primarily by their impairment in modern society; rather, it is the environment that may disable persons with disabilities. As automatic Sign Language Recognition (SLR) develops, digital technology will give more enabling settings. Many existing SLR...

Images of the outdoor scene appear hazy due to degradation occurred by atmospheric particles (water droplets, dust, etc.) while capturing the image. Hazing creates lots of problem in the areas of surveillance, tracking and navigation and other applications. Dehazing such images is desired in digital...

Speech is a common form of communication as it expresses the feelings, thoughts, and intentions between human beings either verbally or non-verbally. Our research focuses on verbal communication as India is a language diverse country with more than 19500 spoken languages, considered as mother tongue....

This study presents a method for detecting, classifying, and recognizing Devanagari characters based vehicle’s License Plate (LP) in Nepalese context. The IWPOD-NET model is used in the detection phase to extract the LP from a vehicle region. After post-processing for contrast adjustment, the extracted...

Many researchers have used Convolutional Neural Networks (CNN) models to solve the gender classification problem using pre-trained architectures. In this paper, the author has focused on investigating the success of the custom CNN model with respect to pre-trained deep neural models like VGG16, ResNet152V2,...

Person authentication based on biometrics has been a major aspect accountable for providing security to cyberspace. The traditional biometric-based systems are based on the usage of single modality, which are potentially devoid of the capability to provide high security. A Deep Maxout Network (DMN) is...

This paper provides technical aspects and the context of Recognizing and Detecting Arabic characters using Tesseract OCR Engine. OCR engine is freely available and gives a better result and also is supporting many languages such as Arabic etc. The procedure begins by transforming the Arabic documents...

CAPTCHA (Completely Automated Public Turing Tests to Tell Computers and Humans Apart). Only humans can pass this test, but existing computer systems cannot. It’s used in a variety of machine and human identification applications. The most common type of CAPTCHA used on websites is text-based. This protected...

This paper presents an innovative lossy color image compression based on contrast sensitivity of human visual perception, in which the image contrast sensitivity value (CSV) of each block is determined from Symmetric Gaussian function (SG). Then the outcome of SG is grouped using K-Medoid (KM) cluster...

Algae plays a vital role in aquatic ecosystem and serves as indicator for various issues related to water quality. In addition to these algae have various application in day to day life such as nutrition, fish feed, agriculture fertilizer, medicine, space research etc. More than 5000 species are discovered...

Speech is the powerful engine of communication among human beings and language is meant for communicating with the world. This has motivated new researchers to study automatic speech recognition and expand a computer system so it can integrate and understand human speech. But the problem with speech...

Real-time object detection is one of the most important applications for surveillance and a prominent computer vision task. This paper proposes a new deep learning-based model for fire, pistol, and gun detection in areas monitored by cameras like home fires, industrial explosions, and wildfires, as they...

Since its widespread application, deep learning is a vital part of the machine learning community's toolbox. With so many crimes and wrongdoings going on without adequate oversight in public spaces, various ways have been developed to identify crime and violence in the camera footage. Automated...

Carbon Monoxide is an established pollutant with high indexed hazard potential for human being and environment and its omnipresence in indoor and outdoor air, has garnered specific research interest for real time detection of the same at trace level of existence. Extensive spectrum of research for development...

Gesture-based communication is a correspondence of nonverbal sort that involves the utilization of additional body parts. Demeanours of the face alongside Hand, eye, and lip movement is used for passing on data in correspondence with sign language. Individuals with hearing impairment or discourse are...

A challenge in computer vision known mosquito classification hasn't gained much traction. Automatic mosquito species credentials using real-time images is a crucial feature. Mosquitoes are a serious matter of concern since they can spread diseases including dengue fever, zika, and malaria. It's...

The earth’s land surface is always changing its morphology and characteristics due to its inside and outside movements/activities like earthquakes, volcanic eruptions, tsunamis, cyclones, avalanches, asteroid hits, floods, land sliding, and so on. All these earth’s movements/activities are the natural...

This Research is going to explore innovative ways for Site Evaluation and Potential Assessment to utilize sunlight hitting rooftop extent for green energy potential and agriculture practices. It may intend to green energy, green roofs and water harvesting as per extent area. In this scenario, it is essential...

Road network extraction and road line extraction from remote sensing images is still challenging task due to the complex structure of urban areas. The spectral response, design, shape, size, shadow, a contrast of roads, and other urban features are similar, which causes inaccurate results. The present...

The term variable importance refers to the role of an attribute in making accurate predictions. A particular model, when relies majorly on multiple variables, increases variable importance of those variables in positive direction. Variable importance is applied to various classification and regression...

With the continuous development of remote sensing technology, the spatial resolution of the image is getting higher and higher and the characteristic information contained in the image is more abundant. High spatial resolution data provides detailed information about the ground for various applications....

Plant diseases are one of the significant reasons that lead to the destruction of crops and plants. These diseases are caused by bacteria, virus, algae, fungi, etc. Among these diseases, fungi causes the major diseases in plants and crops. This article aims to collect the novel dataset of fungi infected...

Agriculture Sector being most vital parts of every Nation. The production of a crop mostly relies on numerous features and result is relied on the end yield and on the selling rate of that crop. In today’s world there is a growth of countless technologies which can predict the growth of a crop on a regular...

Rainfall forecasts at various time and space scales have been one of the essential ingredients for not only industries, businesses, and politicians but also farmers to minimize losses. For agriculture, forecasts of other atmospheric parameters are also relevant. Atmospheric techniques must be known,...

This paper presents a model for automatic pests identification of rice crops using the CNN approach called the Pest-Net model. This model aims to classify six different major pests affecting rice crops. To establish the novelty and credibility of our work, we have also used the transfer learning approach...

This research aimed to evaluate traditional machine learning to achieve high-resolution LULC classification with multispectral satellites and object-based classifiers. Multispectral satellites have high importance in getting and downloading images of observation land. This article describes the comparative...

Face recognition biometrics is now widely employed, thanks to the rapid development of computer vision technology. However, since the facial recognition system cannot tell whether a face image is real or not, it is open to impersonation attempts. A face recognition system should be able to recognize...

Legal protection through Intellectual Property Rights has become increasingly vital in the present age of ideas, knowledge, and competition. The paper traces importance of IPR, different forms of IPR and argues why Patent is the most appropriate option when it comes to protection of computer programs...

Biometric modalities are used to identify the gender of an individual based upon their physiometrics or behaviometric data. Gender plays a crucial role in most applications like banking, security, document authorization, forensics, psychology, human-computer interventions, and many more. Gender classification...

An example of natural language processing is opinion mining. A system is created to gather and process opinions about a product expressed in blog posts, comments, reviews, or tweets in order to assess public sentiment. Data preprocessing is used in this study to clean tweets and remove any punctuation,...

This paper aims to build an automatic music generation model for generating musical sequences in ABC notation using a multi-layer Long Short-Term Memory (LSTM) neural network. The model is trained on polyphony such as piano folk and old Scottish flute, merged with various ABC notation tunes by five composers,...

Nowadays, a large number of telecom industries are dependent on retaining their existing customer base, as retaining customers is found to be more profitable than acquiring new customers. Due to immensely growing competition in this industry, customers get various choices of services and privileges and...

In present scenario, people look health issues as non-trivial. The primary agenda of life is to have better nutrient food. The calories and nutrition intake as proved harmful worldwide, as it has led to many disease’s however dieticians have mistaken that the standard intake of number of calories is...

In this study, we find a solution to the problem of recognizing the source language and translating it into the selected target language. This interface is designed to convert the voice or speech into any selected source text, convert it into the targeted text, and save it into wave files. This interface,...