DSMLAI

Nature has, consistently, been an inspiration for scientists and engineers. In this paper, I present a novel paradigm to instrumentation where we co-develop the sensor and machine learning algorithms to bolster the sensor. This is what happens in most ...

Question answering systems have evolved into a whole new domain. Question answering systems are of emense importance in the present scenario as well as for many purposes such as humanlike conversation, machine translation, summarization, etc. For the ...

Twitter has grown in popularity during the past decades. It is now used by millions of users who share information about their daily life and their opinions on certain topics in the media. In order to automatically process and analyse this data, ...

The prime objective of this research is to develop an automatic tool 'Lung-Infection Visualizer' for marking the Region of Infection and cropping of the marked region in chest radiographs. The tool is also integrated with the feature extractor, feature ...

Abstract---Computer networks and their applications have changed the daily aspects of human life considerably be it business, entertainment, work or travelling aspects. However, this dependency on computer networks has also made the networks prone to ...

In this research paper study of water quality & water level monitoring using remote sensing & GIS technique and require the satellite data for the study is reviewed. For human being we required fresh water so it is important to monitor The different ...

The healthcare industry is one of the top priorities for every country, as the government wants to improve the process and provide better services to the public in the health sector. In COVID19, there is a need to immediate response and secured way of ...

The use of deep learning in detecting network attacks is widely adopted. However, supervised learning requires labeled training data to learn behaviour of honeypot in honeynet. This research studies the problem of learning patterns from honeypot ...

Multinational companies (MNC) take care of employees by taking feedback, in which each day's mood counts as a trivial factor. Traditional and common methods of collecting data are manual and take up employees productive time to complete. There is a ...

Mobile Ad hoc Network (MANET) is a group of self-directed, self-organizing and freely moving mobile nodes connected through wireless links, without the support of any central infrastructure. In MANET, every node has a freedom to cooperate in data packet ...

Increasingly we observe that newly graduated university students struggle to find employment, often ending up in fields completely different from those that they studied in, and employees reporting low levels of satisfaction in the careers that they ...

An Intrusion detection system (IDS) is a critical security organ which serves as a gatekeeper against the ever-evolving cyber space attacks. Among the recent technological advancement, high speed communication networks and Artificial Intelligence are ...

Generating medical reports manually is a difficult task, especially in rural areas and in urgent medical cases, where there is an emergency. It can also be error-prone for inexperienced physicians to generate a medical report. There are various deep ...

Object recognition and object detection are sub fields of computer vision, the task of giving computers the ability to perceive and respond to the world around them. This is a very useful technology and has many different applications in many different ...

Machine learning techniques are used for discovering the hidden patterns from the application-centric data analysis. Using these techniques various applications can be developed which can be used for supporting different business sectors. These patterns ...

Autonomous Surface Vehicles (ASV) is very active area of robotics. There are so many projects are going on and doing research on monitoring and surveying on environment. There are significant studies on AS V's reverie, sea and coastal environments. Many ...

There is a crucial need to have an intelligent and effective intrusion detection system to overcome network intrusion and cyber security attacks. Through this paper, the author compares various data pre-processing methods categorized as Feature selection,...

In the area of natural language processing, there is a wide variety of text data available, but not in the standard format and therefore it is necessary to standardize it. This paper concentrates on an anaphora resolution for Marathi text because the ...

Advancement in low power embedded systems in recent years help us in building portable real-time algorithms and applications. These embedded systems can be integrated into the Cameras used in Surveillance Systems to provide additional mid-level computer ...

As a global digitization advancement, there is a massive need of cloud-based solutions and data centers. Another reason behind excessive need of data centers is because of increasing number of internet users. Increasing demand of data centers ...

From the last few years research in Musical Information Retrieval (MIR) is increased. Enormous availability of audio content on the internet demands audio information retrieval in less time. Many have explored music genre, singer identification, audio ...

The Internet of Things (IoT) has become a new topic of research in various scientific and corporate fields, particularly in healthcare, in recent decades. The IoT revolution transforms new healthcare services by the inclusion of scientific, political ...

Image colorization has its importance in research, such as thief identification from sketch images, automatic colorization of old pictures, etc. Image colorization is considered a troublesome issue and regularly requires manual acclimation to accomplish ...

Segregation of seeds of different crops grown in the mixed cropping is a major cause of concern for the farmers as well as the food industry. Also, the classification and packaging of seeds based on their quality is a challenging task for farmers and ...

In the last decade, academic researchers have adapted traditional random-walk based keyphrase extraction techniques for short text. However, the language and the structure of Microblog Word Co-occurrence Network evolved from social media text are ...

The preliminary work performed in this manuscript is to recognize Handwritten English Characters using a multilayer perceptron. The standard EMNIST dataset of handwritten English characters is used here. The preprocessing of images included Binarization ...

Climate variables like Precipitation and Temperature are unpredictable and dynamic but their time series analysis can be fruitful in understanding the pattern of change over the years. The study is also useful for development of prediction tool for ...

Code smell targets to identify bugs that occur due to incorrect analysis of code during software development life cycle. It is the task of analyzing a code design problem. The primary causes of code smell are complexity in structural design, violation ...

Communication has always been an important part of human life. In the last few years, communication over the Internet has evolved a lot and processes like live video streaming are common in the present time. To ensure video streaming in a fast and ...

The method that can derive valuable information from rough data is data mining. Prediction analysis is a data mining technique that predicts future possibilities from current knowledge. A range of statistical techniques (including machine learning, ...