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Publications (31)
Recent times have seen a rise in the amount of focus placed on the configurations of big data and the Internet of Things (IoT). The primary focus of the researchers was the development of big data analytics solutions based on machine learning. Machine learning is becoming more prevalent in this sector because of its ability to unearth hidden traits...
In this innovative study, multi-task transfer study and Natural Language Processing or NLP join forces to fight the ever-growing challenge of identifying fake news. By simultaneously training a model on an array of related tasks sentiment analysis, language modeling, and fake news detection, it unlocks the potential to deeply comprehend natural lan...
The use of active learning in supervised machine learning is proposed in this study to reduce the expenses associated with labeling data. Active learning is a technique that includes iteratively selecting the most informative unlabeled data points and asking a human expert to label them. Active learning can achieve high accuracy while utilizing few...
The use of active learning in supervised machine learning is proposed in this study to reduce the expenses associated with labeling data. Active learning is a technique that includes iteratively selecting the most informative unlabeled data points and asking a human expert to label them. Active learning can achieve high accuracy while utilizing few...
An enormous amount of heterogeneous Textual Medical Knowledge (TMK), which is crucial to healthcare information systems, has been produced by the explosion of healthcare information. Existing efforts to incorporate and use textual medical knowledge primarily concentrate on setting up simple links and pay less attention to creating computers compreh...
The introduction of cutting-edge technologies like Internet of Things (IoT) detectors and drones, and farm surveillance, is transforming the farming sector in the Big Data era. Huge quantities of priceless agridata are generated by IoT systems, and cutting-edge application technologies enable the true collection and analysis of this information. Th...
Skin cancer, specifically MM skin cancer, is a deadly sort of skin disease in today's society. When skin cancer is identified early, it can be treated. Due to the fast spread of skin cancer, an automated computerised detection system for skin cancer in its early stages is required. Because the visual characteristics of many skin cancer photos are i...
Researchers desperately ought to build an efficient turbine problem detection & simulation environment given the quick increase in wind energy capacity and the steadily rising operational cost duration of wind generators. The two aspects of fault identification & fault prediction are employed to describe the primary problem features of wind generat...
The Internet of Things is considered to be an emerging trend since it facilitates more effective communication among smart devices. The IoT technology acts as a double‐edged sword that has multiple advantages, along with the advantages, the cyber threats in the network have increased proportionally which initiates the necessity for the manufacturer...
Airborne diseases cause detriment in the human life. Many were found in history such as TB, SARS, MERS and recently COVID 19. These diseases hit the dead rate and crushes health and wealth of the world population. Mostly, airborne diseases will spread rapidly in crowdy places. Especially, in case of COVID-19, Wearing mask and monitoring body temper...
Land surface data is one of the entry points for a enormous resource management and human activity such as to monitor farming, ecology, urban management, and territories. This research aimed to improve the performance of the multispectral image processing technique using a novel deep learning based classification approaches used in classifying the...
More over 58 percentage of the population works in agriculture, which accounts for more than 20 percent of India's total GDP. This research concentrates on plant diseases because they pose a serious danger to small-scale farmers' livelihoods and food production. In conventional farming, skilled employees are used to visually inspect each row in ord...
Conventional power transmission and distribution schemes have been completely transformed by the development of the Smart Grid (SG).Nearly every field has been impacted by technology and advancements, including smart grids. Electricity also isn't inexpensive to produce, so Smart Meters (SM) play a crucial role in controlling, managing, and performi...
The Internet of Things (IoT) provides customers with seamless integration and interoperability between gadgets, technologies, or products, and across multiple networks focus on control schemas. Regardless of the integration node, whether it is a smartphone, tablet, laptop, TV, automobile, or other Internet-compatible gadget, end-users want a fast a...
The use of machine learning algorithms in last decade has been enormously increased. It has opened the door to several opportunities in various fields of research and business. However, identifying the appropriate algorithm for a particular program has always been an enigma, and that necessitates to be solved ere the development of any machine lear...
Machine Learning models and algorithms have become quite common these days. Deep Learning and Machine Learning algorithms are utilized in various projects, and now, it has opened the door to several opportunities in various fields of research and business. However, identifying the appropriate algorithm for a particular program has always been an en...
Artificial intelligence is the intelligence displayed by machines in contrast with the natural intelligence (NI) displayed by humans and other animals. In computer science, AI research is defined as the study of intelligent agents and any device that perceives its environment and takes actions that maximize its chances of success at some goal. Coll...
Now a day’s usage of android applications has become a part of our life. By using these applications our work becomes simple and easier in our day to day activities. This paper suggests an android application which is generally useful for the students and parents. It contains various features like notifying the student about the renewal date of lib...
In the year 1985, Miller Victor and his partner Koblitz Neal brought forth the concept of Elliptic curvesin Cryptography. The evolution of the concept of Elliptic Curve Cryptography (ECC) has led to the development of Public Key Cryptography Systems. Distinct set of keys are used for encoding and decoding data in this system. The size of the larger...
Most of the probability of packet marking (PPM) have existed many problems such as the lost of marking information, the difficulties to reconstruct attack path, low accuracy and so on. In this work, we present a new approach, called dynamic probabilistic packet marking (DPPM), to further improve the effectiveness of PPM. Instead of using a fixed ma...