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ISSN: 2666-6030

Development and performance evaluation of Correntropy Kalman Filter for improved accuracy of GPS position estimation

It is well known that a Global Positioning System (GPS) receiver needs to ‘see’ at least four satellites to provide a three-dimensional fix solution. However, if any GPS receiver is operated in urban...

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Multi-Objective Genetic Algorithm and CNN-Based Deep Learning Architectural Scheme for effective spam detection

E-mail has traditionally been regarded as the most powerful medium in online social networks, where users can discuss, connect, and share links with other online social media users. In particular, Twitter,...

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A Novel Effective Lightweight Homomorphic Cryptographic Algorithm for data security in cloud computing

Cloud computing is a technology in which the resources are delivered as services. Users can access them anywhere, anytime via the Internet without any need to know the infrastructure knowledge, experience,...

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Machine-type communications in NOMA-based terahertz wireless networks

Terahertz (THz) band is one of the most promising aspects of wireless communication systems because of its potential to meet the growing demands for the envisioned next-generation of cellular communications....

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A new secure 2PL real-time concurrency control algorithm (ES2PL)

A secure concurrency control algorithms must be devoid of covert channels originating from data conflicts between transactions, in addition to ensuring database integrity. Current secure concurrency...

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Significance of machine learning in healthcare: Features, pillars and applications

Machine Learning (ML) applications are making a considerable impact on healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the speed and accuracy of physicians'...

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Improved constrained social network rating-based neural network technique for recommending products in E-commerce environment

In the modern world, the essentiality in the utilization of the e-commerce contents like movies, music and electronic goods becomes indispensable with diversified items searched over the internet. The...

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Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs

Vehicular ad hoc Network (VANET) is one of the recently growing trends which motivate the provision of several service providers in the urban areas. In VANETs, the vehicles represent the nodes in the...

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Application of machine learning techniques for identifying productive zones in unconventional reservoir

Unconventional reservoirs are the productive zones in other words the rock quality and the mechanical properties of the rocks this process is devastating if humans or people try to search for the best...

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Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process

As the intrinsic features of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models. The cryptographic features of Chaotic...

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Improved Henon Chaotic Map-based Progressive Block-based visual cryptography strategy for securing sensitive data in a cloud EHR system

The core objective of secret sharing concentrates on developing a novel technique that prevents the destruction and leakage of original data during the distribution and encoding processes. Progressive...

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Design and implementation of a Social Distance Vest for Covid19 prevention (SODIV-COP)

According to research, it is discovered that amongst the Covid19 preventive measures, social distance is easily neglected especially in a public setting such as markets, trading centers, social and...

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Artificial intelligence (AI) applications for marketing: A literature-based study

Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information and data sources, improving software's data management capabilities, and designing intricate and advanced...

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Rough set based on least dissimilarity normalized index for handling uncertainty during E-learners learning pattern recognition

The determination of e-learners' learning style in an online environment has raised the potential scope of interest as its exact estimation prompts a sensational improvement in the contents of the learning...

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Hybrid TABU search with SDS based feature selection for lung cancer prediction

Cancer falls under a group of diseases where abnormal growths of the cells are observed. Generally, lung cancer does not result in any type of obvious symptoms in its early stages. Among the people...

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Enhancing smart farming through the applications of agriculture 4.0 technologies

Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and moves toward a smarter, more efficient, environmentally responsible agriculture sector. Agricultural technologies...

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An optimal construction of smart aged homes based on SDLC using smart sensors and agent networks

With the increased growth of the added population group and advancements in health informatics, the smart aged home needs to be equipped with intelligent systems and various electronic devices. Industry...

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Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms

When morphological capabilities are used for the class of high decision hyperspectral photographs from metropolitan areas, one must not forget two crucial problems. Among which the primary one is that...

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Weighted GDoP for improved position accuracy using NavIC and GPS hybrid constellation over Indian sub-continent

Positioning accuracy of any navigation system plays a vital role in precise positioning applications like CAT-1 aircraft landings, surveying, etc. GNSS positioning accuracy can be affected by many factors...

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Blockchain technology applications in healthcare: An overview

Blockchain is an emerging technology being applied for creating innovative solutions in various sectors, including healthcare. A Blockchain network is used in the healthcare system to preserve and exchange...

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Performance assessment of hybrid MTD for DoS mitigation in public cloud

The massive features of cloud computing makes it as an attractive target in today's business community. Public cloud draws immediate attention among individuals, organizations due to its pay-as-you-go...

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Improving the performance of aspect based sentiment analysis using fine-tuned Bert Base Uncased model

Nowadays, digital reviews and ratings of E-commerce platforms provide a better way for consumers to buy the products. E-commerce giants like Amazon, Flipkart, etc provide customers with a forum to share...

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Design of smart public transport assist system for metropolitan city Chennai

Transportation systems aid in the safe and reliable delivery of people to their everyday destinations, such as employers, schools, nutritious food sources, and health care facilities. For those who...

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Deep learning based network traffic matrix prediction

Network traffic matrix prediction is a methodology of predicting network traffic behavior ahead of time in order to improve network management and planning. Different neural network models ranging from...

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Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future

The vehicle business has accomplished extraordinary outcomes in creating dependable, sheltered and reasonable vehicles throughout the only remaining century. Autonomous Vehicles (AV) are turning into...

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