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ISSN: 2666-6030

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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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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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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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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Concepts of Digital Economy and Industry 4.0 in Intelligent and information systems

The digital economy is advancing at an exponential rate, mostly in developing nations. However, the major definitions and metrics of the digital economy are both divergent and limited. The major purpose...

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Design and analysis of aperture coupled micro strip patch antenna for radar applications

The aperture coupled- Micro strip Patch Antenna (AC-MPA) is designed for long range (≈400 ​km) air Surveillance radars. The design of patch antennas with aperture coupled power feed is crucial and designed...

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Internet of Things in the global healthcare sector: Significance, applications, and barriers

Internet of Things (IoT) is a modern paradigm with broad applications in various industries, including healthcare and its associated fields. The full implementation of this technology in the healthcare...

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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 learning and quantum computing for 5G/6G communication networks - A survey

Recently fifth generation (5G) and beyond applications are evolving, which demands more computational and complex data processing. Quantum computing and quantum learning algorithms are incorporated...

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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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The role of cloud computing technology: A savior to fight the lockdown in COVID 19 crisis, the benefits, characteristics and applications

The contagion of the Coronavirus (COVID-19) led to a global lockdown that put governments in emergency mode. With the total number of positive cases worldwide exceeding the 97.46 million mark, social...

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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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A survey on various applications of prescriptive analytics

Decision making needs more support to gain momentum with increasing trend in big data analytics. Conventionally, descriptive and predictive analytics supported the decision making, however, the outcomes...

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Framework of Data Analytics and Integrating Knowledge Management

Big data is significantly dependent on technologies such as cloud computing, machine learning and statistical models. However, its significance is becoming more dependent on human qualities e.g. judgment,...

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An inception V3 approach for malware classification using machine learning and transfer learning

Malware instances have been extremely used for illegitimate purposes, and new variants of malware are observed every day. Machine learning in network security is one of the prime areas of research today...

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Proposed artificial intelligence algorithm and deep learning techniques for development of higher education

Artificial intelligence (AI) has been increasingly impacting various aspects of our daily lives, including education. With the rise of digital technologies, higher education has also been experiencing...

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A new data security algorithm for the cloud computing based on genetics techniques and logical-mathematical functions

With the rapid development of distributed system technologies, one of the biggest challenges facing the digital world is ensuring the security of sensitive and confidential data during transport and...

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An efficient automatic brain tumor classification using optimized hybrid deep neural network

A significant topic of investigation in the area of medical imaging is brain tumor classification. Since precision is significant for classification, computer vision researchers have developed several...

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An empirical study of vehicle to infrastructure communications - An intense learning of smart infrastructure for safety and mobility

Vehicle-to-Infrastructure (V2I) communication is a communication framework for wireless sharing of data between vehicles. V2I connectivity is usually used in wireless technology as a bi-directional...

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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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Efficient breast cancer detection via cascade deep learning network

Breast calcifications or irregular tissue growth are major health concerns that can lead to breast cancer. To enable early management, which significantly lowers death rates, it is crucial to perform...

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A novel deep neural network heartbeats classifier for heart health monitoring

The electrocardiogram (ECG) is a very useful diagnostic tool to examine the functioning of the heart and to detect myocardial infarction (MI) and arrhythmias. It contains the records of the electrical...

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PE-DeepNet: A deep neural network model for pulmonary embolism detection

Machine learning in medical image processing has shown to be a useful way for discovering patterns in both poorly labelled and unlabeled datasets. Venous thromboembolism, which includes deep vein thrombosis...

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Significance of big data analytics and the internet of things (IoT) aspects in industrial development, governance and sustainability

There has been an emergence in big data analytics since it plays a crucial role within the IoT sector as data is augmenting at a great depth and scale, but considerable uncertainty still holds regarding...

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Exploring big data analytics in health care

Health care Industries are facing lot of challenges in maintaining patient information across various databases due to storage issues. In order to extract patient information, preprocessing techniques...

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