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ISSN: 2666-6030

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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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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Hierarchical energy efficient secure routing protocol for optimal route selection in wireless body area networks

Growth in technology has witnessed the comfort of an individual in domestic and professional life. Although, such existence was not able to meet the medical emergencies during the pandemic COVID-19...

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Unsupervised machine learning technique for classifying production zones in unconventional reservoirs

Significant amounts of information are rapidly increasing in bulk as a consequence of the rapid development of unconventional tight reservoirs. The geomechanical and petrophysical characteristics of...

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ARTP: Anomaly based real time prevention of Distributed Denial of Service attacks on the web using machine learning approach

Distributed Denial of Service (DDoS) attack is one of the most destructive internet network attacks, denying legitimate users access to resources and networks by maliciously blocking available computing...

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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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HNTSumm: Hybrid text summarization of transliterated news articles

Data generated from social networking sites, blogs, digital magazines, and news websites is the largest human-generated data. Summarization is the process of extracting the crux of a document which...

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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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Enhance cloud security and effectiveness using improved RSA-based RBAC with XACML technique

In the current era, numerous products are accessible online from anywhere and every minute. This work used encryption with access management because authenticities, anonymity, and security over accessibility...

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A systematic review on early prediction of Mild cognitive impairment to alzheimers using machine learning algorithms

A person consults a doctor when he or she is suspicious of their cognitive abilities. Finding patients who can be converted into Alzheimer's in the future is a difficult task for doctors. A person's...

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Classification of network slicing threats based on slicing enablers: A survey

One of the Main expectation of the 5G environment is supporting various services in many areas such as healthcare, education, energy, streaming, V2X (vehicle to everything) communication, etc. To implement...

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Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison

The ever-increasing demand for energy and power consumption due to population growth, economic expansion, and evolving consumer choices has led to the need for renewable energy sources. Traditional...

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PARouting: Prediction-supported adaptive routing protocol for FANETs with deep reinforcement learning

Flying Ad-hoc Networks (FANETs) are becoming increasingly popular for various applications. Effective routing protocols for FANETs are essential yet challenging due to the high dynamic nature of Unmanned...

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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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