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ISSN: 2666-6030

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...

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...

Customer churning analysis using machine learning algorithms

Businesses must compete fiercely to win over new consumers from suppliers. Since it directly affects a company's revenue, client retention is a hot topic for analysis, and early detection of client...

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...

A Comprehensive Survey on Emerging AI Technologies for 6G Communications: Research Direction, Trends, Challenges, and Opportunities

Technology is now embedded in every aspect of human existence. The demand for technological advancement is increasing day by day for seamless connections. Integrating Artificial Intelligence (AI) into...

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'...

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...

A systematic review of decentralized finance protocols

Decentralized finance (DeFi) has revolutionized the financial industry in recent years. Industries such as banking, insurance, and investment are experiencing a significant shift due to the growth of...

Blockchain-based electronic voting systems: A case study in Morocco

This research examines the feasibility of implementing blockchain-based electronic voting systems in Morocco to enhance electoral transparency and integrity. The study employs a methodology that combines...

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...

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,...

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...

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...

SMS spam detection using BERT and multi-graph convolutional networks

The surge in smartphone usage has significantly increased Short Message Service (SMS) traffic and, consequently, SMS spam, posing risks such as phishing, financial losses, and privacy breaches. Traditional...

Designing a novel network anomaly detection framework using multi-serial stacked network with optimal feature selection procedures over DDOS attacks

- Distributed denial-of-service (DDoS) attacks are the major threat that disrupts the services in the computer system and networks using traffic and targeted sources. So, real-world attack detection...

Enhancing investigations in data migration and security using sequence cover cat and cover particle swarm optimization in the fog paradigm

In recent years, fog and mobile edge computing have grown rapidly due to the large amount of data generated by the Internet of Thing (IoT) devices. It provides a variety of services within the end user...

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...

A hybrid deep reinforcement learning and genetic algorithm approach for optimized resource allocation and reconfigurable intelligent surface deployment in 6G holographic communication

The advent of 6G holographic communication demands extremely high data rates and ultra-low latency, creating unprecedented challenges for resource allocation and Reconfigurable Intelligent Surface (RIS)...

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,...

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...

Machine learning in indoor localization prediction using Received Signal Strength Indicator and Wi-Fi network

Indoor usage of smartphones and electronic devices can be a source of information to detect the indoor location, which is known as localization that can be applied in large human health services and...

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...

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...

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....

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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