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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'...

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...

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...

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,...

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...

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...

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...

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...

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...

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,...

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...

Enhanced intelligent transportation network systems for optimized emergency medical services management

This work discusses and emphasizes improvements in emergency medical services (EMS) by using intelligent transportation systems (ITS), geographic information systems (GIS), network analysis approaches,...

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...

A collaborative framework for rapid fault repair and service restoration in distribution networks

Distribution networks constitute the terminal stage of the electric power system, delivering electricity from transmission grids to end users. Owing to their wide geographic dispersion and the outdoor...

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...

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...

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)...

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