Samuel Folorunsho

• Master of Science
• University of Hertfordshire

Site Reliability Engineering (SRE) has emerged as a critical discipline in cloud environments, focused on maintaining high availability, low latency, and overall system reliability. This review explores the strategies and practices that SRE teams employ to achieve these objectives. Central to SRE in cloud environments is the integration of automati...

This review paper explores the critical aspects of optimizing User Interface (UI) and User Experience (UX) in financial applications, emphasizing the importance of design and technology in enhancing user engagement, trust, and accessibility. It examines trends such as minimalistic design, personalization, and integrating security features that buil...

Monitoring and managing cloud infrastructure presents unique challenges from a site reliability engineering (SRE) perspective, requiring a balance between operational efficiency and system stability. As cloud environments grow in complexity, traditional monitoring tools and practices often fall short, leading to issues such as inadequate visibility...

Deploying large language models (LLMs) across diverse computing architectures is a critical challenge in the field of artificial intelligence, particularly as these models become increasingly complex and resource-intensive. This review presents a performance evaluation framework designed to systematically assess the deployment of LLMs on various co...

End-to-end AI pipeline optimization is critical for improving the efficiency and performance of recommendation systems, which play a pivotal role in personalizing user experiences across various domains. This review explores benchmarking and performance enhancement techniques tailored to recommendation systems within AI pipelines. The objective is...

Achieving human-level autonomy in robots is a complex and multifaceted challenge that requires the development of advanced cognitive architectures. This paper proposes a comprehensive cognitive architecture designed to integrate perception, memory, and decision-making processes, thereby enhancing the adaptability and intelligence of autonomous robo...

Accurate localization in dynamic environments is a critical challenge for autonomous systems, particularly in GPS-denied settings and under sensor noise or failure conditions. This review paper explores state-of-the-art sensor fusion and localization techniques, including Kalman filters, particle filters, and machine learning-based approaches. The...

Autonomous systems are increasingly deployed in various domains, including transportation, robotics, and industrial automation. However, their ability to accurately perceive and understand their environment remains a significant challenge, particularly when relying on a single modality such as vision or sound. This review paper comprehensively exam...

Autonomous navigation in dynamic and unstructured environments presents significant challenges due to the unpredictability of obstacles, varying terrains, and the need for real-time decision-making. Traditional navigation methods often struggle to address these complexities, highlighting the need for more adaptive and robust approaches. This paper...

This review paper explores the integration of neuro-symbolic reasoning and deep learning within autonomous robotics, proposing a novel framework to enhance decision-making processes in dynamic environments. The paper begins by examining the challenges AI models face, particularly in context-aware decision-making, and highlights the limitations of e...

This review paper explores the implementation of end-to-end systems development in Agile environments within the financial sector, focusing on best practices, challenges, and future directions. Agile methodologies have become increasingly vital for financial institutions seeking to enhance flexibility, speed, and customer responsiveness. However, t...

This paper explores the transformative potential of cloud computing in the telecommunications industry, emphasizing its scalability and flexibility. The objective is to analyze how cloud computing solutions can revolutionize telecommunications by providing scalable, cost-effective, and flexible infrastructures that accommodate the industry's growin...

The advent of 5G technology marks a significant milestone in the evolution of telecommunications, offering unprecedented opportunities for transforming business operations and fostering industry innovation. This paper aims to explore the multifaceted impact of 5G technology on various business sectors, analyzing how its enhanced capabilities—such a...

This paper explores the application of artificial intelligence (AI) in enhancing technical support operations through predictive maintenance and problem resolution. The objective is to examine how AI-driven solutions can optimize support efficiency, reduce downtime, and improve overall customer satisfaction. The research methodology involves a comp...

This paper investigates the application of AI-driven solutions to enhance network performance and Quality of Service (QoS) in future telecommunications. As the demand for higher bandwidth and seamless connectivity grows, traditional network management approaches face significant challenges in meeting these requirements. The study aims to address th...

This review paper explores the dynamic landscape of Android mobile computing, focusing on best practices and emerging technologies driving innovation in the field. The paper begins by discussing the current state of Android development, highlighting key challenges and market trends. It then delves into essential best practices for designing intuiti...

Predictive analytics, driven by artificial intelligence (AI), is revolutionizing the understanding and forecasting of market trends, particularly in the realm of consumer behavior. This study explores the application of AIpowered predictive analytics to anticipate market dynamics and consumer preferences, offering insights that enable businesses to...

Software automation is revolutionizing industrial operations by significantly enhancing efficiency, productivity, and operational reliability. This review explores how automation technologies are transforming industrial sectors, focusing on their impact on improving various aspects of industrial operations. Automation software facilitates the strea...