Academic Articles & Research Papers

Optimal Trend Labeling in Financial Time Series

Predicting asset price trends is often posed as a classification problem, where trends are classified as positive or negative. Since asset price series are noisy and volatile, it is difficult to distinguish true trends from short-term fluct...

Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsuna...

A systematic review: Evaluating the implementation determinants and progress of artificial intelligence, big data, and cloud computing with East African healthcare systems.

Envisioning Human Geographies

On vision and envisioning Space and substance in geography Engaging ecologies Enclosure: a modern spatiality of nature Recovering the future: a post-disciplinary perspective on geography and political-economy Summoning life Postcolonial geo...

Analysis of Mangrove Density Levels Change Based on Cloud Computing on Abrasion Area in the Coast of Semarang City

The coastal areas of Semarang City have experienced land conversion due to development activities that threaten mangrove sustainability in recent years. The urgency of this research is the need to monitor mangrove density levels to be used ...

Modular multi-fidelity simulation framework for advanced sail-driven spacecraft control and dynamics in perturbation-rich regimes

This work presents a high-fidelity Software-in-the-Loop (SIL) simulation framework for the development and validation of control strategies for sail-driven spacecraft operating in Low Earth Orbit (LEO). The framework integrates NVIDIA Omniv...

High Performance IoT Cloud Computing Framework Using Pub/Sub Techniques

The Internet of Things is attracting attention as a solution to rural sustainability crises, such as slowing income, exports, and growth rates due to the aging of industries. To develop a high-performance IoT platform, we designed and imple...

MacroSwarm: A Field-based Compositional Framework for Swarm Programming

Swarm behaviour engineering is an area of research that seeks to investigate methods and techniques for coordinating computation and action within groups of simple agents to achieve complex global goals like pattern formation, collective mo...

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathol...

Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling

Brain-Computer Interfaces (BCI) arose as systems that merge computing systems with the human brain to facilitate recording, stimulation, and inhibition of neural activity. Over the years, the development of BCI technologies has shifted towa...

A Systematic Review of Deep Learning Approaches for Information Disorder Detection on Social Media: The Context of Misinformation, Disinformation, and Mal-information

Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...

Subsecond optically controlled domain switching in freestanding ferroelectric BaTiO3 membrane

Abstract The quest to develop energy-efficient and fast optoelectronic control of memory devices is essential. In this respect, ferroelectric materials are gaining tremendous importance in information and communication technology. Here, we ...

A SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCE

Citations have been an acceptable journal performance metric used by many indexing databases for inclusion and discontinuation of journals in their list. Therefore, editorial teams must maintain their journal performance by increasing artic...

Investigating Undergraduate Students’ Learning Styles and Preferences in English as a Second Language: The Case of a Public University in Ghana

This study examines selected undergraduate students’ learning styles and preferences at a public university in Ghana. These participants were Level 100 students pursuing the Bachelor of Information Technology programme. The study sought to ...

Advanced Statistics: Bootstrapping Confidence Intervals for Statistics with "Difficult" Distributions

The use of confidence intervals in reporting results of research has increased dramatically and is now required or highly recommended by editors of many scientific journals. Many resources describe methods for computing confidence intervals...

Statistics: An Introduction

Master Teacher and writer Roger E. Kirk brings two clear goals to the Fifth Edition of STATISTICS: AN INTRODUCTION: to provide a sound introduction to descriptive and inferential statistics and to help students read and understand statistic...

Statistics and Computing

Computing Science and Statistics

Cloud geographies

The architecture of cloud computing is becoming ever more closely intertwined with geopolitics – from the sharing of intelligence data, to border controls, immigration decisions, and drone strikes. Developing an analogy with the cloud chamb...

DEMOGRAPHIC STUDY ON SMARTPHONE PREFERENCE AMONG STUDENTS IN NIGERIAN UNIVERSITIES

This study investigated smartphone preference among undergraduate and postgraduate students in Nigerian universities. Specifically, the study examined the extent to which students’ demographic attributes such as gender, age, usage exper...