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The State of Anti-Phishing Platforms: A Survey
The insidious nature of phishing attacks remains a significant and costly challenge for digital systems. These attacks exploit both human vulnerabilities and technical errors, resulting in substantial financial losses, data breaches, and reputational damage for individuals and organizations across the globe. Recognizing this increasing threat has led to the emergence of a diverse market of […]
AI in Higher Education: Insights from Student Surveys and Predictive Analytics using PSO-Guided WOA and Linear Regression
S.K. Towfek 1 Nima Khodadadi 2 Laith Abualigah 3, 4, 5, 6, 7, 8 Faris H. Rizk 1 1 Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA 2 Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL, USA 3 Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan 4 Computer Science Department, Al al-Bayt […]
Optimizing Marketing Strategies: Integration of Al-Biruni Earth Radius Algorithm for Feature Selection and Pipeline Regression Model
With the current business environment becoming increasingly ferocious, the effectiveness of digital marketing strategies is no longer a matter of debate as many organizations have realized the need to gain an edge over competition and improve the ROI with their marketing efforts. This study looks into the specifics of digital marketing effectiveness by, in the […]
Apple Perfection: Assessing Apple Quality with Waterwheel Plant Algorithm for Feature Selection and Logistic Regression for Classification
This study concentrates on the evaluation of apple quality, which is a vital part of the agricultural industry. The quality of apples is examined through several factors, such as the cultivation techniques, the harvesting methods, and the post-harvest procedures. The dataset, titled “Apple Perfection,” contains important characteristics such as the size, weight, sweetness, crunchiness, juiciness, […]
Enhancing Stock Price Prediction Accuracy Using ARIMA and Advanced Greylag Goose Optimizer Algorithm
This paper applies ARIMA and the Greylag Goose Optimizer (GGO) algorithm, among others, for pre-trending the stock market prediction. This study aims to improve stock price forecasting using proper feature selection methods and time series modeling. The dataset encompasses historical pricing data that was scraped from Yahoo Finance in January 2019. There were many models […]
Understanding the Impact of Mental Health on Academic Performance in Students Using Random Forest and Stochastic Fractal Search with Guided Whale Optimization Algorithm
The primary objective of this research is to explore the interplay of the relationship between depression severity, coursework performance, and ADHD in computer science students to build sound insight into the psychosocial aspects that influence both the academic and personal lives of students. This study is carried out by computer science students’ survey (100), which […]
Algorithms: The Driving Power and Future of Artificial Intelligence
Algorithms are fundamental to artificial intelligence (AI), enabling data collection, analysis, and interpretation, thus facilitating machine learning and system programming. They drive innovation in various fields by simulating human thinking and decision-making. This paper explores the pivotal role of algorithms in enhancing AI capabilities, contributing to sustainable development, and improving system performance. Algorithms are crucial […]
Optimization of Feature Selection Using Greylag Goose Optimization Algorithm for Monkeypox
Monkeypox is an illness like smallpox that began to spread through several countries at a relatively rapid pace. The rash is among monkeypox’s most outstanding clinical features; however, a similar rash is evident in measles and chickenpox patients as well. AI and computer vision are well on their way to becoming must-have medical tools. For […]
NiOA: A Novel Metaheuristic Algorithm Modeled on the Stealth and Precision of Japanese Ninjas
This paper presents a new metaheuristic optimization algorithm called the Ninja Optimization Algorithm (NiOA) owing to its characteristics such as stealth, precision, and adaptability of the ninjas of Japan. NiOA is proposed to avoid high exploration and exploitation costs within such complex search spaces and to avoid the problem of getting trapped in local optima. […]
iHow Optimization Algorithm: A Human-Inspired Metaheuristic Approach for Complex Problem Solving and Feature Selection
In this paper, we propose the iHow Optimization Algorithm (iHowOA), a novel metaheuristic algorithm inspired by human-like cognitive processes such as learning, knowledge acquisition, and experience-based decision-making. The iHowOA aims to enhance the exploration-exploitation balance inherent to solving complex optimization problems by mimicking how humans gather data, learn, and improve over time. We tested the […]