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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 […]
A High-Performance DNA Multiple Pattern Matching Algorithm Based on Index Binding and ASCII Hashing
Beyond health, the exponential trend in the volume of genomic data, combined with broad access to personal genome sequencing, has generated a pressing demand for fast and scalable algorithms to explore patterns in DNA sequences. Rapid and specific identification of DNA sub-sequences is of critical importance in various applications, such as personalized medicine, evolutionary biology, […]
Evaluating AI Performance in Academic Settings: A Comparative Study of ChatGPT-4 and Gemini
This study conducts a systematic comparison of ChatGPT-4 and Gemini in addressing academic queries across four disciplines: Python programming, financial accounting, business administration, and medical sciences. Through a mixed-methods analysis of 40 standardized questions (balanced between numerical and narrative formats), we evaluate the models’ accuracy, reasoning capabilities, and limitations. Results reveal ChatGPT-4’s superior performance with […]
Predicting employee retention using artificial intelligence and survival analysis approaches
Background: Employee retention is a critical concern for organizations seeking to maintain a stable and productive workforce. Understanding the factors driving turnover is essential for designing effective HR interventions. Methods: This study applies advanced survival analysis techniques, including the Kaplan–Meier estimator, Cox proportional hazards model, and Random Survival Forests (RSF), to predict employee retention and […]