SYNTHESIS METHODS OF ALGEBRAIC NORMAL FORM OF MANY-VALUED LOGIC FUNCTIONS by A. V. Sokolov, O. N. Zhdanov, O. A. Ayvazian

“…In particular the algebraic normal form of Boolean functions, also known as Zhegalkin polynomial, that well describe many of the cryptographic properties of Boolean functions is widely used. …”
Get full text

Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department by Mohammad A. Shbool, Omar S. Arabeyyat, Ammar Al-Bazi, Abeer Al-Hyari, Arwa Salem, Thana’ Abu-Hmaid, Malak Ali

“…As the COVID-19 pandemic has affected the globe, health systems worldwide have also been significantly affected. This pandemic has impacted many sectors, including health in the Kingdom of Jordan. …”
Get full text

The power of human-like virtual-influencer-generated content: Impact on consumers’ willingness to follow and purchase intentions by Warinrampai Rungruangjit, Kulachet Mongkol, Intaka Piriyakul, Kitti Charoenpornpanichkul

“…The swift progress in machine learning algorithms, artificial intelligence, and interactive immersive media technologies has led to the introduction of computer-generated imagery on Instagram. …”
Get full text

The Impact of Ancient Greek Prompts on Artificial Intelligence Image Generation: A New Educational Paradigm by Anna Kalargirou, Dimitrios Kotsifakos, Christos Douligeris

“…More specifically, the research not only investigates AI’s potentialities in processing and representing Ancient Greek texts but also attempts to assess its interpretative boundaries. …”
Get full text

Perspectives on Managing AI Ethics in the Digital Age by Lorenzo Ricciardi Celsi, Albert Y. Zomaya

“…It discusses the concept of algor-ethics—a framework for embedding ethical considerations throughout the AI lifecycle—as an antidote to algocracy, where power is concentrated in those who control data and algorithms. The study also examines AI’s transformative potential in diverse sectors, including healthcare, Insurtech, environmental sustainability, and space exploration, underscoring the need for ethical alignment. …”
Get full text

A Hybrid Proactive Caching System in Vehicular Networks Based on Contextual Multi-Armed Bandit Learning by Qiao Wang, David Grace

“…Even in the completely Random traffic scenario, it also guarantees a minimum accuracy of nearly 60%.…”
Get full text

Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results by Andy Victor Pakpahan, Fahmi Reza Ferdiansyah, Robby Gustian, Muhammad Nur Faiz, Sukma Aji

“…Machine learning is commonly applied in this area, with algorithms such as Naïve Bayes, Support Vector Machine (SVM), and Random Forest being frequently used. …”
Get full text

Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin by Reza Seifi Majdar, Ali Rahnamaei, Vahid Babazadeh

“…In particular, boosting algorithms such as Extreme Gradient Boosting (XGBoost) and Categorical Boosting (CatBoost) are examined due to their strong performance in previous hydrological studies. …”
Get full text

Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates by David Alejandro Urquiza Villalonga, Alejandro Lopez Barrios, Maximo Morales-Cespedes, M. Julia Fernandez-Getino Garcia

“…In this context, interference alignment (IA) algorithms have been proposed to manage interference while increasing the achievable degrees of freedom. …”
Get full text

Simultaneous multi-class detection of interplanetary space weather events by Nguyen Gautier, Bernoux Guillerme, Ferlin Antoine

“…This, in turn, helps improve our understanding of their impact on the near-Earth space environment, including effects on human activities. It also enables the definition of event-driven space weather scenarii. …”
Get full text

Study on Discrete Null-Field Equation Methods for Bounded Simply Connected Domains: Better Locations of Source Nodes by Li-Ping Zhang, Zi-Cai Li, Hung-Tsai Huang, Ming-Gong Lee, Alexander L. Kazakov

“…The development of algorithms based on the NFE lags far behind that of the traditional boundary element method (BEM). …”
Get full text

Machine Learning in Ambient Assisted Living for Enhanced Elderly Healthcare: A Systematic Literature Review by Aabid A. Mir, Ahmad S. Khalid, Shahrulniza Musa, Mohammad Faizal Ahmad Fauzi, Normy Norfiza Abdul Razak, Tong Boon Tang

“…It examines how such technologies are implemented to improve lives while also highlighting critical areas requiring attention, particularly privacy and ethical considerations. …”
Get full text

Dynamics of Endomorphism of Finite Abelian Groups by Zhao Jinxing, Nan Jizhu

“…We obtain the automorphism group for these dynamical systems. We also give criteria and algorithms to determine whether it is a fixed point system.…”
Get full text

Laser-Induced Thermal Treatment of Superficial Human Tumors: An Advanced Heating Strategy and Non-Arrhenius Law for Living Tissues by Leonid A. Dombrovsky, Leonid A. Dombrovsky, Leonid A. Dombrovsky

“…The known finite-difference or finite element algorithms can be preferable in solving transient heat transfer problems. …”
Get full text

Comments on “Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain” by Michael Somekh

“…This comment shows that the formulation used in the above paper has been presented in virtually the same form in a previous paper. The comment also emphasizes that spatial domain reconstruction for structured light microscopy is a useful supplement to Fourier based algorithms.…”
Get full text

Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Abstract The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. …”
Get full text

A comprehensive review of deepfakes in medical imaging: Ethical concerns, detection techniques and future directions by Pradepan P, Gladston Raj S, Juby George K

“…We also discuss the ethical issues of deepfakes in healthcare, such as patient privacy, data security, informed consent, algorithmic bias, and the potential loss of trust in medical systems. …”
Get full text

New Directions for Thermoelectrics: A Roadmap from High‐Throughput Materials Discovery to Advanced Device Manufacturing by Kaidong Song, Ali Newaz Mohammad Tanvir, Md Omarsany Bappy, Yanliang Zhang

“…In the end, this article also discusses the future research prospects and directions.…”
Get full text

AI enhancing prefabricated aesthetics and low carbon coupled with 3D printing in chain hotel buildings from multidimensional neural networks by Gangwei Cai, Yin Lou, Feidong Lu

“…While reducing carbon emissions can lower energy consumption, these hotels must also continually attract guests to ensure revenue growth and achieve sustainable development. …”
Get full text

Basic parameters in speech processing. The need for evaluation by Harald HÖGE

“…As basic parameters in speech processing we regard pitch, duration, intensity, voice quality, signal to noise ratio, voice activity detection and strength of Lombard effect. Taking in account also adverse conditions the performance of many published algorithms to extract those parameters from the speech signal automatically is not known. …”
Get full text