Overcoming barriers and ethical challenges in implementing intelligent tutoring systems in Ghanaian higher education by Moses Kumi Asamoah, Jessica Amarteifio

“…In addition, the study highlights several ethical concerns, including ensuring equitable access to ITS, addressing algorithmic biases, and preserving academic integrity. …”
Get full text

A review on agrowaste based activated carbons for pollutant removal in wastewater systems by Karinate Valentine Okiy, Joseph Nwabanne Tagbo, Walter Peter Echeng

“…The deployment of mathematical and machine learning approaches (ANN and novel GMDH algorithms) in optimization of batch and continuous adsorption processes are also highlighted. …”
Get full text

Emerging technologies in finance: challenges for a sustainable finance by Dhouha Nefla, Sana Jellouli

“…The analysis highlights the dual nature of emerging technologies: while they enhance financial efficiency, transparency, and inclusion, and offer significant opportunities to advance sustainable finance, they also introduce risks such as cybersecurity threats, algorithmic bias, regulatory challenges, and critical barriers to long-term sustainability. …”
Get full text

Chatbot Programmes’ ‘Arms Race’: Africa and Artificial Intelligence (AI) Ethics by Tapiwa Chagonda

“…The ‘arms race’ to create chatbots that can rival Open AI’s ChatGPT-4.0 technology by big technology companies such as Google and Meta, is not only hastening the pace of the AI revolution but is also bringing to the fore the double-edged nature of this technology. …”
Get full text

More than a chatbot: a practical framework to harness artificial intelligence across key components to boost digital therapeutics quality by Amit Baumel

“…AI can also transform the Narrator by generating personalized narratives that unify intervention activities into cohesive experiences. …”
Get full text

Automation of information distribution in adaptive electronic document management systems using machine learning by A. D. Obukhov

“…The work objective is to improve the accuracy of the information distribution in the EDMS through moving from analytical or algorithmic solutions to the use of new methods based on machine learning technologies. …”
Get full text

Accounting Development in the System of Transition to the New Standards of Financial Security of a Commercial Bank by A. V. Lukyanov

“…In the work there were used the methods of graphical data modeling of economic processes and their algorithms. This made it possible to integrate in the study not only literary analysis and the regulatory framework analysis, but also to expand the scope of the study to statistically significant indicators on the basis of the analysis of the fundamental accounting methodology and perspective accounting methodology in the system of transition to the new commercial bank financial security standards. …”
Get full text

Journalistic Ethics in the Age of Artificial Intelligence: Towards an Update of Deontological Codes in the Ibero-American Context by Ingrid Viviana Estrella Tutivén, Cristina Garde Cano

“…Additionally, it highlights the need for balanced regulation that does not allow media abuses through AI while also respecting press freedom. …”
Get full text

Biased perceptions of public opinion don't define echo chambers but reveal systematic differences in political awareness. by Crispin H V Cooper, Kevin Fahey, Regan Jones

“…Echo chambers both feed and are fed by the false consensus effect, whereby people overestimate the degree to which others share their views, with algorithmic filtering of social media also a contributing factor. …”
Get full text

A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information by Alberto Pozo, Miguel A. Patricio, Jesús García, José Manuel Molina

“…All this information is represented as a set of features by classification algorithms. This is a very high-dimensional problem, with which classification algorithms are unable cope. …”
Get full text

Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection by Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo

“…Due to its ability to effectively maintain the discriminability of extracted features, Trace Ratio Linear Discriminant Analysis (TR-LDA) has become the foundation for many feature selection algorithms. As is known, TR-LDA is a challenging problem to solve because of its trace-ratio form, and it also faces the scale invariance problem. …”
Get full text

A systematic review of machine learning and deep learning approaches in plant species detection by Deepti Barhate, Sunil Pathak, Bhupesh Kumar Singh, Amit Jain, Ashutosh Kumar Dubey

“…Classifiers and other machine learning and deep learning algorithms that can accurately categorize and extract data can be further developed. …”
Get full text

Generalized Shortest Path Problem: An Innovative Approach for Non-Additive Problems in Conditional Weighted Graphs by Adrien Durand, Timothé Watteau, Georges Ghazi, Ruxandra Mihaela Botez

“…Based on these foundations, the paper proposes a practical methodology for solving non-additive shortest path problems. It also provides a proof of optimality and establishes an upper bound on the algorithmic cost of the proposed methodology. …”
Get full text

Improving the accuracy and interpretability of neural networks for wind power forecasting by Wenlong Liao, Birgitte Bak-Jensen, Zhe Yang, Gonghao Zhang, Jiannong Fang, Fernando Porté-Agel

“…However, their forecast errors are severely limited by the local optimal weight issue in optimization algorithms, and their forecast behavior also lacks interpretability. …”
Get full text

Mast Cells and Basophils in Major Viral Diseases: What Are the Correlations with SARS-CoV-2, Influenza A Viruses, HIV, and Dengue? by Luca Gammeri, Serena Sanfilippo, Clara Alessandrello, Sebastiano Gangemi, Paola Lucia Minciullo

“…Understanding these mechanisms can be useful not only in therapeutic but also in diagnostic and prognostic perspectives. The prospects of applying artificial intelligence and machine learning algorithms for the creation of very accurate diagnostic/prognostic tools are interesting.…”
Get full text

An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Based on the training algorithm and after 146 periods, the training error decreased, but the validation error increased (Fig. 7). …”
Get full text

APPLICATION OF ARTIFICIAL NEURON NETWORK AND FUZZY INFERENCE IN THE HOUSEPLANT WATERING INTELLIGENT SYSTEM by Roman Korostenskyi, Igor Olenych

“…The automation of modern technologies and the widespread adoption of smart Internet of Things (IoT) devices not only provide an opportunity to optimize routine processes but also offer innovative solutions within intelligent smart home systems, enhancing the daily comfort of residents. …”
Get full text

Development of a Knowledge Graph-Based Model for Recommending MOOCs to Supplement University Educational Programs in Line With Employer Requirements by Valiya Ramazanova, Madina Sambetbayeva, Sandugash Serikbayeva, Zhanna Sadirmekova, Aigerim Yerimbetova

“…An important aspect of the study is the application of multilingual semantic similarity algorithms to analyze and match skills. These algorithms play a key role in determining the degree of correspondence between the skills listed in educational programs and courses, and those required for specific job vacancies. …”
Get full text

Enhancing Security and Authenticity in Immersive Environments by Rebecca Acheampong, Dorin-Mircea Popovici, Titus Balan, Alexandre Rekeraho, Manuel Soto Ramos

“…While the system currently employs RSA, which may be vulnerable to quantum computing in the future, its modular design ensures crypto-agility, allowing for the integration of quantum-resistant algorithms as needed. This work not only addresses immediate security challenges in immersive environments but also lays the groundwork for broader applications, including regulatory compliance for financial virtual assets.…”
Get full text

Target Detection and Characterization of Multi-Platform Remote Sensing Data by Koushikey Chhapariya, Emmett Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar

“…Environmental factors, such as atmospheric conditions, also play a significant role. Conventionally, target detection in remote sensing has relied on statistical methods that typically assume a linear process for image formation. …”
Get full text