A Rational Cluster Strategy: Manoeuvring between Market and Government Failures by Evgeniy Kutsenko

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A Framework for Determining the Big Five Personality Traits Using Machine Learning Classification through Graphology by null Samsuryadi, Rudi Kurniawan, Julian Supardi, null Sukemi, Fatma Susilawati Mohamad

“…Although various models and approaches have been developed in research related to automated graphology, there are still obstacles to overcome such as the selection of preprocessing techniques and image processing algorithms to extract handwriting features and proper classification techniques to get maximum accuracy. …”
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Transfer Learning for Induction Motor Health Monitoring: A Brief Review by Prashant Kumar

“…These sophisticated deep learning algorithms have been widely used for induction motor health monitoring due to their autonomous feature extraction abilities and end-to-end learning capabilities. …”
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Progressive collapse analysis on multicore computers using nonlinear dynamic approach by Sergiy Fialko

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Towards Analysable Chaos-based Cryptosystems: Constructing Difference Distribution Tables for Chaotic Maps by Je Sen Teh, Abubakar Abba

“…Chaos-based cryptography has yet to achieve practical, real-world applications despite extensive research. A major challenge is the difficulty in analysing the security of these cryptosystems, which often appear ad hoc in design. …”
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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

“…By adopting these techniques, medical practices could see more accurate and less invasive procedures, enhancing patient outcomes. Future research should aim to refine these algorithms for wider clinical use and integration.…”
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Advancing Breast Cancer Diagnosis: A Comprehensive Machine Learning Approach for Predicting Malignant and Benign Cases with Precision and Insight in a Neutrosophic Environment usin... by Nihar Ranjan Panda, R. Rajalakshmi, Surapati Pramanik, Mana Donganont, Prasanta Kumar Raut

“…Four top machine learning algorithms are trained and evaluated with a series of performance measures such as accuracy, positive predictive value (PPV), negative predictive value (NPV), F1-score, etc. …”
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USE OF GEOINFORMATION TECHNOLOGIES IN AN GEOECOLOGICAL EVALUATION FOR SUSTAINABLE DEVELOPMENT OF NATURAL AND TECHNOGENIC COMPLEXES by N. O. Guseynova

“…The developed techniques and algorithms of creation of a database and thematic digital vector maps and use of geoinformation technologies in ecological researches can be recommended as basic at similar researches both in territories of the cities of the Republic of Dagestan, and after the corresponding adjustment and completion when studying natural landscapes…”
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A survey: Breast Cancer Classification by Using Machine Learning Techniques by Ruaa Hassan Mohammed Ameen, Nasseer Moyasser Basheer, Ahmed Khazal Younis

“…Using automated feature extraction and classification algorithms, physicians' experience in diagnosing and detecting breast cancer can be aided. …”
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Computational intelligence in the identification of Covid-19 patients  by using KNN-SVM Classifier by shaymaa adnan

“…This virus seeks to infect the lungs by generating white, patchy opacities inside them. This research presents an advanced methodology employing deep learning techniques for the analysis of medical pictures pertaining to respiratory disorders. …”
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Review of Automatic Estimation of Emotions in Speech by Douglas O’Shaughnessy

“…Many methods of emotion recognition have been found in research on pattern recognition in other areas, e.g., image and text recognition, especially in recent methods for machine learning. …”
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A FEW PRELIMINARY CONSIDERATIONS ON INFRINGEMENT OF COPYRIGHT BY ARTIFICIAL INTELLIGENCE by Paul-George BUTA

“…The current piece aims to set out the core concepts, to list the possible issues to be addressed by further research and to suggest some perspectives to so address this matter. …”
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The ethics of data interoperability: Mapping problems and strategies in biomedical data and beyond by Asher Brandon Caplan, Colin Koopman

“…Data interoperability is often regarded as necessary for carrying out tasks between different organizations and suborganizations as well as for ensuring secondary use of data for research purposes. However, interoperability poses a number of ethical problems whose contours can prove especially challenging in comparison to how ethical harms take hold at other moments of the data life cycle (such as algorithmic processing or results dissemination). …”
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Agile Public Relations in the AI Era: New Paradigms in Digital Media Communication by Samia AOUADJ

“…This study introduces a novel paradigm to the existing body of PR research and literature: Agile Public Relations. …”
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John Carpenters ›Halloween‹ – Beispiel einer softwaregestützten Spannungsanalyse by Julian Sittel

“…Based on the exemplary research project for the investigation of a horror film corpus, the system for the categorical classification and annotation of suspense content as well as the results of the algorithmic recognition of shot lengths, camera sizes, brightness and volume values and faces are presented. …”
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Evaluating automated evaluation systems for spoken English proficiency: An exploratory comparative study with human raters. by Tianhui Chen, Sanjun Sun

“…Results revealed that two systems demonstrated strong agreement with human ratings, while the third exhibited systematic score inflation, likely due to algorithmic discrepancies and limited consideration of nuanced language features. …”
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A Neutrosophic Logic Ruled Based Machine Learning Approaches for Chronic Kidney Disease Risk Prediction by Bhabani S. Mohanty, Krishna Priya R, Liya Alias, R. Vijaya Kumar Reddy, Prasanta Kumar Raut, Samson Isaac, Manibharathi.D, C. Saravanakumar, Nihar Ranjan Panda, Said Broumi

“…Chronic kidney disease (CKD) represents a significant global health challenge in society, and early detection of risk is essential for on-time treatment and intervention. This research suggests a novel machine-learning technique to create a reliable and accurate CKD risk prediction model by combining neutrosophic logic with various classification algorithms. …”
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Confidence Intervals for the Long-Term Noise Indicators Using the Kernel Density Estimator by Bartłomiej STĘPIEŃ

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Navigating the Moral Maze: Ethical Challenges and Opportunities of Generative Chatbots in Global Higher Education by Dwi Mariyono, Akmal Nur Alif Hidayatullah

“…However, it also raises ethical concerns about data security, academic integrity, algorithmic bias, and learner autonomy. This study employs a Hybrid Thematic SWOT (HT-SWOT) analysis to examine the strengths, weaknesses, opportunities, and threats of generative AI in global higher education. …”
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Torsion point attacks on ‘SIDH‐like’ cryptosystems by Péter Kutas, Christophe Petit

“…This paper surveys existing cryptanalysis approaches exploiting this often called ‘torsion point information’, summarises their current impact on SIKE and related algorithms, and suggests some research directions that might lead to further impact.…”
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