Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization by Caleb Koresh, Volkan Ustun, Rajay Kumar, Tim Aris

“…This paper introduces an automatically generated waypoint-based movement system to abstract and simplify complex environments in Unity while allowing agents to learn strategic cooperation. …”
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A Systematic Review of Gen-AI Applications in Education: Rewards, Challenges and Future Prospects by Everleen Nekesa Wanyonyi, Millicent Kathambi Murithi

“…The widespread use of AI systems has sparked debates on how to effectively train future-relevant competencies while maintaining learning integrity. The ability of GenAI algorithms to generate specific feedback on tests, quizzes, and assessments as an instructional instrument to support student success has been a significant motivator. …”
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Recurrence Rates of Pilonidal Sinus Disease Are High in Children and Recurrences Occur Exceedingly Early by Christina Oetzmann von Sochaczewski, Dietrich Doll

“…Pilonidal sinus disease increasingly affects children and adolescents. While recurrence rates in adults are lower, with a minimum of 2% per year, and are essentially a function of the surgical approach over time, this is totally different in children. …”
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A scoping review and bibliometric analysis (ScoRBA) of machine learning in genetic data analysis: unveiling the transformative potential by Zakaria et al.

“…The important domains identified are Cancer Genomics, Bioinformatics, Precision Medicine, Disease Biomarkers, and Genetic Algorithms. These domains benefit from ML's data-driven insights, which have the potential to revolutionize healthcare and biomedical research. …”

Social media use to enhance children’s diets: the case of Lebanese mothers by Carla Tenkerian, Rita Sayah

“…It mainly examines the extent to which mothers who frequently engage with platforms such as TikTok and Instagram actively search for, select and use nutritious lunch box recipes while preparing their children’s meals, in comparison to those who use these platforms less frequently. …”
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Translation in the Age of Artificial Intelligence: Machine Translation Markers in Journalistic Texts by Kim Lidiya, Deryabin Artem

“…After that, the authors identified the technological parameters of the translation algorithms that determined the translation quality. …”
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Performance Analysis of Gray-Coded DP-16QAM MIMO-FSO Systems With Coherent Detection and DSP Techniques by Zinegnaw Libisework Gelaw, Pushparaghavan Annamalai, Hailu Dessalegn Ayalew

“…Additionally, a coherent receiver with DSP algorithms is used to improve channel capacity, receiver performance, and link range. …”
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Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. by Timo Flesch, David G Nagy, Andrew Saxe, Christopher Summerfield

“…We augment standard stochastic gradient descent with two algorithmic motifs, so-called "sluggish" task units and a Hebbian training step that strengthens connections between task units and hidden units that encode task-relevant information. …”
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Image Enhancement Techniques for Images at Blur Motion and Different Noises by Sahlah Ali

“…The images get degraded due to environmental conditions and atmospheric difference, it is therefore important to retrieve original images using different algorithms of image processing. There are widespread applications to restore images in our world today. …”
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Integrated Waste Management in the Circular Economy Era: Insights from Research and Practice by Charisios Achillas, Christos Vlachokostas

“…Technological advancements, such as AI-driven waste sorting and route optimization algorithms, are highlighted alongside policy frameworks supporting circular economy principles. …”
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ENHANCING STUDENTS’ LEARNING OUTCOMES IN CLASSICAL CRYPTOGRAPHY THROUGH INTERACTIVE 3D SIMULATIONS by Wenda Novayani, Iqbal Alhuda

“…The results showed that the average post-test score for the control group was 67.33 point, while the experimental group achieved an average score of 83.33 point. …”
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Multisensory Museums, Hybrid Realities, Narration, and Technological Innovation: A Discussion Around New Perspectives in Experience Design and Sense of Authenticity by Eva Pietroni

“…A short overview about how these algorithms evolve and work is presented, considering the challenges, threats, expectations, and ethical implications they pose. …”
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Cycle-based formulations in Distance Geometry by Liberti, Leo, Iommazzo, Gabriele, Lavor, Carlile, Maculan, Nelson

“…The problem is often modelled as a mathematical programming formulation involving decision variables that determine the position of the vertices in the given Euclidean space. Solution algorithms are generally constructed using local or global nonlinear optimization techniques. …”
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Hospital-wide natural language processing summarising the health data of 1 million patients. by Daniel M Bean, Zeljko Kraljevic, Anthony Shek, James Teo, Richard J B Dobson

“…Recently, Natural Language Processing (NLP) algorithms have reached a level of performance suitable for large scale and accurate information extraction from clinical text. …”
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Distance Relay Setting for One Zone of Transmission Line by Kamal Mohammed Mejdhab, Ali N. Hamoodi

“…Within the modeling phase, the specific fault type chosen was single line to ground (SLG), Line-to-Line, while the protection scheme was established as the impedance type distance characteristic. …”
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Fault Type Determination on Distribution Networks Lines within Functions of Microprocessor Current Protections by F. A. Romaniuk, A. A, Tishechkin, E. V. Buloichyk

“…The paper presents a comparative estimation of techniques for asymmetrical fault determination on distribution networks lines and contains an analysis of the results pertaining to the investigations on application of aforementioned techniques in the line microprocessor current protection algorithms. The investigations have been carried out while using a computing experiment method. …”
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AI-Supported Shared Decision-Making (AI-SDM): Conceptual Framework by Mohammed As'ad, Nawarh Faran, Hala Joharji

“…This integration is intended to transform raw algorithmic data into actionable insights that directly support the decision-making process without supplanting human judgment.…”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…This collection of attributes is employed to generate a feature vector that serves as the input for the Naive Bayes classification algorithms. The classifier is trained using a labeled dataset and then learns to distinguish between benign and malicious requests by assessing their computed probabilities. …”
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Revisiting universal extra-dimension model with gravity mediated decays by Kirtiman Ghosh, Katri Huitu, Rameswar Sahu

“…Abstract We explore the collider phenomenology of the fat-brane realization of the Minimal Universal Extra Dimension (mUED) model, where Standard Model (SM) fields propagate in a small extra dimension while gravity accesses additional large extra dimensions. …”
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Gesture Recognition Achieved by Utilizing LoRa Signals and Deep Learning by Peihao Zhang, Baofeng Zhao

“…This study proposes a novel gesture recognition system based on LoRa technology, integrating advanced signal preprocessing, adaptive segmentation algorithms, and an improved SS-ResNet50 deep learning model. …”
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