Automatic Detection and Correction of Detuned Singing System for Use With Query-By-Humming Applications by Michał LECH

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DRBO—A Regional Scale Simulator Calibration Framework Based on Day-to-Day Dynamic Routing and Bayesian Optimization by Xuan Jiang, Yibo Zhao, Chonghe Jiang, Junzhe Cao, Alexander Skabardonis, Alex Kurzhanskiy, Raja Sengupta

“…Traffic simulation, a tool for recreating real-life traffic scenarios, acts as an important platform in transportation research. Considering the growing complexity of urban mobility, various large-scale regional simulators are designed and used for research and applications. …”
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Promoting a valid question model for measuring computational thinking skills based on confirmatory factor analysis and Rasch model by Didik Setyawarno, Maryati, Ismail Fikri Natadiwijaya

“…The fundamental dimensions of computational thinking, consisting of decomposition, pattern recognition, abstraction, and algorithms, can be firmly integrated into learning assessments.…”
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Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

“…Then, we review existing location-prediction methods, ranging from temporal-pattern-based prediction to spatiotemporal-pattern-based prediction. …”
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On the principles of building a model of a specialist – a graduate of a pedagogical university by K. S. Kаtаеv, S. G. Kаtаеv, I. V. Kаmenskaya

“…The reasonableness of the obtained results of the study, the availability of a variety of algorithms for data interpretation indicate the real possibility of using in practice the proposed structure of the model, including the way of organising data as a monitoring system.…”
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Potential Accuracy of Joint Parameter Estimate by Space-Based Radar Altimeter by D. S. Borovitsky, A. E. Zhesterev, V. P. Ipatov, R. M. Mamchur

“…The subject of research is a space-based radar altimeter. Modern satellite altimeters along with the instant distance to an earth surface are to measure the sea wave height and scattering cross section per unit of a probed spot. …”
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Precision neuropsychology in the area of AI by Astri J. Lundervold

“…The paper also addresses critical implementation challenges: ethical considerations including algorithmic bias and data privacy; balancing quantitative AI analytics with qualitative clinical expertise to avoid reductionism; and developing new competencies for neuropsychologists to effectively integrate AI in their research and clinical work. …”
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Video Pulses: User-Based Modeling of Interesting Video Segments by Markos Avlonitis, Konstantinos Chorianopoulos

“…We present a user-based method that detects regions of interest within a video in order to provide video skims and video summaries. Previous research in video retrieval has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the low-level features of a video. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. These models can rapidly identify potential high-efficiency corrosion inhibitor molecules, thereby significantly accelerating research. …”
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Marine Soundscape Monitoring Enabled by Artificial Intelligence-Aided Integrated Distributed Sensing and Communications by Juan M. Marin, Wahyu Hendra Gunawan, Alaaeddine Rjeb, Islam Ashry, Baoshi Sun, Talha Ariff, Chun Hong Kang, Tien Khee Ng, Shinkyu Park, Carlos M. Duarte, Boon S. Ooi

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Facilitating Robot Learning in Virtual Environments: A Deep Reinforcement Learning Framework by Algirdas Laukaitis, Andrej Šareiko, Dalius Mažeika

“…This study introduces an open-source framework and a novel pattern-based method designed to facilitate the exploration of robot learning capabilities through reinforcement learning algorithms in specialized virtual testing environments built on Webots. …”
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Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco-sensitive region of Brahmani-... by Bhaskar Mandal

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Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods by Dorothée Coppieters ’t Wallant, Pierre Maquet, Christophe Phillips

“…To analyze spindle activity in a more robust way, automatic sleep spindle detection methods are essential. Various algorithms were developed, depending on individual research interest, which hampers direct comparisons and meta-analyses. …”
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Assessing seventh-grade students' computational thinking skills through problem-based learning: Focus on integer addition and subtraction by Hapizah Hapizah, Anadia Muli Mariela, Budi Mulyono

“…This study aims to evaluate students' computational thinking skills based on the indicators of decomposition, pattern recognition, abstraction, and algorithmic thinking following the implementation of computational thinking-based learning using the Problem-based Learning (PBL) model, specifically on integer addition and subtraction. …”
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The Impact of Integrated Project-Based Learning and Flipped Classroom on Students’ Computational Thinking Skills: Embedded Mixed Methods by Muh Fitrah, Anastasia Sofroniou, Caly Setiawan, Widihastuti Widihastuti, Novi Yarmanetti, Melinda Puspita Sari Jaya, Jontas Gayuh Panuntun, Arfaton Arfaton, Septrisno Beteno, Ika Susianti

“…Although there was an improvement in algorithmic thinking skills, some students still faced difficulties in developing systematic solutions. …”
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Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review by Ethan E Abbott, Donald Apakama, Lynne D Richardson, Lili Chan, Girish N Nadkarni

“…ConclusionsAlthough in its infancy, the convergence of AI and data science techniques, especially ML and NLP, with SDOH in EM offers transformative possibilities for better usage and integration of social data into clinical care and research. With a significant focus on the ED and notable NLP model performance, there is an imperative to standardize SDOH data collection, refine algorithms for diverse patient groups, and champion interdisciplinary synergies. …”
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Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…The conversion of documents into XML markup requires efficient algorithms and automated solutions. The focus is on tagging documents to meet NISO STS standards, ensuring compatibility across systems. …”
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Optimization of sports injury treatment through artificial intelligence: Methods for effective prevention, diagnosis and rehabilitation by Kimi Milić Marko, Sinanović Šćepan, Jestrović Vladimir

“…Through a systematic review of existing studies and technological advancements, key strategies introduced by AI in this field have been identified. The research methodology includes big data analysis, image processing, machine learning, and customized algorithms for prediction and rehabilitation monitoring. …”
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A Crime Data Analysis of Prediction Based on Classification Approaches by Fatima Shaker Hussain, Abbas Fadhil Aljuboori

“…The purpose of this research is to develop predictive models that can aid in crime pattern analysis and thus support the Boston department's crime prevention efforts. …”
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AI generations: from AI 1.0 to AI 4.0 by Jiahao Wu, Hengxu You, Jing Du

“…Each AI generation is driven by shifting priorities among algorithms, computing power, and data. AI 1.0 accompanied breakthroughs in pattern recognition and information processing, fueling advances in computer vision, natural language processing, and recommendation systems. …”
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