A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms. by Andrew McDonald, Mark J F Gales, Anurag Agarwal

“…The algorithm's performance exceeded that of many end-to-end deep learning approaches that struggled to generalise to new test data. …”
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Multi-Modal Dataset of Human Activities of Daily Living with Ambient Audio, Vibration, and Environmental Data by Thomas Pfitzinger, Marcel Koch, Fabian Schlenke, Hendrik Wöhrle

“…The detection of human activities is an important step in automated systems to understand the context of given situations. …”
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Intelligent Obstacle Avoidance Algorithm for Mobile Robots in Uncertain Environment by Liwei Guan, Yu Lu, Zhijie He, Xi Chen

“…Therefore, it is an important step to complete the automatic learning of obstacle avoidance for mobile robots. …”
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Iris Recognition Development Techniques: A Comprehensive Review by Jasem Rahman Malgheet, Noridayu Bt Manshor, Lilly Suriani Affendey

“…This study can be considered as an initial step towards a large-scale study about iris recognition.…”
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APPLICATION OF CASE STUDY METHOD FOR INCREASING THE EFFICIENCY OF MANAGEMENT TRAINING by О. В. Жмай

“…The development of active learning methods is the main trend in the training of managers. …”
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Ethnomatematics: Treasure Search Activity in the Musi River by Malalina Malalina, Ratu Ilma Indra Putri, Zulkardi Zulkardi, Yusuf Hartono

“… Ethnomathematic is one of mathematics learning innovations which integrate cultures to preserve local cultural values. …”
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Community Research Earth Digital Intelligence Twin: a scalable framework for AI-driven Earth System Modeling by John S. Schreck, Yingkai Sha, William Chapman, Dhamma Kimpara, Judith Berner, Seth McGinnis, Arnold Kazadi, Negin Sobhani, Ben Kirk, Charlie Becker, Gabrielle Gantos, David John Gagne II

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An Approach Based on the Use of Commercial Codes and Engineering Judgement for the Battle of Water Demand Forecasting by Alfredo Iglesias-Rey, Carlos Alfonso López Hojas, F. Javier Martínez-Solano, Pedro L. Iglesias-Rey

“…This paper demonstrates the synergistic use of engineering judgment and statistical/deep learning models, implemented through a four-step process using the software SAS Viya 4. …”
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Designing Skill Cards for New Professions: Easy-to-read Facilitators and Validators by Annamaria KILYENI, Daniel DEJICA, Simona ȘIMON, Marcela FĂRCAȘIU

“…Although validation of E2R content is an important step in the process, neither validation nor those involved in it, i.e. validators and facilitators, get official recognition. …”
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A New MDL-based Clustering Algorithm by Zdravko Markov

“…The Minimum Description Length (MDL) principle is commonly used to evaluate machine learning models. In clustering, it may be used to assess the overall quality of data clustering or in the implementation of clustering algorithms for guiding the search for possible clusterings. …”
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What Do New Zealand Secondary Mainstream Teachers Know About Their English Language Learners? by Sue Edwards

“…The first step for mainstream teachers is to obtain information about their ELLs, and a number of resources have been provided for teachers to use. …”
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Crystal structure map for materials classification and modeling by Tamio Oguchi

“…For classifying and modeling properties of crystalline materials in terms of structure, a three-step workflow with (1) generation of structure feature vectors, (2) evaluation of distances among the feature vectors as a measure of similarity in structure, and (3) mapping of each structure in a low-dimensional space with principal components using dimension reduction is proposed. …”
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Ten simple rules to complete successfully a computational MSc thesis project. by Edoardo Saccenti, Cristina Furlan

“…The thesis project is an essential step to obtain an MSc degree. Within STEM and Life Sciences disciplines, computational theses have specific characteristics that differentiate them from wet laboratory ones. …”
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Optimizing diabetes prediction with MLP neural networks and feature selection algorithm by Majd Mohammad A. Al-Hawamdeh

“…The method suggested used a preprocessing step to choose a representative subset of attributes from the initial set. …”
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Intra-abdominal and abdominal wall haematoma from 5 mm port insertion site in laparoscopic cholecystectomy by Bijan Mohammadhosseini, Shahram Shirani

“…Inadvertent abdominal wall vascularinjury, leading to intra-abdominal bleeding or abdominal wall haematoma due to trocar insertion, may occur at thisfirst step. We report here a case of uneventful laparoscopic cholecystectomy in a 44-year-old woman, which was followedlater by large abdominal wall haematoma through the 5 mm trocar insertion site. …”
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Editorial by Johan Sandahl, Reinhold Hedtke, Igor Martinache, Mehmet Acikalin, Tilman Grammes, Andrea Szukala

“… As summer approaches, we can finally take a pause and momentarily step back from our duties at the universities. In this second issue of 2025, the Journal of Social Science Education is proud to present four original articles and a country report focusing on the historical development in the Czech Republic. …”
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Behavioral patterns relating to thermal comfort and energy consumption by Iounnou Anastasios

“…The aim of this paper is to go a step further in this direction. Repetitive behavioral actions in sensor rich environments, such as the dwellings of the Ecommon measurement campaign, can be observed and categorized into patterns through data mining techniques. …”
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Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data by Simone A. Ludwig

“…Feature selection is a crucial step in the data preprocessing stage of machine learning. …”
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Training for ethical linguistics: a model for building “responsible conduct of research” into department culture by Dobrin Lise M.

“…Having a clear answer is a necessary first step in planning an effective ethics education program. …”
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Evaluation of Modified Categorical Data Fuzzy Clustering Algorithm on the Wisconsin Breast Cancer Dataset by Amir Ahmad

“…The early diagnosis of breast cancer is an important step in a fight against the disease. Machine learning techniques have shown promise in improving our understanding of the disease. …”
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