Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans by David Bark, Julia Basu, Dimitrios Toumpanakis, Johan Burwick Nyberg, Tomas Bjerner, Elham Rostami, David Fällmar

“…The software detects intracranial hemorrhage (ICH) from head computed tomography (CT) scans and artificial intelligence (AI)-identified positive cases are then annotated in the work list for early radiologist evaluation. …”
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Enhancing IT Service Desk for Hybrid Work: Insight from a TOE and TTF Case Study by Marcel Marcel, Garpepi Hanief Aotearoa

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Experimental and computational evaluation of knee implant wear and creep under in vivo and ISO boundary conditions by Michael J. Dreyer, Seyyed Hamed Hosseini Nasab, Philippe Favre, Fabian Amstad, Rowena Crockett, William R. Taylor, Bernhard Weisse

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Numerical simulation of strata movement based on the parallel computing system of strata movement (StrataKing) by WANG Xuebin, YU Baojian, LI Xiaoshuai, ZHANG Qinjie, ZHENG Yifang

“…At present, numerical simulation of strata movement in the coal industry in China mainly depends on foreign universal commercial software, possessing some defects, such as low computational efficiency, small computational scale and less apparent mining characteristics. …”
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Improving network security using keyboard dynamics: A comparative study by Ugwunna, C.O., Chukwuogo, O.E., Alabi, O.A., Kareem, M.K., Belonwu, T.S., Oloyede, S.O.

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Comparative Analysis of Classifiers for the Assessment of Respiratory Disorders Using Speech Parameters by Poonam Shrivastava, Neeta Tripathi, Bikesh Kumar Singh, Bhupesh Kumar Dewangan

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Learning and Generation of Drawing Sequences Using a Deep Network for a Drawing Support System by Homari Matsumoto, Atomu Nakamura, Shun Nishide

“…PredRNN also required more computation, with 6.41 M parameters and a 0.188 s inference time per sequence, compared to 5.20 M and 0.005 s for our model. …”
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A Decision Support System for Classifying Suppliers Based on Machine Learning Techniques: A Case Study in the Aeronautics Industry by Ana Claudia Andrade Ferreira, Alexandre Ferreira de Pinho, Matheus Brendon Francisco, Laercio Almeida de Siqueira, Guilherme Augusto Vilas Boas Vasconcelos

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Deep learning for human locomotion analysis in lower-limb exoskeletons: a comparative study by Omar Coser, Omar Coser, Christian Tamantini, Christian Tamantini, Matteo Tortora, Matteo Tortora, Leonardo Furia, Rosa Sicilia, Loredana Zollo, Paolo Soda, Paolo Soda

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Evolving health professions educators’ work engagement in teaching while combining roles in an academic medical center by J.M.E. van Bruggen, H.C. Chen, M.F. van der Schaaf, H.J.M. Pennings

“…We calculated descriptive statistics; computed engagement score means for overall work and individual task areas (teaching, research, and patient care); and compared means across groups with various task area combinations and across years. …”
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Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures by Weijie Zhang, Veronika Belcheva, Tatiana Ermakova

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Measuring Comparative Statistical Effectiveness of Cancer Subtype Categorization Using Gene Expression Data by Avila Clemenshia P., Deepa C.

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Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms by Walaa H. Elashmawi, Adel Djellal, Alaa Sheta, Salim Surani, Sultan Aljahdali

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Advancing Fractal Dimension Techniques to Enhance Motor Imagery Tasks Using EEG for Brain–Computer Interface Applications by Amr F. Mohamed, Vacius Jusas

“…The ongoing exploration of brain–computer interfaces (BCIs) provides deeper insights into the workings of the human brain. …”
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How fast does the WallGo? A package for computing wall velocities in first-order phase transitions by Andreas Ekstedt, Oliver Gould, Joonas Hirvonen, Benoit Laurent, Lauri Niemi, Philipp Schicho, Jorinde van de Vis

“…As the first public software to compute the wall velocity including out-of-equilibrium contributions, WallGo improves the precision of the computation compared to common assumptions in earlier computations. …”
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Assembly and Comparative Analysis of Complete Mitochondrial Genome Sequence of Endangered Medicinal Plant <i>Trichopus zeylanicus</i> by Biju Vadakkemukadiyil Chellappan, P. R. Shidhi, Anu Sasi, Rashid Ismael Hag Ibrahim, Hamad Abu Zahra

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Comparative analysis of machine learning classifiers and deep learning models for categorization of Knee Osteoarthritis by Deo Arpit, Korde Manish, Khatri Amit, Jain Aman, Kumawat Ashish, Rathore Vineeta

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Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification by Tanuja Subba, Tejbanta Chingtham

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Iterative Methods for Nonlinear Systems Applied to Grid Impedance Estimation: A Comparative Study by Jefferson R. P. de Assis, Andréia da S. Gomes, Hugo M. T. C. Gomes, Fabiano F. Costa, Wellington F. Felipe, Maurício B. de R. Corrêa, Darlan A. Fernandes

“… In this work, a comparative study is presented to evaluate the performance of iterative methods to solve nonlinear systems applied to grid impedance estimation. …”
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MACHINE LEARNING AND DEEP LEARNING: A COMPARATIVE ANALYSIS FOR APPLE LEAF DISEASE DETECTION by Anupam Bonkra, Sunil Pathak, Amandeep Kaur

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