Findings from the Tushirikiane-4-MH (supporting each other for mental health) mobile health–supported virtual reality randomized controlled trial among urban refugee youth in Kampa... by Carmen H. Logie, Moses Okumu, Zerihun Admassu, Frannie MacKenzie, Lesley Gittings, Jean-Luc Kortenaar, Naimul Khan, Robert Hakiza, Daniel Kibuuka Musoke, Aidah Nakitende, Brenda Katisi, Peter Kyambadde, Richard Lester, Lawrence Mbuagbaw

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A Comprehensive Investigation into the Accuracy of Soft Computing Tools for Downscaling Precipitation Data Extracted from Climate Models by Shalaka Shah, Shreenivas Londhe

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C-parameter version of robust bounded one-class support vector classification by Junyou Ye, Zhixia Yang, Yongxing Hu, Zheng Zhang

“…The theoretical properties of the proposed method are successively derived, including the relationship between the solutions to the primal and dual problems, the connections between our C-BOCSVC and $$\nu$$ -OCSVC and the computational complexity. Experimental results over massive datasets demonstrate the feasibility and reliability of our C-BOCSVC, and highlight the superior performance of C-RBOCSVC compared to other state-of-the-art one-class classifiers when data is contaminated. …”
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Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis by Brahim Jabir, Bendaoud Nadif, Isabel De la Torre Diez, Helena Garay, Irene Delgado Noya

“…Our research dives into the performance comparison of two popular machine learning approaches: the support vector machine (SVM) and the more recent deep learning-based stacked autoencoder (SAE). …”
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Nonlinear Vibration Analysis of Turbocharger Rotor Supported on Rolling Bearing by Modified Incremental Harmonic Balance Method by Tangwei Li, Hulun Guo, Zhenyu Cheng, Rixiu Men, Jun Li, Yushu Chen

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How management support and diversity factors affect employee performance within the digital workplace by Lena Grzesiak, Wojciech Ulrych

“…The article highlights the challenges managers face in achieving EP in the DW compared to traditional work environments. Design/methodology/approach – We developed a theoretical model (MS→DW→EP) and tested it based on the computer-assisted web interview (CAWI) conducted in mid-2022. …”
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Genetic programming support vector machine model for a wireless intrusion detection system by A. Dhoot, A. N. Nazarov, I. M. Voronkov

“…Numerical analysis based on the results of model experiments on selected quality indicators showed an increase in the accuracy of the results as compared to the known SVM method.Conclusions. Computer experiments have confirmed the methodological correctness of choosing a combination of the GPSVM model using an unbalanced CICIDS2017 dataset to increase the effectiveness of intrusion detection. …”
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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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Local Binary and Multiclass SVMs Trained on a Quantum Annealer by Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

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Biomechanical Evaluation of Cantilevered 2-Unit Implant-Supported Prostheses: A 3D Finite Element Study by Hatem S. Sadek, Noha M. Anany, Al-Hassan Diab, Mohamed I. El-Anwar, Abdulaziz Alhotan, Mostafa Aldesoki, Christoph Bourauel, Tarek M. Elshazly

“…Implant CAD files were integrated using SolidWorks software, generating 4 models with varying implant positions: M1 (first premolar implant supporting a second premolar), M2 (second premolar implant supporting a first premolar), M3 (second premolar implant supporting a first molar), and M4 (first molar implant supporting a second premolar). …”
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A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization by Kabiru O. Akande, Taoreed O. Owolabi, Sunday O. Olatunji, AbdulAzeez Abdulraheem

“…Therefore, the importance of fusing two or more intelligent algorithms to achieve better performance cannot be overemphasized. In this work, a novel homogenous hybridization scheme is proposed for the improvement of the generalization and predictive ability of support vector machines regression (SVR). …”
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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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IL-18R supported CAR T cells targeting oncofetal tenascin C for the immunotherapy of pediatric sarcoma and brain tumors by Jessica Wagner, Stephen Gottschalk, Giedre Krenciute, Jinghui Zhang, Shannon Lange, Jason Chiang, Liqing Tian, Deanna Langfitt, Peter Vogel, Heather Sheppard, Timothy I Shaw, Jorge Ibanez, Selene C Koo, Elizabeth Wickman, Meifen Lu, Matthew Bell, S Scott Perry, Raghuvaran Shanmugam

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Restoring Authenticity: Literary, Linguistic, and Computational Study of the Manuscripts of Tchaikovsky’s <i>Children’s Album</i> by Evgeny Pyshkin, John Blake

“…These methods are supported by the technology provided by computational linguistics, such as large language models along with music analysis algorithms based on signature pattern elicitation. …”
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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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Conceptualizing Clinicians&#x2019; Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Th... by Hamid Shamszare, Zaira Chaudhry, Manijeh Berenji, Avishek Choudhury

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Designing Dialogic Peer Feedback in Collaborative Learning: The Role of Thinq Tank by Amber Van Hoe, Joel Wiebe, Jim Slotta, Tijs Rotsaert, Tammy Schellens

“…This design study tracks the development and implementation of the Thinq Tank tool, which is aimed at facilitating dialogic PF within computer-supported collaborative-inquiry learning (CSCiL) environments. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

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A Comparative Study of Machine Learning and Deep Learning Models for Automatic Parkinson’s Disease Detection from Electroencephalogram Signals by Sankhadip Bera, Zong Woo Geem, Young-Im Cho, Pawan Kumar Singh

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Structured Shared Spaces as a Basis for Building Business Process Support Systems: A Generic Model and Analysis of Examples by Ilia Bider, Paul Johannesson, Erik Perjons

“…Though the concept of shared spaces had been known in Groupware and Computer Supported Cooperative Work (CSCW) for quite a while, it did not become popular until the arrival of the Internet and social software. …”
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