A Computational Justice Model for Dynamic Resource Allocation in Ad Hoc Networks by Juan Pablo Ospina, Joaquín Fernando Sánchez

“…A central contribution of this work is the conceptual integration of these components into a unified framework that supports dynamic resource allocation in decentralized environments. …”
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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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Assessment of Ripening Degree of Avocado by Electrical Impedance Spectroscopy and Support Vector Machine by Monzurul Islam, Khan Wahid, Anh Dinh

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Using Generative AI to Support UX Design Students in Web Development Courses by Félix Buendía-García, Javier Piris-Ruano

“…This work explores the integration of Generative AI (GenAI) tools into web development educational settings, with a focus on enhancing the user experience (UX) design process and supporting students with limited technical backgrounds. …”
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Decision-making on an AI-supported youth mental health app: A multilogue among ethicists, social scientists, AI-researchers, biomedical engineers, young experiential experts, and p... by Dorothee Horstkötter, Mariël Kanne, Simona Karbouniaris, Noussair Lazrak, Maria Bulgheroni, Ella Sheltawy, Laura Giani, Margherita La Gamba, Esmeralda Ruiz Pujadas, Marina Camacho, Finty Royle, Irene Baggetto, Sinan Gülöksüz, Bart Rutten, Jim van Os

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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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Using mental contrasting to promote flow experiences at work: A just-in-time adaptive intervention by Karen Bartholomeyczik, Michael T. Knierim, Christof Weinhardt, Gabriele Oettingen

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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

“…We wanted to understand which approach works better under different real-world conditions that researchers and practitioners face. …”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…After feature selection, the dataset was divided into training and testing sets, and the BO-GBDT model was used to predict gas emission in the working face. Comparison with random forest, support vector machine, and neural network models showed that the BO-GBDT model achieved the highest accuracy and generalization, with an average relative error of 2.61%. …”
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Effective Approach to Use Artificial Intelligence for Detecting Different Faults in Working Electrical Machines by Seyed Hamid Rafiei, Mansoor Ojaghi, Mahdi Sabouri

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Efficient GPU Implementation of the McMurchie–Davidson Method for Shell-Based ERI Computations by Haruto Fujii, Yasuaki Ito, Nobuya Yokogawa, Kanta Suzuki, Satoki Tsuji, Koji Nakano, Victor Parque, Akihiko Kasagi

“…Our work has the potential to explore new parallelization schemes of distinct and complex computation paths involved in ERI computation.…”
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Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance by Hamideh Norouzi, Mohammad Reza Daliri

“…However, the relationship between microstate parameters and behavioral responses in cognitive functions, such as working memory (WM), has not been sufficiently investigated. …”
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SPIKA: an energy-efficient time-domain hybrid CMOS-RRAM compute-in-memory macro by Khaled Humood, Yihan Pan, Grahame Reynolds, Mohammed Mughal, Shiwei Wang, Alexander Serb, Themis Prodromakis

“…In this work, we introduce SPIKA, a novel RRAM-based ML accelerator implemented in 180nm CMOS technology. …”
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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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Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization by Raman Dugyala, Premkumar Chithaluru, M. Ramchander, Sunil Kumar, Arvind Yadav, N. Sudhakar Yadav, Diaa Salama Abd Elminaam, Deema Mohammed Alsekait

“…The proposed solution has been implemented on the Java platform with CloudSim support, and the findings demonstrate a significant improvement in both detection accuracy and processing efficiency compared to existing methods. …”
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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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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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Enterprise Architecture Management Education in Academia: An International Comparative Analysis by Martin Robl, Dominik Bork

“…This work gives a detailed comparative analysis of more than twenty international educational offers regarding Enterprise Architecture Management, carves out the commonalities and finds two prototypical courses as a best-practice combining the strongest matches for Business Informatics and Computer Science studies alike.…”
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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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