GCN-based weakly-supervised community detection with updated structure centres selection by Liping Deng, Bing Guo, Wen Zheng

“…Semi-supervised network learning requires a certain amount of known samples, while sample annotation is time-consuming and laborious. …”
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Un enfoque de machine learning para apoyar la identificación de la deuda técnica en arquitectura by Boris Rainiero Pérez-Gutiérrez, Darío Ernesto Correal, Fredy Humberto Vera-Rivera

“…Conclusions: The data used to train the model, while appropriate, is susceptible to further improvement. …”
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Reinforced Residual Encoder–Decoder Network for Image Denoising via Deeper Encoding and Balanced Skip Connections by Ismail Boucherit, Hamza Kheddar

“…Traditional image denoising algorithms often struggle with real-world complexities such as spatially correlated noise, varying illumination conditions, sensor-specific noise patterns, motion blur, and structural distortions. …”
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A Summary of the Existing Data on Cleft Surgical Outcomes: What Do We Not Know? by Priyanka Naidu, MBChB, MS, Alexander T. Plonkowski, MBBS, MRes, Caroline A. Yao, MD, MS, William P. Magee, III, MD, DDS

“…These protocols all aim to achieve optimal aesthetic appearance and speech outcomes while limiting significant complications such as velopharyngeal insufficiency and midface hypoplasia. …”
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Rolling Cargo Management Using a Deep Reinforcement Learning Approach by Rachid Oucheikh, Tuwe Löfström, Ernst Ahlberg, Lars Carlsson

“…In this paper, we apply state-of-the-art deep reinforcement learning algorithms to automate these operations in a complex and real environment. …”
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Routing Protocols for Vehicular Delay Tolerant Networks: A Survey by Hyunwoo Kang, Syed Hassan Ahmed, Dongkyun Kim, Yun-Su Chung

“…However, the choice of routing algorithms in VDTNs is still under study. The main objective of routing protocols in VDTNs is to maximize the probability of delivery at the destination while minimizing the end-to-end delay. …”
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Wearable sensing in eating episode monitoring: an updated systematic review protocol by Jiaying Zhou, Mingzhu Cai, Mayue Shi

“…Studies that focus solely on the development of algorithms or applications for these sensors will be excluded. …”
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Outside the social making of interoperability: Problematizing the absence of civil society in border security R&D programmes by Clemens Binder, Bruno Oliveira Martins, Lise Endregard Hemat

“…Big data-based governance requires both compatible modes of computing data and interoperable databases. While interoperability is often portrayed as a logical imperative, we understand it as socially co-produced within a political choice for algorithmic governance. …”
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The contingencies of platform power and risk management in the gig economy by Niels van Doorn

“…What do we miss about the daily operations of platform power, and about power dynamics in the gig economy more broadly, when focusing on algorithmic management as the primary source of subordination and precarity in the workplace? …”
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Key predictors of student proficiency in quantum computing by Shabnam Sodagari

“…Multiple regression analysis revealed that general understanding, exposure to topics, and qubit knowledge significantly contribute to proficiency, while topics such as quantum algorithms and teleportation were negatively associated, suggesting areas of greater instructional difficulty. …”
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Bounds on the initial macroporosity of sea ice pressure ridges by Sönke Maus

“…One important property of sea ice ridges is the macroporosity or void fraction. While macroporosity has been observed in field and laboratory studies, data are sparse and a concise theory of its evolution is lacking. …”
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Computed tomography—current status and future directions for arthritis imaging by Sevtap Tugce Ulas, Torsten Diekhoff

“…Technological innovations such as low-dose CT and state-of-the-art reconstruction algorithms reduce radiation exposure while maintaining image quality and short acquisition times. …”
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

“…This study utilizes a range of machine learning algorithms, including linear regression, decision tree, random forest, gradient boosting, K-nearest neighbour, Support Vector Regression, LightGBM and CatBoost, to analyse their effectiveness in predicting pavement performance. …”
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Two Power Allocation and Beamforming Strategies for Active IRS-aided Wireless Network via Machine Learning by Q. Cheng, J. Bai, X. Wang, B. Shi, W. Gao, F. Shu

“…The former has a better rate performance, while the latter has a lower computational complexity. …”
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Drone-assisted climate-smart agriculture (DACSA): A spatially-based outcome prediction model as an initial approach to track yield changes in shallot planting areas

“…The challenge of meeting the world's food demands while protecting the environment is an urgent concern. …”
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COVID-19 Pandemic Forecasting Using CNN-LSTM: A Hybrid Approach by Zuhaira M. Zain, Nazik M. Alturki

“…Along with recent advances in soft computing technology, researchers are now actively developing and enhancing different mathematical and machine-learning algorithms to forecast the future trend of this pandemic. …”
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Development and evaluation of a low-cost database solution for the Community Paramedicine at Clinic (CP@clinic) database. by Ricardo Angeles, Krzysztof Adamczyk, Francine Marzanek, Melissa Pirrie, Mikayla Plishka, Gina Agarwal

“…This low-cost, user-friendly and secure database captures initial and follow-up data, incorporates algorithms that guide the paramedics, and calculates risk factor scores for the participants. …”
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Trajectory Control Approach for Single-Stage Soft-Switching Grid-Tied Inverters by Seunghun Baek

“…By directly controlling the energy within the series resonant circuit, the model delivers a fast transient response while minimizing switching actions across all quadrants of operation. …”
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Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents by Yohanes Tarigan

“…The Virtual Nurse uses machine learning algorithms to analyze user behavior, speech patterns, and interactions to identify signs of suicide risk. …”
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An efficient post-processing adaptive filtering technique to rectifying the flickering effects. by Anudeep Gandam, Jagroop Singh Sidhu, Sahil Verma, N Z Jhanjhi, Anand Nayyar, Mohamed Abouhawwash, Yunyoung Nam

“…Compression at a very low bit rate(≤0.5bpp) causes degradation in video frames with standard decoding algorithms like H.261, H.262, H.264, and MPEG-1 and MPEG-4, which itself produces lots of artifacts. …”
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