Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology by Lin Qi, Chaoran Chen, Jun Dong

“…The results indicated significant improvements in energy, economic, spatial, and ecological dimensions, while also achieving quantifiable control over cultural expression. …”
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Data-driven decoding of quantum error correcting codes using graph neural networks by Moritz Lange, Pontus Havström, Basudha Srivastava, Isak Bengtsson, Valdemar Bergentall, Karl Hammar, Olivia Heuts, Evert van Nieuwenburg, Mats Granath

“…We show that the GNN-based decoder can outperform a matching decoder for circuit level noise on the surface code given only the simulated data, while the matching decoder is given full information of the underlying error model. …”
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Hybrid MPPT Strategy: Optimizing SEIG Performance in Wind Energy Installation by Fadi Ouafia, Abbou Ahmed, Gaizen Soufiane

“…The first strategy is a hybrid approach that integrates variable step size perturb and observe (VSS-P&O) with feed-forward artificial neural network (FF-ANN) control, while the second is the conventional FF-ANN-based MPPT method. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…However, implementing accurate and automated object detection algorithms mitigates these challenges, allowing errors or defects to be detected before processing. …”
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Generative AI as Third Agent: Large Language Models and the Transformation of the Clinician-Patient Relationship by Hugo de O Campos, Daniel Wolfe, Hongzhou Luan, Ida Sim

“…Drawing on our experiences as patient advocates, computer scientists, and physician informaticists working to improve data exchange and patient experience, we examine how LLMs might enhance patient engagement, support triage, and inform clinical decision-making. While affirming LLMs as a tool enabling the rise of the “AI patient,” we also explore concerns surrounding data privacy, algorithmic bias, moral injury, and the erosion of human connection. …”
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Axial-FNet: skin cancer image segmentation model based on fuzzy convolution combined with gated axial self-attention by JIANG Shu, CHEN Kun, DING Weiping, ZHOU Tianyi, ZHU Yue

“…The commonly used segmentation algorithms can't well balance the computational resource requirements of local information and global context information when performing diagnosis. …”
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Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model by Jintak Choi, Zuobin Xiong, Kyungtae Kang

“…When rolling pins are machining with CNC equipment, a sensor system is installed to collect acoustic data, analyze failure patterns, and apply RUL prediction algorithms. The AI-based predictive maintenance system developed ensures the reliability and operational efficiency of CNC equipment, while also laying the foundation for a smart factory monitoring platform, thus enhancing competitiveness in intelligent manufacturing environments.…”
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Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches. by Paolo Belardinelli, Erick Ortiz, Gareth Barnes, Uta Noppeney, Hubert Preissl

“…We also tested whether the use of additional bilateral priors specifying source covariance for ARD and GS algorithms improved performance. Our results show that MNM proves effective only with single source configurations. …”
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Self-Prioritizing Multi-Agent Reinforcement Learning for Conflict Resolution in Air Traffic Control with Limited Instructions by Jens Nilsson, Jonas Unger, Gabriel Eilertsen

“…We demonstrate how this can keep the number of actions to a minimum while successfully resolving conflicts with little overhead in the distance required for the aircraft to reach their exit points. …”
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The Analysis of the Possibility to Conduct Orbital Manoeuvres of Nanosatellites in the Context of the Maximisation of a Specific Operational Task by Magdalena Lewinska, Michal Kedzierski

“…The conclusions from the conducted analyses confirmed that an appropriate strategy of orbital manoeuvres may greatly improve the operational efficiency of the nanosatellite, while, at the same time, continuing to save fuel and energy. …”
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Enhanced safety and efficiency in traction elevators: a real-time monitoring system with anomaly detection by Safa Ozdemir, Osamah N. Neamah, Raif Bayir

“…Vibration data is captured through piezoelectric sensors, while velocity data from speed sensors is used to calculate acceleration. …”
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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

“…Understanding these decisions is essential for effective urban planning. While discrete choice models have been used to predict residential locations, their limitations in handling complex datasets have hindered their accuracy. …”
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Supervised and revocable decentralized identity privacy protection scheme by He Jing, Ma Xiaofeng, Zhang Dawei, Peng Feng

“…The former ensures the privacy of subject identity while achieving regulatability and revocability of identity data by the regulator. …”
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Cutting through the noise: A Three-Way Comparison of Median, Adaptive Median, and Non-Local Means Filter for MRI Images by Raniya Ashraf, Roz Nisha, Fahad Shamim, Sarmad Shams

“…In order to overcome the denoising issues, various filtering techniques and smoothening algorithms have come forth to get an accurate image for better diagnosis while preserving the original image quality. …”
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AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis by Esther Ugo Alum

“…Existing gaps include data quality, algorithmic transparency, and ethical concerns around privacy, among others. …”
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On adaptive identification of systems having multiple nonlinearities by N. N. Karabutov

“…Simulation results confirm the possibility of applying the proposed approach to solving the problems of adaptive identification while taking the estimation of the structural identifiability (S-synchronization) of the system nonlinear part into account. …”
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Forecasting the volatility of Financial Time Series by Tree Ensembles by O. S. Vidmant

“…More stringent liquidity and transparency standards in relation to the financial sector also encourage participants to experiment with protective mechanisms and to create predictive algorithms that can not only reduce the losses from the volatility of financial instruments but also benefit from short-term investment manipulations. …”
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Towards a rigorous assessment of systems biology models: the DREAM3 challenges. by Robert J Prill, Daniel Marbach, Julio Saez-Rodriguez, Peter K Sorger, Leonidas G Alexopoulos, Xiaowei Xue, Neil D Clarke, Gregoire Altan-Bonnet, Gustavo Stolovitzky

“…Overall, a handful of best-performer teams were identified, while a majority of teams made predictions that were equivalent to random. …”
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Surgical treatment of massive rotator cuff tears (literature review) by D. V. Menshova

“…Despite the large number of methods for the treatment of massive rotator cuff tears, there are no clear algorithms for managing patients and choosing one or another surgical tactics. …”
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Underwater Image Enhancement Methods Using Biovision and Type-II Fuzzy Set by Yuliang Chi, Chao Zhang

“…This research method addresses these problems while clarifying the limitations of existing methods and proposes a comprehensive approach to underwater image processing. …”
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