Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

“…This review article examines advancements in automated facial recognition methods for diagnosing Down syndrome in children, focusing on the integration of machine learning (ML) and deep learning (DL) strategies. …”
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Optimization of Offshore Wind and Wave Energy Co-Generation System Based on Improved Seagull Optimization Algorithm by Xiaoshi Zhuang, Honglue Wan, Dongran Song, Xinyu Fan, Yuchen Wang, Qian Huang, Jian Yang

“…Secondly, the seagull optimization algorithm is enhanced by integrating three strategies: the nonlinear adjustment strategy for control factors, the Gaussian–Cauchy hybrid variational strategy, and the multiple swarm strategy, thereby improving the global search capability. …”
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Critical Analysis of Technologies Enhancing Supply Chain Collaboration in the Food Industry: A Nigerian Survey by Ebenezer Akinbamini, Alix Vargas, Angela Traill, Andrés Boza, Llanos Cuenca

“…Descriptive and inferential statistical techniques highlight significant variations in technology across different sectors, uncovering key factors influencing the integration of SCCTs. …”
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WDM-UNet: A Wavelet-Deformable Gated Fusion Network for Multi-Scale Retinal Vessel Segmentation by Xinlong Li, Hang Zhou

“…However, the task remains challenging due to significant vessel width variation and low vessel-to-background contrast. To address these limitations, we propose WDM-UNet, a novel spatial-wavelet dual-domain fusion architecture that integrates spatial and wavelet-domain representations to simultaneously enhance the local detail and global context. …”
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A novel hybrid model based on MPA-VMD, QRMGM and KDE for carbon price prediction by Dabin Zhang, Yufeng Ye, Yongmei Fang, Jing Zhou

“…Thirdly, the MGM was integrated with quantile regression (QR) to predict the conditional quantiles of each subsequence. …”
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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…Our approach is designed to operate with minimal assumptions about the network environment, making it highly adaptable to both stationary and dynamic conditions. By integrating variational inference with Thompson Sampling, the framework efficiently balances exploration and exploitation, allowing dynamic adjustment of MCS and PRB allocations in response to changing network states. …”
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VAE-Based Real-Time Anomaly Detection Approach for Enhanced V2X Communication Security by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Stefanos Gritzalis, Jong Hyuk Park

“…This paper proposes a real-time anomaly detection framework that integrates the reconstruction capabilities of Variational Autoencoders (VAEs) with the feature extraction power of Convolutional Neural Networks (CNNs). …”
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KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping by Lingxiao Li, Xin Wang, Dan Huang, Yunan He, Zhuqiang Zhong, Qingling Xia

“…This approach effectively integrates the spatial distribution characteristics of stripe noise with an innovative, data-driven diffusion network model, creating a hybrid knowledge and data-driven framework for stripe correction. …”
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Extended Minimal Atomicity through Nondifferentiability: A Mathematical-Physical Approach by Gabriel Gavriluţ, Alina Gavriluţ, Maricel Agop

“…In the one-dimensional stationary case of the fractal Schrödinger type geodesics, a special symmetry induced by the homographic group in Barbilian’s form “makes possible the synchronicity” of all entities of a given physical system. The integral and differential properties of this group under the restriction of defining a parallelism of directions in Levi-Civita’s sense impose correspondences with the “dynamics” of the hyperbolic plane so that harmonic mappings between the ordinary flat space and the hyperbolic one generate (by means of a variational principle) a priori probabilities in Jaynes’ sense. …”
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Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System by Patrick Laloyaux, Thorsten Kurth, Peter Dominik Dueben, David Hall

“…The different strengths and weaknesses of both deep learning and weak constraint 4D‐Var are discussed, highlighting the potential for each method to learn model biases effectively and adaptively.…”
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BlindFG: Learning Contextual Fishing Trajectories for Unreported Fishing Gear Classification by Changha Lee, Chan-Hyun Youn

“…FCGen employs a conditional variational architecture, incorporating fishing context embeddings derived from one-hot encoded fishing gear labels to guide the generation of AIS-Off trajectories. …”
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Enhancing wheat quality through color sorting: a novel approach for classifying kernels based on vitreousness by Jin-Kyung Cha, Hyeonjin Park, Youngho Kwon, So-Myeong Lee, Jeonghyun Kim, Woo-Jae Kim, Kwangho Park, Woosik Jang, Youngeun Lee, Byung Jun Jin, Kidong Han, Ki-Won Oh, Jong-Hee Lee

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Modeling and Predicting Uncertainty in Tidal Turbine Power Output: A Data-Driven Time-Series Approach by Niousha Talebpour, Mohammad Ilbeigi

“…The integration of sustainable energy sources into modern power grids is crucial for achieving a more resilient, equitable, and environmentally sustainable electricity infrastructure. …”
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Clinical information prompt-driven retinal fundus image for brain health evaluation by Nuo Tong, Ying Hui, Shui-Ping Gou, Ling-Xi Chen, Xiang-Hong Wang, Shuo-Hua Chen, Jing Li, Xiao-Shuai Li, Yun-Tao Wu, Shou-Ling Wu, Zhen-Chang Wang, Jing Sun, Han Lv

“…Results The proposed framework yielded average RMSE, PSNR, and SSIM values of 98.23, 35.78 dB, and 0.64, respectively, which significantly outperformed 5 other methods: multi-channel Variational Autoencoder (mcVAE), Pixel-to-Pixel (Pixel2pixel), transformer-based U-Net (TransUNet), multi-scale transformer network (MT-Net), and residual vision transformer (ResViT). …”
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A spatiotemporal analysis of emergency medical services use for palliative situations in Cape Town, South Africa by C Gage, B Spies, K Crombie, T Slingsby, L Gwyther, W Stassen

“…To correct this imbalance, palliative care integration with other disciplines has been recommended. …”
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Bending Resistance of Composite Sections with Nonductile Shear Connectors and Partial Shear Connection by Svetlana M. Kostic, Biljana Deretic-Stojanovic

“…Special attention is paid on two different constructional methods: propped and unpropped. The weaknesses of the simplified design method in determining bending moment resistance are identified and recommendations for practical design analysis are formulated.…”
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Linguistic challenges of writing papers in English for scholarly publication: Perceptions of Chinese academics in science and engineering. by Yihua Zhang, Hiroyuki Eto, Jianlei Cui

“…This study investigates the linguistic challenges encountered by Chinese academics in science and engineering when writing for English-language scholarly publications. Employing a mixed-methods approach, the research draws on survey responses from 732 participants and insights from semi-structured interviews with 13 interviewees. …”
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Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions by Muhammad Azam Hafeez, Alberto Procacci, Axel Coussement, Alessandro Parente

“…We validate the proposed methods using a synthetic dataset and a benchmark case of one-dimensional laminar NH3/H2 flames. …”
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Hardware assurance with silicon photonic physical unclonable functions by Mohammad Amin Mahdian, Ebadollah Taheri, Kaveh Rahbardar Mojaver, Mahdi Nikdast

“…Abstract In the modern landscape of optical communication networks, ensuring robust security is increasingly critical, particularly for applications requiring seamless integration and minimal attack surfaces. Photonic Physical Unclonable Functions (PUFs) leverage the response from the photonic devices that are prone to inherent physical variations to generate unique and unpredictable signature identifiers which are then utilized by an authentication system for identification or encryption purposes. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This study aims to bring innovative ideas to load forecasting by integrating complex features into the decomposition forecasting framework.…”
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