Adaptive Fusion of LiDAR Features for 3D Object Detection in Autonomous Driving by Mingrui Wang, Dongjie Li, Josep R. Casas, Javier Ruiz-Hidalgo

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A Comparative Study of Loan Approval Prediction Using Machine Learning Methods by Vahid Sinap

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Time and cost of linking administrative datasets for outcomes assessment in a follow-up study of participants from two randomised trials by Mohammad Shahbaz, Jane E. Harding, Barry Milne, Anthony Walters, Lisa Underwood, Martin von Randow, Lena Jacob, Greg D. Gamble, for the ANCHOR Study Group

“…However, researchers often encounter technical and budgetary challenges. Data requests often require a significant amount of information from researchers, and can take several years to process. …”
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Integrating Remote Sensing and Street View Imagery with Deep Learning for Urban Slum Mapping: A Case Study from Bandung City by Krisna Ramita Sijabat, Muhammad Aufaristama, Mochamad Candra Wirawan Arief, Irwan Ary Dharmawan

“…However, the reliance on RS alone is likely to encounter challenges in complex urban environments. …”
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Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…The study occupies an important place in the advancement of knowledge in this area and contributes to the development of sustainable, user-centered library services capable of addressing significant contemporary challenges related to information accessibility and data security. [Method/Process] This study uses a systematic literature review and case analysis to examine the current state of generative AI applications in smart libraries. …”
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POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas by Yide Yu, Huijie Li, Dennis Wong, Anmin Hu, Jian Huo, Yan Ma, Yue Liu

“…Unlike traditional methods that rely on fully observable data, POMA-C frames the problem of anesthesia control under incomplete observability within a Partially Observable Markov Decision Process (POMDP), enabling the precise control of anesthesia despite missing data. …”
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Comparing post-acute rehabilitation use, length of stay, and outcomes experienced by Medicare fee-for-service and Medicare Advantage beneficiaries with hip fracture in the United S... by Amit Kumar, Momotazur Rahman, Amal N Trivedi, Linda Resnik, Pedro Gozalo, Vincent Mor

“…We linked the Master Beneficiary Summary File, Medicare Provider and Analysis Review data, Healthcare Effectiveness Data and Information Set data, the Minimum Data Set, and the American Community Survey. …”
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Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square by Retno Maharesi

“…The work to produce an inductive decision tree was carried out by first processing data using Microsoft excel and next processed using SPSS software, on the crosstabs descriptive menu. …”
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A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience by Umar Islam, Mohammed Naif Alatawi, Ali Alqazzaz, Sulaiman Alamro, Babar Shah, Fernando Moreira

“…Fog computing enables processing of time-critical data closer to the data source, reducing response time and relieving cloud system overload. …”
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Experimental Study on Single-Particle Combustion Characteristics of Large-Sized Wheat Straw in a Drop Tube Furnace by Haoteng Zhang, Lihui Yu, Cuina Qin, Shuo Jiang, Chunjiang Yu

“…Employing a two-mode experimental setup in a drop tube furnace (DTF) system simulating pulverized coal boiler conditions, we systematically investigated the combustion behavior and alkali metal release characteristics of this large-sized straw biomass, with combustion processes summarized for diverse particle types. The findings reveal asynchronous combustion progression across particle surfaces due to heterogeneous mass transfer and gas diffusion; unique behaviors distinct from denser woody biomass, including bending deformation, fiber branching, and fragmentation, occur; significant and morphology-specific deformations occur during devolatilization; fragmentation universally produces particles of varied shapes (needle-like, flaky, blocky, semi-tubular) during char combustion; and potassium release exceeds 35% after complete devolatilization and surpasses 50% at a burnout degree exceeding 80%. …”
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Exploring the disconnect: mechanisms underpinning the absence of physical function improvement with SGLT2 inhibitors by Cian Sutcliffe, Cian Sutcliffe, Jack A. Sargeant, Jack A. Sargeant, Thomas Yates, Thomas Yates, Melanie J. Davies, Melanie J. Davies, Luke A. Baker, Luke A. Baker

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Predicting Health Spending in Turkey Using the GPR, SVR, and DT Models by Didem Güleryüz

“…The steady increase in health spending puts pressure on government budgets, healthcare, and personal patient financing. Policymakers would like to plan reforms to reduce these costs to adapt to problems that may arise. …”
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Oocyte and dietary supplements: a mini review by Hao Chen, Shuoqi Wang, Meiying Song, Dongxia Yang, Hongmei Li

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Analysis of historical seismic parameters based on geological hazards from the Xiaonanhai earthquake by GONG Liwen, ZHANG Huai, CHEN Lijuan, WANG Zanjun, ZHANG Bingnuo, SUN Yixing, BAI Changyun

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Deep Learning Techniques in DICOM Files Classification: A Systematic Review by Mabirizi, Vicent, Kawuma, Simon, Natumanya, Deborah, Wasswa, William

“…Frameworks such as MONAI, NVIDIA Clare, SimpleITK, and OpenCV facilitate direct DICOM processing but face limitations, including overfitting, challenges with data heterogeneity, and inefficiencies in handling large datasets. …”
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Machine learning enabled assessment of the vacuum freeze-drying of the kiwifruit by Uzair Sajjad, Farzana Bibi, Imtiyaz Hussain, Naseem Abbas, Muhammad Sultan, Hafiz Muhammad Asfahan, Muhammad Aleem, Wei-Mon Yan

“…The framework is optimized using Gaussian Process (GP) for hyper-parameter tuning, focusing on minimizing errors like mean square error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). …”
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Droughts and windstorms due to climate change increase variability in species and trait composition of a subtropical monsoon evergreen broadleaf forest in China by Wenjing Chen, Lei Liu, Daijun Liu, Josep Penuelas, Guoyi Zhou, Zhen Yu, Anchi Wu, Zhurong Wu, Langqin Hua

“…Over 26 years, deterministic processes mainly drove community composition changes, especially for trait composition, although stochastic processes also played a role. …”
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Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments by Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle

“…This study evaluates the applicability and robustness of adjoint-based Variational Data Assimilation (VDA) for spatially distributed calibration on discharge of a gridded parsimonious GR4-like model The model operates at hourly time steps and kilometric resolution across the 235 French catchments. …”
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Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs by Maximilian Legnar, Joern-Helge Heinrich Siemoneit, Gilles Vandewiele, Jürgen Hesser, Zoran Popovic, Stefan Porubsky, Cleo-Aron Weis

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Structural biology meets typography: using protein structures to inspire creative expression and connect diverse audiences by Leonora Martínez-Núñez

“…Advances in structural bioinformatics and visualization have expanded access to molecular data, most notably through the Protein Data Bank (PDB). …”
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