UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework by Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao

“…For specific algorithms, our implementation achieves a state of the art acceleration effect compared to previous work. For the end-to-end acceleration performance, we gain <inline-formula> <tex-math notation="LaTeX">$12\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$7.7\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$2.2\times $ </tex-math></inline-formula> improvement on GPU, ASIC and FPGA respectively, compared to CPU in large-scale vertical linear regression training tasks.…”
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Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials by Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, Suraparb Keawsawasvong, Mohanad Muayad Sabri Sabri, Irfan Jamil, Arnold C. Alguno

“…The XGBoost model was compared against support vector machine (SVM), adaptive boosting (AdaBoost), random forest (RF), and K-nearest neighbor (KNN) models described in the literature. …”
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An automated approach to identify sarcasm in low-resource language. by Shumaila Khan, Iqbal Qasim, Wahab Khan, Aurangzeb Khan, Javed Ali Khan, Ayman Qahmash, Yazeed Yasin Ghadi

“…Automatic sarcasm detection in text involves using computational methods to determine if a given statement is intended to be sarcastic. …”
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A Novel Efficient Certificateless Signature Scheme for the Prevention of Content Poisoning Attack in Named Data Networking-Based Internet of Things by Saddam Hussain, Syed Sajid Ullah, Abdu Gumaei, Mabrook Al-Rakhami, Ijaz Ahmad, Syed Muhammad Arif

“…&#x201D; Besides, the formal proof we also compared the designed scheme with some existing solutions to show the cost-efficiency in terms of communication overhead and computation cost. …”
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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…The proposed framework addresses this challenge by performing inference in selected regions only, significantly reducing the computational burden compared to standard sliding window methods. …”
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Snowdrift‐Permitting Simulations of Seasonal Snowpack Processes Over Large Mountain Extents by Christopher B. Marsh, Zhibang Lv, Vincent Vionnet, Phillip Harder, Raymond J. Spiteri, John W. Pomeroy

“…However, these spatial scales can be computationally intractable for large extents. In this work, the multiscale Canadian Hydrological Model (CHM) was applied to simulate snowpacks at snowdrift‐permitting scales (≈50 m) across the Canadian Cordillera and adjacent regions (1.37 million km2) forced by downscaled atmospheric data. …”
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Incorporation of XAI and Deep Learning in Biomedical Imaging: A Review by Sushil K. Singh, Bal Virdee, Saurabh Aggarwal, Abhilash Maroju

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Origins of the anomalous Hall conductivity in the symmetry enforced Fe3GeTe2 nodal-line ferromagnet by Mikel García-Díez, Haim Beidenkopf, Iñigo Robredo, M G Vergniory

“…Finally, our calculations suggest that electron doping could increase the AHC up to four times compared to its value at the computed Fermi level.…”
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An interpretable and adaptable data-driven model for performance prediction in thermal plants by G. Prokhorskii, M. Preißinger, S. Rudra, E. Eder

“…By balancing predictive accuracy, interpretability, and transferability across plants, this work provides a practical framework for robust, data-driven monitoring and decision support in complex industrial power systems.…”
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Experimental validation of parked loads for a floating vertical axis wind turbine: wind–wave basin tests by Md. S. Hossain, D. T. Griffith

“…The datasets from this experimental work can serve as benchmarks for validating other computational parked load estimating tools, while the semi-numerical tool provides a way to gain insight into the unmeasurable quantities.…”
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Trench MOS Schottky Diodes: A Physics-Based Analytical Model Approach to Charge Sharing by Mohammed Tanvir Quddus, Alvaro D. Latorre-Rey, Zeinab Ramezani, Mihir Mudholkar

“…This work contributes to a valuable tool for TMBS device design, offering insights into electric field management that support high-efficiency, high-voltage applications, including power supplies, automotive electronics, and renewable energy systems.…”
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Using feature importance as an exploratory data analysis tool on Earth system models by D. Ries, K. Goode, K. McClernon, B. Hillman

“…Our analyses focus on data from ensembles of Earth system models (ESMs) which provide data on different climate states and conditions. We elect to work with ESM ensembles since they allow us to compare feature importance across alternative scenarios not available with observed data. …”
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Automatic segmentation of chest X-ray images via deep-improved various U-Net techniques by Sedat Orenc, Mehmet Sirac Ozerdem, Emrullah Acar, Musa Yilmaz

“…These models also incurred significantly higher computational costs. In contrast, U-Net16 and U-Net32 demonstrated reduced segmentation accuracy compared to U-Net9. …”
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81 Fixing or mixing? Improving small sample size longitudinal microbiome models by Raunak Vijayakar, Jun Chen, Marina Walther-Antonio

“…We expect that the fixed-effects models will continue to be as reliable as mixed-effects models, while being less computationally complex. After establishing our theoretical basis, our novel model should perform comparably to mixed-effects models on pseudo-simulated endometrial cancer data and better at small sample sizes. …”
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The series solutions of fractional foam drainage and fractional modified regularized long wave problems by Abdul Hamid Ganie, N. S. Alharthi, Adnan Khan, Abdulkafi Mohammed Saeed, Mohd Asif Shah, Saurav Mallik

“…Abstract In general, integer order differential equations fall short of adequately describing a range of phenomena in many disciplines of science and engineering when compared to fractional order differential equations. …”
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Feasibility of an at‐home, web‐based, interactive exercise program for older adults by Nicole C. Feng, Eliza Ryan, Mhretab Kidane, Erich S. Tusch, Brittany M. McFeeley, Roger Carlsson, Abdul H. Mohammed, Krister Håkansson, Kirk R. Daffner

“…One hundred fifty‐six subjects (mean age 73.2), randomly assigned to one of four interventions (PACE‐Yourself physical exercise program, mindfulness meditation, or Cogmed® adaptive or nonadaptive computerized working memory training) began the study. …”
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Qualitative Analysis of a COVID-19 Mathematical Model with a Discrete Time Delay by Abraham J. Arenas, Gilberto González-Parra, Miguel Saenz Saenz

“…This aspect is a crucial part of this work since other models assume exponential transition for this stage, which can be unrealistic. …”
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A novel lightweight YOLOv8-PSS model for obstacle detection on the path of unmanned agricultural vehicles by Zhijian Chen, Yijun Fang, Jianjun Yin, Shiyu Lv, Farhan Sheikh Muhammad, Lu Liu

“…This YOLOv8-based model incorporates a depth camera to precisely identify and locate impediments in the way of autonomous agricultural equipment. Firstly, this work integrates partial convolution (PConv) into the C2f module of the backbone network to improve inference performance and minimize computing load. …”
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Simulation analysis of path planning for workpiece clamping robots based on digital twin technology by Xin PAN, Min LIANG, Yanchao YIN, Zhong CHEN

“…This approach not only improves operational efficiency but also ensures safety and adaptability in complex working environments. Central to this method is the proposed RRT*-Connect algorithm, which performs dynamic elliptical constraint sampling. …”
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Medical tests, including medical resonance imaging (MRI), computed tomography (CT) scans, biopsy, and electroencephalograms are used for early detection of glioma. …”
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