LMSOE-Net: lightweight multi-scale small object enhancement network for UAV aerial images by Zhixing Ma, Peidong Luo, Xiaole Shen

“…The results demonstrate that our approach significantly boosts detection accuracy and optimizes model efficiency through the integration of our proposed enhancement modules. The source codes are at: https://github.com/ljdl1/LMSOE-Net .…”
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System noise removal for area-array satellite image considering self-constraint and graph regularized row sparse coding by Tianzhen Wan, Jun Pan, Mi Wang

“…A series of experiments conducted on simulated images and real Gaofen-4 satellite images demonstrate that the proposed SC-GRSC method outperforms comparable methods in removing system noise. The source code for SC-GRSC is available at: https://github.com/2015114000/SC-GRSC.…”
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Flow-induced Flutter Derivatives of Bridge Decks by B. Su, Y. Liu, M. Chambalile, G. Wang, M. M. Alam, E. Barati

“…It employs forced vibration simulations using the Open-source code OpenFOAM for flutter derivative identifications. …”
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History of unmanned aircraft flight controller development by Yu. S. Tsench, R. K. Kurbanov

“…This encompasses a thorough examination of original works by both domestic and foreign authors, including literary references, scientific journal articles, monographs, conference materials, museum exhibitions, photographic archives, and open-access software source code. (Results and discussion) The historical process of unmanned aerial vehicle development has led to the emergence of many types of designs that provide better flight performance and new functions through the creation of flight control systems. …”
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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…Extensive experiments on fourteen benchmark datasets from the UCI and KEEL data repositories and the corresponding statistical test results demonstrate the effectiveness of the proposed AD-TSK as well as its inverse-free fast training. The source code of AD-TSK classifier can be downloaded from https://github.com/gusuhang10/AD-TSK .…”
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Visual tracking by matching points using diffusion model by Mohamad Alansari, Iyyakutti Iyappan Ganapathi, Sara Alansari, Hasan Al Marzouqi, Sajid Javed

“…Extensive experiments demonstrate that Stable-SAM2 delivers superior and competitive performance compared to supervised state-of-the-art (SOTA) trackers, all without relying on complex VOT-specific training paradigms or large-scale training datasets. The source code of the Stable-SAM2 is publicly available at: https://github.com/HamadYA/Stable-SAM2.…”
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A hybrid super learner ensemble for phishing detection on mobile devices by Routhu Srinivasa Rao, Cheemaladinne Kondaiah, Alwyn Roshan Pais, Bumshik Lee

“…Several antiphishing techniques, such as blacklist-based, source code analysis, and visual similarity-based methods, have been developed to counter phishing websites. …”
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Enhancing LLM Reasoning Capabilities Through Brokered Multi-Expert Reflection by Tejasvee Sheokand, Garveet Jain, Arshdeep Bahga, Vijay K. Madisetti

“…To facilitate further investigation and validation of our proposed brokered multi-expert reflection framework for non-commercial use, the source code of our system is available at <uri>https://github.com/WiZY936/Brokered-Multi-Expert-Reflection</uri>…”
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iDOM: Statistical analysis of dissolved organic matter characterized by high‐resolution mass spectrometry by Fanfan Meng, Ang Hu, Kyoung‐Soon Jang, Jianjun Wang

“…We further showed the case studies with advanced functions to quantify DOM assembly processes, assess the effects of dark matter on molecular interactions, analyze the ecological networks between DOM and microbes, and explore their response to warming. The source code and example dataset of iDOM are publicly available on https://github.com/jianjunwang/iDOM. …”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…This adaptability highlights the importance of representation choice in optimizing model performance. Source code for MoL-MoE is available at https://github.com/IBM/materials/tree/main/models/mol_moe .…”
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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth by Jui-Sheng Chou, Asmare Molla

“…Further testing and evaluation of ATO-WFLSSVR across diverse datasets encompassing more complex scenarios are recommended. The data and source code for this study are currently accessible at https://www.researchgate.net/profile/Jui-Sheng-Chou/publications.…”
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Silicate Sundogs: Probing the Effects of Grain Directionality in Exoplanet Observations by Elijah Mullens, Nikole K. Lewis

“…To foster the exploration of aerosols in exoplanet data, the open-source code POSEIDON has been updated (v1.3.1) to include 144 new direction- and temperature-dependent aerosols with precomputed optical properties, alongside new aerosol models.…”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…This study confirms the potential of approximate computing to optimize machine learning workflows, making it particularly suitable for applications with limited computational resources. The source code is publicly available online https://github.com/AyadMDalloo/DatalvlAxC.…”
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OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement. by Ajay Seth, Jennifer L Hicks, Thomas K Uchida, Ayman Habib, Christopher L Dembia, James J Dunne, Carmichael F Ong, Matthew S DeMers, Apoorva Rajagopal, Matthew Millard, Samuel R Hamner, Edith M Arnold, Jennifer R Yong, Shrinidhi K Lakshmikanth, Michael A Sherman, Joy P Ku, Scott L Delp

“…The OpenSim software is covered by the Apache License 2.0, which permits its use for any purpose including both nonprofit and commercial applications. The source code is freely and anonymously accessible on GitHub, where the community is welcomed to make contributions. …”
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An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study. by Abdulkerim Capar, Dursun Ali Ekinci, Mucahit Ertano, M Khalid Khan Niazi, Erva Bengu Balaban, Ibrahim Aloglu, Meryem Dogan, Ziyu Su, Fugen Vardar Aker, Metin Nafi Gurcan

“…The study emphasizes the potential impact of these measures in advancing histopathological image analysis, fostering consensus in TILs scoring, and ultimately improving breast cancer diagnostics and treatment planning. The source code and implementation guide for this study are accessible on our GitHub page, and the full clinical dataset is available for academic and research purposes on Kaggle.…”
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iNClassSec-ESM: Discovering potential non-classical secreted proteins through a novel protein language model by Yizhou Shao, Taigang Liu

“…Additionally, the ESM3 hidden layer embeddings, as an innovative protein representation method, show great potential for the application in broader protein-related classification tasks. The source code of iNClassSec-ESM and the ESM3 embeddings extraction script are publicly available at https://github.com/AmamiyaHoshie/iNClassSec-ESM/.…”
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SCH-Hunter: A Taint-Based Hybrid Fuzzing Framework for Smart Contract Honeypots by Haoyu Zhang, Baotong Wang, Wenhao Fu, Leyi Shi

“…SCH-Hunter conducts source-code-level feature analysis of smart contracts and extracts data dependency relationships between variables from the generated Control Flow Graph to construct specific transaction sequences for fuzzing. …”
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A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification by Marcelo V. C. Aragão, Augusto G. Afonso, Rafaela C. Ferraz, Rairon G. Ferreira, Sávio G. Leite, Felipe A. P. de Figueiredo, Samuel B. Mafra

“…These insights underscore the importance of aligning tool selection with specific problem characteristics and resource constraints. The open-source code and reproducible experimental protocols further ensure the study’s value as a robust resource for researchers and practitioners.…”
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A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection by Liangjun Wang, Weitao Chen, Haoyi Wang, Zhengchao Chen

“…Thus, the proposed model demonstrates a marked advancement in remote sensing CD. The source code and pretrained models of TMSF will be publicly released at <uri>https://github.com/ljwang8/TMSF</uri>.…”
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YOLOv10-CBRC: A high-precision document image layout analysis model by Zhenjie Wu, Weilan Wang, Hongrui Li

“…Building upon YOLOv10 as the baseline model, the proposed model implements three key improvements: (1) the replacement of the Partial Self-Attention (PSA) module with the Convolutional Block Attention Module (CBAM), which enhances perception of channel-wise information and spatial localization of objects,(2) the adoption of dual-branch Re-upsample and Re-SCDown modules (2Re), which facilitates more effective utilization of multi-scale information,(3) the design of a novel classification feature processor, CIBwithResidualCV3 (CRCV3), which improves performance in classification tasks.Experimental results demonstrate that YOLOv10-CBRC achieves a mAP $$_{50\text {-}95}$$ 50 - 95 of 77.6% on the AbaTND, while YOLOv10-RC reaches mAP $$_{50\text {-}95}$$ 50 - 95 scores of 70.6% and 74.6% on the $$D^4LA$$ D 4 L A and IIIT-AR-13K datasets, respectively, significantly outperforming baseline model. The dataset and source code are publicly available at: https://github.com/fengmuyanghua/YOLOv10-CBRC-AbaTND .…”
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