Metric-based defect prediction from class diagram by Batnyam Battulga, Lkhamrolom Tsoodol, Enkhzol Dovdon, Naranchimeg Bold, Oyun-Erdene Namsrai

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Multi-Head Graph Attention Adversarial Autoencoder Network for Unsupervised Change Detection Using Heterogeneous Remote Sensing Images by Meng Jia, Xiangyu Lou, Zhiqiang Zhao, Xiaofeng Lu, Zhenghao Shi

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Optimizing Fingerprint Identification: CNNs With Raw Images Versus Handcrafted Features for Real-Time Systems by Shaik Salma, Tauheed Ahmed, Garimella Ramamurthy

“…Comprehensive evaluations were conducted across multiple benchmark datasets FVC2000, FVC2002, FVC2004, and NIST SD27, using both single-run and multi-run experiments. …”
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Enhancing User Experience in Free and Open-Source Software: An Integrated Maturity Model Framework by Elif Zamir, Abdul Rehman, Sara Zamir, Fuad A. M. Al-Yarimi, Assad Abbas

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Emotion-Aware Embedding Fusion in Large Language Models (Flan-T5, Llama 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation by Abdur Rasool, Muhammad Irfan Shahzad, Hafsa Aslam, Vincent Chan, Muhammad Ali Arshad

“…The proposed framework is evaluated across multiple practical use cases to demonstrate real-world applicability, including AI-driven therapy chatbots. …”
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Aligning large language models and geometric deep models for protein representation by Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du

“…Summary: In this study, we explore the alignment of multimodal representations between large language models (LLMs) and geometric deep models (GDMs) in the protein domain. We comprehensively evaluate three LLMs with four protein-specialized GDMs. …”
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Informed-Learning-Guided Visual Question Answering Model of Crop Disease by Yunpeng Zhao, Shansong Wang, Qingtian Zeng, Weijian Ni, Hua Duan, Nengfu Xie, Fengjin Xiao

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Raster Image-Based House-Type Recognition and Three-Dimensional Reconstruction Technology by Jianbo Chang, Yunlei Lv, Jian Wang, Hao Pang, Yaqiu Liu

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Machine Learning-Based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction by Jayroop Ramesh, Donthi Sankalpa, Rohan Mitra, Salam Dhou

“…<italic>Goal:</italic> Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. …”
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Toward Precise Quantification of Energy Expenditure in Wheelchair Users by Iftikhar Alam, Zulfiqar Ali, Wassauf Khalid, Gauhar Ali, Mohammed ELAffendi

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Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning by Ce Feng, Parv Venkitasubramaniam

“…The increasing adoption of machine learning at the edge (ML-at-the-edge) and federated learning (FL) presents a dual challenge: ensuring data privacy as well as addressing resource constraints such as limited computational power, memory, and communication bandwidth. …”
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Support Vector Regression-Based Adaptive Divided Difference Filter for Nonlinear State Estimation Problems by Hongjian Wang, Jinlong Xu, Aihua Zhang, Cun Li, Hongfei Yao

“…The derivative-free SVRADDF algorithm is significantly simpler to compute than other methods and is implemented using only functional evaluations. …”
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Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks by Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao

“…One is the snapshot quality, which evaluates the quality of the community partitions at the current time step. …”
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Dynamic Assessment of Vibration of Tooth Modification Gearbox Using Grey Bootstrap Method by Hui-liang Wang, Xiao-zhong Deng, Ju-bo Li, Jian-jun Yang

“…The method characterized vibration base feature of tooth modification gearbox by developing dynamic uncertainty, estimated true value, and systematic error measure, and these parameters could indirectly dynamically evaluate the effect of tooth modification. The method can evaluate the vibration signal of gearbox with installation of no tooth modification gear and topological modification gear, respectively, considering that 100% reliability is the constraints condition and minimum average uncertainty is the target value. …”
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Tensor-Based Predictor–Corrector Algorithm for Power Generation and Transmission Reliability Assessment with Sequential Monte Carlo Simulation by Erika Pequeno dos Santos, Beatriz Silveira Buss, Mauro Augusto da Rosa, Diego Issicaba

“…If required, failure states are evaluated using a cross-entropy optimization algorithm designed to minimize load curtailments taking into account discrete variables. …”
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A study on different variables on the distribution law of oil and gas diffusion concentration of internal floating roof tanks by JiChao Li, Xingjian Li, Dongjiang Yang, Yadong Zhang, Yakun Liu, XueXin Zhu, Cong Zhang, Shiwang Dang, Chuanbo Li, Yan Liu

“…This study developed a computational fluid dynamics (CFD) model using CFD, based on the Realizable k-ε turbulence model to evaluate the effects of varying liquid levels. …”
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Reverse Peroneal Artery Flap—A Workhorse Flap for Reconstruction of Large, Distal Defects of Ankle and Foot by Lakshmi Palukuri, Raja Kiran Kumar Goud Ireni, Faiyaz Abdul Jabbar, Shaleena Sukumaran Nair, Pranav Reddy Jambula, Vijaybabu Kommu

“…Large defects of foot and ankle were reconstructed with RPA flap and evaluated for its usefulness. Three cases were evaluated with computed tomography angiography postoperatively, to assess the vascular pattern. …”
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Enhancing Steganography Detection with AI: Fine-Tuning a Deep Residual Network for Spread Spectrum Image Steganography by Oleksandr Kuznetsov, Emanuele Frontoni, Kyrylo Chernov, Kateryna Kuznetsova, Ruslan Shevchuk, Mikolaj Karpinski

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Generating cervical anatomy labels using a deep ensemble multi-class segmentation model applied to transvaginal ultrasound images by Alicia B. Dagle, Yucheng Liu, Madeline Skeel, Gabriel G. Trigo, David Crosby, Helen Feltovich, Michael House, Qi Yan, Kristin M. Myers, Sachin Jambawalikar

“…This study utilizes an ensemble of deep learning-based multi-class segmentation models trained on diverse TVUS data (N = 246) and evaluated on an out-of-distribution dataset (N = 29). …”
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Performance analysis of a filtering variational quantum algorithm by Gabriel Marin-Sanchez, David Amaro

“…Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements. …”
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