Unsupervised Domain Adaptation Method Based on Relative Entropy Regularization and Measure Propagation by Lianghao Tan, Zhuo Peng, Yongjia Song, Xiaoyi Liu, Huangqi Jiang, Shubing Liu, Weixi Wu, Zhiyuan Xiang

“…This paper presents a novel unsupervised domain adaptation (UDA) framework that integrates information-theoretic principles to mitigate distributional discrepancies between source and target domains. …”
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Participatory Budgeting in Local Governments:The case of kabale district local government, uganda by Eton, Marus, Perpetua, Arinaitwe, Fabian, Mwosi, Benard, Patrick Ogwel, Arthur, Sunday, Labson, Turyamushanga

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Flood hazard mapping in an urban area using combined hydrologic-hydraulic models and geospatial technologies by B.A.M. Talisay, G.R. Puno, R.A.L. Amper

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Towards building a sustainable future with the tech revolution by E. Allaf Jafari, F. Asayesh, M. Rostamian

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DIGITAL EMPLOYMENT: UKRAINE’S RANKING IN THE GLOBAL DIVISION OF DIGITAL LABOUR by Nadiya Azmuk, Olena Grishnova, Oleg Kuklin

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HEAT: Incorporating hierarchical enhanced attention transformation into urban road detection by Ting Han, Chuanmu Li, Siyu Chen, Zongyue Wang, Jinhe Su, Yundong Wu, Guorong Cai

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Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…This framework is defined via Petri nets, which extend hypergraphs to support concurrent, multimodal flow and richer structural representation. …”
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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

“…We give a simple computational cost estimate of the RetNet and directly compare it with similar estimates for transformers, establishing a clear threshold ratio of problem-to-model size past which the RetNet’s time complexity outperforms that of the transformer. …”
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For Precision Animal Husbandry: Precise Detection of Specific Body Parts of Sika Deer Based on Improved YOLO11 by Jinfan Wei, Haotian Gong, Lan Luo, Lingyun Ni, Zhipeng Li, Juanjuan Fan, Tianli Hu, Ye Mu, Yu Sun, He Gong

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BT-YOLO11: Automatic Driving Road Target Detection in Complex Scenarios by Qi Wang, Qi Long Wang

“…In the feature extraction stage, Bi-level Routing Attention is introduced to enhance the model’s ability to capture feature information. The Tri-directional Feature Pyramid Net is used in the feature fusion stage, which adequately fuses different levels of feature information and improves the accuracy and robustness of the algorithm. …”
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Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive... by Boqun Shi, Liangguo Chen, Shuo Pang, Yue Wang, Shen Wang, Fadong Li, Wenxin Zhao, Pengrong Guo, Leli Zhang, Chu Fan, Yi Zou, Xiaofan Wu

“…Compared with the LLMs, SWEDEHEART-AI demonstrated positive and greater net benefits at risk thresholds below 19%. …”
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DAENet: A Deep Attention-Enhanced Network for Cropland Extraction in Complex Terrain from High-Resolution Satellite Imagery by Yushen Wang, Mingchao Yang, Tianxiang Zhang, Shasha Hu, Qingwei Zhuang

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Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis by Gunjan Shandilya, Sheifali Gupta, Salil Bharany, Ateeq Ur Rehman, Upinder Kaur, Hafizan Mat Som, Seada Hussen

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Defining analytical skills for human resources analytics: A call for standardization by Konrad Kulikowski

“…METHODOLOGY: We examine business “analytical skills” through the theoretical framework of the knowledge, skills, and abilities (KSA) included in the Occupational Information Network (O*NET) content model. Using data from the O*NET database, occupations were classified into Human Resource Management (HRM) and Analytical occupations. …”
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YOLO-I3D: Optimizing Inflated 3D Models for Real-Time Human Activity Recognition by Ruikang Luo, Aman Anand, Farhana Zulkernine, Francois Rivest

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Predictive modeling of building energy consumption and thermal comfort for decarbonization in construction and retrofitting by Sameer Algburi, Aymen Mohammed, Ibrahim Abdullah, Talib Munshid Hanoon, Hassan Falah Fakhruldeen, Otabek Mukhitdinov, Feryal Ibrahim Jabbar, Qusay Hassan, Ali Khudhair, David Kato

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BrainAR: Automated Brain Tumor Diagnosis With Deep Learning and 3D Augmented Reality Visualization by Meriem Khedir, Kahina Amara, Nassima Dif, Oussama Kerdjidj, Shadi Atalla, Naeem Ramzan

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Enhanced thyroid nodule detection and diagnosis: a mobile-optimized DeepLabV3+ approach for clinical deployments by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

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Attractive targeted sugar baits for malaria control in western Kenya (ATSB-Kenya): enrolment characteristics of cohort children and households by Alice Kamau, Kizito Obiet, Caroline Ogwang, Daniel P. McDermott, Maia Lesosky, Julia Janssen, Wycliffe Odongo, Julie R. Gutman, Jonathan S. Schultz, Wycliffe Nicholas, Brian Seda, Mercy Chepkirui, Frank Aduwo, Oliver Towett, Kephas Otieno, Martin J. Donnelly, Eric Ochomo, Simon Kariuki, Aaron M. Samuels, Feiko O. ter Kuile, Sarah G. Staedke

“…While 99% of households owned at least one bed net, only 51% were adequately covered (one net per two household residents). …”
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A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

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