Enhancing Knowledge Graph Construction with Automated Source Evaluation Using Large Language Models by Hendrik Hendrik, Silmi Fauziati, Adhistya Erna Permanasari

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Anxiety-Like Behavioural Inhibition Is Normative under Environmental Threat-Reward Correlations. by Dominik R Bach

“…Extant explanations of this phenomenon make use of descriptive models but do not provide a formal assessment of its adaptive value. …”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…With the growing complexity and interdependence of urban systems, multi-objective optimization (MOO) has become a critical tool for smart-city planning, sustainability, and real-time decision-making. This article presents a systematic literature review (SLR) of 117 peer-reviewed studies published between 2015 and 2025, assessing the evolution, classification, and performance of MOO techniques in smart-city contexts. …”
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Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

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Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization by Quan Gan, Qi-Wei Ge, Chuanxia Liu, Zhaoman Zhong, Jiaying Wu, Lei Shi, Jin Xu, Chen Li

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Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

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SbD4Skin by EosCloud: Integrating multi-view molecular representation for predicting skin sensitization, irritation, and acute dermal toxicity by Nikoletta-Maria Koutroumpa, Dimitra-Danai Varsou, Panagiotis D. Kolokathis, Maria Antoniou, Konstantinos D. Papavasileiou, Eleni Papadopoulou, Anastasios G. Papadiamantis, Andreas Tsoumanis, Georgia Melagraki, Milica Velimirovic, Antreas Afantitis

“…To promote broader adoption and reduce reliance on animal testing, the developed models are freely available through the SbD4Skin (Safe by Design for Skin) web platform (https://eoscloud.entelos.eu/ssbd4chem/sbd4skin/), offering a user-friendly tool for chemical risk assessment and regulatory decision-making. The dataset and model developed in this study have been FAIRified and made available in machine-actionable and modelling-ready formats, supporting transparency, reuse, and regulatory acceptance.…”
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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

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Risk prediction and analysis of gallbladder polyps with deep neural network by Kerong Yuan, Xiaofeng Zhang, Qian Yang, Xuesong Deng, Zhe Deng, Xiangyun Liao, Weixin Si

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Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil by Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo, Robert H. Mak, Clara C. Pinhati, Stella C. Gallante, Hercílio Martelli-Júnior, Ana Cristina Simões e Silva, Eduardo A. Oliveira

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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

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Risk Evaluation for Human Factors of Flight Dispatcher Based on the Hesitant Fuzzy TOPSIS-DEMATEL-ISM Approach: A Case Study in Sichuan Airlines by Jing-Han Zeng, Jing-Yang Huang, Qing-Wei Zhong, Dai-Wu Zhu, Yi Dai

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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

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Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

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Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms by Gyan Singh, Saptadeep Biswas, Absalom El-Shamir Ezugwu, Vladimir Simic, Uttam Kumar Bera, Kashif Saleem, Laith Abualigah

“…Furthermore, employing the Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making enables systematic ranking and comparison of HSCAGOA’s performance against other algorithms. …”
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magpie: A power evaluation method for differential RNA methylation analysis in N6-methyladenosine sequencing. by Zhenxing Guo, Daoyu Duan, Wen Tang, Julia Zhu, William S Bush, Liangliang Zhang, Xiaofeng Zhu, Fulai Jin, Hao Feng

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Models of self-peptide sampling by developing T cells identify candidate mechanisms of thymic selection. by Iren Bains, Hisse M van Santen, Benedict Seddon, Andrew J Yates

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Non-invasive PNET grading using CT radiomics and machine learning by Faeze Salahshour, Mahsa Taherzadeh, Ghasem Hajianfar, Gholamreza Bayat, Farid Azmoudeh Ardalan, Soroush Bagheri, Arman Esmailzadeh, Majid Kahe, Sajad P. Shayesteh

“…Machine learning-based medical image analysis has emerged as a promising approach for improving clinical decision-making. The purpose is to determine the most effective machine learning method and phase of CT scan to provide clinicians with an efficient tool for accurately identifying pathological grades of pancreatic neuroendocrine tumours (PNET). …”
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AI4Design: A generative AI-based system to improve creativity in design–A field evaluation by Luca Abrusci, Karma Dabaghi, Stefano D'Urso, Filippo Sciarrone

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Sentence type identification-based product review sentiment analysis using BeDi-DC and Log-Squish CNN by Neetesh Kumar Nema, Vivek Shukla, Rohit Miri, Praveen Chouksey, Rohit Raja, Kamred Udham Singh, Ankit Kumar, Mohd Asif Shah

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