Contrastive meta-learning framework for few-shot cross-lingual text classification by GUO Jianming, ZHAO Yuran, LIU Gongshen

“…To tackle these challenges, a novel framework was proposed that integrates contrastive learning and meta-learning. …”
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A generalized interval-valued p,q Rung orthopair fuzzy Maclaurin symmetric mean and modified regret theory based sustainable supplier selection method by Shuang Chen, Jian Ren, KeTing Ye, FeiYan Li

“…Abstract A novel interval valued p,q Rung orthopair fuzzy (IVPQ-ROF) multiple attribute group decision making (MAGDM) method for sustainable supplier selection (SSS) is proposed in this paper. …”
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Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution by Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang

“…Therefore, we propose a novel data-driven model named as STA-LSTM by integrating Long Short-Term Memory (LSTM) structure and spatiotemporal attention module, which is capable of forecasting floods for small- and medium-sized rivers. …”
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Presenting a model for the diagnosis of heart failure using cumulative and deep learning algorithms: a case study of tehran heart center by Amir Hossein Hariri, Esmaeil Bagheri, Sayyed Mohammad Reza Davoodi

“…Furthermore, the reported practical tree rules emphasized the use of analytical methods to extract knowledge.…”
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Inspector Maigret and the Teleromanzo: A Case Study of Early Italian Television by Elena Dagrada

“…The "teleromanzo", or "romanzo sceneggiato" (here translated as "TV novel") is a most peculiar narrative genre of early RAI. …”
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Multi-Granularity User Anomalous Behavior Detection by Wenying Feng, Yu Cao, Yilu Chen, Ye Wang, Ning Hu, Yan Jia, Zhaoquan Gu

“…Moreover, not all behaviors of anomalous users are anomalous, so it is difficult to detect their behaviors by standardizing with single rules or models. To address these challenges, this paper presents a novel approach for insider threat detection, leveraging machine learning techniques to conduct multi-granularity anomaly detection. …”
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Generation of Rational Drug-like Molecular Structures Through a Multiple-Objective Reinforcement Learning Framework by Xiangying Zhang, Haotian Gao, Yifei Qi, Yan Li, Renxiao Wang

“…As an appealing approach for discovering novel leads, the key advantage of de novo drug design lies in its ability to explore a much broader dimension of chemical space, without being confined to the knowledge of existing compounds. …”
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Integrating Energy and Time Efficiency in Robotic Manufacturing Cell Design: A Methodology for Optimizing Workplace Layout by Roman Ruzarovsky, Tibor Horak, Robert Bocak, Martin Csekei, Roman Zelník

“…In industrial practice, robotic cell design often involves methods such as predefined layout templates, empirical rules for positioning, and simulation-based validation. …”
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Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model by Ram Chandra Bhushan, Rakesh Kumar Donthi, Yojitha Chilukuri, Ulligaddala Srinivasarao, Polisetty Swetha

“…Results This research has proposed a novel model to address the challenges in natural language processing. …”
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DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization by Nahla Mohamed Ahmed, Ling Chen, Yulong Wang, Bin Li, Yun Li, Wei Liu

“…The method learns latent features from the temporal and topological structure of a dynamic network and can obtain higher prediction results. We present novel iterative rules to construct matrix factors that carry important network features and prove the convergence and correctness of these algorithms. …”
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If Music is Ongoing Experience, What Might Music Theory Be? . A Suggestion from the Drastic by Christopher F. Hasty

“…If we take experience as essentially predetermined by the musical work or, in cognitivist information processing terms, by rule-governed mechanisms for manipulating internal representations (be these rules syntactic or semantic) we shall not be able to account for the creativity of music and the production of novel meaning. …”
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures. This paper addresses this gap by proposing a novel IDS that utilizes hybrid feature selection and deep learning classifiers to detect FDIAs in smart grids. …”
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Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

“…This interpretability helps to understand classification rules and facilitates targeted structural modifications to convert inactive complexes into potentially active ones.…”
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Hairy transcriptional repression targets and cofactor recruitment in Drosophila. by Daniella Bianchi-Frias, Amir Orian, Jeffrey J Delrow, Julio Vazquez, Alicia E Rosales-Nieves, Susan M Parkhurst

“…This approach identified 40 novel genomic targets for Hairy in Kc cells, as well as 155 loci recruiting Groucho, 107 loci recruiting dSir2, and wide genomic binding of dCtBP to 496 loci. …”
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An Educational Web-Based Expert System for Novice Highway Technology in Flexible Pavement Maintenance by Abdalrhman Milad, Nur Izzi Md. Yusoff, Sayf A. Majeed, Zainab Hasan Ali, Mohmed Solla, Nadhir Al-Ansari, Riza Atiq Rahmat, Zaher Mundher Yaseen

“…Knowledge was presented as rules and coded in software through PHP programming. …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

“…Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network (FWNN) including the neural network (NN), the fuzzy logic (FL), the wavelet transform (WT), and the genetic algorithm (GA) was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. …”
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Natural Product Identification and Molecular Docking Studies of Leishmania Major Pteridine Reductase Inhibitors by Moses N. Arthur, George Hanson, Emmanuel Broni, Patrick O. Sakyi, Henrietta Mensah-Brown, Whelton A. Miller, Samuel K. Kwofie

“…<b>Background/Objectives</b>: Pteridine reductase 1 (PTR1) has been one of the prime targets for discovering novel antileishmanial therapeutics in the fight against Leishmaniasis. …”
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A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

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Complementary cognitive roles for D2-MSNs and D1-MSNs during interval timing by Robert A Bruce, Matthew Weber, Alexandra Bova, Rachael Volkman, Casey Jacobs, Kartik Sivakumar, Hannah Stutt, Youngcho Kim, Rodica Curtu, Kumar Narayanan

“…We studied dorsomedial striatal cognitive processing during interval timing, an elementary cognitive task that requires mice to estimate intervals of several seconds and involves working memory for temporal rules as well as attention to the passage of time. …”
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Editorial by Ann-Kristin Kölln, Antony Mason, Jörg Tremmel, Markus Rutsche, Maria Lenk

“…TIME Magazine quoted her saying, “We can’t save the world by playing by the rules, because the rules have to be changed.” With her engagement, Thunberg inspired thousands of youth activists to join her in her efforts and has thus put not only climate change on the political agenda but also the political participation and representation of the young. …”
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