Pertinence of contact duration as edge feature for epidemic spread analysis by Ramya D. Shetty, Shrutilipi Bhattacharjee

“…The empirical study revealed that the proposed approach outperforms with an improvement of 0.146–0.473 kendall’s score in comparison with baseline approaches.…”
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Analysis and Evaluation of Competence of Information Sources in Problems of Intellectual Data Processing by Krisilov V. A., Komleva N. O.

“…., using data mining algorithms and a statistical approach. The aim of the work is to formalize the description and analysis of the source data as a means of improving the quality of solving intellectual problems. …”
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Visual recognition of honeybee behavior patterns at the hive entrance. by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Gabriela Vdoviak

“…This work lays the groundwork for future automated monitoring systems aimed at improving hive health and productivity.…”
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Lightweight image super-resolution network based on muti-domain information enhancement by KOU Qiqi, LIU Gui, JIANG He, CHEN Liangliang, CHENG Deqiang

“…By processing information across different feature domains, both global and local low-frequency and high-frequency features were optimized, significantly improving the model’s performance in detail recovery and image reconstruction. …”
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Electricity nowcasting and forecasting efficiency in blockchain-integrated energy trading platforms by Ameni Boumaiza

“…Furthermore, the system achieves an approximately 30% reduction in battery storage requirements, highlighting its potential for improving grid stability and promoting renewable energy integration. …”
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Literature Reviews of Topology Optimal Design Methods and Applications in Magnetic Devices by Jiaqi Wu, Ziyan Ren, Dianhai Zhang

“…It also demonstrates the advantages of topology optimization technology in enhancing operating performance, fostering structural innovation, and improving material utilization in magnetic devices. …”
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Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning by Mohammed Al-alshaqi, Danda B. Rawat, Chunmei Liu

“…For textual data, the Random Forest classifier achieved 99% accuracy, outperforming other algorithms. The multimodal approach showed superior performance compared to baseline models, with a 3.1% accuracy improvement over existing multimodal techniques. …”
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Innovative novel regularized memory graph attention capsule network for financial fraud detection. by Xiangting Shi, Xiaochen Wang, Yakang Zhang, Xiaoyi Zhang, Manning Yu, Lihao Zhang

“…This article presents the Regularised Memory Graph Attention Capsule Network (RMGACNet), an original architecture aiming at improving fraud detection using Bidirectional Long Short-Term Memory (BiLSTM) networks combined with advanced feature extraction and classification algorithms. …”
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Recent advances and controversies in head and neck reconstructive surgery by Kuriakose Moni, Sharma Mohit, Iyer Subramania

“…Advances in head and neck reconstruction has made significant improvement in the quality of life and resectability of head and neck cancer. …”
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Dual-stage gated segmented multimodal emotion recognition method by MA Fei, LI Shuzhi, YANG Feixia, XU Guangxian

“…In the interaction stage, the OAGL fusion strategy was employed to model global-local cross-modal interactions, improving the efficiency of feature fusion. The dual-stage gating stage integrates local and global features was designed to fully utilize emotional information. …”
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PROTAX-Sound: A probabilistic framework for automated animal sound identification. by Ulisses Moliterno de Camargo, Panu Somervuo, Otso Ovaskainen

“…The best performing classifier achieved 68% classification accuracy for 200 bird species. PROTAX-Sound improves the classification power of current techniques by combining information from multiple classifiers in a manner that yields calibrated classification probabilities.…”
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What factors enhance students' achievement? A machine learning and interpretable methods approach. by Hui Mao, Ribesh Khanal, ChengZhang Qu, HuaFeng Kong, TingYao Jiang

“…Our framework enables educators to transform predictive analytics into actionable pedagogical improvements.…”
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Establishment and Application of Passenger Flow Safety Management Evaluation Model with Entropy Weight and TOPSIS for Metro Stations by Heng YU

“…The results demonstrate that this model provides an accurate assessment of metro station passenger safety management and offers decision-makers clear directions for improvement.…”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…Several object detection algorithms (i.e., Faster R-CNN, YOLOv4, and YOLOX) and multiple backbone CNN architectures were evaluated under a wide range of conditions, revealing their true representative performance. …”
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The role of artificial intelligence in automating decision–making processes in project management by E. O. Lebedeva

“…The relevance of this topic is predetermined by the rapid development of technologies, their powerful and increasing impact on improving management efficiency (including reducing time to complete tasks, leveling risks, optimizing resource utilization). …”
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Recurrence Rates of Pilonidal Sinus Disease Are High in Children and Recurrences Occur Exceedingly Early by Christina Oetzmann von Sochaczewski, Dietrich Doll

“…Although treatment algorithms have been developed to adapt treatment to this dire situation, relevant improvements can only be expected if the underlying factors that cause these recurrence dynamics in children, which are substantially different from those in adults, were to be uncovered.…”
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Generating q-Commutator Identities and the q-BCH Formula by Andrea Bonfiglioli, Jacob Katriel

“…When [y,x]q=0, this expansion is consistent with the known result by Schützenberger-Cigler: expq⁡(x)expq⁡(y)=expq⁡(x+y). Our result improves and clarifies some existing results in the literature. …”
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Artificial intelligence in academic research: Benefits, challenges, and ethical dimensions in doctoral studies by Zaki EL HANI, Jaouad KARROUM, Abdelmajid ELOUADI, Aniss MOUMEN

“…These tools enable advanced data analysis, automate repetitive tasks, and foster cross-disciplinary collaboration, significantly improving research quality. However, this transformation is accompanied by challenges, including ethical concerns such as algorithmic bias, risks to data privacy, and over-reliance on automation, which may erode critical thinking and human judgment. …”
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Metric-Based Few-Shot Transfer Learning Approach for Voice Pathology Detection by Jong-Ho Won, Deok-Hwan Kim

“…The study employs a metric-based FSL approach to enhance model generalization with limited data and validates this method using both voice and electroglottographic (EGG) signals, thereby improving the diagnostic accuracy and clinical applicability. …”
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Advancements in Remote Sensing for Monitoring and Risk Assessment of Glacial Lake Outburst Floods by Serik Nurakynov, Nurmakhambet Sydyk, Zhaksybek Baygurin, Larissa Balakay

“…This review underscores the importance of these technologies in improving GLOF risk assessments and supporting early warning systems, which are crucial for safeguarding vulnerable high-mountain communities. …”
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