GoalBERT: A Lightweight Named-Entity Recognition Model Based on Multiple Fusion by Yingjie Xu, Xiaobo Tan, Mengxuan Wang, Wenbo Zhang

“…To address these challenges, this manuscript proposes an efficient lightweight model called GoalBERT. The model adopts multiple fusion technologies by integrating a lightweight and efficient BiGRU that excels at handling context into part of the Transformer’s self-attention layers. …”
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Framework Design for the Dynamic Reconfiguration of IoT-Enabled Embedded Systems and “On-the-Fly” Code Execution by Elmin Marevac, Esad Kadušić, Nataša Živić, Nevzudin Buzađija, Samir Lemeš

“…Both processes were fast and resource-efficient under normal conditions, supporting real-time updates with occasional outliers, suggesting room for optimization and also highlighting the advantages of VM-based firmware update methods, which outperform traditional approaches like Serial and OTA (Over-the-Air, the ability to update or configure firmware, software, or devices via wireless connection) updates by achieving lower latency and greater consistency. …”
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VMKLA-UNet: vision Mamba with KAN linear attention U-Net by Chenhong Su, Xuegang Luo, Shiqing Li, Li Chen, Juan Wang

“…KAN linear attention substantially mitigates computational complexity while enhancing the model’s capacity to focus on salient regions of interest, thereby facilitating efficient global context comprehension. The channel attention mechanism dynamically modulates the importance of each feature channel, accentuating critical features and bolstering the model’s ability to differentiate between various tissue types or lesion areas. …”
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MobiRDF: A cloud-based collaborative editing service for mobile RDF data sharing by Nadir Guetmi, Abdessamad Imine, Moulay Driss Mechaoui

“…In this paper, we present MobiRDF, a novel cloud-based approach designed for the efficient and scalable management of RDF data, enabling real-time sharing and editing. …”
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APPLICATION OF MEDIATION IN THE PROCESS OF CROSS-CULTURAL INTEGRATION AND DE-ESCALATION OF CONFLICTS IN THE NORTH CAUCASUS FEDERAL DISTRICT by Alevtina Vadimovna Ivanova

“…In this article showed the urgency of using of mediation as a modern, efficient method of conflict resolution which contribute to reduction the conflict tension, integration and stabilization of the regional society. …”
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Microalgae Biotechnology: Methods and Applications by Xianmin Wang, Songlin Ma, Fantao Kong

“…Microalgae are regarded as sustainable and promising chassis for biotechnology due to their efficient photosynthesis and ability to convert CO₂ into valuable products [...]…”
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One step reconstruction of carbon/P zeolite from coal gasification slag and its adsorption mechanism for crystal violet by Yuhua WU, Caizhu LIU, Yulong MA, Yonggang SUN, Wenxin JI, Li ZHU, Hongcun BAI

“…It is worth noting that CPCMs maintain stable adsorption performance over a wide salinity range and exhibit good anti-interference ability. This study not only achieved high-value resource utilization of coal gasification fine slag, but also provided economically efficient adsorption materials for industrial wastewater treatment, which has important environmental and economic benefits.…”
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Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting by Xiangyue Zhang, Chao Li, Ling Ji, Yuyun Kang, Mingming Pan, Zhuo Liu, Qiang Qi

“…Experiments conducted on three real-world traffic datasets demonstrate that the proposed pre-training method significantly enhances the model’s ability to handle long-term dependencies, missing data, and high computational costs, providing a more efficient solution for traffic prediction.…”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…Deep reinforcement learning-based detection methods have been shown to exhibit strong generalization ability and sample utilization efficiency when the number of samples is limited. …”
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Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…Experiments show that the proposed model can withstand various attacks with higher capacity and more efficient locating ability compared with existing methods.…”
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Devulcanization of natural rubber vulcanizates by Bacillus cereus TISTR 2651 by B. Kaewpetch, S. Prasongsuk, S. Poompradub

“…The ability of Bacillus cereus TISTR 2651 to perform biological devulcanization of natural rubber cured by conventional vulcanization (CV), semi-efficient vulcanization or efficient vulcanization was studied. …”
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Efficacy of structured and conventional techniques on aesthetic and corrective rhinoplasty by Paolo Rubez Rocha

“…RESULTS: Both techniques were efficient in attaining the final objective of the surgery. …”
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Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…Experiments show that the proposed model can withstand various attacks with higher capacity and more efficient locating ability compared with existing methods.…”
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Research on online modeling of multiple demonstration trajectories for robots based on composite movement primitives by LI Zhiyong, YAN Bin, HUANG Xiaoping, LIU Changsheng, MA Cunguo, LIU Tundong

“…The demonstration learning algorithm based on improved dynamic motion primitives is efficient in parameter estimation and has the ability of fast multi-trajectory modeling and generalization.…”
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Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm by Baik Budi, Muhammad Ilhamdi Rusydi, Reivan Arya Witama, Queen Hesti Ramadhamy, Refki Budiman

“…The main goal of the research is to develop an accurate and efficient predictive model. Naive Bayes was chosen it has ability to handle independent features and also have a compatibility with highdimensional data. …”
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Study on the Lightweighting Strategy of Target Detection Model with Deep Learning by Junli Hu

“…Firstly, the real-time and efficient target detection backbone network VoVNet is used to replace the feature extraction network VGG16. …”
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…Extensive simulations and experiments on real power grid data demonstrate that the proposed method significantly outperforms traditional machine learning and mainstream deep learning approaches in terms of localization accuracy, generalization ability, and computational efficiency. This paper provides new perspectives and tools for intelligent power grid information security in IoT environments, holding significant innovative value in both theory and practice.…”
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Sustainability and Resilience in the Rehabilitation of Road Infrastructures After an Extreme Event: An Integrated Approach by Marinella Giunta

“…The sustainability is closely linked with the concept of development that meets the needs of the present without compromising the ability of future generations to meet their own needs. …”
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Peak-to-average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization-based partial transmit sequence model by Vandana Tripathi, Prabhat Patel, Prashant Kumar Jain, Shailja Shukla

“…The ISSA includes a dynamic weight element and Levy flight process to improve the global exploration ability of the optimization algorithm and to control the global and local search ability of the population with a bet-ter convergence rate. …”
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Research progress and challenges in prevention and control of combined disasters of coal spontaneous combustion and methane in coal mine goaf by Botao QIN, Dong MA

“…Further, the corresponding research directions and contents are proposed for the efficient prevention and control of coal spontaneous combustion and gas combined disasters in goaf areas, which aims to provide reference for preventing and curbing coal spontaneous combustion and methane combined disasters in goaf areas, and ensure safe and efficient coal mining.…”
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