An ELECTRA-Based Model for Power Safety Named Entity Recognition by Peng Liu, Zhenfu Sun, Biao Zhou

“…This paper introduces a power safety NER model using efficiently learning an encoder that classifies token replacements accurately (ELECTRA) model. …”
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Zmiany modelu poznawczego uczniów w kontekście prac nad e-podręcznikiem by Jolanta Dyrda

“…The computer and multi-function mobile telephones accompany young people incessantly. …”
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Analysis of Multimedia Combination-Assisted English Teaching Mode Based on Computer Platform by Yitian Zhang, Na Li

“…This will increase students’ interest in learning English. This research will use computer platform and multimedia technology to build a new English teaching platform. …”
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Mamba-DQN: Adaptively Tunes Visual SLAM Parameters Based on Historical Observation DQN by Xubo Ma, Chuhua Huang, Xin Huang, Wangping Wu

“…The reward function is constructed based on the absolute trajectory error (ATE), and the Mamba history observer is built within the agent to learn the observation trajectory, aiming to improve the quality of the agent’s decisions. …”
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Energy Management of Electric–Hydrogen Coupled Integrated Energy System Based on Improved Proximal Policy Optimization Algorithm by Jingbo Zhao, Zhengping Gao, Zhe Chen

“…Then, by introducing the Markov decision process (MDP), this mathematical model is transformed into a deep reinforcement learning framework. On this basis, the state space and action space of the system are defined, and a reward function is designed to guide the agent to learn to the optimal strategy, which takes into account the constraints of the system. …”
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SIMVI disentangles intrinsic and spatial-induced cellular states in spatial omics data by Mingze Dong, David G. Su, Harriet Kluger, Rong Fan, Yuval Kluger

“…Abstract Spatial omics technologies enable analysis of gene expression and interaction dynamics in relation to tissue structure and function. However, existing computational methods may not properly distinguish cellular intrinsic variability and intercellular interactions, and may thus fail to reliably capture spatial regulations. …”
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Current understanding of ocular fluid analysis in uveitis by Mariko Shirane, Nobuyo Yawata, Koh-Hei Sonoda

“…Uveitis sometimes causes severe inflammation and significant loss of visual function. However, the cause is unknown in approximately 50% of cases, and the pathogenesis of the disease is also unknown in many cases. …”
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Questioning the localization and circulation of knowledge in Africa by Pascale Moity-Maizi

“…The author concludes that the dynamics of localisation and circulation are two processes that can hardly function separately; both dynamics are organised by oriented and collaborative networks.…”
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Data-driven model discovery with Kolmogorov-Arnold networks by Shirin Panahi, Mohammadamin Moradi, Erik M. Bollt, Ying-Cheng Lai

“…Another approach is based on machine learning, e.g., deep neural networks, which excels at capturing system behavior from data but functions as black boxes, offering little insight into how inputs influence the outputs. …”
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Tree networks of real-world data: Analysis of efficiency and spatiotemporal scales by Davide Cipollini, Lambert Schomaker

“…Within the class of hierarchical self-organized systems, we investigate the interplay of structure and function associated with the emergence of complex tree structures in disordered environments. …”
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Physics-informed neural operators for generalizable and label-free inference of temperature-dependent thermoelectric properties by Hyeonbin Moon, Songho Lee, Wabi Demeke, Byungki Ryu, Seunghwa Ryu

“…PINN enables field reconstruction and property inference by embedding governing equations into the loss function, while PINO generalizes across materials without retraining. …”
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Monocular weakly supervised depth and pose estimation method based on multi-information fusion by Zhimin Zhang, Jianzhong Qiao, Shukuan Lin

“…Finally, we design the loss function of supervised cues based on "Ground Truth" labels and self-supervised cues. …”
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Atmospheric Pollutant Flow and Precipitation: Modeling Effects on the Vegetation Ecosystem by Allag Fateh, Saddek Bouharati, Lamri Tedjar, Mohamed Fenni

“…The output variable expresses the rate of degradation of this species under the effect of pollution. Learning the system makes it possible to establish the transfer function and thus predict the impact of pollutants on the vegetation.…”
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Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification by Murinto Murinto, Sri Winiarti

“…The parameters obtained using MPSO are kept in the same condition in each convolution layer, and the objective function is evaluated by MPSO, which is given by classification rate. …”
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Design of an Aperiodic Optical Phased Array Based on the Multi-Strategy Enhanced Particle Swarm Optimization Algorithm by Zhuangzhuang Zang, Junjie Wu, Qingzhong Huang

“…The global search capability is improved by incorporating circle chaotic mapping initialization and an updated strategy based on adaptive inertia weights and dynamic learning factors. We used the peak side-lobe level (PSLL) at different steering angles as the fitness function, which effectively suppresses the rapid degradation of PSLL during scanning. …”
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Cloud computing virtualization technology based on bandwidth resource-aware migration algorithm by Jin Zhiwei

“…With the expansion of the Internet, network functions and requirements are becoming more varied. …”
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Historical background and basic elements of the ideal of Chinese traditional management education by M. Yu. Zakharov, A. V. Shishkova

“…It is concluded that effective managerial education is impossible without a socio-cultural basis, a kind of educational ideal which fulfills the regulatory function.…”
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SPIFFNet: A Statistical Prediction Interval-Guided Feature Fusion Network for SAR and Optical Image Classification by Yingying Kong, Xin Ma

“…In the feature fusion stage, we combine channel attention (CA), spatial attention (SA), and multiscale squeeze enhanced axial attention (MSEA) to propose FFM to improve and fuse cross-modal features in a multiscale cross-learning manner. To counteract category imbalance, we also implement a weighted cross-entropy loss function. …”
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Science Teachers’ ICT Use Frequency and the Barriers They Were Exposed by Fatma TAŞKIN EKİCİ, Seçil DEMİRHAN, İzzet KARA, Erhan EKİCİ

“…Developments in ICTs effect construct and function of educational initiatives and institutions and in the same time, change the expectations of several sectors (e.g. economy, industry and communication) from educational institutions. …”
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ANALISIS WARNA CAHAYA LAMPU TERHADAP HASIL TANGKAPAN IKAN by Grace Loupatty

“…By learning and researching the wave-length of light and its propagation we can make an observation of the function and effectiveness light as a stimulation in fishing. …”
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