A compact 4T1M2C AMOLED pixel circuit with multimodal drive transistor by Eva Bestelink, Radu A. Sporea

“…Its gating mechanisms separate ‘analog' charge injection, controlled by the source contact, from ‘digital' channel conductance switching. …”
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Signal-Induced Heap Transform-Based QR-Decomposition and Quantum Circuit for Implementing 3-Qubit Operations by Artyom M. Grigoryan, Alexis Gomez, Isaac Espinoza, Sos S. Agaian

“…This transform is generated by a given signal and may use different paths, or orders, of processing the data, and, among them, one can find paths that allow one to construct efficient quantum circuits for implementing multi-qubit unitary gates. …”
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Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment by C. Labesh Kumar, Suresh Betam, Denis Pustokhin, E. Laxmi Lydia, Kanchan Bala, Rajanikanth Aluvalu, Bhawani Sankar Panigrahi

“…SDN delivers sources for enhancing management and system control by splitting data and control plane, and the control logic is federal in a controller. …”
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Systematic modulation of charge and spin in graphene nanoribbons on MgO by Amelia Domínguez-Celorrio, Leonard Edens, Sofía Sanz, Manuel Vilas-Varela, Jose Martinez-Castro, Diego Peña, Véronique Langlais, Thomas Frederiksen, José I. Pascual, David Serrate

“…Abstract In order to take full advantage of graphene nanostructures in quantum technologies, their charge and spin state must be precisely controlled. Graphene quantum dots require external gating potentials to tune their ground state. …”
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Recognition of Concrete Surface Cracks Based on Improved TransUNet by Xuwei Dong, Yang Liu, Jinpeng Dai

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

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A New Analysis of Web Customer Service Text Classification of Alexa Virtual Assistant Commands Using a Deep Learning Model by Seidakhmet Nurpatsha

“…As the integration of intelligent systems in daily life grows, the need for accurate and efficient text classification becomes more critical. …”
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HgTe Nanocrystals Carrier Density and Its Tuning by Mariarosa Cavallo, Dario Mastrippolito, Clément Gureghian, Erwan Bossavit, Huichen Zhang, Albin Colle, Tommaso Gemo, Alexandre Neyret, Adrien Khalili, Debora Pierucci, Emmanuel Lhuillier

“…Therefore, this review aggregates most of the recent developments related to the determination and control of the carrier density with HgTe NCs. The manuscript is organized along three scales: the intrinsic properties that mostly relate to the inorganic core of the NCs, the nanoscale functionalization that relates to the surface modification of the NCs, and the device scale mostly driven by gating methods. …”
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Configurationally Stepping Confinement Achieved Tunable Chiral Near‐Infrared Luminescence Supramolecular Phenothiazine Organic Framework by Jie Yu, Jie Niu, Xiufang Xu, Yu Liu

“…Therefore, the current research has achieved controllable chirality transfer from tripeptide to the SOFs and the enhancement of tunable NIR fluorescence, which is successfully applied in thermal responsive chiral logic gates, information encryption, and cell imaging.…”
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A Multi-Scale Fusion Convolutional Network for Time-Series Silicon Prediction in Blast Furnaces by Qiancheng Hao, Wenjing Liu, Wenze Gao, Xianpeng Wang

“…In this process, precisely controlling the temperature of the molten iron is indispensable for attaining efficient operations and high-grade products. …”
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Multiscale Water Cycle Mechanisms and Return Flow Utilization in Paddy Fields of Plain Irrigation Districts by Jie Zhang, Yujiang Xiong, Peihua Jiang, Niannian Yuan, Fengli Liu

“…Return flow utilization peaked at the field-lateral canal scales, while dynamic regulation of Fangxi Lake’s storage capacity achieved 60% reuse efficiency at the watershed scale. We propose an integrated optimization strategy combining tillering-stage irrigation/drainage control, multiscale hydraulic interception (control gates and pond weirs), and dynamic watershed storage scheduling. …”
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Nanoarchitectonics and Theoretical Evaluation on Electronic Transport Mechanism of Spin-Filtering Devices Based on Bridging Molecules by Haiyan Wang, Shuaiqi Liu, Chao Wu, Fang Xie, Zhiqiang Fan, Xiaobo Li

“…The nearly ideal spin-filtering efficiency and tunable rectification suggest potential applications in energy-efficient spintronic logic gates and non-volatile memory devices, while the methodology provides a framework for optimizing spin-dependent transport in hybrid organic–inorganic nanoarchitectures. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Heralded interconversion between hyperentangled W state and hyperentangled KLM state assisted by nitrogen vacancy centers coupled with microresonators by Fang-Fang Du, Ming Ma, Qiu-lin Tan

“…The hyperparallel quantum gates, i.e., hyperparallel controlled-not and controlled-swap gates, are fundamental prerequisites for realizing interconversions of two hyperentangled states in a deterministic way. …”
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Kolmogorov–Arnold Networks for Reduced-Order Modeling in Unsteady Aerodynamics and Aeroelasticity by Yuchen Zhang, Han Tang, Lianyi Wei, Guannan Zheng, Guowei Yang

“…To effectively capture temporal dependencies inherent in nonlinear unsteady flow phenomena, an architecture termed Kolmogorov–Arnold Gated Recurrent Network (KAGRN) is introduced. By incorporating a recurrent structure and a gating mechanism, the proposed model effectively captures time-delay effects and enables the selective control and preservation of long-term temporal dependencies. …”
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An architecture for two-qubit encoding in neutral ytterbium-171 atoms by Zhubing Jia, William Huie, Lintao Li, Won Kyu Calvin Sun, Xiye Hu, Aakash, Healey Kogan, Abhishek Karve, Jong Yeon Lee, Jacob P. Covey

“…Inspired by recent high-fidelity control of all pairs of states within this four-dimensional “ququart” space, we present a toolbox for intra-ququart (single-atom) one- and two-qubit gates, inter-ququart (two-atom) Rydberg-based two- and four-qubit gates, and quantum nondemolition (QND) readout. …”
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CNN-GRU Battery SOC Estimation Method Fused with Attention Mechanism for Electric Multiple Units by WANG Shenghui, TIAN Qin, LIU Lihao, FENG Enlai, YU Tianjian

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Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

“…The performance of this model was compared with that of the Gated Recurrent Unit (GRU) model and the ABCD water balance model. …”
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Predicting indoor temperature of solar green house by machine learning algorithms: A comparative analysis and a practical approach by Wenhe Liu, Tao Han, Cong Wang, Feng Zhang, Zhanyang Xu

“…GRU, by virtue of its more concise gating mechanism (featuring only update gates and reset gates), not only ensured high precision but also significantly improved training efficiency compared to LSTM. …”
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Towards More Automated Airport Ground Operations Including Engine-Off Taxiing Techniques Within the Auto-Steer Taxi at AIRport (ASTAIR) Project by Jérémie Garcia, Dong-Bach Vo, Anke Brock, Vincent Peyruqueou, Alexandre Battut, Mathieu Cousy, Vladimíra Čanádyová, Alexei Sharpanskykh, Gülçin Ermiş

“…The ASTAIR concept integrates human–AI teaming to optimize aircraft movement from gates to runways, with the primary objectives of improving predictability, efficiency, and environmental sustainability at large airports. …”
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