Efficient and Stable Learning for Distribution Network Operation: A Model-Based Reinforcement Learning Approach by Dong Yan, Zhan Shi, Xinying Wang, Yiying Gao, Tianjiao Pu, Jiye Wang

“…This study introduces a reward evaluation system to assess the effectiveness of various strategies and proposes an enhanced algorithm based on the Model-based DRL approach. Incorporating a state transition model, the proposed algorithm augments data and enhances dynamic deduction, improving training efficiency. …”
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Causal emissions factor benchmarks during contingent nuclear outages by Pierre Christian, Joel Cofield, Sam Koebrich, Gavin McCormick

“…Further, none of these algorithms have been tested in situations where the changes in load is large, as is typical in the load-shifting context. …”
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Detecting and Mitigating Wind Turbine Clutter for Airspace Radar Systems by Wen-Qin Wang

“…To resolve this problem, efficient techniques or algorithms should be developed to mitigate the effects of wind farms on radars. …”
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Multistable Physical Neural Networks by Ben‐Haim Eran, Givli Sefi, Or Yizhar, Gat D. Amir

“…Building on these maps, both global and local algorithms for training multistable PNNs are implemented. …”
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Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach by Zekang Lan, Shiwei He, Rui Song, Sijia Hao

“…In practice, vehicle scheduling is planned on a variable timetable so that the departure times of trips can be shifted in tolerable ranges, rather than on a fixed timetable, to decrease the required fleet size. …”
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An objective measure for assessing the quality of contrast enhancement on magnetic resonance images by Simi Venuji Renuka, Damodar Reddy Edla, Justin Joseph

“…Post-processing algorithms like histogram equalization and its variants have been widely employed to enhance the contrast of Magnetic Resonance (MR) images. …”
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Tafsir Digital: Antara Adaptasi dan Krisis Otoritas Keagamaan by Dina Istiqomah, Muhammad Rusidi, Opi Yensi

“…However, there is a significant shift in authority, from classical scholarly lineage (sanad) to algorithmic authority, where popularity and engagement metrics determine legitimacy. …”
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Hardware and Software Synthesis of Heterogeneous Systems from Dataflow Programs by Ghislain Roquier, Endri Bezati, Marco Mattavelli

“…Experimental results based on the implementation of several video coding algorithms onto heterogeneous platforms are also provided to show the effectiveness of the approach both in terms of portability and scalability.…”
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Toward Intelligent Fading Channel Prediction: A Comprehensive Survey by Ramoni Adeogun

“…We place a significant emphasis on the shift towards machine learning techniques, which offer a promising avenue for enhancing prediction accuracy and operational efficiency. …”
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Future Era of Accountants under the Impact of AI by Guan Ran

“…Yet, concerns persist regarding job displacement, data security, and algorithmic bias. Regulatory bodies are updating IFRS, GAAP, and GDPR to address AI-related risks in financial reporting. …”
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Deep Reinforcement Learning-Based Attention Decision Network for Agile Earth Observation Satellite Scheduling by Dongning Liu, Guanghui Zhou

“…Moreover, a start-time-shift-based local search is proposed to improve the observation plan generated by the ADN model. …”
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Migration Using a Transversely Isotropic Medium with Symmetry Normal to the Reflector Dip by Tariq Alkhalifah, Paul Sava

“…Phase-shift migration can be easily extended to approximately handle lateral inhomogeneity using, for example, the split-step approach. …”
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Reverse Geomancy: The Spatial Patterns Between Jimei Ancestral Halls and Their Surrounding Environment by Congjian Yin, Jun Shan

“…Additionally, spatial distribution features such as building orientation were significantly associated with traditional Feng Shui principles (validated by a “shift half-division” irregularity ratio > 1). This study further demonstrated that within the cultural context of southern Fujian, these mathematical findings could be explained by Feng Shui theories or practical conditions.…”
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Research on the Application of Artificial Intelligence in Quantitative Investment: Implementation Scenarios, Practical Challenges, and Future Trends by Chen Boshan

“…This research provides a systematic framework for understanding the paradigm shift in quantitative investment driven by AI, while offering practical references for institutional investors, individual users, and regulatory bodies.…”
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Hybrid secure beamforming and vehicle selection using hierarchical agglomerative clustering for C-RAN-based vehicle-to-infrastructure communications in vehicular cyber-physical sys... by Dongyang Xu, Pinyi Ren, Qinghe Du, Li Sun

“…Simulation results verify the effectiveness of the proposed algorithms in the respect of secrecy sumrate compared with the conventional zero-forcing beamforming using semi-orthogonal user selection algorithms. …”
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Detection of Montage in Lossy Compressed Digital Audio Recordings by Rafał KORYCKI

“…The minimum values of total number of active MDCT coefficients occur for frame shifts equal to multiplications of applied window length. …”
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On the Accuracy of RAS Method in an Emergent Economy by Emilian Dobrescu, Viorel Gaftea

“…Testing the RAS algorithm on such a volatile framework is a notable search challenge. …”
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Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning by Ickbum Kim, Sandeep Singh

“…Abstract The extension of human spaceflight across an ever-expanding domain, in conjunction with intricate mission architectures demands a paradigm shift in autonomous navigation algorithms, especially for the powered descent phase of planetary landing. …”
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School-level prediction and management of myopia in children and adolescents by Shengsong Xu, Linling Li, Yingting Zhu, Zhenbang Ruan, Yiwen Qu, Zhuandi Zhou, Yin Hu, Zhidong Li, Fei Hou, Xiaohua Zhuo, Yunxia Leng, Xuelin Huang, Yamei Lu, Zhirong Wang, Shuifeng Deng, Yehong Zhuo, Guoming Zhang, Min Fu, Xiao Yang

“…The interactions between age and other variables were revealed by the algorithms, and hence the final prediction models were established based on age segmentation. …”
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Shoe configuration effects on equine forelimb gait kinetics at a walk by Rita Aoun, Zaneta Ogunmola, Anaïs Musso, Takashi Taguchi, Catherine Takawira, Mandi J. Lopez

“…The shift in vertical forces on the equine hoof surface by heart-bar, egg-bar, and wooden clog shoes can significantly impact gait kinetics. …”
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