Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs by Syed Zain Ul Abideen, Abdul Wahid, Mian Muhammad Kamal

“…Our work aims to maximize secrecy rates for all users under possible eavesdropping scenarios by dynamically adjusting the RIS’s phase shifts and power allocations. This method not only shows how flexible and successful the DDPG algorithm is at protecting wireless communications when used in conjunction with an RIS but it also highlights how much the algorithm has advanced secure communication systems.…”
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Deep learning for predicting the occurrence of tipping points by Chengzuo Zhuge, Jiawei Li, Wei Chen

“…Tipping points occur in many real-world systems, at which the system shifts suddenly from one state to another. The ability to predict the occurrence of tipping points from time series data remains an outstanding challenge and a major interest in a broad range of research fields. …”
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Application of LSB Steganography for Encrypted Data Using Triple Transposition Vigenere on Digital Images by Eko Aribowo, Windy Sayyida Amalya, Nur Rochmah Dyah Puji Astuti

“…This research improves the LSB method by incorporating Vigenere and Triple Transposition algorithms. The Vigenere algorithm secures text by shifting characters based on a key, mitigating the limitations of single permutations, but it remains vulnerable to frequency analysis if the key is too short. …”
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Speech Portrait of a Mentally Unhealthy Character as a Translation Problem by E. A. Barmina, O. G. Skidan

“…This will help avoid shifts in realizing the character’s image in translation.…”
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AntBot-EX: Enhancing robot search efficiency in complex post-disaster environments. by Yao Xue, Chee Keong Tan, Wai Peng Wong

“…The inherent limitations of traditional Coverage Path Planning (CPP) algorithms, particularly their struggle to adapt to the highly dynamic and unpredictable nature of post-disaster environments characterized by collapsed structures, shifting debris fields, and unforeseen obstacles, hinder their effectiveness in time-sensitive rescue operations. …”
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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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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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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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