Generative Adversarial Network-Based Distortion Reduction Adapted to Peak Signal-to-Noise Ratio Parameters in VVC by Weihao Deng, Zhenglong Yang

“…In order to address the issues of image quality degradation and distortion that arise in the context of video transmission coding and decoding, a method based on an enhanced version of CycleGAN is put forth. …”
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Adversarial training driven malicious code detection enhancement method by Yanhua LIU, Jiaqi LI, Zhengui OU, Xiaoling GAO, Ximeng LIU, Weizhi MENG, Baoxu LIU

“…To solve the deficiency of the malicious code detector’s ability to detect adversarial input, an adversarial training driven malicious code detection enhancement method was proposed.Firstly, the applications were preprocessed by a decompiler tool to extract API call features and map them into binary feature vectors.Secondly, the Wasserstein generative adversarial network was introduced to build a benign sample library to provide a richer combination of perturbations for malicious sample evasion detectors.Then, a perturbation reduction algorithm based on logarithmic backtracking was proposed.The benign samples were added to the malicious code in the form of perturbations, and the added benign perturbations were culled dichotomously to reduce the number of perturbations with fewer queries.Finally, the adversarial malicious code samples were marked as malicious and the detector was retrained to improve its accuracy and robustness of the detector.The experimental results show that the generated malicious code adversarial samples can evade the detector well.Additionally, the adversarial training increases the target detector’s accuracy and robustness.…”
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A Polar-Coded PAPR Reduction Scheme Based On Hybrid Index Modulation by Si-Yu Zhang, Xinwei Yue, Behnam Shahrrava, Yuexia Zhang, Gongpu Wang

“…Therefore, in this paper, a polar-coded PAPR reduction scheme based on hybrid index modulation (PC-HIM) for OFDM-IM is proposed. …”
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NEURAL NETWORKS OF THE FINAL RING BASED ON THE REDUCTION SCHEME OF THE POSITION-MODULAR-CODE TRANSFORMATION by N. I. Chervyakov, A. A. Kolyada, N. A. Kolyada, V. A. Kuchukov, S. U. Protasenia

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An Ultra-Wideband Lossy Polarization Conversion Metasurface for RCS Reduction by Baoqin Lin, Wenzhun Huang, Jianxin Guo, Zuliang Wang, Kaibo Si, Xiaohua Zhou

“…In addition, the phase of its co-polarized reflection coefficients can be changed freely by the Pancharatnam-Berry phase generated by rotating its unit cell structure. When the unit cell structure is rotated by 0°, 45°, 90°, or 135°, the lossy PCM can be used as one of the four types of coding elements for a 2-bit absorptive coding metasurface (ACM). …”
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A DSL-Driven Solution and Code Generation for Accelerated Tourism Decision Support System Development by Adnane Souha, Charaf Ouaddi, Lamya Benaddi, Hamza Abdelmalek, El Mahi Bouziane, Abdeslam Jakimi

“…To address these challenges, this paper introduces a Domain-Specific Language (DSL), a graphical decision rule modeling tool, and code generation templates designed to streamline DSS development for smart tourism. …”
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Leveraging Synthetic Data for Improved Manipuri-English Code-Switched ASR by Naorem Karline Singh, Wangkheimayum Madal, Chingakham Neeta Devi, Hoomexsun Pangsatabam, Yambem Jina Chanu

“…We propose a hybrid model of transformer and pointer generation network to generate high quality code-switched sentences, by leveraging the parallel monolingual texts as input. …”
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A Modified Selected Mapping Scheme for Peak-to-Average Power Ratio Reduction in Polar-Coded Orthogonal Frequency-Division Multiplexing Systems by Chao Xing, Nixi Chen Hu, Ana García Armada

“…This paper proposes a modified polar coding-based selected mapping (PC-SLM) scheme to reduce the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems. …”
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Generative-assisted multi-stage integrated network: Tackling extreme noise in image denoisingThe source code and trained models are made publicly available at: by Taeyong Park, Muhammad Sohail Ibrahim, Minseok Kim, Zahyun Ku, Yunsang Kwak

“…These findings underscore the potential of GainNet for real-world applications in aerospace imaging, autonomous navigation, and medical diagnostics. The source code and trained models are made publicly available at https://github.com/AVIP-laboratory/Generative-assisted_multi-stage_integrated_network.…”
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Selective Notch Frequency Technology for EMI Noise Reduction in DC–DC Converters: A Review by Yasunori Kobori, Yifei Sun, Haruo Kobayashi

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Transforming Group Codes in Mealy Finite State Machines with Composite State Codes by Alexander Barkalov, Larysa Titarenko, Kamil Mielcarek

“…This block does not require group codes to generate functions, as in CSC-based FSMs. …”
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A VVC intra coding method based on fast partition for coding unit by ZHONG Hui, LU Yu, YIN Haibing, HUANG Xiaofeng

“…Compared to the high efficiency video coding (HEVC) standard, the latest generation coding standard, versatile video coding (VVC) has introduced many new technologies, including quadtree (QT) and multi-type tree (MTT) partitioning. …”
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Multimodal Cancellable Biometric Template Protection and Person Verification in Transformed Domain by Devendra Reddy Rachapalli, Venkatesulu Dondeti, Hemantha Kumar Kalluri

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Iterative Syndrome-Based Deep Neural Network Decoding by Dmitry Artemasov, Kirill Andreev, Pavel Rybin, Alexey Frolov

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Distributed Adaptive Coding Optimization for IoT Using Fulcrum Code and Model-Agnostic Meta-Learning (MAML) in Ultra-Low Latency Environments by Yair Rivera Julio, Angel Pinto, Rodrigo Garcia, Jose Aguilar, Nelson A. Perez-Garcia

“…This study proposes an adaptive distributed coding scheme combining Fulcrum Code and Model-Agnostic Meta-Learning (MAML) to optimize IoT communications in ultralow-latency environments. …”
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Mistranslating the genetic code with leucine in yeast and mammalian cells by Josephine Davey-Young, Farah Hasan, Rasangi Tennakoon, Peter Rozik, Henry Moore, Peter Hall, Ecaterina Cozma, Julie Genereaux, Kyle S. Hoffman, Patricia P. Chan, Todd M. Lowe, Christopher J. Brandl, Patrick O’Donoghue

“…Using tRNA sequencing and mass spectrometry we confirmed that each tRNALeu variant was expressed and generated mistranslation with Leu. To probe the flexibility of the entire genetic code towards Leu mis-incorporation, we created 64 yeast strains to express all possible tRNALeu anticodon variants in a doxycycline-inducible system. …”
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Behaviour Factor of Ductile Code-Designed Reinforced Concrete Frames by Massimiliano Ferraioli

“…The current generation of seismic design codes is based on a linear elastic force-based approach that includes the nonlinear response of the structure implicitly through a response modification factor (named reduction factor R in American codes or behaviour factor q in European codes). …”
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System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with... by Apostolos Apostolakis, Dimitris Barmpakos, Sofia Mavrikou, George Marios Papaionannou, Vasileios Tsekouras, Kyriaki Hatziagapiou, Eleni Koniari, Maroula Tritzali, Athanasios Michos, George P. Chrousos, Christina Kanaka-Gantenbein, Grigoris Kaltsas, Spyridon Kintzios

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Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning by Matt von Hippel, Matthias Wilhelm

“…We use funsearch, a genetic programming variant based on code generation by a Large Language Model, in order to explore possible approaches, then use strongly typed genetic programming to zero in on useful solutions. …”
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Induced zero-phase synchronization as a potential neural code for optimized visuomotor integration by Kirstin-Friederike Heise, Geneviève Albouy, Nina Dolfen, Ronald Peeters, Dante Mantini, Stephan P. Swinnen

“…Expectations (or ‘internal models’) are generated from prior knowledge and constantly updated based on sensory feedback. …”
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