Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors by N. Sriraam

“…In either the urgent treatment or ordinary healthcare, it is necessary to compress these signals for the efficient use of bandwidth. This paper discusses a quality on demand compression of EEG signals using neural network predictors for telemedicine applications. …”
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Transformers—Messages in disguise by Joshua H. Tyler, Donald R. Reising, Mohamed M.K. Fadul

“…RANDOM is computationally efficient, can generate a new cryptographic mapping in 16 s, ensures the encrypted message is unique to the encryption key, does not induce any communication overhead, requires around 100 Kb of memory, and provides up to 2.5 Mb/s of end-to-end encrypted communication.…”
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High-throughput calculations of spin Hall conductivity in non-magnetic 2D materials by Jiaqi Zhou, Samuel Poncé, Jean-Christophe Charlier

“…We discover that Y2C2I2 has an unconventional SHE with canted spin due to low crystal symmetry, Ta4Se2 is a metallic monolayer with exceptionally high SHC, and the semi-metal Y2Br2 possesses efficient charge-to-spin conversion induced by anti-crossing in bands. …”
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TreeBASIS Feature Descriptor and Its Hardware Implementation by Spencer Fowers, Alok Desai, Dah-Jye Lee, Dan Ventura, James Archibald

“…To facilitate real-time implementation, a feature region image is binary quantized and the resulting quantized vector is passed into the BASIS vocabulary tree. …”
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Lexical Error Guard: Leveraging Large Language Models for Enhanced ASR Error Correction by Mei Si, Omar Cobas, Michael Fababeir

“…Additionally, a parameter-efficient fine-tuning method is utilized using quantized low-rank adaptation (QLoRA) to facilitate fast training of the system. …”
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Key Considerations for Real-Time Object Recognition on Edge Computing Devices by Nico Surantha, Nana Sutisna

“…This review paper introduces how artificial intelligence (AI) can be integrated with edge computing to enable efficient and scalable object recognition applications. …”
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QSA-QConvLSTM: A Quantum Computing-Based Approach for Spatiotemporal Sequence Prediction by Wenbin Yu, Zongyuan Chen, Chengjun Zhang, Yadang Chen

“…Ablation studies further verify the effectiveness and necessity of the quantum convolution circuits and quantum self-attention modules, providing an efficient and accurate approach to quantized modeling for spatiotemporal prediction tasks.…”
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Evaluating a Hybrid LLM Q-Learning/DQN Framework for Adaptive Obstacle Avoidance in Embedded Robotics by Rihem Farkh, Ghislain Oudinet, Thibaut Deleruyelle

“…A selective triggering mechanism ensures efficient LLM intervention, minimizing computational overhead. …”
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Discontinuity method for evaluating scattering amplitudes within the worldline formalism by Victor Miguel Banda Guzmán

“…As a result, a collection of worldline master integrals has been derived within this approach. However, efficient mathematical tools for evaluating these integrals remain limited. …”
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Unidirectional electric field enables reversible ferroelectric domain engineering by Xingan Jiang, Muzhi Li, Yuanyuan Cui, Xiao Wu, Zunyi Deng, Xiangping Zhang, Jianming Deng, Xiaolei Wang, Dongdong Zhang, Xiangdong Yang, Zhuoyin Peng, Zhao Liang, Xueyun Wang, Weiyou Yang

“…The present work demonstrates the efficient reversible and cyclic ferroelectric domain switching under a unipolar electric field in van der Waals ferroelectric CuInP2S6, enabled by Cu-ion migration across van der Waals gaps. …”
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EMISSION PROCESSES OF QUANTUM WELL INTERACTION WITH DELTA-LAYER IN pHEMT-HETEROSTRUCTURES by Yana V. Ivanova, George E. Yakovlev, Vasily I. Zubkov

“…The optimum distance between QW and delta-layer providing the most efficient charge carrier delivery to quantum well is found. …”
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Sloped Terrain Segmentation for Autonomous Drive Using Sparse 3D Point Cloud by Seoungjae Cho, Jonghyun Kim, Warda Ikram, Kyungeun Cho, Young-Sik Jeong, Kyhyun Um, Sungdae Sim

“…A sparse 3D point cloud can be acquired by scanning the geography using light detection and ranging (LiDAR) sensors. For efficient ground segmentation, 3D point clouds are quantized in units of volume pixels (voxels) and overlapping data is eliminated. …”
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Artificial Intelligence on the Identification of Beiguan Music by Yu-Hsin CHANG, Shu-Nung YAO

“…The advantages of this method include improving data processing efficiency, fast MIR, and evoking possible musical connections from the high-relation result of statistical analyses.…”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

“…Our objective is to further develop FFDNet into a robust, efficient, and widely applicable tool for flame detection, thereby providing significant technical support for fire prevention and response initiatives.…”
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Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…Harmonizer employs a unified approach to convert diverse, non-linguistic signals into discrete tokens via its FusionQuantizer architecture, built on FluxFormer, to efficiently capture essential signal features while minimizing complexity. …”
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GA-VAE: Enhancing Local Feature Representation in VQ-VAE Through Genetic Algorithm-Based Token Optimization by Jinghui Jiang, Dongjoon Kim, Bohyoung Kim, Yeong-Gil Shin

“…This paper introduces GA-VAE, a fine-tuning framework that enhances local feature representation in pre-trained Vector Quantized-VAE (VQ-VAE) models through genetic algorithm-based optimization. …”
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Predicting Overload Risk on Plasma-Facing Components at Wendelstein 7-X from IR Imaging Using Self-Organizing Maps by Giuliana Sias, Emanuele Corongiu, Enrico Aymerich, Barbara Cannas, Alessandra Fanni, Yu Gao, Bartłomiej Jabłoński, Marcin Jakubowski, Aleix Puig Sitjes, Fabio Pisano, W7-X Team

“…The analysis showed that Self-Organizing Maps (SOMs) are efficient in detecting the overload risk starting from a set of plasma parameters that describe the magnetic configuration, the energy behavior, and the power balance. …”
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Space-Time Finite Element Tensor Network Approach for the Time-Dependent Convection–Diffusion–Reaction Equation with Variable Coefficients by Dibyendu Adak, Duc P. Truong, Radoslav Vuchkov, Saibal De, Derek DeSantis, Nathan V. Roberts, Kim Ø. Rasmussen, Boian S. Alexandrov

“…The effectiveness of the proposed method, in terms of memory efficiency and computational complexity, is demonstrated through a series of numerical experiments, including a semi-linear example.…”
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An applied noise model for scintillation-based CCD detectors in transmission electron microscopy by Christian Zietlow, Jörg K. N. Lindner

“…Detectors usually suffer from gain non-linearities and quantum efficiency deviations, which must be corrected for optimal results. …”
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Two Images Watermarking by using Exponent Fourier Moments by LIU Xilin, HE Xianhao, ZHANG Hao, YUE Junhong, CHEN Zehua

“…Embedding a watermark into two images at one time is suggested to improve the efficiency of the watermarking procedure. [Methods] First, the two original images were combined together through complex representation, then the watermark was embedded by quantizing the magnitudes of the Exponent Fourier moments of the combined image, and the watermarked combined image was obtained by adding the combined image with the compensation image the was generated by reconstructing image from the modified Exponent Fourier moments. …”
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