The Reliability of a Class of Two-Layer Networks with Unreliable Edges by Sun Xie, Haixing Zhao, Jun Yin

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The general intelligence of GPT–4, its knowledge diffusive and societal influences, and its governance by Mohammad Mahdi Jahani Yekta

“…Recent breakthroughs in artificial intelligence (AI) research include advancements in natural language processing (NLP) achieved by large language models (LLMs), and; in particular, generative pre–trained transformer (GPT) architectures. …”
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Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models by Su Myat Thwin, Hyun-Seok Park

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Optimisation of hardware setups for time-efficient HEC-RAS simulations by Ramtin Sabeti, Thomas Rodding Kjeldsen, Ioanna Stamataki, Babak Rahi

“…This result questions the usual assumptions about the need for greater computational power and emphasises the value of carefully optimising hardware for fast hydraulic modelling.…”
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Wideband Cooperative Localization Through Generalized Cross-Correlation by Andreas Fuchs, Lukas Wielandner, Klaus Witrisal

“…Alternatively, the algorithm uses a computationally efficient method based on perceptual hashing, a signal compression algorithm adapted from image-processing, which gives a distance-dependent metric between nodes. …”
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Density uncertainty quantification with NeRF-Ensembles: Impact of data and scene constraints by Miriam Jäger, Steven Landgraf, Boris Jutzi

“…In the fields of computer graphics, computer vision and photogrammetry, Neural Radiance Fields (NeRFs) are a major topic driving current research and development. …”
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Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency by X. Little Flower, S. Poonguzhali

“…The extracted features underwent pre-processing and selection using both filter-based and wrapper-based techniques. …”
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A Comprehensive Study on the Different Approaches of the Symmetric Difference in Nilpotent Fuzzy Systems by Luca Sára Pusztaházi, György Eigner, Orsolya Csiszár

“…The primary theoretical contribution of our research is establishing the associativity of this new aggregated operator, significantly enhancing its effectiveness for consistent multi-stage computations. Moreover, this operator retains critical properties including symmetry, neutrality, antitonicity, and invariance under negation, thus making it particularly valuable for various computational and applied domains such as image processing, pattern recognition, fuzzy neural networks, cryptographic schemes, and medical data analysis. …”
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A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments by Junchi Zhang, Yanning Xian, Xun Zhu, Hongtao Deng

“…However, the commonly used Rapidly-exploring Random Tree (RRT) algorithm for UAV path planning often generates suboptimal paths that require extensive post-processing to improve. While its variants can converge to the optimal solution, they suffer from more memory and computation consumption. …”
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Linear attention based spatiotemporal multi graph GCN for traffic flow prediction by Yanping Zhang, Wenjin Xu, Benjiang Ma, Dan Zhang, Fanli Zeng, Jiayu Yao, Hongning Yang, Zhenzhen Du

“…LASTGCN incorporates a Multifactor Fusion Unit (MFF-unit) to dynamically integrate meteorological factors, an advanced multi-graph convolutional network for spatial correlations, and the Receptance Weighted Key Value (RWKV) block, which employs a linear attention mechanism for efficient processing of historical traffic data.The model achieves computational efficiency by using RWKV, which offers advantages over Transformer-based models in handling large-scale data while capturing complex dependencies. …”
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Surfaces Modelling Using Isotropic Fractional-Rational Curves by Igor V. Andrianov, Nataliia M. Ausheva, Yuliia B. Olevska, Viktor I. Olevskyi

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Metasurface enabled broadband, high numerical aperture Laplace differentiator under multiple polarization illumination by Chen Zhou, Naseer Muhammad, Ruizhe Zhao, Yanjie Chen, Guangzhou Geng, Junjie Li, Xiaowei Li, Xin Li, Yongtian Wang, Lingling Huang

“…Our work will pave the way for free-space realization of high-efficiency, broadband parallel optical-computation and image-processing in machine-vision, biomedical, and optical microscopy.…”
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Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks by Haitao Liu, Yunfan Xu, Yuefeng Qi, Haosong Yang, Weihong Bi

“…Distributed Acoustic Sensing (DAS) systems face increasing challenges in massive data processing and real-time fault diagnosis due to the growing complexity of industrial environments and data volume. …”
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New joint estimation method for emissivity and temperature distribution based on a Kriged Marginalized Particle Filter: Application to simulated infrared thermal image sequences by Thibaud Toullier, Jean Dumoulin, Laurent Mevel

“…The results indicate that the proposed method estimates the true value within a maximum deviation of 3K, similar to CMA-ES, while MCMC achieves a more accurate estimate with a maximum deviation of 0.5K. However, the computational efficiency of the proposed method is significantly improved, reducing the processing time by seven orders of magnitude compared to MCMC and three orders of magnitude compared to CMA-ES. …”
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Efficient and Accurate Calibration of Discrete Element Method Parameters for Black Beans by Xuezhen Wang, Qinghang Zhai, Shihao Zhang, Qianwen Li, Hanmi Zhou

“…., 12 s) of repose angles should be determined when kinetic energy reaches the minimal threshold (1 × 10⁻⁶ J) to efficiently and accurately obtain repose angles; too early or too late a measurement can result in inaccurate repose angles or excessive computation time of the computer, respectively. The lifting speed and cylinder radius affected the lateral displacements of BLBs and came at the cost of higher computation time and memory usage. …”
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Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach by Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam

“…Traditional methods are computationally intensive and often hindered by noise in seismic data. …”
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A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation by Qingxu Meng, Weijiang Wang, Hang Qi, Hua Dang, Minli Jia, Xiaohua Wang

“…Convolutional neural networks (CNNs) perform extremely well in processing local detailed features. However, there restricted receptive field renders them incapable of capturing global context information. …”
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EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

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Temporal acuity of vision decreases with eccentricity in virtual reality and is associated with schizotypy by Francois R. Foerster, Anne Giersch, Paola Agalliu, Axel Cleeremans

“…Topographic maps were computed to visualize asynchrony discrimination skills across the visual space in two different (natural and artificial) static virtual environments. …”
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How do voice acoustics affect the perceived trustworthiness of a speaker? A systematic review by Constantina Maltezou-Papastylianou, Constantina Maltezou-Papastylianou, Reinhold Scherer, Silke Paulmann

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