Measurement noise covariance estimation in Gaussian filters: an online Bayesian solution by Gerald LaMountain, Jordi Vilà-Valls, Pau Closas

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Hierarchical GraphCut Phase Unwrapping Based on Invariance of Diffeomorphisms Framework by Xiang Gao, Xinmu Wang, Zhou Zhao, Junqi Huang, Xianfeng David Gu

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Detection and localization of copy-move tampering along with adversarial attack in a digital image by Anjali Diwan, Anil K. Roy

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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

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Rancang Bangun Sistem Informasi Akademik Berbasis Website Dengan Metode SDLC by Wati Erawati, Sujiliani Heristian, Rachmat Adi Purnama

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Task-aware image quality estimators for face detection by Praneet Singh, Amy R. Reibman

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Incremental mining of periodic patterns of inadequately informed communication data based on fuzzy segmentation of time series by Miaomiao Li

“…The experimental results show that in terms of data dimensionality reduction, the time series of communication data with insufficient original high-dimensional information is downgraded to within 0.4 times of the original dimensionality, indicating that the proposed method successfully compresses the original high-dimensional data into a low-dimensional space, effectively reducing the computational complexity and improving the data processing speed. …”
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Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

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Penerapan Algoritma K-Means Clustering Untuk Mengetahui Kemampuan Karyawan IT by Dina Zakiyah, Nita Merlina, Nissa Almira Mayangky

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Multidimensional Polynomial Phase Estimation by Heedong Do, Namyoon Lee, Angel Lozano

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Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification by S. Radhika, G. Sharada

“…To overcome this problem, Quantum Hippo Optimized Convolution Neural Network (QHO-CNN) has been proposed to homogenize the quantum computations on classical computers which can effectively diagnose lung cancers with the high-speed computations. …”
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A Drop-in Replacement for LR(1) Table-Driven Parsing by Michael Oudshoorn

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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

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A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation by Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding, Iroro Orife, Aaron J. Hipple, Phillip A. Williams, Scott Kramer, Alexander Lerch, William Wolcott

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Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

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MASIP: A Methodology for Assets Selection in Investment Portfolios by José Purata-Aldaz, Juan Frausto-Solís, Guadalupe Castilla-Valdez, Javier González-Barbosa, Juan Paulo Sánchez Hernández

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In Silico Knockout Studies of Xenophagic Capturing of Salmonella. by Jennifer Scheidel, Leonie Amstein, Jörg Ackermann, Ivan Dikic, Ina Koch

“…The degradation of cytosol-invading pathogens by autophagy, a process known as xenophagy, is an important mechanism of the innate immune system. …”
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Traceability, reproducibility and wiki-exploration for "à-la-carte" reconstructions of genome-scale metabolic models. by Méziane Aite, Marie Chevallier, Clémence Frioux, Camille Trottier, Jeanne Got, María Paz Cortés, Sebastián N Mendoza, Grégory Carrier, Olivier Dameron, Nicolas Guillaudeux, Mauricio Latorre, Nicolás Loira, Gabriel V Markov, Alejandro Maass, Anne Siegel

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Capturing Global Structural Features and Global Temporal Dependencies in Dynamic Social Networks Using Graph Convolutional Networks for Enhanced Analysis by Ling Wu, Boen Li, Kun Guo, Qishan Zhang

“…Specifically, we innovatively design a graph coarsening strategy based on the importance of social membership to construct a dynamic diffusion process of graphs. This dynamic diffusion process can be viewed as using higher-order subgraph embeddings to guide the generation of lower-order subgraph embeddings, and we model this process using gate recurrent unit (GRU) to extract comprehensive global structural features of the graph and the evolutionary processes embedded among subgraphs. …”
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A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications by Yumin Zhang, Yanyong Wang

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