Machine learning Hubbard parameters with equivariant neural networks by Martin Uhrin, Austin Zadoks, Luca Binci, Nicola Marzari, Iurii Timrov

“…Abstract Density-functional theory with extended Hubbard functionals (DFT + U + V) provides a robust framework to accurately describe complex materials containing transition-metal or rare-earth elements. …”
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Cartoon Image Encryption Algorithm by a Fractional-Order Memristive Hyperchaos by Shu-ying Wang, Jian-feng Zhao, Xiao-yan Wang, Li-tao Zhang

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Sub-bandgap charge harvesting and energy up-conversion in metal halide perovskites: ab initio quantum dynamics by Bipeng Wang, Weibin Chu, Yifan Wu, Wissam A. Saidi, Oleg V. Prezhdo

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Adaptive micro partition and hierarchical merging for accurate mixed data clustering by Yunfan Zhang, Rong Zou, Yiqun Zhang, Yue Zhang, Yiu-ming Cheung, Kangshun Li

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Evaluating Affective User-Centered Design of Video Games Using Qualitative Methods by Yiing Y’ng Ng, Chee Weng Khong, Robert Jeyakumar Nathan

“…In recent years, researchers and practitioners in the human-computer interaction (HCI) community have placed a lot of focus in developing methods and processes for use in the gaming field. …”
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Behavior Intention Derivation of Android Malware Using Ontology Inference by Jian Jiao, Qiyuan Liu, Xin Chen, Hongsheng Cao

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A study on fuzzy cognitive maps using fuzzy inference system by Appasamy Saraswathi, Seyyed Edalatpanah, Sanaz Hami Hassan Kiyadeh

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Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses by Yunjian Zhang, Zhenmiao Deng, Jianghong Shi, Linmei Ye, Maozhong Fu, Chen Zhao

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Preventive Control Strategy of Cascading Fault considering Safety and Economy by Hui-Qiong Deng, Jie Luo, Chen-Chen Li, Pei-Qiang Li, Rong-Jin Zheng

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Kansei Analysis of the Japanese Residential Garden and Development of a Low-Cost Virtual Reality Kansei Engineering System for Gardens by Tatsuro Matsubara, Shigekazu Ishihara, Mitsuo Nagamachi, Yukihiro Matsubara

“…The results of the analyses were used to create a low-cost virtual reality Kansei engineering system that permits visualization of garden designs corresponding to selected Kansei words. To render complex garden scenes, we developed an original 3D computation and rendering library built on Java. …”
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Multiagent Systems as an Approach to Building Fuzzy voter Communities using fuzzy languages by Milambu Belangany, Pierre Kasengadia Motumbe, Eugène Mbuyi Mukendi

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Automated Probabilistic System Architecture Analysis in the Multi-Attribute Prediction Language (MAPL): Iteratively Developed using Multiple Case Studies by Robert Lagerström, Pontus Johnson, Mathias Ekstedt, Ulrik Franke, Khurram Shahzad

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Ways to improve the accuracy of the harmonic method for simulating two-dimensional signals by V.V. Syuzev, A.V. Proletarsky, D.A. Mikov, I.I. Deykin

“…The article studies properties of the harmonic simulation method within the framework of the spectral theory and evaluates the quality of this method. A review of the literature on the existing methods for modeling multidimensional random fields is carried out, making it possible to compare these methods using criteria such as the complexity of the algorithm, computational costs and memory requirements, requirements for the covariance function and the grid. …”
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Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion by Raul Criado, Wantao Li, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

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Multiaircraft Optimal 4D Trajectory Planning Using Logical Constraints by Dinesh B. Seenivasan, Alberto Olivares, Ernesto Staffetti

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Generalizing the Brady-Yong Algorithm: Efficient Fast Hough Transform for Arbitrary Image Sizes by Danil D. Kazimirov, Ekaterina O. Rybakova, Vitalii V. Gulevskii, Arseniy P. Terekhin, Elena E. Limonova, Dmitry P. Nikolaev

“…Thus, supported both by theory and experiments, generalization of the Brady-Yong algorithm for images of arbitrary size while maintaining asymptotic computational complexity and acceptable accuracy remains of paramount necessity. …”
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Notes on Post-criticality: Towards an Architecture of Reflexive Modernisation by Robert Cowherd

“…To what extent can considerations of political economy, culture, globalisation, and environmental crisis be translated into the explicit performance criteria and computational parameters? What role is there for tools forged in the fires of ‘critical architecture’ in the emerging architectural creativity increasingly characterised by complexity, provisional outcomes, and unpredictable form?…”
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LDPC code reconstruction based on algorithm of finding low weight code-words by Pei-dong YU, Hua PENG, Ke-xian GONG, Ze-liang CHEN

“…LDPC code reconstruction without a candidate set is one of the tough problems in channel code reconstruction.First,theoretical analysis was provided for the number of received code-vectors needed for the reconstruction,and a lower bound was derived.Then,according to the lower bound,and based on an algorithm for finding low weight code-words,a new reconstruction method was proposed.It looked for low weight vectors one by one from the dual space of the received code-vector space and used them to reconstruct the sparse parity-check matrices.Number of iterations and the computational complexity of the method were analyzed based on exponential distribution theory.Under noise-free conditions,drawbacks of the existing method,including limited applicable range and large quantity of required data,have been overcame.Under noisy conditions,the proposed method has higher robustness against noise and relatively low complexity,compared to existing methods.For QC-LDPC codes,the reconstruction performance can be further improved using the quasi-cyclic property of their sparse parity-check matrices.…”
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Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach by Takayuki Sasaki, Kazuya Hayase, Masaki Kitahara, Shunsuke Ono

“…These include developing an algorithm grounded in theory, not heuristics, reducing computational complexity, enabling the automatic determination of numerous parameters, and ensuring the number of iterations remains feasible. …”
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Multi-label feature selection algorithm based on joint mutual information of max-relevance and min-redundancy by Li ZHANG, Cong WANG

“…Feature selection has played an important role in machine learning and artificial intelligence in the past decades.Many existing feature selection algorithm have chosen some redundant and irrelevant features,which is leading to overestimation of some features.Moreover,more features will significantly slow down the speed of machine learning and lead to classification over-fitting.Therefore,a new nonlinear feature selection algorithm based on forward search was proposed.The algorithm used the theory of mutual information and mutual information to find the optimal subset associated with multi-task labels and reduced the computational complexity.Compared with the experimental results of nine datasets and four different classifiers in UCI,the proposed algorithm is superior to the feature set selected by the original feature set and other feature selection algorithms.…”
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