Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The proposed algorithms can classify an image efficiently as either copy-move forged or authenticated, even if the test image is subjected to attacks such as JPEG compression, scaling, rotation, and brightness variation. …”
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One-Shot Learning from Prototype Stock Keeping Unit Images by Aleksandra Kowalczyk, Grzegorz Sarwas

“…Traditional methods require large supervised datasets to train deep neural networks, which can be costly and impractical. …”
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A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining by Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum

“…One of the quickest, practical, and affordable methods of disease detection is Data Mining DM, an artificial intelligence AI technology. …”
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Effects of track and rolling stock interaction on track condition and maintenance by Oleg A. Suslov

“…The analysis of distribution parameters showed large variation (45–55% for average values and up to 300 % for dispersions). …”
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Enhanced biofuel production from Nannochloropsis sp. via microwave-assisted extraction in-Situ transesterification using CaO/hydrotalcite catalyst by Yustia Wulandari Mirzayanti, Erlinda Ningsih, Achmad Chusnun Ni'am, Muhammad Al-Muttaqii, Aditya Awaludin, Ilham Mario Sukono, Ichsya Nudin Noorsy, Nyoman Puspa Asri, Jia-Ming Chern, Zuhdi Ma'sum

“…The increasing demand for renewable energy has driven the exploration of efficient and sustainable biofuel production methods. …”
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Grating Coupler Design for Low-Cost Fabrication in Amorphous Silicon Photonic Integrated Circuits by Daniel Almeida, Paulo Lourenço, Alessandro Fantoni, João Costa, Manuela Vieira

“…The designed grating couplers achieve coupling efficiencies for the TE-like mode over −8 dB (mask overlap) and −3 dB (quadratic variation), at a wavelength of 1550 nm. …”
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How do University Experiences Contribute to Students’ Psychological Wellbeing? by Abi Brooker, Catherine Vu

“…As such, educators need clear empirical evidence of the aspects of university life that contribute to students’ wellbeing. We use a mixed-methods approach to ask whether and how students’ diverse university experiences contribute to their self-rated wellbeing. …”
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Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for <italic>In Silico</italic> Clinical Trials by Vasileios C. Pezoulas, Nikolaos S. Tachos, George Gkois, Iacopo Olivotto, Fausto Barlocco, Dimitrios I. Fotiadis

“…<italic>Goal</italic>: To develop a computationally efficient and unbiased synthetic data generator for large-scale <italic>in silico</italic> clinical trials (CTs). …”
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Simultaneous Incomplete Traffic Data Imputation and Similarity Pattern Discovery with Bayesian Nonparametric Tensor Decomposition by Yaxiong Han, Zhaocheng He

“…Furthermore, we develop an efficient variational inference algorithm to learn the model. …”
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Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians by Riccardo Rende, Luciano Loris Viteritti, Federico Becca, Antonello Scardicchio, Alessandro Laio, Giuseppe Carleo

“…Unlike specialized architectures tailored for individual Hamiltonians, FNQS can generalize to physical Hamiltonians beyond those encountered during training, offering a unified framework adaptable to various quantum systems and tasks. FNQS enable the efficient estimation of quantities that are traditionally challenging or computationally intensive to calculate using conventional methods, particularly disorder-averaged observables. …”
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Heritability of malaria in Africa. by Margaret J Mackinnon, Tabitha W Mwangi, Robert W Snow, Kevin Marsh, Thomas N Williams

“…Twenty-four percent and 25% of the total variation in these outcomes was explained by additively acting host genes, and household explained a further 29% and 14%, respectively. …”
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Analysis and evaluation of fruit traits of 106 white-flesh loquat germplasm resources by CHEN Xiuping, JIANG Jimou, DENG Chaojun, XU Qizhi, SU Wenbing

“…Lindl.] resources as well as parent selection for breeding new variety through the investigation of diversity and correlation of main fruit traits of white-flesh loquat germplasm resources. [Methods] 106 white-flesh loquat resources conserved in the National Longan and Loquat Germplasm Resources Nursery (Fuzhou) were used, and ten fruit traits were measured, then coefficient of variation, correlation analysis and principal component analysis were performed among these traits. …”
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Least-squares Smoothed Shape Functions for Constructing Field-Consistent Timoshenko Beam Elements by Foek Tjong Wong, Henokh G. Tjahyono, Sugiyono Hartono, Timothy A. Setiabudi

“…The LSS shape function approach offers a practical and efficient alternative for achieving field consistency in Timoshenko beam elements, with potential applications in enhanced finite element methods (FEMs) such as isogeometric FEM and Kriging-based FEM. …”
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Data Augmentation for Improving Convergence Speed in Federated Sequential Recommendation System by Donghoon Lee, Hyunsouk Cho

“…We aim to systematically evaluate six data augmentation methods and their effectiveness in mitigating statistical heterogeneity for efficient federated sequential recommendation. …”
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Annealed Importance Sampling for Neural Mass Models. by Will Penny, Biswa Sengupta

“…To date, however, Bayesian methods have been largely restricted to the Variational Laplace (VL) algorithm which assumes that the posterior distribution is Gaussian and finds model parameters that are only locally optimal. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Standard methods are based on the square roots of exponential estimates of the moments of the squares of past gradients and do not use the local variation in gradients. …”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…Overall, quantitative analysis and visual experiments confirmed that the proposed model is more efficient and superior to other state-of-the-art methods, with a 95.18% F1 score on the WHU dataset and a 93.29% F1 score on the Massub dataset.…”
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Knowledge and theme discovery across very large biological data sets using distributed queries: a prototype combining unstructured and structured data. by Uma S Mudunuri, Mohamad Khouja, Stephen Repetski, Girish Venkataraman, Anney Che, Brian T Luke, F Pascal Girard, Robert M Stephens

“…In order to achieve useful results, researchers require methods that consolidate, store and query combinations of structured and unstructured data sets efficiently and effectively. …”
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Lessons from national biobank projects utilizing whole-genome sequencing for population-scale genomics by Hyeji Lee, Wooheon Kim, Nahyeon Kwon, Chanhee Kim, Sungmin Kim, Joon-Yong An

“…We then introduce recent technological advances that enable efficient processing and analysis of large-scale WGS data, including improvements in variant calling algorithms, innovative methods for creating multi-sample VCFs, optimized data storage formats, and cloud-based computing solutions. …”
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Inference of population structure using dense haplotype data. by Daniel John Lawson, Garrett Hellenthal, Simon Myers, Daniel Falush

“…The advent of genome-wide dense variation data provides an opportunity to investigate ancestry in unprecedented detail, but presents new statistical challenges. …”
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