TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…Adopting Unreal Engine 5, TACO integrates differentiable rendering with a Photorealistic Rendering Network to optimize adversarial textures targeted at YOLOv8. To ensure the generated textures are both effective in deceiving detectors and visually plausible, we introduce the Convolutional Smooth Loss function, a generalized smooth loss function. …”
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The value of experience: A historical sociology of data‑driven health care systems by Tiago Moreira

“…One of the key expectations associated with health data is their potential ability to make health systems more reactive, adaptable (“smart”) and efficient by integrating patient generated information into the digital infrastructure of these systems. …”
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Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment by Sergio A. C. Bezerra, Sergio A. C. Bezerra Junior, Jose L. De S. Pio, Jose R. H. Carvalho, Keiko V. O. Fonseca

“…Initially, luminance and chrominance maps are generated after the reduction and spatial color conversion applied to the input images. …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…The proposed approach requires fewer than 150 human interactions, while the typical method needs more than 1 200 interactions to generate the NC process for subparts. …”
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Estimation of surface duct parameters using AIS data based on Bayesian inversion method by Hong-Guang Wang, Li-Jun Zhang, Jie Han, Li-Feng Huang, Qing-Lin Zhu

“…Directly utilizing historical samples and LHS-generated samples for Bayesian inversion can consistently and accurately yield results with an elevated-surface duct, with the latter being slightly more accurate than the former. …”
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Quantum Universally Composable Oblivious Linear Evaluation by Manuel B. Santos, Paulo Mateus, Chrysoula Vlachou

“…We also generalize our protocol to achieve vector oblivious linear evaluation, where several instances of oblivious linear evaluation are generated, thus making the protocol more efficient. …”
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Anti-ADAMTS13 Autoantibodies in Immune-Mediated Thrombotic Thrombocytopenic Purpura by Michael R. Snyder, Robert W. Maitta

“…In particular, specific amino acid sequences in ADAMTS13 may lead to conformational structures recognized by autoantibodies. Generation of these antibodies may occur more frequently among patients with a genetic predisposition. …”
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Image Fusion Techniques Based on Optimization Algorithms: A Review by Anamika Goel, Javed Wasim, Prabhat Kumar Srivastava, Kanika Malik, Monika Singh

“…In image processing applications, image fusion techniques gain popularity because they combine the most appropriate features of different source images in order to generate a single image that contains more information and is more beneficial. …”
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L’intuition dans l’apprentissage et l’emploi d’une langue étrangère : pourquoi la notion est-elle importante ? by Wioletta Piegzik

“…The study focuses on the evaluative function of intuition linked to the rapid judgment of the grammatical correctness of sentences and the compensation function, which involves the immediate inference of the meaning of unknown lexical units from the context. …”
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Unknown issues of digitalizing the tax domain by Dimitrijević Marina

“…The resulting digital innovations of the organization and business model of tax administration generate prerequisites for basic modification of tax procedures and taxpayers' behaviour in relation to tax compliance. …”
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KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion by Wei Li, Lu Li, Man Peng, Ran Tao

“…Diffusion models, known for their stable training process and exceptional image generation capabilities, have shown good application potential in this field. …”
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Effect of lincRNA-EPS on osteoclastogenesis of RAW264.7 cells induced by RANKL and LPS: An experimental study by ZHANG Xu, WANG Yabing, SU Jiansheng

“…[Results:] RAW264.7 cell strain overexpressing lincRNA-EPS and its negative control strain were generated. Neither strain showed significant difference during osteoclastogenesis (P>0.05), either induced by RANKL or LPS; for osteoclastogenesis by LPS induction, TRAP staining showed that significantly more osteoclasts were generated from lincRNA-EPS OE strain (P<0.05), while phalloidin staining showed that larger F-actin rings were generated from lincRNA-EPS OE strain, and RT-qPCR also showed that the mRNA levels of 4 osteoclastogenesis-related genes (TRAP, CTSK, DC-STAMP and ATP6v0d2) after induction were significantly lower in lincRNA-EPS OE strain (P<0.05); however, those difference were not present (P>0.05) when osteoclastogenesis was induced by RANKL. …”
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FADA-SMOTE-Ms: Fuzzy Adaptative Smote-Based Methods by Roudani Mohammed, El Moutaouakil Karim

“…In this regard, the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE is chosen in such a way that the synthetic data is as far as possible from the two closest majority data. More precisely, this method processes into six steps: (a) clustering minority class into <italic>k</italic> groups (b) selecting a safe region (c) selecting random two minority data, (d) finding the M closest majority data to these minority data using original membership functions based on Fuzzy mean and flirting results, (e) finding the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE producing a synthetic data as close as possible to the minority class and as far as possible from the M majority data by solving a very simple multi-objective mathematical optimization model, and (f) using SMOTE to generate synthetic samples using optimal <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE. …”
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A novel divergence measure in Dempster–Shafer evidence theory based on pignistic probability transform and its application in multi-sensor data fusion by Shijun Xu, Yi Hou, Xinpu Deng, Peibo Chen, Kewei Ouyang, Ye Zhang

“…Dempster–Shafer (D–S) evidence theory is more and more extensively applied in multi-sensor data fusion. …”
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Multiplex Immunofluorescent Batch Labeling of Marmoset Brain Sections by Daryan Chitsaz, Christopher D. Rowley, Nonthué A. Uccelli, Sarah Lefebvre, Andrea I. Krahn, Wolfgang E. Reintsch, Thomas M. Durcan, Christine L. Tardif, Timothy E. Kennedy

“…Many studies to date have complemented magnetic resonance imaging (MRI) with histochemical staining rather than immunofluorescent labeling, which can generate more informative and higher resolution images. …”
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Payload- and Energy-Aware Tactical Allocation Loop-Based Path-Planning Algorithm for Urban Fumigation Robots by Prithvi Krishna Chittoor, Bhanu Priya Dandumahanti, Abishegan M., Sriniketh Konduri, S. M. Bhagya P. Samarakoon, Mohan Rajesh Elara

“…Such improvements can diminish operator exposure, extend mission durations, and foster safer, more efficient urban pest control.…”
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An evaluation of the population uptake and contact tracer utilisation of the Covid-19 Bluetooth Exposure Notification Framework in New Zealand by Tim Chambers, Andrew Anglemyer, Andrew Chen, June Atkinson, Phoebe Elers, Michael G. Baker

“…Results: At its height, more than 60% of the eligible population had the Bluetooth function of NZCTA activated. …”
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AUV Online Path Planning Strategy Based on Sectorial Gridded Detection Area by Yang Liu, Jinxi Sun, Guojie Li, Xiujun Xu

“…Then, a comprehensive cost function combining safety, smoothness, and cost is utilized to generate the optimal heading. …”
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A POSSIBILISTIC APPROACH TO CALCULATING THE INTERNAL RATE OF RETURN FOR INVESTMENT PROJECTS WITH FUZZY CASH FLOWS by E. S. Volkova, V. B. Gisin

“…Generally, a possibilistic evaluation of the IRR with respect to a non-standard t-norm is rather difficult and was not considered before. If the t-norm is generated by a convex additive generator we reduce the evaluation of the IRR to a common convex optimization problem. …”
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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…Other approaches replace the simplified Green’s function with more representative functions. While these focusing techniques offer benefits like speed and low computational requirements, they face significant ongoing challenges in real-life applications due to their oversimplified linear solutions to the complex problem of non-linear medical microwave imaging. …”
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