YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

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Retrospective cohort study based on the MIMIC-IV database: analysis of factors influencing all-cause mortality at 30 days, 90 days, 1 year, and 3 years in patients with different t... by Xuehui Fan, Jing Xu, Ruixue Ye, Qiu Zhang, Yulong Wang

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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…In recent years, machine learning methods have been widely used to detect connections between regions of interest (ROIs) involved in cognitive functions, as measured by the fMRI technique. …”
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Towards a Conceptual Modeling of Trustworthiness in AI-Based Big Data Analysis by Sebastian Bruchhaus, Alexander Kreibich, Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje

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An Overview of Distributed Firewalls and Controllers Intended for Mobile Cloud Computing by Cyril Godwin Suetor, Daniele Scrimieri, Amna Qureshi, Irfan-Ullah Awan

“…The review also points to the necessity of privacy-preserving methods within CASB to uphold privacy standards in MCC. …”
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Experimental Study of the Kinematics of a Double-Row Planetary Mechanism Using Two Elliptical External Gears by A. A. Prikhodko, N. N. Belina, A. V. Novitskiy, M. M. Shchetinin

“…The analysis of the papers on the research area shows that gears with movable rotation axes have not been sufficiently studied from the point of view of kinematics and dynamics. Most research papers reveal the theory of such mechanisms without verifying the results obtained in practice. …”
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Optimizing radiation monitoring networks to improve emergency response strategies during nuclear power plant accidents by Allan Gellenoncourt, Ali Ayoub, Haruko M. Wainwright

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Predictive maintenance of belt conveyor drives based on the analysis of lubricating oil parameters by Kuzin E.G., Mamaeva M.S., Komarov D.S.

“…Basic information about the purpose and functions of additives is given. A brief analysis of the history of the development of methods for assessing oil condition by various parameters is considered. …”
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You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization by Mohamed Shili, Osama Sohaib, Salah Hammedi

“…The speedy progress of computer vision and machine learning engineering has inaugurated novel means for improving the purchasing experiment in brick-and-mortar stores. …”
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A Reconfigurable 1x2 Photonic Digital Switch Controlled by an Externally Induced Metasurface by Alessandro Fantoni, Paolo Di Giamberardino

“…MMI couplers, based on self-imaging multimode waveguides, are very compact integrated optical components that can perform many different splitting and recombining functions. The input–output model has been defined using a machine learning approach; a high number of images have been generated through simulations, based on the beam propagation algorithm, obtaining a large dataset for an MMI structure under different activation maps of the MOS pixels. …”
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Enhancing Sea Ice Concentration Resolution in a Northern Sea Route Strait Using a Generative Adversarial Network by M. L. Rocha, A. H. Lynch, K. J. Bergen

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Study on the mutual interference and propagation characteristics of three-dimensional vibration during shield tunnel construction in hard rock strata by You Wang, Tian-ya Gao, Rui Wang, Bo-song Ding, Yue Ma

“…The arrival time of the vibration wave at the monitoring point is later after the shield machine passes.6)For vibrations at different locations of the same pile foundation, the vibration speed at the same depth near the tunnel center is the highest. …”
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Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models by A. Yousefi, k. movagharnejad

“…Molecular weight, melting point, temperature and the number of each functional group in the pharmaceutical compound and organic solvents were selected as the input variables of these three different neural network models. …”
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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

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A Mean Weighted Squared Error-based Neural Classifier for Intelligent Pattern Recognition in Smart Grids by Mehdi Khashei, Mehrnaz Ahmadi, Fatemeh Chahkoutahi

“…In the proposed MWSE, unequal weights are assigned to each estimated data point, unlike the conventional version. In this paper, Multilayer Perceptron Neural Networks (MLPs) are employed to implement the proposed MWSE loss function. …”
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Million‐Atom Simulation of the Set Process in Phase Change Memories at the Real Device Scale by Omar Abou El Kheir, Marco Bernasconi

“…Over the last decade, atomistic simulations based on density functional theory (DFT) have provided crucial insights on the early stage of this process. …”
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NCoder—a quantum field theory approach to encoding data by D S Berman, M S Klinger, A G Stapleton

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A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

“…In today’s information-driven era, machine learning is revolutionizing medicinal chemistry, offering a paradigm shift from traditional, intuition-based, and often bias-prone methods to the prediction of chemical properties without prior knowledge of the basic principles governing drug function. …”
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