Monocular vision guided deep reinforcement learning UAV systems with representation learning perception by Zhihan Xue, Tad Gonsalves

“…In recent years, numerous studies have applied deep reinforcement learning (DRL) algorithms to vision-guided unmanned aerial systems. …”
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An FPGA-Based Quantum Computing Emulation Framework Based on Serial-Parallel Architecture by Y. H. Lee, M. Khalil-Hani, M. N. Marsono

“…Quantum Fourier transform and Grover’s search are chosen as case studies in this work since they are the core of many useful quantum algorithms. Experimental work shows that, with the proposed emulation architecture, a linear reduction in resource utilization is attained against the pipeline implementations proposed in prior works. …”
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Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications by Mhammed Benhayoun, Mouhcine Razi, Anas Mansouri, Ali Ahaitouf

“…First, a decoding algorithm optimization and a compact data structure are proposed. …”
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STUDY ON THE USE OF COMPUTER BASED INFORMATION SYSTEMS IN PRODUCTION MANAGEMENT by Mirela PLESA (CHIRIACESCU)

“…These changes ultimately lead to a reduction in the amount of food available to humans and animals, to starvation, a phenomenon that still affects millions of people today.…”
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Numerical Reduced Variable Optimization Methods via Implicit Functional Dependence with Applications by Christopher Gunaseelan Jesudason

“…This work is more general than the reduction schemes for conditional linear parameters since it covers the nonconditional case as well and has potentially wide applicability.…”
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Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration by Ali Shehadeh, Odey Alshboul

“…The results indicate a reduction in design clashes by 16% and iterative revisions by 15%, culminating in a 12% decrease in overall project timelines. …”
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Improved Feature-Selection Method Considering the Imbalance Problem in Text Categorization by Jieming Yang, Zhaoyang Qu, Zhiying Liu

“…The filtering feature-selection algorithm is a kind of important approach to dimensionality reduction in the field of the text categorization. …”
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Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis by Jaesung Shim, Kyuri Jo

“…This method addresses the reduction in classification accuracy caused by the denoising process. …”
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Improving Non-Cartesian MRI Reconstruction through Discontinuity Subtraction by Jiayu Song, Qing Huo Liu

“…Multidimensional nonuniform fast Fourier transform (NUFFT) algorithms are utilized to simulate the k-space samples as well as to reconstruct images. …”
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An Optimized Multi-Stage Framework for Soil Organic Carbon Estimation in Citrus Orchards Based on FTIR Spectroscopy and Hybrid Machine Learning Integration by Yingying Wei, Xiaoxiang Mo, Shengxin Yu, Saisai Wu, He Chen, Yuanyuan Qin, Zhikang Zeng

“…To overcome these limitations, this study develops a five-stage modeling framework that systematically integrates Fourier Transform Infrared (FTIR) spectroscopy with hybrid machine learning techniques for non-destructive SOC prediction in citrus orchard soils. The proposed framework includes (1) FTIR spectral acquisition; (2) a comparative evaluation of nine spectral preprocessing techniques; (3) dimensionality reduction via three representative feature selection algorithms, namely the Successive Projections Algorithm (SPA), Competitive Adaptive Reweighted Sampling (CARS), and Principal Component Analysis (PCA); (4) regression modeling using six machine learning algorithms, namely the Random Forest (RF), Support Vector Regression (SVR), Gray Wolf Optimized SVR (SVR-GWO), Partial Least Squares Regression (PLSR), Principal Component Regression (PCR), and the Back-propagation Neural Network (BPNN); and (5) comprehensive performance assessments and the identification of the optimal modeling pathway. …”
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Assessment of medical risks in airline passengers with recent acute and chronic coronary syndromes by I. N. Posokhov, E. A. Praskurnichiy

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MANAGEMENT OF PATIENTS WITH PARKINSON’S DISEASE AND AN OVERACTIVE BLADDER by E. S. Korshunova, M. N. Korshunov, S. P. Darenkov

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Young and Inverse Young Inequalities on Euclidean Jordan Algebra by Chien-Hao Huang

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Hydrodynamic coefficients identification of ship simplified modular model based on support vector regression by Lifei SONG, Yuqing WANG, Wei PENG, Peiyong LI, Yushan LIu, Yongfeng ZHANG

“…The calculated values of root mean square error (RMSE) and correlation coefficient (CC) fall within a favorable range. ConclusionsThe SVR algorithm successfully identifies the hydrodynamic derivatives of the modular model, the identified hydrodynamic coefficients exhibit high accuracy, and the established model demonstrates good predictive capability and robustness.…”
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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints by Danyang Li, Hongpeng Liu, Jingwei Zhang, Xu Han, Shuxin Zhang

“…A flexibility-constrained multi-stage generation planning model is formulated, which resolves nonlinearity through auxiliary variable linearization and Benders decomposition algorithm. Case studies demonstrate that the proposed model achieves a 47.3% reduction in total 10-year planning costs for a typical regional system, comprising 39.5% operational cost savings and 46.3% carbon emission cost reduction, while elevating renewable energy accommodation rate to 80%. …”
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Knowledge of alarm signs of stroke among caretakers of stroke patients and first contact healthcare providers at two tertiary referral hospitals in Uganda by Salvatore Ssemmanda, Abdu Kisekka Musubire

“…Although acute stroke recognition algorithms like BE-FAST are widely accepted, applied and generally easy to administer, their utility in Uganda is unknown. …”
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Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma by Guoyin Li, Yukui Zhao, Yubo He, Zhaoqiang Qian, Yiwen Liu, Xiaoyan Li, Lili Li, Zhiqiang Liu

“…CIBERSORT and ESTIMATE algorithms were employed to evaluate the infiltration of immune cells. …”
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From genetic data to kinship clarity: employing machine learning for detecting incestuous relations by Dejan Šorgić, Aleksandra Stefanović, Mladen Popović, Dušan Keckarević

“…Several machine learning algorithms and neural networks were tested for classification accuracy.Results:The CatBoost algorithm performed best in the binary classification of Normal Paternity vs. …”
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Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique by Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, Sahar K. Badri, Muhammad Zubair Asghar

“…Our methodology, along with an updated ensemble method, bridges the gap between Explainable AI and leverages a variety of machine learning algorithms to improve predictive accuracy. By leveraging Explainable AI’s interpretability to analyze the features, the model elucidates the reasoning behind its classifications leading to a comprehension of hidden patterns associated with suicidal ideations. …”
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BIM and AI Integration for Dynamic Schedule Management: A Practical Framework and Case Study by Heap-Yih Chong, Xinyi Yang, Cheng Siew Goh, Yan Luo

“…The framework comprises three layers: a data layer for collecting BIM and real-time site data, an analysis layer powered by AI algorithms for predictive analytics and optimization, and an application layer for visualizing progress and supporting decision-making. …”
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