A hybrid Bi-LSTM model for data-driven maintenance planning by Alexandros Noussis, Ryan O’Neil, Ahmed Saif, Abdelhakim Khatab, Claver Diallo

“…Abstract Modern industries dependent on reliable asset operation under constrained resources employ intelligent maintenance methods to maximize efficiency. However, classical maintenance methods rely on assumed lifetime distributions and suffer from estimation errors and computational complexity. …”
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Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model by Bin Li, Yuki Todo, Zheng Tang

“…Our approach involves modeling depth selective cells to receive depth information, simple stereo-orientation selective cells for combining distinct depth information inputs to generate various local stereo-orientation selectivity, and complex stereo-orientation selective cells responsible for integrating the same local information to generate global stereo-orientation selectivity. …”
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Latency Analysis of UAV-Assisted Vehicular Communications Using Personalized Federated Learning with Attention Mechanism by Abhishek Gupta, Xavier Fernando

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Supply Chain Management Control in the Aerospace Sector: An Empirical Approach by Gonzalo Torralba-Carnerero, Manuel García-Nieto, Juan Manuel Ramón-Jerónimo, Raquel Flórez-López

“…This is especially important given the complexity of aircraft manufacturing, the globalization of supply chains, and the requirement to meet stringent regulatory standards. …”
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On-axis structured beams generation via moiré and Mie resonant metallo-dielectric moiré gratings by Anil Ringne, Subrata Karmakar, Ananth Krishnan

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Advances in Selective Photocatalytic Oxidation of <i>p</i>-Xylene to Terephthalic Acid as a Sustainable Route: A Short Review on Photocatalyst Formulation and Related Reaction Mech... by Antonietta Mancuso, Olga Sacco, Vincenzo Vaiano

“…Advances in photocatalyst design—particularly in non-metallic and hybrid systems—could address key challenges such as limited light absorption and charge recombination, enhancing overall efficiency. Despite these advancements, maintaining high selectivity for terephthalic acid while minimizing by-product formation remains a critical challenge. …”
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Swift Observations of Mrk 421 in Selected Epochs. IV. Physical Implications of X-Ray Flaring Activity and Features of Relativistic Magnetic Reconnection in 2018 April–2023 December... by B. Kapanadze, A. Gurchumelia, M. Aller

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Real-Time Evaluation of the Improved Eagle Strategy Model in the Internet of Things by Venushini Rajendran, R Kanesaraj Ramasamy

“…Web services, facilitated by APIs, offer a modular approach to integrating and streamlining complex business processes. However, real-time monitoring and optimal service selection within large-scale, cloud-based repositories remain significant challenges. …”
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Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy by Xin Chen, Fang Wang, Yaolin Zhu, Jinni Chen

“…After preprocessing the spectra using maximum–minimum normalization, a model is established based on the successive projection algorithm to select wavelengths. Validation results indicate that this model significantly can improve prediction accuracy and reduce operation time, providing a convenient, rapid, and efficient method for distinguishing between cashmere and wool content.…”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…In this paper, we introduce a semi-parametric logistic single-index model for analyzing high-dimensional group testing data, which is particularly flexible in capturing complex nonlinear relationships. The proposed method achieves variable selection by parameter regularization, which proves especially beneficial for extracting relevant information from high-dimensional data. …”
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A study on multi-objective optimization for the location selection of smart underground parking facilities in high-density urban areas of megacities: A case study of Jing'an distri... by Xiaodan Li, Yunci Guo, Zhen Liu, Dandan Sun, Yidi Liu, Wencan Wang

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RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…Existing methods often struggle with the complex textures and subtle variations in the prostate. …”
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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Despite considerable advancements in this field, existing methods often face challenges related to computational efficiency and prediction accuracy. This study introduces a novel approach to link prediction in social networks by employing the Heat Transfer Optimization Algorithm (HTOA) for topological feature selection. …”
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Importance of the CuAAC Reaction in the Synthesis of Platinum Complexes with 1,4-Disubstituted-1<i>H</i>-1,2,3-triazoles: A Review of Their Anticancer Activity by Delia Hernández-Romero, Sharon Rosete-Luna, Enrique Méndez-Bolaina, Elena de la C. Herrera-Cogco, Luis P. Amador-Gómez, Anell Soto-Contreras, José M. Rivera-Villanueva, Raúl Colorado-Peralta

“…This reaction allows the easy, efficient, functional, ordered, rapid, selective, and specific joining of small molecules, giving rise to more complex molecules. …”
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Role of Visual Saliency in Video Quality Assessments by Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

“…This highlights the effectiveness of visual saliency and feature selection in improving the reliability and efficiency of VQA models, making them more aligned with human perception.…”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…This underscores the need for an adaptive compression method that integrates into the training process, dynamically adjusting model complexity based on data and task requirements. To address this, we propose an efficient training method for CNN compression via dynamic parameter rank pruning. …”
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The evolutionary game equilibrium theory on power market bidding involving renewable energy companies by Lefeng Cheng, Pan Peng, Wentian Lu, Jian Sun, Fan Wu, Mingming Shi, Xiaodong Yuan, Yang Chen

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STRUCTURAL GLOBAL SENSITIVITY METHOD BASED ON PARTIAL DERIVATIVE WHOLE DOMAIN INTEGRAL by TU LongWei, LIU Jie, LIU GuangZhao, ZHANG Zheng

“…Numerical example 2 illustrates the validity of the proposed method for complex high-dimensional model. Engineering example demonstrates the applicability and effectiveness of the present method for complex engineering structure problems.…”
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Drilling Condition Identification Method for Imbalanced Datasets by Yibing Yu, Huilin Yang, Fengjia Peng, Xi Wang

“…The BiLSTM component captures global contextual information, while the GRU efficiently learns features from complex sequential data. …”
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