A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things by Jiangang Feng, Jicheng Kan

“…This paper introduces MO-FCNN, a novel PdM model that integrates fuzzy logic with deep convolutional neural networks (DCNN) to manage data uncertainty and utilizes non-dominated sorting biogeography-based optimization (NSBBO) to improve the overall maintenance decision-making process. …”
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BAM-SLDK: biologically inspired attention mechanism with spiking learnable delayed kernel synapses by Mario Chacón-Falcón, Alberto Patiño-Saucedo, Luis Camuñas-Mesa, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

“…However, in order to effectively process data with rich spatial and temporal dependencies, the usual static projections (feedforward and recurrent) among layers of spiking neurons fail to represent all the information needed. …”
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Extracting Features from Oblique Ground-Based Multispectral Images for Monitoring Cotton Physiological Response to Nitrogen Treatments by Vaishali Swaminathan, J. Alex Thomasson, Nithya Rajan, Robert G. Hardin

“…A pre-trained monocular depth estimation model (MiDaS) was used to estimate plant height from aligned RGB images and an empirically derived tangential model corrected for perspective distortion. …”
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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

“…Firstly, the article utilized a score management system and intelligent cameras to collect multimodal learning data; then, the original signal was decomposed into detail layers and approximation layers of different frequencies using wavelet transform, and high-frequency detail layers were processed for denoising through threshold functions; afterwards, in order to reduce the network size and parameters, attention mechanism was applied to screen the input features of the neural network; using students, teachers, and learning resources as network nodes, the connections between nodes were analyzed and a complex network topology structure was constructed; then, attention mechanism was used to fuse multimodal data, assigning different weights to each modality, integrating educational information, and highlighting key information in the prediction task. …”
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Study on the Vibration Influence Law of Bored Cast-in-place Pile Construction on Existing Strata and Pipe Trenches by NIE Peng

“…Therefore, it is necessary to study the vibration response of the strata and structures caused by the rotary drilling process. ［Method］ Taking a station foundation pit excavation project of Jinan Metro Line 4 as the background, through field tests and numerical simulation methods based on three-dimensional finite element models, the influence of soil layers and power pipe trenches vibration caused by rotary drilling construction is analyzed considering factors such as vibration source distance, burial depth, excavation depth, different power pipe trench positions, and the number of piles under simultaneous construction. …”
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Integrated net pay cut-off evaluation workflow for tight sandstone reservoirs: a case study of the Linxing gas field, Ordos Basin by Li Li, Li Li, Jie Yu, Jie Yu, Tao Huang, Tao Huang, Lina Tang, Lina Tang, Dan Wei, Dan Wei, Mingyu Li, Mingyu Li, Xin Nie

“…Net pay detection is a crucial stage in reservoir characterization, serving various purposes such as reserve estimation, reservoir modeling, simulation, and production planning. Net pay was quantified through the use of petrophysical cut-offs. …”
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Experimental studies of mass transfer in caryopsis at grain oscillating drying by S. A. Pavlov, I. A. Pekhal’Skiy, R. A. Marin

“…In the course of drying intensity of a mass tranfer decreases because of predrying of surface layers, the gradient of moisture content decreases, the front of evaporation continuously goes deep, respectively, intensity of process decreases. …”
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The ZiCOS-M CO₂ sensor network: measurement performance and CO₂ variability across Zurich by S. K. Grange, S. K. Grange, S. K. Grange, P. Rubli, A. Fischer, D. Brunner, C. Hueglin, L. Emmenegger

“…Some of the highest <span class="inline-formula">CO₂</span> levels were found at two sites exposed to strong plant respiration in a very confined nocturnal boundary layer. High-<span class="inline-formula">CO₂</span> episodes were detected outside Zurich's urban area, demonstrating that processes acting on a variety of scales drove <span class="inline-formula">CO₂</span> levels. …”
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Artificial intelligence tool development: what clinicians need to know? by Boon-How Chew, Kee Yuan Ngiam

“…This review synthesises a targeted literature review and reports and summarises online structured materials to present a succinct explanation of the whole development process of AI tools. The development of AI tools in healthcare involves a series of cyclical processes: (1) identifying clinical problems suitable for AI solutions, (2) forming project teams or collaborating with experts, (3) organising and curating relevant data, (4) establishing robust physical and virtual infrastructure, and computer systems’ architecture that support subsequent stages, (5) exploring AI neural networks on open access platforms before making a new decision, (6) validating AI/ML models, (7) registration, (8) clinical deployment and continuous performance monitoring and (9) improving the AI ecosystem ensures its adaptability to evolving clinical needs. …”
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Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification by Samia Nawaz Yousafzai, Fahd N. Al-Wesabi, Hadeel Alsolai, Shouki A. Ebad, Inzamam Mashood Nasir, Emad Fadhal, Adel Thaljaoui

“…In terms of feature extraction, EfficientNetB0 is fine-tuned by subtracting the last fully connected layers, and the classification is conducted with the new fully connected layers. …”
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Hierarchical multi-instance multi-label learning for Chinese patent text classification by Yunduo Liu, Fang Xu, Yushan Zhao, Zichen Ma, Tengke Wang, Shunxiang Zhang, Yuhao Tian

“…Next, the concept of secondary_label is introduced following the composition rules of IPC, and the relationships between instances and multiple secondary_labels are mined through the construction of fully-connected layers. To capture more comprehensive semantic information of instances, BIGRU and self-attention are employed to enhance semantics and reduce information loss during the training process. …”
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A soil temperature dataset based on random forest in the Three River Source Region by Xiaoqing Tan, Siqiong Luo, Hongmei Li, Zhuoqun Li, Qingxue Dong

“…Abstract Changes in soil temperature (ST) in the Three River Source Region (TRSR) significantly influence regional climate, ecology, and hydrological processes. However, existing models and reanalysis data exhibit considerable deviations in ST due to limitations in physical processes and parameterization schemes. …”
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Novi pristup u upravljanju hidroelektranama zasnovan na neuronskim mrežama by Radmila Koleva, Darko Babunski, Emil Zaev, Atanasko Tuneski, Laze Trajkovski

“…Artificial Neural Networks (ANN) as a technique used in the HPP control systems have advantages in getting a stable and faster response but the complexity of the structure behind the neural networks (NN), meaning algorithms, number of hidden layers, training function, activation function can complicate and destabilize the process. …”
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<i>Willaertia</i> Lysate: A Hydrobiome-Biosourced Ingredient with Multi-Site Antioxidative and Antiaging Properties by Morgan Dos Santos, Julie Rorteau, Kilian Laho, Hanan Osman-Ponchet, Manon Barthe, Benjamin Quelard, Antoine Carlino, Adeline Saha, Sandrine Troussieux

“…Aging is synonymous with the skin becoming increasingly thin and fragile, which is associated with a decrease in epidermal cell layers. Beyond this intrinsic aging process, the skin is continually exposed to environmental stressors such as UV radiation that accelerate aging. …”
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Causes of Mass Mutual Violence: Structuring Concepts and Subjective Factors of Deliberate Wars by Nikolai S. Rozov

“…An attempt is made to present all these very heterogeneous ideas and models in a single conceptual apparatus, including such concepts as concerns, challenges-threats and challenges-opportunities, attitudes and interactive rituals. …”
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A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems by Kaifeng Xie, Jinjing Wan, Lifeng Chen, Yi Wang

“…However, the Rustc optimization process may introduce vulnerabilities due to algorithmic flaws or issues arising from component interactions. …”
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Mountainous Floodplain Connectivity in Response to Hydrological Transitions by Tristan Babey, Zach Perzan, Sam Pierce, Brian Rogers, Lijing Wang, Rosemary W. H. Carroll, John R. Bargar, Kristin Boye, Kate Maher

“…This model provides a framework for quantifying biogeochemical processes in hydrological underflow systems, which is critical for water and elemental budgets in these globally important mountainous ecosystems.…”
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Reliability Allocation Method of NC Servo Tool Rest Based on Improved Comprehensive Factor Method by CHEN Chuanhai, GUO Jinyan, LIU Mingying, LIU Zhifeng, YANG Zhaojun, QI Baobao

“…Aiming at the uncertainty caused by independent consideration of influencing factors and expert scoring in the process of reliability allocation, a reliability allocation method of NC tool holder based on grey correlation theory, fuzzy set theory and ordered weighted averaging operator is proposed The technical level,importance, complexity, operation environment, maintainability, cost effectiveness ratio and other influencing factors are comprehensively considered.The factors are refined and organized into layers to establish a layered comprehensive factor evaluation model. …”
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Acoustic Emission-Based Pipeline Leak Detection and Size Identification Using a Customized One-Dimensional DenseNet by Faisal Saleem, Zahoor Ahmad, Muhammad Farooq Siddique, Muhammad Umar, Jong-Myon Kim

“…The denoised signals are processed using a DenseNet-based deep learning model, which combines convolutional layers and densely connected feature propagation to extract fine-grained temporal dependencies, ensuring the accurate classification of leak presence and severity. …”
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Grid-Connected Key Technical Indicators and Evaluation Methods for Multi-Type Synchronous Control Equipment by Shengjun Wu, Dajiang Wang, Zheng Li, Wenbo Li, Ke Xu

“…Considering that the objective weighting and subjective weighting can, respectively, be achieved by the independent information entropy weighing method (IIEWM), the analytic hierarchy process method (AHPM) and the integrating principal component analysis method (PCAM), an improved layered integration weight allocation method based on IIEWM-AHPM-PCAM is proposed. …”
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