Challenges and Opportunities in Recycling Upholstery Textiles: Enhancing High-Density Fiberboards with Recycled Fibers by Matylda Wojciechowska, Grzegorz Kowaluk

“…Recycling upholstery textiles is challenging due to the complexity of materials, which often include a mix of fabrics, foams, and adhesives that are difficult to separate. …”
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YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…Moreover, the C2f module is restructured into a ResNet–RepConv architecture, in which convolution and Batch Normalization layers are fused during inference to reduce model complexity and enhance inference speed. …”
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SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

“…A novel Convolutional XGBoost Network (CXGBN) combines CNN's completely connected layers with XGBoost classifications for enhanced efficiency. …”
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Facile Synthesis and Characterization of Novel Analcime@Calcium Aluminate@Polyethylene Glycol 400 Nanocomposite for Efficient Removal of Zn(II) Ions from Aqueous Media by Ehab A. Abdelrahman, Abdulrahman G. Alhamzani, Mortaga M. Abou-Krisha, Fawaz A. Saad, Abdalla M. Khedr

“…Field emission scanning electron microscopy (FE-SEM) revealed that AC exhibited hexagonal and platelet-like structures, whereas ACP displayed more dispersed and layered morphologies. High-resolution transmission electron microscopy (HR-TEM) confirmed the presence of stacked platelet-like structures in AC and more defined, separated nanosheets in ACP. …”
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Temporal and Modality Awareness-Based Lightweight Residual Network With Attention Mechanism for Human Activity Recognition Using a Lower-Limb Exoskeleton Robot by Chang-Sik Son, Won-Seok Kang

“…Although many human activity recognition (HAR) models have achieved high accuracy, their computational complexity often limits deployment in systems with constrained hardware resources, such as wearable lower-limb exoskeletons. …”
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Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS by Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao

“…Next, based on the YOLO v10 algorithm, this paper removes redundant detection layers to enhance the model’s ability to capture specific features and further reduce the number of parameters. …”
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Novel Wavelet Convolutional Neural Networks for Signal Detection in OFDM-IM Systems by Yang Zhao, SI-YU Zhang, Yuexia Zhang, Gongpu Wang, Behnam Shahrrava

“…The second network, named Single Network Wavelet Convolutions (SN-WTConv), features a more compact single stage design that combines wavelet convolution and CNN layers. Extensive simulation results demonstrate that both the DS-WTConv and SN-WTConv networks exhibit superior bit error rate (BER) performance and lower computational complexity compared to existing conventional and deep learning-based approaches. …”
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Mme de Graffigny and the Archduchess: Indirect Correspondence between the Court and 'le monde' by Kelsey Rubin-Detlev

“…These two exchanges accordingly show the full complexity of how eighteenth-century letter-writers managed the ambivalence of epistolary writing: both privacy and publicity could be staged and could take on multiple layers of meaning as letters moved between the court and le monde.…”
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A Lightweight and Rapid Dragon Fruit Detection Method for Harvesting Robots by Fei Yuan, Jinpeng Wang, Wenqin Ding, Song Mei, Chenzhe Fang, Sunan Chen, Hongping Zhou

“…The method builds upon YOLOv10 and integrates Gated Convolution (gConv) into the C2f module, forming a novel C2f-gConv structure that effectively reduces model parameters and computational complexity. In addition, a Global Attention Mechanism (GAM) is inserted between the backbone and the feature fusion layers to enrich semantic representations and improve the detection of occluded fruits. …”
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Advanced air quality prediction using multimodal data and dynamic modeling techniques by Umesh Kumar Lilhore, Sarita Simaiya, Rajesh Kumar Singh, Abdullah M. Baqasah, Roobaea Alroobaea, Majed Alsafyani, Afnan Alhazmi, M. D. Monish Khan

“…Importantly, we use adaptive pooling, a dynamic operation that optimizes spatial feature reduction while preserving critical information, which sets it apart from traditional fixed pooling layers. This adaptive pooling mechanism reduces computational complexity and results in a 22% reduction in training time, as demonstrated by the experimental results in section 4. …”
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On the Energy Efficiency of Indoor Air Conditioning by S. N. Osipov, A. V. Zakharenko, E. M. Shirokova

“…One of these methods is the use of laminar (or close to them) moving layers of conditioned air in a limited area of work or rest of people. …”
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SFRADNet: Object Detection Network with Angle Fine-Tuning Under Feature Matching by Keliang Liu, Yantao Xi, Donglin Jing, Xue Zhang, Mingfei Xu

“…Building on this, we utilize multi-scale features within the layers and apply weighted aggregation based on a Scale Selection Matrix (SSMatrix). …”
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Geoinformatics and hydrogeophysical-based delineation of groundwater potential zone through surface and subsurface indicators by Usman Basharat, Wenjing Zhang, Arshad Abbasi, Sehrish Mahroof, Abrar Niaz, Shoukat Husain Khan

“…Groundwater potential zones were delineated by integrating the thematic layers created from the digital elevation model, sentinel 2, geophysical investigations, pre-existing maps, and field survey data into a GIS context. …”
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Decoupling Urban Street Attractiveness: An Ensemble Learning Analysis of Color and Visual Element Contributions by Tao Wu, Zeyin Chen, Siying Li, Peixue Xing, Ruhang Wei, Xi Meng, Jingkai Zhao, Zhiqiang Wu, Renlu Qiao

“…Moderate road visibility may increase spatial layering and vibrancy, whereas overly dense building significantly degrades overall aesthetic quality. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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Special issue: Proceedings of the 15th ISIC - The Information Behaviour Conference, Aalborg, Denmark, August 26-29, 2024

“…Montague Situating complexity: information behaviour in the contact zone Hye Lim Joy Nam An information behaviour exploration of personal and family information and curation of our life histories Bhuva Narayan, Annemarie Zijlema, Vanessa Reyes, Mary Anne Kennan Layers upon layers: data sharing & reuse challenges in archaeological contexts Michael Olsson, Olle Sköld, Lisa Andersson Development in the adoption of a national digital healthcare system and experience at taking new technology in use – changes from 2019 to 2022 Ágústa Pálsdóttir Ubiquitous but invisible – public librarians’ self-imposed professional information practices as articulation work Ola Pilerot, Jenny Lindberg Transdisciplinarity: an imperative for information behaviour research Sarah Polkinghorne, Paul Bowell, Lisa M. …”
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Special issue: Proceedings of the 15th ISIC - The Information Behaviour Conference, Aalborg, Denmark, August 26-29, 2024

“…Montague An information behaviour exploration of personal and family information and curation of our life histories Bhuva Narayan, Annemarie Zijlema, Vanessa Reyes, Mary Anne Kennan Layers upon layers: data sharing & reuse challenges in archaeological contexts Michael Olsson, Olle Sköld, Lisa Andersson Development in the adoption of a national digital healthcare system and experience at taking new technology in use – changes from 2019 to 2022 Ágústa Pálsdóttir Ubiquitous but invisible – public librarians’ self-imposed professional information practices as articulation work Ola Pilerot, Jenny Lindberg Transdisciplinarity: an imperative for information behaviour research Sarah Polkinghorne, Paul Bowell, Lisa M. …”
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Integrated LCA and LCCA for various compositions and traffic classes of hot mix asphalt and cold in-place recycling pavements in Saudi Arabia by Fawaz Alharbi, Husnain Haider, Meshal Almoshaogeh, Md Niamot Alahi, Arshad Jamal

“…The study conducted Life Cycle Analysis (LCA) and Life Cycle Cost Analysis (LCCA) of 50 [25 hot mix asphalt (HMA) and 25 cold in-place recycling (CIR)] scenarios with combinations of five pavement layers' thicknesses and five traffic classes (TCs) with equivalent single-axle loads (ESALs) from 250,000 to 31,000,000. …”
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Improvement of the "Slowness-Time Coherence" Method of Processing Borehole Acoustic Data Arrays by Sergii Lavreniuk, Yevhen Nazarenko, Daria Tulchynska, Petro Tulchynskyi

“…The main disadvantages of STC method are the high cost and complexity of operating multi-channel sonic tools, and low quality of STC method in layers of high anisotropy, high fracturing, carbonate deposits, in horizontal wells. …”
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THE POST-SEDIMENTARY CHARACTER OF DEVELOPMENT OF INTRAPLATE DISLOCATIONS AS A REFLECTION OF IMPULSIVENESS OF DEFORMATION PROCESSES by V. I. Popkov

“…At the background of the long-term (tens and hundreds of million years) quiet evolution of the territory under study, short-term intervals are distinguished, which duration amounts to the first millions of years (typically manifested in one or two stratigraphic layers); in such time intervals, tectonic movements were dramatically boosted and accompanied by land uplifting, sea regression, erosion of sediments accumulated earlier and manifestation of deformation processes.The paleotectonic reconstructions show that during such ‘revolutionary’ stages, large tectonic elements occurred along with local uplifts that added to their complexity. …”
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