A lightweight algorithm for steel surface defect detection using improved YOLOv8 by Shuangbao Ma, Xin Zhao, Li Wan, Yapeng Zhang, Hongliang Gao

“…Finally, the SIoU (Simplified IoU ) is used to replace the traditional CIoU loss function, which can make the anchor frame more fast and accurate in the regression process, to improve the stability and the robustness of detection. …”
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Advanced polymeric scaffolds for bone tissue regeneration by Ashkan Farazin, Seyedeh Farnaz Darghiasi

“…Bone tissue engineering (BTE) represents a cutting-edge approach to treating critical-sized bone defects, complex fractures, and degenerative bone diseases by promoting the regeneration of functional bone tissue. …”
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Negotiating the middle-class city by Gaia Caramellino, Cristina Renzoni

“…The article explores the pattern of fragmented public spaces and collective facilities built in Turin between the 1950s and the 1970s, as the result of negotiation processes conducted between public institutions, private developers and professionals over the design and construction of housing devoted to the middle-class. …”
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Topological Rainbow Trapping with Expanded Bandwidth in Valley Photonic Crystals by Sayed El. Soliman, Israa Abood, Naglaa Abdel All, Chii-Chang Chen

“…By exploiting the concept of valley PCs, we engineer a structure that supports robust topological edge states. A carefully designed rotational angle gradient along the edge state path induces frequency-dependent light localization, forming a topological rainbow with a significantly expanded bandwidth. …”
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Mechanical response identification of local interconnections in board-level packaging structures under projectile penetration using Bayesian regularization by Xu Long, Yuntao Hu, Irfan Ali

“…To address this issue, an indirect measurement method using the Bayesian regularization-based load identification was proposed in this study based on finite element (FE) predictions to estimate the load applied on critical interconnections of board-level packaging structures during the process of projectile penetration. For predicting the high-strain-rate penetration process, an FE model was established with elasto-plastic constitutive models of the representative packaging materials (that is, solder material and epoxy molding compound) in which material constitutive parameters were calibrated against the experimental results by using the split-Hopkinson pressure bar. …”
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Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

“…To boost the complete product detection process, the ACPR-AOADL technique involves AOA based hyperparameter selection process. …”
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Processus de marchandisation de la faune sauvage, tensions et conflits dans le parc transfrontalier du Grand Limpopo (parc national Kruger en Afrique du Sud et parc national du Lim... by Hugo Mazzero

“…The article follows on from the critical work that has been produced on the Great Limpopo Park, such as Bocchino's and Guyot's research on the influence and domination of South Africa in the process of cross-border cooperation; the work of Andersson et al. and Ferreira on the marginalization of populations living on the edge of parks, or the work of Lunstrum, Duffy et al., Büscher and Ramutsindela on poaching and the militarization of the park. …”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

“…Furthermore, the feature selection process uses the RIME optimization algorithm (ROA) model to select the most relevant features from the data. …”
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Study on Damage Mechanism of Waterflooding Development in Weizhou 11-4N Low-Permeability Oilfield by Yi Zhang, Pengyu Zhu, Feng Wei, Guoqing Xue, Mingguang Tang, Congdi Zhang, Rui Wang

“…The oilfield was initially developed by edge and bottom water energy and then transferred to water injection development. …”
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Alzheimer’s Disease Detection Using Deep Learning and Federated Learning by Taha Bin Niaz, Usman Amjad, Humera

“…This method provides a secure edge data protection model where there is no requirement for centralized storage. …”
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A Portable Non-Motorized Smart IoT Weather Station Platform for Urban Thermal Comfort Studies by Raju Sethupatu Bala, Salaheddin Hosseinzadeh, Farhad Sadeghineko, Craig Scott Thomson, Rohinton Emmanuel

“…The centralized server facilitates scalability, processing, storage, and live monitoring of data acquisition processes. …”
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Pengembangan Aplikasi Sistem Penilaian Praktik Pengalaman Lapangan pada Fakultas Ilmu Komputer Universitas Brawijaya Berbasis Web by Rizky Tri Sulistyo, Faizatul Amalia, Tri Afirianto

“…However, during the FEP implementation process all activities are still carried out offline. …”
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Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices by Muhammad Bisri Musthafa, Samsul Huda, Tuy Tan Nguyen, Yuta Kodera, Yasuyuki Nogami

“…This paper proposes an optimized ensemble-based IDS designed specifically for efficient deployment on edge hardware. However, deploying such computationally intensive models on resource-limited edge devices remains a significant challenge due to model size and computational overhead on devices with limited processing capabilities. …”
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SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV by Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song

“…Third, an Adaptive Synergistic Mask Optimization (ASMO) strategy systematically enhances mask generation through classification head refinement, adaptive post-processing, and progressive training protocols. Comprehensive experiments demonstrate that our method achieves 0.695 (IoU) segmentation accuracy and 1.0 (AP) edge localization accuracy. …”
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Formation model and special significance of helium-rich coalbed methane reservoirs in Mu’ai Block, Junlian by Zhaobiao YANG, Junyu GU, Xuehai FU, Wenguang TIAN, Caiqin BI, Yongsheng HAN, Yuhui LIANG, Baoxin ZHANG

“…This is closely related to its location at the edge of Sichuan Basin, weak tectonic activity, and the formation water is mudstone compaction drainage water mixed with atmospheric precipitation. …”
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THE STRUCTURE OF THE LITHOSPHERIC MANTLE OF THE SIBERAIN CRATON AND SEISMODYNAMICS OF DEFORMATION WAVES IN THE BAIKAL SEISMIC ZONE by A. A. Stepashko

“…The lenses are distinguished by high-density ultrabasic rocks and compose high-velocity roots of cratons which have remained isolated from technic processes. Edges of the mantle lenses may extend a few hundred kilometers beyond the limits of the cratons and underlie orogenic belts that frame the cratons, and this takes place in the south-western segment of the Siberian craton.The revealed structure of the lithospheric mantle is consistent with independent results of seismic and magmatectonical studies of the region. …”
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Associative Parallel Algorithm for Dynamic Update of the Shortest Paths Tree by A. S. Nepomniaschaya

“…The paper proposes an efficient associative algorithm for dynamic update of the shortest paths tree of a directed weighted graph after deleting an edge. To this end, we provide the data structure and its building along with the STAR–machine that simulates the run of associative (content–addressable) parallel systems with simple single–bit processing elements and vertical processing. …”
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Advanced Numerical Evaluation of the Jet Fire Caused by Accidental Releases of Liquid Hydrogen by Gianmaria Pio, Ernesto Salzano, Alessandro Tugnoli

“…Considering the ongoing energy transition and the role of hydrogen within the process, a complete and comprehensive understanding of the safety aspects of hydrogen storage technologies is paramount to guarantee the sustainable development of these alternative solutions at an industrial scale. …”
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A feedforward mechanism for human-like contour integration. by Fenil R Doshi, Talia Konkle, George A Alvarez

“…Deep neural network models provide a powerful experimental platform for exploring core mechanisms underlying human visual perception, such as perceptual grouping and contour integration-the process of linking local edge elements to arrive at a unified perceptual representation of a complete contour. …”
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Cloud microphysical response to entrainment of dry air containing aerosols by Jae Min Yeom, Hamed Fahandezh Sadi, Jesse C. Anderson, Fan Yang, Will Cantrell, Raymond A. Shaw

“…Aerosol particles entrained at cloud top and edge can affect cloud microphysical and macrophysical properties, but the process is still poorly understood. …”
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