Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…In addition, this paper also adopts the amplitude-based layer adaptive sparse pruning algorithm (LAMP) to further compress the model size while maintaining efficient detection performance. Through this pruning strategy, the model further reduces its dependence on computing resources while maintaining key performance. …”
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The uncompleted privatization of functional land in Slovenia and attempts at its renationalization by Vlahek Ana, Damjan Matija

“…Problems arising from the privatization of real estate, which can be detected all over the former Yugoslavia, typically affect functional land, i.e. land directly intended for the regular use and functioning of a building. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…Recently, the concept of “blessing of dimensionality” has successfully been used to treat high-dimensional data and representations of reality. …”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

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Myoglobin expression improves T-cell metabolism and antitumor effector function by Haifeng C Xu, Diran Herebian, Ertan Mayatepek, Dirk Brenner, Aleksandra A Pandyra, Philipp A Lang, Sascha Dietrich, Julia Werner, Georgios Theodorakis, Ichiro Katahira, Mitrajit Ghosh, Michal Gorzkiewicz, Luisa de Sousa Santos, Ann Kathrin Bergmann, Max Anstötz, Anne Busch, Carsten Berndt

“…Although T cells expressing Mb exhibited increased expression of effector cytokines, PD-1 was still detected and targetable by anti-PD-1 monoclonal antibodies, which in combination with transfer of Mb-expressing T cells demonstrated maximal efficacy in delaying tumor growth.Conclusion Taken together, we show that expression of Mb in T cells can increase their metabolism, infiltration into the tumor tissue, and effector function against cancer cells.…”
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Highly Efficient Biphoton Generation from Thin Dense Atomic Ensemble by Heewoo Kim, Hansol Jeong, Han Seb Moon

“…Strongly correlated bright biphotons are generated via spontaneous four‐wave mixing from a dense atomic ensemble based on the 6S1/2–6P3/2–6D5/2 transition of 133Cs. Biphoton source achieves a detected biphoton count rate of 100 kilo‐counts per second, a heralding efficiency of 15%, and a maximum normalized crosscorrelation function value of 100 between the signal and idler photons, despite the low detector efficiency of a silicon avalanche photodetector being less than 25% at 917 nm. …”
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Ti3C2Tx@Pt nanocomposite based colorimetric and electrochemical dual-mode platform for glucose detection by Xuming Sun, Mingyan Zhang, Jinlong Chang, Linyan Xie, Qiongqiong Ren, Wenshuai Jiang, Zhen Jin, Shiqi Pan, Xiuli Yang, Wu Ren

“…Glucose is the main source of energy in cellular metabolism and is essential for normal cellular function and growth. …”
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ChiMSource improves the accuracy of studies on novel amino acid sequences by predicting alternative sources of mass spectrometry-derived peptides by Umut Çakır, Noujoud Gabed, Ali Yurtseven, Igor Kryvoruchko

“…Here, we present a highly flexible program that predicts alternative chimeric and non-chimeric sources of peptides detected by MS proteomics.…”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance imaging (fMRI) data. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

“…As containers for chemical storage, storage tanks are potential sources of hazards. Conducting target detection for hazard risk analysis is essential. …”
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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…A single network is used to simultaneously recognize large-sized coal blocks, detect belt edges, and detect coal flow status. Compared with using a separate model for each task, integrating three different necks and heads into a model with a shared backbone can save a lot of computing resources and inference time. …”
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Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

“…Seventeen ML algorithms were applied to a dataset of voice recordings from Healthy Control and PD individuals, sourced from a publicly available repository. We leveraged the PyCaret Python library's ML algorithms and functions, which were introduced in this article, to demonstrate their simplicity and effectiveness in dealing with real-world data. …”
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G-RCenterNet: Reinforced CenterNet for Robotic Arm Grasp Detection by Jimeng Bai, Guohua Cao

“…In industrial applications, robotic arm grasp detection tasks frequently suffer from inadequate accuracy and success rates, which result in reduced operational efficiency. …”
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GIRH-Unet: Improved Residual Tobacco Segmentation Algorithm Based on GhostNetV3-Unet by Jianhua Ye, Yunda Zhang, Pan Li, Ze Guo

“…Practical application in the production environment confirms that the proposed method successfully segments fine residual tobacco in complex backgrounds and meets the detection requirements relevant to the production site.…”
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Integrated Functional Analysis of the Nuclear Proteome of Classically and Alternatively Activated Macrophages by John E. Wiktorowicz, Imran H. Chowdhury, Susan Stafford, Subhadip Choudhuri, Nilay Dey, Nisha J. Garg

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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

“…Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable principles embraced by smart cities. …”
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Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…RetinaNet, a premier single-stage object detector, is renowned for its remarkable balance between speed and accuracy. Its success is largely due to the groundbreaking focal loss function, which adeptly addresses the issue of class imbalance prevalent in object detection tasks. …”
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SSB: Smart Contract Security Detection Tool Suitable for Industrial Control Scenarios by Ci Tao, Shuai He, Xingqiu Shen

“…The framework’s ability to model industrial invariants—covering security, functionality, consistency, time-related, and resource consumption aspects—provides a robust mechanism to prevent critical errors like unauthorized access or premature equipment operation. …”
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Application of metal nanoparticle-loaded nanocomposites for extraction, removal, and detection of mycotoxins in foods by Mehdi Maham, Reza Abedi-Firoozjah, Mohammad Hadi Moradiyan, Maryam Azizi Lalabadi, Elham Assadpour, Hamed Ahari, Seid Mahdi Jafari

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Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…High-precision underwater object detection is a crucial component for improving the efficiency of marine resource development. …”
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