Spectroscopic Evolution in Ice Analogs of Trans-Neptunian Objects Exposed to Ionizing Radiation. I. Visible Reflectance Spectra and Colors by Chaojiang Zhang, Jia Wang, Andrew M. Turner, Leslie A. Young, Ralf I. Kaiser

“…Trans-Neptunian objects (TNOs) exhibit a color diversity containing a wealth of clues for understanding complex compositions and the formation history of our solar system. …”
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Key nodes identification in complex networks based on subnetwork feature extraction by Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo

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MATHEMATICAL MODEL OF COMPLEX PROTECTION OF AN INFOCOMMUNICATION OBJECT BASED ON "PLAYING WITH NATURE" by I. S. Klimenko

“…The algorithm of formalization of protection processes is proposed, which ensures efficient use of resources when detecting possible incidents of violation of the protection system and/or unauthorized access. …”
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Deposit thickness control of the heat exchange equipment by hardware and software complex by E. V. Garnyshova, E. V. Izmaylova, Yu. V. Vankov

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Rapid equivalent simplification algorithm for complex underground mine ventilation networks by Jinzhang JIA, Wentian SHANG, Jian LIU, Lijun Deng

“…To address these challenges, a rapid equivalent simplification algorithm for complex mine ventilation networks is proposed. This algorithm employs strong connectivity component algorithms from graph theory to swiftly detect unidirectional loops within the network. …”
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Attention-enhanced StrongSORT for robust vehicle tracking in complex environments by Wei Xu, Xiaodong Du, Ruochen Li, Bingjie Li, Yuhu Jiao, Lei Xing

“…Third, the optimized CBH-Conv module employs Hardswish activation and depthwise separable convolution to mitigate gradient vanishing while maintaining real-time efficiency (achieving a 17% MOTA improvement at 213 FPS).Evaluated on the MOT-16 dataset, AE-StrongSORT demonstrates substantial improvements over the baseline StrongSORT, with 17%, 2.78%, and 9.99% gains in MOTA, HOTA, and IDF1 metrics respectively, alongside significant reductions in false/missed detections. …”
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A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

“…Experiments demonstrate that in complex lighting scenarios, FasterEVPoints boasts 95% detection accuracy on a proprietary dataset with a positioning error of less than 2 cm at a 50 cm distance. …”
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Advanced Object Detection for Maritime Fire Safety by Fazliddin Makhmudov, Sabina Umirzakova, Alpamis Kutlimuratov, Akmalbek Abdusalomov, Young-Im Cho

“…To address the specific challenges of shipboard fire and smoke detection, such as varying lighting conditions, occlusions, and the complex structure of ships, we enhance the baseline DETR model by integrating EfficientNet-B0 as the backbone. …”
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Factor interaction in prevention of torture Reflections based on Carver and Handley’s research (with Comment by the authors of the book and Response by the author of the paper) by Hans Draminsky Petersen

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Detecting Signatures of Criticality Using Divergence Rate by Tenzin Chan, De Wen Soh, Christopher Hillar

“…In biology especially, these signatures of criticality are thought to be connected with efficient computation and information processing. Guided by the classical theory of rate–distortion (RD) from information theory, we propose a measure for detecting and characterizing such phenomena from data. …”
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Assessing the Impact of Rural Development for the Agro-Industrial Complex of the Russian Federation by N. A. Vladimirov

“…These indexes reflect the demand for the agricultural industry in the region; show the importance of the industry and the prospects for its development.Based on these indexes, the cluster analysis of the constituent entities of the Russian Federation identified six groups of regions with similar vectors for the development of the agro-industrial complex. …”
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Lightweight framework for misbehavior detection in internet of vehicles by Yujing Gong, Bin-Jie Hu

“…Despite LTC and CFC having significantly fewer parameters, making them less complex and more space-efficient than CNN-LSTM, the latter proves to be more time-efficient. …”
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Hierarchical Information-guided robotic grasp detection by Zeyao Hou, Yueran Zhao, Yutao Jin, Chao Yang, Zongyu He, Xiaoyan Chen

“…Abstract With the advancement of deep learning, robotic grasping has seen widespread application in fields, becoming a critical component in enhancing automation. Accurate and efficient grasping capabilities not only significantly boost productivity but also ensure safety and reliability in complex and dynamic environments. …”
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Recursive Sentiment Detection Algorithm for Russian Sentences by Anatoliy Y. Poletaev, Ilya V. Paramonov

“…To measure the algorithm efficiency on complex sentences, we created OpenSentimentCorpus based on OpenCorpora, an open corpus of sentences extracted from Russian news and periodicals. …”
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Molecular imprinting and nanomaterial synergy for lactate detection by Christopher Animashaun, Gymama Slaughter

“…Key fabrication strategies, such as electropolymerization, green nanomaterial synthesis, and surface imprinting, are critically examined for their roles in optimizing imprinting sensitivity and electron transfer efficiency. Application areas span real-time lactate monitoring in wearable health devices to environmental surveillance in complex matrices. …”
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Optimized Faster R-CNN with Swintransformer for Robust Multi-Class Wildfire Detection by Sugi Choi, Sunghwan Kim, Haiyoung Jung

“…Wildfires are a critical global threat, emphasizing the need for efficient detection systems capable of identifying fires and distinguishing fire-related from non-fire events in their early stages. …”
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Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection by Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis, Iosif Mporas

“…Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and libraries are available that need to be explored, third, a wide range of edge devices are available with different computation and memory constraints. …”
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Automated anomaly detection of IPTV user experience by Xiaomin TAN, Ai FANG, Duo JIN, Changjiang LI

“…The practice indicates that the algorithm with low calculation cost adapts to abnormal changes in the network and detect anomalies accurately and quickly, which reduces labor costs, improves operation efficiency and promotes intelligent operation.…”
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An overview of ahead geological detection technologies in tunnels by Dingchao Chen, Xiangyu Wang, Jianbiao Bai, Yuan Chu, Xian Wang, Jiaxin Zhao, Menglong Li

“…The rapid advancement of ahead geological detection technologies has been crucial to addressing the challenges posed by complex underground environments in tunnel construction. …”
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Research on lidar target detection for metro scene by PAN Wenbo, LI Cheng, YUAN Xiwen, LONG Teng, ZENG Xiang, XIE Guotao

“…Aiming at the problems of difficult real-time construction of train running forward boundary and complex cluster detection of unstructured track and road environment targets, a lidar based on target detection and forward boundary real-time construction system was proposed. …”
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