Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…Manually processing complex vocalization data is time-consuming and potentially subjective, and therefore, we developed an algorithm that automatically detects mouse ultrasonic vocalizations (Automatic Mouse Ultrasound Detector or A-MUD). …”
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ESR investigation of NR and IR rubber vulcanized with different cross-link agents by P. Posadas, M. A. Malmierca, A. Gonzalez-Jimenez, L. Ibarra, A. Rodriguez, J. L. Valentin, T. Nagaoka, H. Yajima, S. Toki, J. Che, L. Rong, B. S. Hsiao

“…Vulcanization of NR and IR always shows a radical pathway, where the different vulcanization systems dictate the concentration of radical species in the course of this complex process. The greatest concentration of radicals were detected during the vulcanization with sulfur/accelerator based on efficient systems (EV), followed by conventional (CV) and sulfur donor systems, whereas azide and organic peroxide agents showed smaller concentration of radicals. …”
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Online Identification of Aircraft Model Parameters Based on Recursive Least Squares Method by JIANG Yongming, WANG Changqing, XU Cheng

“…However, this method is only suitable for simple linear models and cannot be directly adopted for nonlinear complex motion models.…”
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Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

“…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. …”
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E-Commerce Image Enhancement Method Based on Instance Segmentation and Background Replacement by Qiang Gao, Huiping Hu, Wei Liu

“…However, existing image enhancement methods often struggle to balance high-quality visual effects with computational efficiency, especially when handling complex and diverse datasets. …”
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Machine vision-based testing action recognition method for robotic testing of mobile application by Tao Zhang, Zhengqi Su, Jing Cheng, Feng Xue, Shengyu Liu

“…However, the difficulty of estimating multi-dimensional gestures in 2D images leads to complex algorithm steps, including tracking, detection, and recognition of dynamic gestures. …”
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Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…Graphs are widely used in applications such as social network analysis, bioinformatics, and recommendation systems to represent relationships and complex dependencies. Subgraph matching, which involves finding instances of a query subgraph within a larger graph, is crucial for tasks such as fraud detection, pattern recognition, and semantic search. …”
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EG-VAN: A Global and Local Attention-Based Dual-Branch Ensemble Network With Advanced Color Balancing for Multi-Class Skin Cancer Recognition by Adnan Saeed, Khurram Shehzad, Saim Ahmed, Ahmad Taher Azar

“…Despite their sophistication, existing methods struggle to generalize well across diverse cases, and their computational complexity often limits real-world applicability. To address these challenges, we introduce a novel dual-path architecture in the Efficient Global-Vision Attention-Net (EG-VAN) for early detection of skin cancer. …”
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Token Mixing for Breast Cancer Diagnosis: Pre-Trained MLP-Mixer Models on Mammograms by Hosameldin O. A. Ahmed, Asoke K. Nandi

“…Breast cancer remains a leading cause of mortality among women, necessitating accurate and computationally efficient diagnostic solutions. Deep learning, particularly convolutional neural networks (CNNs), has significantly advanced mammographic analysis by automating feature extraction and improving early detection. …”
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Hierarchical Reinforcement Learning with Automatic Curriculum Generation for Unmanned Combat Aerial Vehicle Tactical Decision-Making in Autonomous Air Combat by Yang Li, Wenhan Dong, Pin Zhang, Hengang Zhai, Guangqi Li

“…Additionally, the visual analysis of UCAVs’ flight logs validates the learned hierarchical decision-making process, showcasing the interplay between tactical selection and manoeuvring execution. This research provides novel methodologies combining hierarchical reinforcement learning with tactical domain knowledge for the autonomous decision-making of UCAVs in complex air combat scenarios.…”
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Evaluating the effect of digital elevation model resolution in lahar hazard simulations: insights from the 1877 Cotopaxi scenario, Ecuador by Francisco J. Vasconez, Francisco J. Vasconez, Jeremy C. Phillips, S. Daniel Andrade, Mark J. Woodhouse

“…This work provides a quantitative framework to guide DEM selection, balancing computational efficiency with predictive fidelity in lahar hazard assessment.…”
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The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries by Ifrah Hameed, Hafiz Muhammad Haseeb Khaliq

“…Sophisticated AI algorithms have started to analyze complex types of medical data such as medical images, patient reports, and histories. …”
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Metaanalyzing Foucault’s Archaeology Theory by Masoud Zare Mehrjardy, Ali Yousofi, Saeideh Mirabi

“…The most important criticisms of archaeology are the neglect of political and historical complexities, the failure of the archaeology of knowledge as the subject of succession to epistemology, and philosophical vacuum and refusal to search for a meaningful source for restoring the scattered historical determination of human.…”
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Addressing data scarcity in speech emotion recognition: A comprehensive review by Samuel Kakuba, Dong Seog Han

“…These signals encode complex relationships between features at multiple time scales, effectively reflecting a speaker’s emotional state. …”
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Development of the clinical trial site performance metrics instrument: A study protocol by Mattia Bozzetti, Rosario Caruso, Silvia Soncini, Monica Guberti

“…Clinical trials (CTs) are essential for medical advancements, yet their increasing complexity and cost demand improved efficiency in trial management. …”
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An Innovative Strategy for Untargeted Mass Spectrometry Data Analysis: Rapid Chemical Profiling of the Medicinal Plant <i>Terminalia chebula</i> Using Ultra-High-Performance Liquid... by Jia Yu, Xinyan Zhao, Yuqi He, Yi Zhang, Ce Tang

“…This strategy demonstrates high efficiency in resolving complex polyphenolic and triterpenoid profiles and enables rapid annotation of both known and novel metabolites. …”
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A rapid calculation method for dynamic linepack of natural gas by coupling data and mechanism models by Xiong YIN, Jing ZHANG, Fei YANG, Yumo ZHU, Kenan SONG, Jinliang GENG, Kai WEN, Jing GONG

“…Additionally, the dynamic linepack calculation method relies on complex online simulation systems, resulting in low calculation efficiency and challenges in meeting practical application needs. …”
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Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…This approach reduces algorithm training complexity by abstracting away intricate workpiece allocation details. …”
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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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Harnessing chitosan for zinc and hydroxychloroquine delivery, interactions with fibronectin, and antibacterial activity by Anju Manuja, Juhi Nagra, Dharvi Chhabra, Kanish Manuja, Monika Sihag, Minakshi Prasad, Balvinder Kumar

“…Chitosan, a natural polysaccharide derived from chitin, has gained attention for its dual role as an effective delivery method and as an antibacterial agent. Chitosan was selected as an efficient carrier for zinc (Zn) and hydroxychloroquine (HC) due to its ability to mitigate their adverse effects. …”
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