Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…Nonetheless, higher scene complexity and image entropy reduce the applicability of precise FVC extraction methods. …”
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AI in Marketing Management: Executive Perspectives from Companies

“…The findings reveal that effort expectancy and facilitating conditions are critical drivers of AI adoption. AI aversion, reflecting concerns about distrust, complexity, and ethical risks, emerges as a significant barrier, particularly for CEOs of smaller firms, where its impact is notably stronger. …”
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Effects of startle on cognitive performance and physiological activity revealed by fNIRS and thermal imaging by Flora Schwartz, Jonathan Deniel, Mickaël Causse

“…These results underscore the complexity of startle-induced cognitive and physiological dynamics, which may have implications for occupational settings where managing sudden stressors is crucial.…”
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Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management by Yusuke Nomura, Ziang Liu, Tatsushi Nishi

“…However, introducing dynamic pricing significantly increases the complexity of the problem. To tackle this challenge, we propose eliminating irrational actions in dynamic programming without sacrificing optimality. …”
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Grid Partition-Based Dynamic Spatial–Temporal Graph Convolutional Network for Large-Scale Traffic Flow Forecasting by Lifeng Gao, Liujia Chen, Agen Qiu, Qinglian Wang, Jianlong Wang, Cai Chen, Fuhao Zhang, Geli Ou’er

“…Accurate forecasting of city-level large-scale traffic flow is crucial for efficient traffic management and effective transport planning. …”
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The impact of Parkinson’s Disease on interlimb coordination: a scoping review of gait adaptability by Morteza Farivar, Boglarka S. Huddleston, Adam C. King, Adam C. King

“…IntroductionInterlimb coordination, the synchronization of movements between limbs, is essential for efficient and stable human movement. Disruptions in coordination contribute to gait dysfunction, a common challenge for individuals with Parkinson’s disease (PD). …”
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Sign-Entropy Regularization for Personalized Federated Learning by Koffka Khan

“…Motivated by Descartes’ Rule of Signs, we hypothesize that frequent sign changes in gradient trajectories reflect complexity in the local loss landscape. By minimizing the entropy of gradient sign patterns during local updates, SER encourages smoother optimization paths, improves convergence stability, and enhances personalization. …”
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RepVGG-MEM: A Lightweight Model for Garbage Classification Achieving a Balance Between Accuracy and Speed by Qiuxin Si, Sang Ik Han

“…Furthermore, the model’s redundancy is minimized through pruning techniques, which significantly reduce both complexity and computational overhead. The optimal pruned version of the model is designated as RepVGG-MEM5. …”
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PAB-Mamba-YOLO: VSSM assists in YOLO for aggressive behavior detection among weaned piglets by Xue Xia, Ning Zhang, Zhibin Guan, Xin Chai, Shixin Ma, Xiujuan Chai, Tan Sun

“…The model achieved a detection speed FPS of 69 f/s, with model complexity measured by 7.2 G floating-point operations (GFLOPs) and parameters (Params) of 2.63 million. …”
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Forecasting urban expansion: A dynamic urban growth model using DS-ConvLSTM to simulate multi-land regulation scenarios by Juyeong Nam, Changyeon Lee

“…Integrating 40 years of data, DS-ConvLSTM demonstrated superior performance compared to existing models, such as Convolutional Long Short-Term Memory (ConvLSTM), achieving an accuracy, F1-score, and Figure of Merit of 0.9801, 0.9510, and 0.8092, respectively. Notably, its efficient design reduces the network parameters by more than half compared to the ConvLSTM model, thereby decreasing model complexity. …”
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Optimization of household medical waste recycling logistics routes: Considering contamination risks. by Jihui Hu, Ying Zhang, Yanqiu Liu, Jiaqi Hou, Aobei Zhang

“…The complexity inherent in the optimization problem has motivated the development of the Adaptive Hybrid Artificial Fish Swarming Algorithm with Non-Dominated Sorting (AH-NSAFSA). …”
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Evaluating urban intersections: a comparative study of roundabouts versus protected U-turns—which is better? by Nawaf Alnawmasi, Hisham Jashami, Qiuqi Cai

“…This study aims to explore these complexities by analyzing the effectiveness of roundabouts and protected U-turns in the context of the unique urban landscape of the Hail City in Saudi Arabia. …”
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Chromosome-Level Genome Assembly and Comparative Transcriptome Analyses Identified Energy Conservation as a Key Strategy for Anadromous Adaptation of the Hilsa Shad, <i>Tenualosa i... by Kishor Kumar Sarker, Liang Lu, Roland Nathan Mandal, Md Rashedur Rahman, Anirban Sarker, Mohammad Abdul Baki, Chenhong Li

“…We detected 1298 and 252 differentially expressed transcripts between sea and freshwater in the liver and muscle of <i>T. ilisha</i>, respectively, reflecting habitat and organ-specific adaptations. Co-expression analysis led us to hypothesize that the strength required for breeding migration toward upstream rivers is fueled by muscle protein catabolism forming ubiquitin-proteasomal complexes. …”
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Impact of Biochar Addition on Biofloc Nitrifying Bacteria and Inorganic Nitrogen Dynamics in an Intensive Aquaculture System of Shrimp by Wujie Xu, Demin Zhang, Haochang Su, Yu Xu, Xiaojuan Hu, Guoliang Wen, Yucheng Cao

“…Metagenomic sequencing analysis revealed that the bacterial community composition of bioflocs showed higher α-diversity and complexity in the biochar group compared to the molasses group. …”
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Mapping the computational similarity of individual neurons within large-scale ensemble recordings using the SIMNETS analysis framework by Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Jacqueline B. Hynes, Jacqueline B. Hynes, David M. Brandman, Jonas B. Zimmermann, John P. Donoghue, John P. Donoghue, John P. Donoghue, John P. Donoghue

“…At the same time, the growing scale and complexity of these datasets introduce new conceptual and technical challenges beyond what can be addressed using traditional analysis techniques. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…Optimization can efficiently achieve various objective functions in power systems. …”
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Millimeter-Wave Imaging with Range-Resolved 3D Depth Extraction Using Glow Discharge Detection and Frequency-Modulated Continuous Wave Radar by Arun Ramachandra Kurup, Daniel Rozban, Amir Abramovich, Yitzhak Yitzhaky, Natan Kopeika

“…The Frequency-Modulated Continuous Wave (FMCW) signal source is split into target and reference paths via a compact waveguide splitter, improving stability and reducing the complexity of the optical setup. Reflected signals are processed by the GDD, which functions as a heterodyne receiver, and Fast Fourier Transform (FFT) is used to extract range data. …”
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DATA MINING IN RELATIONAL SYSTEMS by Valentin Filatov, Valerii Semenets, Oleg Zolotukhin

“…On the one hand, associative rules are close to logical models, which makes it possible to organize efficient inference procedures on them, and on the other hand, they more clearly reflect knowledge than classical models. …”
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STREAM: a system for tracing radiative transfer and energy balance in heterogeneous surfaces by Tengyuan Fan, Zunjian Bian, Jean-Louis Roujean, Huaguo Huang, Hua Li, Junhua Bai, Biao Cao, Yongming Du, Qing Xiao, Qinhuo Liu

“…Observations from thermal infrared (TIR) remote sensing can only reflect a short period thermal information, although it provides an effective method for global and local LST products. …”
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EML-SlowFast: A behavior recognition model for lion-head goose by Jinwei Wang, Zhiguo Du, Bin Wen, Zhihui Wu, Xudong Lin

“…Compared to commonly used behavior recognition models, the EML-SlowFast model has effective recognition of lion-head goose behaviors while maintaining low computational complexity, which is beneficial for deployment and use in scenarios with low computational resources. …”
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