Study on the Safety Thickness of Three Zones against Fault Water Inrush: Case Study and Model Development by Yongqian Wang, Benshui Yang, Jun Zhang

“…Among the above accidents, the water inrush disaster caused by the water-rich water-conducting fault zone is the largest. Considering the complexity of geological structure and the suddenness of water inrush, reserving a reasonable thickness of waterproof coal pillars in front of the fault tectonic belt can effectively predict and control the occurrence of water inrush. …”
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Energy-Efficient Optimization of mm-Wave Communication Using a Novel Approach of Beamspace MIMO-NOMA by Ammar A. Majeed, Ismail Hburi

“…Specifically, we propose and develop an iterative algorithm with a low complexity that achieves near-perfect performance. The proposed scheme, named MSE-DPA (for Mean-Square-Error-Based Dynamic Power Allocation Algorithm), is checked to ensure this validity of Figure-of-Merit. …”
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Minimum Critical Test Scenario Set Selection for Autonomous Vehicles Prior to First Deployment and Public Road Testing by Balint Toth, Zsolt Szalay

“…The growing complexity of autonomous vehicle functionalities poses significant challenges for vehicle testing, validation, and regulatory approval. …”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

“…The proposed integrated model employs complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to decompose time series data into a sequence of intrinsic mode functions of lower complexity. Further, permutation entropy is employed to extract the complexity of IMFs for filtering and reconstruction of decomposed components to alleviate the difficulty of direct modeling. …”
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TMN-Net: A Hybrid 2.5D Multi-Branch Transformer Network for Coronary Artery Segmentation in Cardiac Diagnosis by Bo Zhao, Jianjun Peng, Kai Zhang, Yongyan Fan, Ce Chen, Yang Zhang

“…Qualitative evaluations and attention heatmaps highlight the model’s ability to preserve vessel continuity, capture distal branches, and ensure accurate boundary delineation. These advancements confirm TMN-Net’s efficacy in handling the anatomical complexity and imaging variability inherent in coronary artery segmentation.…”
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Efficient Gamma-Based Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement by Huitao Zhao, Shaoping Xu, Liang Peng, Hanyang Hu, Shunliang Jiang

“…However, this progress has been accompanied by an increase in model complexity, imposing significant constraints on applications that demand high real-time performance. …”
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LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images by Junqing Huang, Xiaochen Yuan, Chan-Tong Lam, Yapeng Wang, Min Xia

“…However, due to the complexity of LCCD tasks, integrating global and local features and fusing contextual information from remote sensing features are essential. …”
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Pharmacist-led surgical medicines prescription optimization and prediction service improves patient outcomes - a machine learning based study by Xianlin Li, Xianlin Li, Xiunan Yue, Lan Zhang, Xiaojun Zheng, Nan Shang

“…BackgroundOptimizing prescription practices for surgical patients is crucial due to the complexity and sensitivity of their medication regimens. …”
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Analisis Penerimaan Sistem Informasi Manajemen BPJS Kesehatan Layanan Primary Care di UPTD Puskesmas Kabupaten Banyumas by Yusmedi Nurfaizal, Rizki Wahyudi

“…The results of the analysis of the data show that the complexity and perceived ease of use variables have an impact on the perception of benefits with a constant value of 5.633. …”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…However, the variability and complexity of ECG signals make AF classification challenging, highlighting the need for more accurate and reliable methods. …”
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Supply Chain Management Control in the Aerospace Sector: An Empirical Approach by Gonzalo Torralba-Carnerero, Manuel García-Nieto, Juan Manuel Ramón-Jerónimo, Raquel Flórez-López

“…This is especially important given the complexity of aircraft manufacturing, the globalization of supply chains, and the requirement to meet stringent regulatory standards. …”
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Vehicle Trajectory Prediction by Knowledge-Driven LSTM Network in Urban Environments by Shaobo Wang, Pan Zhao, Biao Yu, Weixin Huang, Huawei Liang

“…An accurate prediction of future trajectories of surrounding vehicles can ensure safe and reasonable interaction between intelligent vehicles and other types of vehicles. …”
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Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

“…However, accurately predicting its compressive strength remains challenging owing to the complexity and variability inherent in mix designs. …”
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Adaptive Polynomial Approximation-Based Data-Driven Model of Parameter Design for Bidirectional L-LLC Converter by Xin Zhou, Huan Luo, Buxiang Zhou

“…To reduce computational complexity, the adaptive polynomial approximation (APA) method is employed to fit the constraints and optimization objectives, thus the surrogate model is constructed. …”
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RWA-BFT: Reputation-Weighted Asynchronous BFT for Large-Scale IoT by Guanwei Jia, Zhaoyu Shen, Hongye Sun, Jingbo Xin, Dongyu Wang

“…To address these limitations, RWA-BFT adopts a two-layer blockchain architecture; the first layer leverages reputation-based filtering to reduce computational complexity by excluding low-reputation nodes, while the second layer employs an asynchronous consensus mechanism to ensure efficient and secure communication among high-reputation nodes, even under network delays. …”
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UFOS-Net leverages small-scale feature fusion for diabetic foot ulcer segmentation by Chenxu Jiao, Xiaodong Zhao, Lin Li, Chiyu Wang, Yixin Chen

“…Existing DFU datasets are limited in capturing the diversity and complexity of ulcer manifestations, preventing advancements in medical segmentation. …”
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Robustness and resilience of energy systems to extreme events: A review of assessment methods and strategies by Kasra Shafiei, Saeid Ghassem Zadeh, Mehrdad Tarafdar Hagh

“…This study presents an overview of robustness resilience metrics and examines their usefulness in networks. The computational complexity of the resilience indicators examined in this study is also explored. …”
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Understanding the Rise and Fall of Rural Specialty Agriculture from Social–Ecological Land System Perspective: A Longitudinal Case Study in China by Xue Wang, Mingyu Wang, Lianbing Gong, Chuangchuang Yu

“…However, existing studies often emphasize socio-institutional successes while oversimplifying ecological complexity and neglecting failures. This study examines the rise and fall of rural specialty agriculture through a social–ecological land system perspective, using the cherry tomato industry in C Town, China, as a case study. …”
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CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring by Pius Gyamenah, Hari Iyer, Heejin Jeong, Shenghan Guo

“…This framework mitigates the effect of environmental complexity by focusing on critical joint coordinates relevant to manufacturing tasks. …”
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Enhancing Approach for Information Security in Hadoop by Raghad Z. Yousif, Shahab W. Kareem, Shadan M. Abdalwahid

“…The hybrid method presents more powerful computational complexity and smaller latency as compared to the RSA cryptosystem alone.…”
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