Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and mortality among hypertension patients by Xiaozhou Su, Huiqing Rao, Chunli Zhao, Jiehua Wu, XianWei Zhang, Donghua Li

“…Below these thresholds, NHHR was negatively associated with mortality, while values above the thresholds were positively associated. …”
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Realtime Monitoring of Animal Behavior Using Deep Learning Models by Romesa Rao, Salman Qadri, Rao Kashif

“…The random forest model achieved the highest accuracy in detecting "standing" and "aggressive" behaviors, while lower accuracy was observed for "eating" behavior. …”
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On the Convergence of Normal and Curvature Calculations with the Height Function Method for Two-Phase Flow by Antonio Cervone, Sandro Manservisi, Jieyun Pan, Ruben Scardovelli, Stéphane Zaleski

“…We propose a numerical algorithm to interpolate the geometrical data that removes the inconsistency between theoretical and numerical results presented in many papers. …”
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Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

“…The proposed method integrates discrete wavelet transform (DWT) for multi-scale feature extraction, a novel reduced kernel partial least squares (Red-KPLS) algorithm for feature reduction, and ResNet-50 for classification. …”
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Unearthing large pseudoscalar Yukawa couplings with machine learning by Fernando Abreu de Souza, Rafael Boto, Miguel Crispim Romão, Pedro N. Figueiredo, Jorge C. Romão, João P. Silva

“…To explore the parameter space of the model, we employ a Machine Learning algorithm that significantly enhances sampling efficiency. …”
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Nonlinear Model Predictive Control for Trajectory Tracking of Omnidirectional Robot Using Resilient Propagation by Mahmoud El-Sayyah, Mohamad R. Saad, Maarouf Saad

“…This paper proposes an enhanced Nonlinear Model Predictive Control (NMPC) framework that incorporates a robust, convergent variant of the resilient propagation (RPROP) algorithm to efficiently solve the Nonlinear Optimization Problem (NOP) in real time. …”
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Automated Construction and Mining of Text-Based Modern Chinese Character Databases: A Case Study of Fujian by Xueyan Jian, Wen Yuan, Wu Yuan, Xinqi Gao, Rong Wang

“…The character state transition matrix reveals the spatio-temporal evolution of historical figures, while the random walk algorithm identifies their primary migration patterns. …”
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Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms by Mingyu Hong, Jiarong Wang, Ming Zhu, Shenyi Cao, Haitao Nie, Xiangdong Xu

“…Notably, the key tracking metric, MOTA, achieves a value of 90.7%, while the IDF1 score reaches 94.6%. The findings from the experiments indicate that the proposed algorithm surpasses current methodologies regarding effectiveness, accuracy, and robustness in the context of infrared multi-target tracking tasks, thereby meeting the requirements associated with airborne infrared target tracking tasks.…”
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Dynamic truck and trailer routing problem for last mile distribution in disaster response by Meilinda F.N. Maghfiroh, Shinya Hanaoka

“…Design/methodology/approach – The modified simulated annealing algorithm with variable neighborhood search for local search is used to solve the last mile distribution model based on the criterion of total travel time. …”
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An optimized multi-task contrastive learning framework for HIFU lesion detection and segmentation by Matineh Zavar, Hamid Reza Ghaffari, Hamid Tabatabaee

“…By employing a genetic algorithm, OMCLF explores and optimizes augmentation techniques suitable for medical data, avoiding distortions that could compromise diagnostic accuracy. …”
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Power Adaptation for Optimizing Secrecy Energy Efficiency in NOMA-Enabled Underlay Cognitive Radio Networks and DNN-Based Evaluation by P. P. Hema, A. V. Babu

“…Subsequently, joint optimal transmit power allocation (JOTPA) is ascertained for the secondary users (SUs) at the secondary transmitter and the secondary relay, with the aim of maximizing the SEE while satisfying constraints on tolerable interference power at the primary receiver and minimum data rates for the SUs. …”
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A Hypergraph powered approach to Phenotype-driven Gene Prioritization and Rare Disease Prediction by Shrinithi Natarajan, Niveditha Kundapuram, Nisarga Bhaskar, Sai Sailaja Policharla, Bhaskarjyoti Das

“…While the study provides valuable insights, it is important to note its limitations, such as the sample size and scope of diseases considered. …”
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Spike Stall Precursor Detection in a Single-Stage Axial Compressor: A Data-Driven Dynamic Modeling Approach by Anish Thapa, Jichao Li, Marco P. Schoen

“…Reducing this margin through active control requires stall precursor detection and mitigation mechanisms. While several algorithms have shown promising results in predicting modal stalls, predicting spike stalls remains a challenge due to their rapid onset, leaving little time for corrective actions. …”
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Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

“…Feature vector optimization is performed using a chaotic particle swarm algorithm, enhancing the model’s overall accuracy, reliability, and ease of implementation. …”
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Intraoperative cerebral oximetry in open heart surgeries reduced postoperative complications: A retrospective study. by Norsham Juliana, Noor Anisah Abu Yazit, Suhaini Kadiman, Kamilah Muhammad Hafidz, Sahar Azmani, Nur Islami Mohd Fahmi Teng, Srijit Das

“…They were treated using a standardized algorithm to maintain rScO2 not lower than 20% of baseline rScO2. …”
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Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines by Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen

“…By integrating random kitchen sinks (RKS) algorithm with KPCA, we achieved a 25.21% reduction in computational time while maintaining model accuracy. …”
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Spatiotemporal patterns of abrupt vegetation changes and reversal trends in the Yellow River Basin: Climate and human drivers by Xiaohui He, Tingwei Fan, Mengjia Qiao

“…Regarding driving factors, positive abrupt changes were primarily driven by moderate warming and extreme precipitation anomalies, while the concentrated positive abrupt changes in 2011 were significantly influenced by the transition between dry and wet years and ecological restoration projects. …”
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Swarm intelligence based classification rule induction (CRI) framework for qualitative and quantitative approach: An application of bankruptcy prediction and credit risk analysis by J. Uthayakumar, T. Vengattaraman, P. Dhavachelvan

“…Most of the earlier research works were carried out on quantitative methods, while few studies have proposed on qualitative methods to improvise the performance of bankruptcy prediction models. …”
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A Configurable Intrinsic Curiosity Module for a Testbed for Developing Intelligent Swarm UAVs by Jawad Mahmood, Muhammad Adil Raja, John Loane, Fergal McCaffery

“…In this testbed, the target UAV is guided by the Advantage Actor-Critic (A2C) model, while a swarm of two tracking UAVs is controlled by using the A3C-ICM approach. …”
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Quasi-preview control: A novel method for active structural vibration control subject to seismic disturbances using adaptive filters and multiple remote seismic observations by Shinya FUJIMURA, Tomohiro WATANABE, Kazuhiko HIRAMOTO

“…The estimated waveform is used for feedforward control, while the structural response is used for feedback control. …”
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