Dynamic Relevance-Weighting-Based Width-Adaptive Auto-Encoder by Malak Almejalli, Ouiem Bchir, Mohamed Maher Ben Ismail

“…This distinctive feature enables the simultaneous learning of both the model parameters and its structure. A newly formulated cost function governs this dual optimization, allowing the hidden layer to expand or contract based on the complexity of the input data. …”
Get full text

Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO) by Cristiano A. Köhler, Sonja Grün, Michael Denker

“…On the other hand, different software codes can implement the same analysis algorithm, while adopting different names to identify functions and parameters. These ambiguities complicate reporting analysis results, e.g., in a manuscript or on a scientific platform. …”
Get full text

Urban Road Network Emergency: An Integrative Vulnerability Identification Method by Huaikun Xiang

“…In the empirical case, a real road network and traffic operation data were used from Science and Technology Park of Shenzhen City, China. …”
Get full text

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction by Vincent Michel, Evelyn Eger, Christine Keribin, Bertrand Thirion

“…Inverse inference has recently become a popular approach for analyzing neuroimaging data, by quantifying the amount of information contained in brain images on perceptual, cognitive, and behavioral parameters. As it outlines brain regions that convey information for an accurate prediction of the parameter of interest, it allows to understand how the corresponding information is encoded in the brain. …”
Get full text

Enhanced YOLOv8 for Efficient Parcel Identification in Disordered Logistics Environments by Han Yu, Zhang Fengshou, Zhuang Gaoshuai, Qu Yuanhao, He Aohui, Duan Qingyang

“…The proposed algorithm introduces the C2f-OR module to reduce parameters and computation, the Conv-Ghost module for efficient feature extraction, and the HIoU loss function to enhance identification accuracy. …”
Get full text

Binary composite crossover genetic algorithm for locating critical slip surface by Wei Qin, Jiancheng Zhao

“…A reasonable combination of parameters for the binary composite crossover (BCC) operator in the RGA-BCC is determined through six benchmark function experiments. …”
Get full text

Human error analysis in the staff of the metal control room industry by CREAM Cognitive Approach by Yaser Lotfi, Hamid Hobobati, Gholamhossein Halvani, Ali Sadri, Raziyeh Soltani, Masoud Rostami, Vida Anoosheh

“…Finally, the primary cognitive error for the four analyzed tasks pertains to the "runtime error", while the key cognitive function linked to the control process in the control room is the action of "communication".…”
Get full text

Joint Optimization of the 3D Model and 6D Pose for Monocular Pose Estimation by Liangchao Guo, Lin Chen, Qiufu Wang, Zhuo Zhang, Xiaoliang Sun

“…To achieve joint optimization, this paper builds the objective function based on the minimization of the reprojection error. …”
Get full text

An Adaptive Unscented Kalman Ilter Integrated Navigation Method Based on the Maximum Versoria Criterion for INS/GNSS Systems by Jiahao Zhang, Kaiqiang Feng, Jie Li, Chunxing Zhang, Xiaokai Wei

“…An adaptive unscented Kalman filter is constructed to enable dynamic adjustment of filter parameters, allowing for real-time adaptation to measurement anomalies. …”
Get full text

ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving by Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong

“…The results of the comparison experiments conducted on the WEDGE dataset show that ADWNet outperforms other object detection models in adverse weather in terms of accuracy, model parameters and FLOPs. To validate ADWNet's real‐world efficacy, data was extracted from a car recorder under adverse conditions on highways, visual inference was conducted, and its accuracy was demonstrated in interpreting real‐world scenarios. …”
Get full text

A discrete extension of the Xgamma random variable: mathematical framework, estimation methods, simulation ranking, and applications to radiation biology and industrial engineering... by Mohamed S. Algolam, Mohamed S. Eliwa, Mohamed El-Dawoody, Mahmoud El-Morshedy

“…These characteristics underscore the distribution's effectiveness in modeling data that exhibit (right-skewed) asymmetry and have extended heavy tails, making it particularly suitable for such real-world applications. Furthermore, the failure rate function corresponding to this distribution is particularly appropriate for scenarios characterized by an increasing or bathtub-shaped failure rate over time. …”
Get full text

A Defect Detection Algorithm for Optoelectronic Detectors Utilizing GLV-YOLO by Xinfang Zhao, Qinghua Lyu, Hui Zeng, Zhuoyi Ling, Zhongsheng Zhai, Hui Lyu, Saffa Riffat, Benyuan Chen, Wanting Wang

“…Furthermore, it improves generalization performance through the utilization of the WIoU loss function, which minimizes geometric penalties. The experimental results showed that the proposed algorithm achieved 98.9% accuracy, with 2.1 million parameters and a computational cost of 7.0 GFLOPs. …”
Get full text

Ultrasound assessment of the association between left atrial remodeling and fibrosis in patients with valvular atrial fibrillation: a clinical investigation by Tao Xu, Haotian Hu, Runyu Zhu, Wenshu Hu, Xinyi Li, Dian Shen, Aoyi Zhang, Chang Zhou

“…Left atrial volume and functional parameters were evaluated using real-time three-dimensional echocardiography (RT-3DE) and two-dimensional speckle tracking imaging (2D-STI) techniques, while left atrial stiffness index (LASI) was calculated accordingly. …”
Get full text

Evaluating hydrogen storage potential of Cs2ABH6: DFT-based approach by Saadi Berri

“…Between 0 and 20 eV, optical spectra calculations are made, taking into account the real and imaginary parts of the dielectric function e(?)…”
Get full text

Poisson XRani Distribution: An Alternative Discrete Distribution for Overdispersed Count Data by Seth Borbye, Suleman Nasiru, Kingsley Kuwubasamni Ajongba

“…In this article, a one-parameter probability mass function called Poisson XRani is proposed by combining the Poisson and the XRani distributions. …”
Get full text

AdaSpline-Net for Improved Short-Term Solar Irradiance Forecasting by Ngiap Tiam Koh, Anurag Sharma, Jianfang Xiao, Cheng Siong Chin, Chin Jun Xing, Wai Lok Woo

“…This study addresses the challenge of modeling complex, nonlinear relationships between weather parameters by introducing an innovative adaptive B-spline activation function. …”
Get full text

Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…Although the study is theoretical in nature, data assumptions are grounded in real-world parameter ranges drawn from validated case studies and academic sources. …”
Get full text

A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…Secondly, the YOLOv8n-seg backbone network was replaced with an improved MobileNetv3 structure for better real-time detection on MT to reduce network parameters and calculations. …”
Get full text

Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning by Muhammad Zubair Yameen, Zhigang Lu, Fayez F. M. El-Sousy, Waqar Younis, Baqar Ali Zardari, Abdul Khalique Junejo

“…The offline phase employs a novel Hybrid Crayfish Optimization and Self-Adaptive Differential Evolution Algorithm (COA-jDE) to minimize the cost function $$U_{offline}$$ , deriving optimal control parameters (Q, R) before real-time deployment. …”
Get full text

CPTU-Based Offshore Wind Monopile Rigid Bearing Mechanism Analysis by Jie Zhou, Renjie Gu, Panpan Shen, Chengjun Liu, Zeyao Li, Kefan Zhu, Zhenming Shi

“…A creative numerical offshore wind power monopile and CPTU combined model is established through COMSOL. A self-compiling parameter function is applied to soil modeling and an innovative mobile boundary function is created to simulate CPTU penetration. …”
Get full text