Accurate prediction of salinity in Chott Djerid shallow aquifers, southern Tunisia: Machine learning model development by Zohra Kraiem, Kamel Zouari, Najiba Chkir

“…The BPNN was able to capture the complex relationship between salinity levels and other aquifer parameters. …”
Get full text

CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8. by Qian Shen, Yi Li, YuXiang Zhang, Lei Zhang, ShiHao Liu, Jinhua Wu

“…In order to improve the real-time and feasibility of traffic sign detection for autonomous driving in complex traffic environments, this paper proposes a small target detection algorithm for traffic signs based on the YOLOv8 model. …”
Get full text

Long-term trends of pH, alkalinity, and hydrogen ion concentration in an upwelling-dominated coastal ecosystem: Ría de Vigo, NW Spain by Sara Cameselle, Antón Velo, María Dolores Doval, Daniel Broullón, Fiz F. Pérez

“…Assessing ocean acidification in the region is complex due to diverse factors influencing coastal carbon dynamics, making predictions more challenging. …”
Get full text

An enhanced machine learning approach with stacking ensemble learner for accurate liver cancer diagnosis using feature selection and gene expression data by Amena Mahmoud, Eiko Takaoka

“…Our method addresses the challenges of high dimensionality and complex patterns in genomic data to improve diagnostic accuracy and interpretability. …”
Get full text

Enhanced Thermal Insulation and Flame-Retardant Properties of Polyvinyl Alcohol-Based Aerogels Composited with Ammonium Polyphosphate and Chitosan by MinYi Luo, Jiayou Xu, Shu Lv, XueFeng Yuan, Xiaolan Liang

“…Both PVA/H3BO3 and APP-CS in the composite aerogel could be burned to carbon, and the foamed char layer could act together to impart the PVA composite aerogels with good flame retardancy. …”
Get full text

Enhancing small target traffic sign detection with ML_SAP in YOLOv5s by Zhenguo Lu, Zhibo Zhu, Weipeng Xu, Guixian Li, Jinyang Chen

“…Abstract Detecting small traffic signs poses significant challenges due to the complex nature and dynamic conditions of real-world traffic scenarios. …”
Get full text

Semi-Supervised Anomaly Detection for the Identification of Damages in an Aerospace Sandwich Structure Based on Synthetically Generated Strain Data by Florian Forsthuber, Christoph Kralovec, Martin Schagerl

“…In this field, machine learning (ML) techniques are attracting growing attention due to their capability to recognize complex patterns, making them very suitable for the identification of damages in operating mechanical structures. …”
Get full text

Justification of the use of elastically deformable belt in combined compaction equipment for asphalt concrete mixtures by O. Yu. Kazakov, A. G. Savelyev

“…The main working element of which is a drum with an offset axis of rotation, which has a multiple effect on the compacted material. This process is a complex, therefore, the article considers the hypothesis of substantiating the feasibility of using an elastic-deformable belt in combined compaction equipment for asphalt concrete mixtures.Materials and methods. …”
Get full text

Cut face roughness analysis under waterjet cutting by Alexey V. Verchenko, Mikhail A. Tamarkin, Alexander A. Kishko

“…It is possible to cut both 3D and 5D complex geometries, for example, to preprocess bladed integrated disks of the gas-turbine engines. …”
Get full text

A proposed deep learning model for multichannel ECG noise reduction by Jay Prakash Maurya, Manish Manoria, Sunil Joshi

“…The experimental findings demonstrate that complex noise from the ECG signal may be removed up to 97.02%.…”
Get full text

Design of a sensor based on neural networks to determine sludge level of industrial thickeners by Mauricio A Leiva, Claudio A Acuña, Claudio A Leiva

“…However, the characteristics of the pulp and the operation of the thickeners are complex because a great variety of forms can be found in the concentration profile of said pulp. …”
Get full text

Material Culture in the Work of Herodotus: Between Memory and Text by Ognjen Tošović

“… In his multi-layered and complex work, Herodotus of Halicarnassus mentions a large number of remains of material culture of various kinds. …”
Get full text

Dropout Kolmogorov–Arnold Networks: A Novel Data-Driven Impedance Modeling Approach for Voltage-Source Converters by Moetasem Ali, Yasser Abdel-Rady I. Mohamed

“…Further, existing neural network data-driven VSC impedance identification methods adopt conventional multi-layer perceptrons, yielding complex models and demanding abundant high-quality data. …”
Get full text

Bridging Behavioral Insights and Automated Trading: An Internet of Behaviors Approach for Enhanced Financial Decision-Making by Imane Moustati, Noreddine Gherabi

“…Our framework effectively captures complex temporal dependencies in financial data by combining robust technical indicators and sentiment-driven metrics—derived from BERT-based sentiment analysis—with a multi-layer LSTM forecasting model. …”
Get full text

Contrastive learning and mixture of experts enables precise vector embeddings in biological databases by Logan Hallee, Rohan Kapur, Arjun Patel, Jason P. Gleghorn, Bohdan B. Khomtchouk

“…However, these models often struggle with highly discriminative tasks and generate sub-optimal representations of complex documents such as peer-reviewed scientific literature. …”
Get full text

UGC-Net: Uncertainty-Guided Cost Volume Optimization with Contextual Features for Satellite Stereo Matching by Wonje Jeong, Soon-Yong Park

“…Disparity estimation in satellite stereo images is a highly challenging task due to complex terrain, occlusions caused by tall buildings and structures, and texture-less regions such as roads, rivers, and building roofs. …”
Get full text

Ecological paradigm of cities in post-Brundtland era: challenges of conserving historic urban landscapes as living cities by Harsha Munasinghe

“…Sustainability has been a pressing, complex, and challenging agenda for urbanists. Its focus turns on wider issues of envi-ronment and societies thus broadening the concept defined in the Brundtland report. …”
Get full text

Research on the lightweight detection method of rail internal damage based on improved YOLOv8 by Xiaochun Wu, Shuzhan Yu

“…Finally, the model is compressed using the Layer-Adaptive Sparsity for Magnitude-Based Pruning (LAMP) technique, significantly reducing model complexity while maintaining performance. …”
Get full text

Optic Disk Melanocytoma. The Clinical Case by I. A. Bashkatova, S. O. Shchigareva, E. V. Gromakina, T. V. Yanchenko

“…The retinal ganglion cell complex is normal. The peripheral boundaries of the field of view of the right eye according to perimetry are normal. …”
Get full text

Research on intrusion detection model based on improved MLP algorithm by Qihao Zhao, Fuwei Wang, Weimin Wang, Tianxin Zhang, Haodong Wu, Weijun Ning

“…Abstract In intrusion detection, imbalanced datasets often degrade the accuracy of certain detections, potentially allowing malicious traffic to remain undetected and leading to significant losses. The multi-layer perceptron (MLP) offers distinct advantages for intrusion detection, as attack patterns often follow complex, nonlinear relationships. …”
Get full text