Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model by Bin Li, Yuki Todo, Zheng Tang

“…Our approach involves modeling depth selective cells to receive depth information, simple stereo-orientation selective cells for combining distinct depth information inputs to generate various local stereo-orientation selectivity, and complex stereo-orientation selective cells responsible for integrating the same local information to generate global stereo-orientation selectivity. …”
Get full text

Model selection for dynamic PET compartmental modelling of 18F-FDG uptake using a long axial field-of-view PET scanner with delay and motion correction by Hamed Moradi, Rajat Vashistha, Kieran O’Brien, Amanda Hammond, Axel Rominger, Hasan Sari, Kuangyu Shi, Viktor Vegh, David Reutens

“…Traditional methods often neglect tissue heterogeneity and apply a single model universally. We applied a model selection approach alongside delay and motion correction, enabling the selection of models with varying complexity to better account for tissue heterogeneity. …”
Get full text

Latency Analysis of UAV-Assisted Vehicular Communications Using Personalized Federated Learning with Attention Mechanism by Abhishek Gupta, Xavier Fernando

Get full text

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. …”
Get full text

On-axis structured beams generation via moiré and Mie resonant metallo-dielectric moiré gratings by Anil Ringne, Subrata Karmakar, Ananth Krishnan

Get full text

Advances in Selective Photocatalytic Oxidation of <i>p</i>-Xylene to Terephthalic Acid as a Sustainable Route: A Short Review on Photocatalyst Formulation and Related Reaction Mech... by Antonietta Mancuso, Olga Sacco, Vincenzo Vaiano

“…Advances in photocatalyst design—particularly in non-metallic and hybrid systems—could address key challenges such as limited light absorption and charge recombination, enhancing overall efficiency. Despite these advancements, maintaining high selectivity for terephthalic acid while minimizing by-product formation remains a critical challenge. …”
Get full text

Exploring inbreeding depression in Brazilian Angus cattle population using pedigree and genomic data by Henrique A. Mulim, Gabriel S. Campos, Fernando Flores Cardoso, Hinayah Rojas de Oliveira

Get full text

Swift Observations of Mrk 421 in Selected Epochs. IV. Physical Implications of X-Ray Flaring Activity and Features of Relativistic Magnetic Reconnection in 2018 April–2023 December... by B. Kapanadze, A. Gurchumelia, M. Aller

Get full text

Development of Coated Graphite and Wire Electrodes for Methyldopa Determination in Pharmaceutical and Pure Products by Hasan Amer, Omar Salih Hassan

“… Two designs of methyldopa-selective electrodes were compared: electrode A, which was copper-coated and electrode B, which was a coated graphite electrode (CGE) based on the ion-exchanger complex of methyldopa- Phosphotungstic acid (MeD-PTA). …”
Get full text

Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

“…In conclusion, the demonstration model, which incorporates simulated muscle activation and color visualization, enhances the vividness of kMI in complex motor skills. This enhancement is associated with the selective inhibition of the frontal, central, and temporal brain regions, the activation of the occipital and parietal regions within brain rhythmic activity, and increased information flow between the occipital-parietal and frontal-parietal brain regions.…”
Get full text

GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

“…This targeted optimization ensures that the algorithm prioritizes balanced accuracy across both fall and non-fall events, mitigating the bias inherent in imbalanced datasets. Additionally, we select a chromosome structure focusing on three hyperparameters to effectively narrow the search space, reducing computational complexity while maintaining high detection performance. …”
Get full text

Real-Time Evaluation of the Improved Eagle Strategy Model in the Internet of Things by Venushini Rajendran, R Kanesaraj Ramasamy

“…Web services, facilitated by APIs, offer a modular approach to integrating and streamlining complex business processes. However, real-time monitoring and optimal service selection within large-scale, cloud-based repositories remain significant challenges. …”
Get full text

Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy by Xin Chen, Fang Wang, Yaolin Zhu, Jinni Chen

“…After preprocessing the spectra using maximum–minimum normalization, a model is established based on the successive projection algorithm to select wavelengths. Validation results indicate that this model significantly can improve prediction accuracy and reduce operation time, providing a convenient, rapid, and efficient method for distinguishing between cashmere and wool content.…”
Get full text

Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…In this paper, we introduce a semi-parametric logistic single-index model for analyzing high-dimensional group testing data, which is particularly flexible in capturing complex nonlinear relationships. The proposed method achieves variable selection by parameter regularization, which proves especially beneficial for extracting relevant information from high-dimensional data. …”
Get full text

Reinforcing long lead time drought forecasting with a novel hybrid deep learning model: a case study in Iran by Mahnoosh Moghaddasi, Mansour Moradi, Mahdi Mohammadi Ghaleni, Zaher Mundher Yaseen

Get full text

A study on multi-objective optimization for the location selection of smart underground parking facilities in high-density urban areas of megacities: A case study of Jing'an distri... by Xiaodan Li, Yunci Guo, Zhen Liu, Dandan Sun, Yidi Liu, Wencan Wang

Get full text

RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…Existing methods often struggle with the complex textures and subtle variations in the prostate. …”
Get full text

Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

Get full text

Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Despite considerable advancements in this field, existing methods often face challenges related to computational efficiency and prediction accuracy. This study introduces a novel approach to link prediction in social networks by employing the Heat Transfer Optimization Algorithm (HTOA) for topological feature selection. …”
Get full text

Parameters of maize hybrids developed for the conditions of insufficient and unstable humidit by G. Ya. Krivosheev, A. S. Ignatiev

Get full text