Monitoring of vegetation chlorophyll content in photovoltaic areas using UAV-mounted multispectral imaging by Ming Li, Weiyi Wang, Haoran Li, Zekun Yang, Jianjun Li

“…From these images, twenty vegetation indices and thirty-two texture features were extracted. To reduce feature redundancy and enhance modeling efficiency, feature selection was performed using the minimum redundancy maximum relevance method and Pearson correlation analysis. …”
Get full text

The Role of Artificial Intelligence in Boosting Cybersecurity and Trusted Embedded Systems Performance: A Systematic Review on Current and Future Trends by Ahmed Oun, Kaden Wince, Xiangyi Cheng

“…The key findings of our review indicate that AI significantly enhances security measures by enabling capabilities such as detection, classification, feature selection, data privacy preservation, model combination, data generation, output interpretation, optimization, and adaptation. …”
Get full text

Moving Beyond Indices: A Systematic Approach Integrating Food System Performance and Characteristics for Comprehensive Food Security Assessment by Muna A. Al-Ansari, Hamad Nabeel, Galal M. Abdella, Tarek El Mekkawy

Get full text

Structural Features of Coumarin-1,2,4-Triazole Hybrids Important for Insecticidal Effects Against <i>Drosophila melanogaster</i> and <i>Orius laevigatus</i> (Fieber) by Domagoj Šubarić, Vesna Rastija, Maja Karnaš Babić, Dejan Agić, Ivana Majić

“…<i>Drosophila melanogaster</i>, the common fruit fly, has been used as a model organism for scientific research. Additionally, it is considered a pest since it damages fruits and serves as a carrier for various plant diseases. …”
Get full text

Similarity and wavelet transform based data partitioning and parameter learning for fuzzy neural network by Pramoda Patro, Krishna Kumar, G. Suresh Kumar, Gandharba Swain

“…To solve this issue in this proposed system Bat optimization based feature selection is proposed for optimal selection of features from the available dataset. …”
Get full text

Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory by Ahmed M. Elshewey, Amira Hassan Abed, Doaa Sami Khafaga, Amel Ali Alhussan, Marwa M. Eid, El-Sayed M. El-kenawy

“…The GGO with LSTM model obtained the highest performance, with an accuracy rate of 99.58%. …”
Get full text

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

“…The research begins by carefully preprocessing the dataset including feature selection to ensure high-quality inputs. Various baseline and ensemble classifiers, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), and Logistic Regression (LR), are tested, for better model efficiency on both datasets. …”
Get full text

Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery by Xiaodi Xu, Ya Zhang, Peng Fu, Chaoya Dang, Bowen Cai, Qingwei Zhuang, Zhenfeng Shao, Deren Li, Qing Ding

Get full text

Local-non-local complementary learning network for 3D point cloud analysis by Ning Ye, Kaihao Feng, Sen Lin

“…Local features are modeled through relative positional relationships, while non-local features capture absolute positional information. …”
Get full text

Improving Vehicle Dynamics: A Fractional-Order PI<i>^λ</i>D<i>^μ</i> Control Approach to Active Suspension Systems by Zongjun Yin, Chenyang Cui, Ru Wang, Rong Su, Xuegang Ma

“…This paper presents a comprehensive vehicle model featuring an active suspension system integrated with semi-active seat and engine mounting controls. …”
Get full text

Investigation the effect of angle of placement in multilayer composite fibers on the performance of steel shear walls under nonlinear static analysis by Ashkan Khodabandehlou, Maryam Minadi

“…In this research, by applying changes in positioning angle and number of fibers to achieve the best seismic performance, sixteen models have been geometrically and nonlinearly analyzed using ABAQUS finite element software. …”
Get full text

Efficient adsorption of organic dyes using Fe3O4/carbon sphere nanocomposites: Synthesis and performance evaluation by Ta Duc Khue, Pham Kim Ngoc, Do Thanh Viet, Tran Dang Thanh, Tuan Hong Nguyen, Pham Van Vinh, Dinh Lam Nguyen, Pham Duc Thang, Anh Tuan Duong, Raja Das, Huu Tuan Nguyen

Get full text

You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

“…This study aims to develop computer vision techniques to identify cattle based on their unique muzzle print features. The developed method employed the YOLOv8 object detection model to detect the cattle’s muzzle. …”
Get full text

Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…A Bayesian network (BN) is an uncertainty processing model that simulates human cognitive thinking on the basis of probability theory and graph theory. …”
Get full text

An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage by Lingxian Hou, Yongsheng Wang, Xiuqi Lin, Chengye Li, Huangrong Guo, Congcong Jin, Yi Chen, Huiling Chen, Jing Ji, Wenzong Zhu

“…This hybrid approach is applied to feature selection in a comprehensive dataset, including CT images, clinical data, and laboratory results, to enhance the predictive model’s accuracy. …”
Get full text

Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

“…Furthermore, to optimize model performance, different feature selection algorithms were evaluated. …”
Get full text

Sonar-Based Simultaneous Localization and Mapping Using the Semi-Direct Method by Xu Han, Jinghao Sun, Shu Zhang, Junyu Dong, Hui Yu

“…To overcome the deficiencies of sonar images, we preprocess the images and reformulate the sonar imaging model in imitation of camera imaging models, further optimizing the pose by minimizing photometric error and fully leveraging pixel information. …”
Get full text

Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance by S. Sivaraman, N. Radhika, Muhammad Abubaker Khan

Get full text

DBDST-Net: Dual-Branch Decoupled Image Style Transfer Network by Na Su, Jingtao Wang, Jingjing Zhang, Ying Li, Yun Pan

“…To further improve the decoupling performance, we introduce a dense-regressive loss that minimizes the discrepancy between the original content image and the content reconstructed from the stylized output, thereby promoting the independence of content and style features while enhancing image quality. …”
Get full text

MFMamba: A Mamba-Based Multi-Modal Fusion Network for Semantic Segmentation of Remote Sensing Images by Yan Wang, Li Cao, He Deng

“…In recent years, multi-modal fusion-based models have garnered considerable attention, exhibiting superior segmentation performance when compared with traditional single-modal techniques. …”
Get full text