Enhanced mastitis severity classification in dairy cows using DNN and RF: A study on PCA and correlation-based feature selection by Manar Lashin, Ayman Samir Farid, Abdullah T. Elgammal

“…Key parameters in the RF and DNN models were carefully selected to ensure robust performance across diverse datasets. …”
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MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture by Hao Bai, Xiongwei Li, Qing Meng, Shulong Zhuo, Lili Yan

“…MFFTNet enhances the performance of existing segmentation methods by globally modeling the overall point cloud shape and embedding local point cloud details. …”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…To address these issues, this study proposes the multilevel feature cross-fusion wetland landscape classification network (MFCFNet), which combines the global modeling capability of Swin Transformer with the local detail-capturing ability of convolutional neural networks (CNNs), facilitating discerning intraclass consistency and interclass differences. …”
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Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

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Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features by Adewuyi Adetayo Adegbite, Eduan Kotzé

“…It was found that the GenAI C# code produced by Blackbox.AI, ChatGPT, and Copilot could, with a high degree of accuracy, be identified and distinguished from student-written C# code through use of the classifier algorithms, with XGBoost performing strongest in detecting GenAI code and random forest performing best in identification of student-written code. …”
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Feature scale and identifiability: how much information do point hydraulic measurements provide about heterogeneous head and conductivity fields? by S. K. Hansen, D. O'Malley, J. P. Hambleton

“…<p>We systematically investigate how the spacing and type of point measurements impact the scale of subsurface features that can be identified by groundwater flow model calibration. …”
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Hybrid Deep Learning Techniques for Improved Anomaly Detection in IoT Environments by Hanan Abbas Mohammad

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Prevalence and Antimicrobial-Resistant Features of Shigella Species in East Africa from 2015–2022: A Systematic Review and Meta-Analysis by Basha Ayele, Getenet Beyene, Mekdelawit Alemayehu, Aman Dekebo, Zeleke Mekonnen, Gashaw Nigussie

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A centipede-inspired robot with passive terrain adaptation: optimized design and performance analysis by Tan Zhang, Chengjun Ding, Dong Wang, Tengfei Ma, Xinbao Li, Zijian Li, Jianing Zhang, Xuehong Zhu

“…Experimental results under various terrains demonstrate that the robot features a rational structural design, excellent obstacle-crossing performance, and high motion flexibility, allowing it to passively adapt to complex and variable obstacle terrains.…”
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Comprehensive performance analysis of an electric vehicle using multi-mode Indian drive cycles by Jayakara Babu Kondru, Y. P. Obulesu

“…Even though the vehicles have better features the performance of the EV can be estimated with the consideration of the designed drive cycle for the region. …”
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Comparison of Data Normalization Techniques on KNN Classification Performance for Pima Indians Diabetes Dataset by Yohanes Dimas Pratama, Abu Salam

“…This study analyzes the comparison of data normalization techniques in the K-Nearest Neighbors (KNN) model for diabetes classification using the Pima Indians Diabetes dataset. …”
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Exploring the predictive value of carotid Doppler ultrasound and clinical features for spinal anesthesia-induced hypotension: a prospective observational study by Esmée C. de Boer, Joris van Houte, Catarina Dinis Fernandes, Tom Bakkes, Jens Muehlsteff, R. Arthur Bouwman, Massimo Mischi

“…The best-performing logistic regression model combined carotid ultrasound and clinical features and had a sensitivity of 75 [73–81]%, specificity of 75 [71–81]%, AUROC of 0.81 [0.75—0.95], positive predictive value of 75 [65–81]%, negative predictive value of 75 [71–88]% and F1 score of 0.75 [0.71–0.76]. …”
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Correlation between imaging features of pure ground-glass opacities and pathological subtypes of lung minimally invasive adenocarcinoma and precursor lesions by Yanqiu Zhu, Cui Yan, Wenjie Tang, Yani Duan, Xiuzhen Chen, Yunxu Dong, Yuefei Guo, Weimin Liu, Jie Qin

“…Clinical information and CT imaging features were collected. Statistical analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed. …”
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Medical Conditions in Former Professional American-Style Football Players Are Associated With Self-Reported Clinical Features of Traumatic Encephalopathy Syndrome by Rachel Grashow, Shawn R. Eagle, Douglas P. Terry, Heather DiGregorio, Aaron L. Baggish, Marc G. Weisskopf, Anthony Kontos, David O. Okonkwo, Ross Zafonte

“…Associations between self-reported symptoms that mirror the core clinical features of TES—and how they may be related to concomitant medical conditions—remain unclear. …”
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SDPSNet: An Efficient 3D Object Detection Based on Spatial Dynamic Pruning Sparse Convolution and Self-Attention Feature Diffusion by Meng Wang, Qianlei Yu, Haipeng Liu

“…To address these issues, this paper proposes a novel 3D object detection model, SDPSNet, which combines spatial dynamic pruning and self-attention feature diffusion to reduce data redundancy and improve the representation of central features. …”
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A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…In this paper, a new method for low-dimensional, strongly robust, and fast space target ISAR image recognition based on local and global structural feature fusion is proposed. This method performs the trace transformation along the longest axis of the ISAR image to generate the global trace feature of the space target ISAR image. …”
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Open-Tip Carbon Nanotubes for Enhanced Methane Adsorption Performance: A Comparative Study by Yanyan Feng, Yanjie Li, Wen Yang, Di Yang, Guangyuan Ye, Shufen Zhang

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CNN Performance Improvement for Classifying Stunted Facial Images Using Early Stopping Approach by Yunidar Yunidar, Y Yusni, N Nasaruddin, Fitri Arnia

“…Research shows that these physical differences can also be observed in facial features. Because faces provide important information and are commonly studied in digital image processing, in this study, we will compare the facial image classification performance of stunted children versus normal children using various Convolutional Neural Network (CNN) architectures. …”
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Automated note annotation after bioacoustic classification: Unsupervised clustering of extracted acoustic features improves detection of a cryptic owl by Callan Alexander, Robert Clemens, Paul Roe, Susan Fuller

“…When automated detection models are applied to large novel datasets, false-positive detections are likely even for high-performing models, and arbitrary thresholds may result in missed detections. …”
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Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

“…Feature selection was performed using Genetic Algorithm, Particle Swarm Optimization, and Simulated Annealing, while ten machine learning models were implemented — ranging from Linear Regression and Decision Trees to Gradient Boosting, XGBoost, LightGBM, and Long Short-Term Memory (LSTM) networks. …”
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