A malware detection method with function parameters encoding and function dependency modeling by Ronghao Hou, Dongjie Liu, Xiaobo Jin, Jian Weng, Guanggang Geng

“…Although researchers have introduced traditional machine learning and deep learning methods to conduct extensive research on functions in malware detection, these methods have largely ignored the analysis of function parameters and functional dependencies. …”
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Automatic titration detection method of organic matter content based on machine vision by Bingjie Zhang, Meng Li, Qing Song, Lujian Xu

“…This study not only solves the limitations of manual operation in traditional titration methods, but also provides new ideas and methods for the automation and intelligence of chemical titration. …”
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Hybrid Weighted Random Forests Method for Prediction & Classification of Online Buying Customers by Umesh Kumar Lilhore, Sarita Simaiya, Devendra Prasad, Deepak Kumar Verma

“…This field is a new area of research for machine learning researchers. A random forest (RF) machine learning method is a widely used classification method. …”
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Stochastic estimation of soil hydraulic conductivity utilizing self-organizing map method by Kyeongmo Koo, Hyunki Kim

“…Using the extensive FLSOIL database of 6,487 soil samples from Florida, the SOM-based ksat estimation model is optimized based on map size and feature selection, then compared with seven empirical equations and three supervised machine learning models. Unlike the other methods, the SOM-based approach provides a probabilistic distribution of ksat, enabling reliability-based design-value determination. …”
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UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory by Tao Chen, Shaopeng Li, Yong Xian, Leliang Ren, Zhenyu Liu

“…To resolve this issue, an intelligent spiral maneuver trajectory generation method utilizing a virtual trajectory framework is proposed. …”
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Typical battlefield infrared background detection method based on multi band fusion by Bentian Hao, Weidong Xu, Xin Yang

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A Target Tracking Method Based on a Pyramid Channel Attention Mechanism by Dongxuan Zhao, Yunsong Li, Jiaxing Li, Xiping Duan, Ning Ma, Yuhe Wang

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A Nighttime Driving-Scene Segmentation Method Based on Light-Enhanced Network by Lihua Bi, Wenjiao Zhang, Xiangfei Zhang, Canlin Li

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Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…The detector training method was developed for the first time, combined the RetinaNet loss function with the gate unit loss function and applied meta-learning to the results of adaptation to various types of synthetic disturbances. …”
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Elevating Accuracy: Enhanced Feature Selection Methods for Type 2 Diabetes Prediction by Ghazaleh Kakavand Teimoory, MohammadReza Keyvanpour

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Different methods of estimating riverbed sediment grain size diverge at the basin scale by Peter Regier, Yunxiang Chen, Kyongho Son, Jie Bao, Brieanne Forbes, Amy Goldman, Matt Kaufman, Matt Kaufman, Kenton A. Rod, James Stegen, James Stegen

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Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis by Zhang Weimin, Zhou Luyao, Shao Min, Wang Cui, Wang Yu

“…The manual diagnostic methods heavily rely on subjective clinical experience, while traditional machine learning methods require time-consuming feature engineering and the performance is limited by the knowledge acquired from scarce datasets. …”
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Penerapan Metode Talaqqi Berbantuan Teknologi dan Media Pembelajaran dalam Pembelajaran Al-Qur’an di SMA Islam Terpadu by Zamsiswaya Zamsiswaya, Risnawati Risnawati, Armizi Armizi

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Unsupervised Insulator Defect Detection Method Based on Masked Autoencoder by Yanying Song, Wei Xiong

“…Benchmark experiments across multiple datasets demonstrate that our method delivers competitive image- and pixel-level performance while significantly reducing computational overhead compared to existing ViT-based approaches. …”
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Non-intrusive Load Identification Method Based on the Online Self-organizing Incremental Neural Network—Non-intrusive load identification method based on the online self-organizing... by Zhengwei HU, Zhihong WANG, Ruixin CHANG, Zhiyuan XIE, Wangbin CAO

“…This method included two steps, which are the load feature extraction and the load feature classification with the equipment identification. …”
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Chemistry Learning Through CIRC on DNA Base Materials: Hypothesis Testing the Kolmogorov-Smirnov Method on Male and Female Population Samples by Endro Tri Susdarwono

“…The method used in this research is experimental research. …”
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A Study to Evaluate the Perception of Learning Outcomes Using Jigsaw Classroom Technique Among Medical Undergraduates by Taruna Gogia, Shishir Dutt

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Enhanced Curvature-Based Fabric Defect Detection: A Experimental Study with Gabor Transform and Deep Learning by Mehmet Erdogan, Mustafa Dogan

“…Furthermore, we implemented and evaluated several other methods from the literature, including Gabor and Convolutional Neural Networks (CNNs), within a unified coding framework. …”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

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Comparisons of the Academic Performance of Medical and Health-Sciences Students Related to Three Learning Methods: A Cross-Sectional Study by Basuodan RM

“…The learning methods examined include the FTF method, the online-synchronized method, and a blended learning method that combines elements of both. …”
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