Fake News Detection using the Random Forest Algorithm by Rahmat Dipo Setyadin, Reza Handaru Winasis, Gandung Triyono

“…This study aims to develop an effective fake news detection system using the Random Forest algorithm approach. …”
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Deep Learning-Based Algorithm for Road Defect Detection by Shaoxiang Li, Dexiang Zhang

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Road damage detection based on improved YOLO algorithm by Luyao Ma, Ming Chen

“…This paper presents an enhanced object detection algorithm built upon YOLOv5. By integrating CA (Channel Attention) and SA (Spatial Attention) dual-branch attention mechanisms alongside the GIoU (Generalized Intersection over Union) loss, the model’s detection accuracy and localization capabilities are strengthened. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…However, the complex marine environment, poor resolution, color distortion in underwater optical imaging, and limited computational resources all affect the accuracy and efficiency of underwater object detection. To solve these problems, the YOLOv9s-SD underwater target detection algorithm is proposed to improve the detection performance in underwater environments. …”
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Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms by Czangyeob Kim, Myeongjun Jang, Seungwan Seo, Kyeongchan Park, Pilsung Kang

“…It is further possible to distinguish abnormal behaviors more precisely by training classification models if sufficient amounts of labeled dataset is obtained through post analysis of anomaly detection results. In this study, we proposed an end-to-end abnormal behavior detection method based on sequential information preserving log embedding algorithms and machine learning-based anomaly detection algorithms. …”
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GaLAM: Two-Stage Outlier Detection Algorithm by Xiaojun Lu, Zhe Yan, Ziyun Fan

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Surprisal-based algorithm for detecting anomalies in categorical data by Ossama Cherkaoui, Houda Anoun, Abderrahim Maizate

“…Second, the proposed method considers complex correlations in the data beyond the pairwise interactions of features. This study proposed and tested the novel categorical surprisal anomaly detection algorithm (CSAD) by comparing and evaluating it against six competitors. …”
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(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

“…Abstract To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimization (GWO) algorithm—referred to as WOA-GWO. …”
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SFFNet: Shallow Feature Fusion Network Based on Detection Framework for Infrared Small Target Detection by Zhihui Yu, Nian Pan, Jin Zhou

“…However, due to complex backgrounds and the loss of information in deep networks, infrared small target detection remains a difficult undertaking. To solve the above problems, we present a shallow feature fusion network (SFFNet) based on detection framework. …”
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Natural Scene Text Detection With Multiscale Feature Augmentation and Attention Mechanisms by Guogang Wang, Ruilin Wang, Meiyan Liang, Shen Wei, Xin Zhao, Dan Yang, Zhongjie Wang

“…Recently, the DB algorithm has drawn considerable attention in scene text detection due to its differentiable binarization module, which is proposed to simplify the complex post-processing of the existing segmentation-based scene text detection approaches. …”
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Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor by Baghdad Science Journal

“…One of the most popular algorithms is the Scale Invariant Feature Transform (SIFT). …”
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Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor by Ekhlas Khalaf Gbash, Suha Mohammed Saleh

“…One of the most popular algorithms is the Scale Invariant Feature Transform (SIFT). …”
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A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images by Hanan Ahmed Hosni Mahmoud, Abeer Abdulaziz AlArfaj, Alaaeldin M. Hafez

“…In this paper, we are introducing a fast hybrid fuzzy classification algorithm with feature reduction for medical images. …”
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Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

“…This study aims to build a learning model for detecting fake news. This research paper relies on finding and analyzing the characteristics of the text, then the words are converted into features using TF-IDF technology, after that the highest-ranking features are identified for the purpose of studying and distinguishing the spread of news, whether it is real or fake using machine learning techniques. …”
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Improved incremental algorithm of Naive Bayes by Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU

“…A novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the traditional class confidence.When new feature was detected in the corpus,it would be mapped into feature space,and then the corresponding classifier was updated.Thus this method played a very important role in class confidence threshold.Finally,it took advantage of the unlabeled and annotated corpus to validate improved incremental algorithm of Naive Bayes.The experimental results show that an improved incremental algorithm of Naive Bayes significantly outperforms traditonal incremental algorithm.…”
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The ADBPSO-LightGBM internal threat detection framework based on hybrid data balancing by Jin-Jie Zheng, Xiu Kan, Jian-Zhen Wu, Zhen Zhang, Xiu-Yu Gao

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Apple Pest and Disease Detection Network with Partial Multi-Scale Feature Extraction and Efficient Hierarchical Feature Fusion by Weihao Bao, Fuquan Zhang

“…EHFPN employs hierarchical feature fusion and an efficient local attention mechanism to markedly improve the detection accuracy of small targets. …”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…These findings indicate that the proposed algorithm is well-suited for efficient, real-time, and lightweight agricultural disease detection.…”
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DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

“…Hyperspectral imaging for seed vigor detection faces the challenges of handling high-dimensional spectral data, information loss after dimensionality reduction, and low feature differentiation between vigor levels. …”
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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

Subjects: “…Object detection…”
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