Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…To improve accuracy, we carefully performed feature selection to identify the most relevant features for detecting hate speech in the Albanian language. …”
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Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…Deploying feature selection together with efficient classifiers in the detection system can overcome these problems.  …”
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An intelligent algorithm for identifying dropped blocks in wellbores by Qian Wang, Zixuan Yang, Chenxi Ye, Wenbao Zhai, Xiao Feng

“…The XGBoost algorithm was then used to optimize the feature parameters and improve the classification model. …”
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An improved YOLOv8n algorithm for dense pedestrian scenarios by Wang Lili, Fan Panpan, Zhang Shiyu

“…To address the issues of insufficient recognition accuracy and inaccurate detection of traditional algorithms in dense pedestrian scenarios, an improved dense pedestrian detection model based on YOLOv8n is proposed. …”
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Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…In light of the shortcomings pertaining to UAV small target detection, the detection of complex scenes, and the detection of multi-scale targets, a time-frequency dual-domain feature extraction algorithm, TF-DETR, has been proposed. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…Notably, we performed feature engineering to optimize the input data; specifically, we derived 20 key features from transformation functions applied to the SERS spectra. …”
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STDE-YOLOv5s: a traffic sign detection algorithm based on context information enhancement by Qi Tian, Juwei Zhang

“…Considering the strong capability of the YOLOv5s algorithm in small object detection, its relatively low number of parameters, and ease of deployment, this paper selects YOLOv5s as the base model and proposes an improved traffic sign detection algorithm. …”
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An attack detection method based on deep learning for internet of things by Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An

“…To address these issues, this paper proposes an attack detection method based on deep learning for IoT. Firstly, a genetic algorithm is used for feature selection; secondly, a cost-sensitive function is employed to address the scarcity of attack traffic in IoT; and finally, a combination of Convolutional Neural Networks and Long Short Term Memory Network is utilized to extract spatiotemporal information from the network. …”
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Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

“…Commonly the recognition time is reduced in the NIDS by using feature selection technique. The proposed DNN classifier implemented with feature selection algorithm, and obtained on accuracy reached to 99.27%.…”
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LI-YOLO: An Object Detection Algorithm for UAV Aerial Images in Low-Illumination Scenes by Songwen Liu, Hao He, Zhichao Zhang, Yatong Zhou

“…In the feature fusion part, aiming to improve the detection performance for small objects in UAV aerial images, a shallow feature fusion network and a small object detection head are added. …”
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MPVF: Multi-Modal 3D Object Detection Algorithm with Pointwise and Voxelwise Fusion by Peicheng Shi, Wenchao Wu, Aixi Yang

“…To address these issues, the multi-modal 3D object detection algorithm with pointwise and voxelwise fusion (MPVF) is proposed, which enhances multi-modal feature interaction and optimizes feature extraction strategies to improve detection precision and robustness. …”
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YOLO-PGC: A Tomato Maturity Detection Algorithm Based on Improved YOLOv11 by Qian Wu, Heming Huang, Dongke Song, Jie Zhou

“…A YOLOv11-based algorithm named YOLO-PGC is proposed in this study for tomato maturity detection. …”
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Comparison of Seizure Detection Performances of Features Based on Wavelet Transform and Empirical Mode Decomposition by Erhan Bergil, Murat Yıldız

“…The feature matrices have been classified by k-nearest neighbor algorithm and results have been compared for both feature extraction methods. …”
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A Weak Signal Detection Method Based on HFER Features in Sea Clutter Background by Yan Yan, Yongxian Song, Hongyan Xing, Zhengdong Qi

“…The hyperparameters of the network are optimized using the Sparrow Search Algorithm (SSA). We conducted a comparative analysis using the BCD, RAA, TIE, SVM, and multi-feature fusion detection methods. …”
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A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid by Yuqi Li, Zijian Wang, Han Zhang, Xinpeng Yao, Zhou Zhou, Xin Cheng

“…Lastly, the small‐target detection precision is improved by incorporating an additional small‐target detection head, which uses high‐resolution feature maps for shallow features. …”
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Detecting sand gradation based on the two-dimensional sand particle features in sand images by Chuanyun Xu, Heng Wang, Yang Zhang, Song Sun, Gang Li

“…By extracting these sand particle features to train a network model and combining a threshold division strategy, sand gradation detection is performed. …”
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Memory Efficient Local Features Descriptor for Identity Document Detection on Mobile and Embedded Devices by Daniil P. Matalov, Elena E. Limonova, Natalya S. Skoryukina, Vladimir V. Arlazarov

“…The proposed algorithm for retrieving a dataset of patches is based on the specifics of document detection in smartphone camera-captured images with a template matching approach. …”
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ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis by R. P. Bohush, D. A. Tychko

“…An algorithm to detect the main signs of fire for video surveillance systems, which allows the detection of smoke, open flames, and their combination on dynamic images is proposed. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…A hybrid optimization approach was also introduced for feature selection using green anaconda optimization and the chaotic learning osprey optimization algorithm. …”
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Small target detection algorithm based on the fusion attention mechanism and multi-layer convolution. by Xiujing Li, Haifei Zhang, Yiliu Hang, Hao Chen

“…In the realm of unmanned aerial vehicles, we proposed an enhanced small target detection algorithm, MGAC-YOLO, to address the challenges of missed detections and low accuracy associated with small target identification. …”
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