Detect and Calculate the Speed of Moving Objects Using R-CNN Technique by Batool R. Abd, Heba Khudhair Abbas

Subjects: “…Detect moving object…”
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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

“…The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious domain name detection model based on separable convolution was proposed.The model uses a separable convolution structure.It first applies depthwise convolution on every input channel,and then performs pointwise convolution on all output channels.This can effectively reduce the parameters of convolution process without impacting the effectiveness of convolution feature extraction,and realize faster convolution process while keeping high accuracy.To improve the detection accuracy considering the imbalance of the number and difficulty of positive and negative samples,a focal loss function was introduced in the training process of the model.The proposed algorithm was compared with three typical deep-learning-based detection models on a public data set.Experimental results denote that the proposed algorithm achieves detection accuracy close to the state-of-the-art model,and can significantly improve model inference speed on CPU.…”
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A Method of Fatigue Driving State Detection Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei

Subjects: “…fatigue detect…”
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Detection System Design and Implementation for Foreign Objects in Automatic Platform Door Gap by YU Qingguang, WANG Shi, GAO Bonan, CHEN Yuxuan, XIAO Chengbo, LIU Youqi, WANG Yujin, ZHAO Ming, LI Le, CAI Guanzhi

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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

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Application of FMICW technology based on stagger algorithm in automotive radar by Yuanhui ZHANG, Jian YANG, Junjiang ZHU, Xiaolu LI, Yuchen HE

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Take Back the Algorithms! A Media Theory of Commonistic Affordance by Shintaro Miyazaki

Subjects: “…Viola–Jones object detection algorithm…”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

“…By leveraging DE optimization, the model fine-tunes its parameters for improved convergence and detection performance. Experimental results on benchmark datasets demonstrate that the hybrid approach achieves superior accuracy, precision, recall, and F1-score compared to existing methods such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and standalone deep learning models. …”
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Detective Gadget: Generic Iterative Entity Resolution over Dirty Data by Marcello Buoncristiano, Giansalvatore Mecca, Donatello Santoro, Enzo Veltri

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A Bridge Crack Segmentation Algorithm Based on Fuzzy C-Means Clustering and Feature Fusion by Yadong Yao, Yurui Zhang, Zai Liu, Heming Yuan

“…In response to the limitations of traditional image processing algorithms, such as high noise sensitivity and threshold dependency in bridge crack detection, and the extensive labeled data requirements of deep learning methods, this study proposes a novel crack segmentation algorithm based on fuzzy C-means (FCM) clustering and multi-feature fusion. …”
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Multi-Task Perception Algorithm for Rail Transit Scenarios Based on Triplet Attention by GAO Rui, XIONG Yanping, WEI Chenfeng, XIE Guotao, GAO Ming

“…Aiming at the challenges of insufficient object detection accuracy and low detection speeds, and the pursuit of an accuracy-speed balance in environmental perception within rail transit scenarios, this paper proposes a multi-task perception model that features simultaneous detection and segmentation. …”
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Estimation of Mango Fruit Production Using Image Analysis and Machine Learning Algorithms by Liliana Arcila-Diaz, Heber I. Mejia-Cabrera, Juan Arcila-Diaz

“…This study presents an analysis of mango fruit detection using machine learning algorithms, specifically YOLO version 8 and Faster R-CNN. …”
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Research on grid based fire warning algorithm with YOLOv5s for palace buildings by Zhiming Wang, Jiangnan Peng, Xinzhi Liu, Changan Di, Bo Wang

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Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset by Najlaa Aldabagh, Mafaz Khalil

Subjects: “…genetic algorithm…”
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Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

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Outlier Detection on High-Dimensional Data by wasan shaban, Murtadha Hamad

Subjects: “…outlier detection…”
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UNVEILING GENDER FROM INDONESIAN NAMES USING RANDOM FOREST AND LOGISTIC REGRESSION ALGORITHMS by Musthofa Galih Pradana, Pujo Hari Saputro, Dyah Listianing Tyas

“…The application of this detection uses two algorithms, namely Random Forest and Logistic Regression. …”
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Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for model updating by Thanh Sang-To, Hoang-Le Minh, Tran-Thanh Danh, Samir Khatir, Magd Abdel Wahab., Thanh Cuong-Le

“…Modality and intermittent search strategy in combination with an Improve Particle Swarm Optimization algorithm (IPSO) to detect damage structure via using vibration analysis basic principle of a decline stiffness matrix a structure is presented in the study as a new technique. …”
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Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection by Karim Gasmi, Abdulrahman Alyami, Omer Hamid, Mohamed O. Altaieb, Osama Rezk Shahin, Lassaad Ben Ammar, Hassen Chouaib, Abdulaziz Shehab

Subjects: “…Alzheimer detection…”
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Multi-keyword partial matching algorithm based on text fragments by LIAO Wei-qi, ZOU Wei

“…A novel multi-keyword partial matching algorithm was also de- signed and realized which could detect the fraction of keywords in data block without re-flow or re-file. …”
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