Detection method of LDoS attacks based on combination of ANN ＆ KPCA by Zhijun WU, Liang LIU, Meng YUE

“…Low-rate denial-of-service (LDoS) attack is a new type of attack mode for TCP protocol.Characteristics of low average rate and strong concealment make it difficult for detection by traditional DoS detecting methods.According to characteristics of LDoS attacks,a new LDoS queue future was proposed from the router queue,the kernel principal component analysis (KPCA) method was combined with neural network,and a new method was present to detect LDoS attacks.The method reduced the dimensionality of queue feature via KPCA algorithm and made the reduced dimension data as the inputs of neural network.For the good sell-learning ability,BP neural network could generate a great LDoS attack classifier and this classifier was used to detect the attack.Experiment results show that the proposed approach has the characteristics of effectiveness and low algorithm complexity,which helps the design of high performance router.…”
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BLSTM based night-time wildfire detection from video. by Ahmet K Agirman, Kasim Tasdemir

“…To this end, a BLSTM based night-time wildfire event detection from a video algorithm is proposed. It is shown in the experiments that the proposed algorithm attains 95.15% of accuracy when tested against a wide variety of actual recordings of night-time wildfire incidents and 23.7 ms per frame detection time. …”
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Detection of Movement and Lead-Popping Artifacts in Polysomnography EEG Data by Nishanth Anandanadarajah, Amlan Talukder, Deryck Yeung, Yuanyuan Li, David M. Umbach, Zheng Fan, Leping Li

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Detecting Keratoconus in Adolescents with Anterior Segment Optical Coherence Tomography by Burcu Yücekul, Anika Förster, H. Burkhard Dick, Suphi Taneri

“…Assessing the applicability of an algorithm developed for keratoconus detection in adolescents. …”
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Moving Target Detection and Active Tracking with a Multicamera Network by Long Zhao, Li Fei Liu, Qing Yun Wang, Tie Jun Li, Jian Hua Zhou

“…The proposed framework consists of low-cost static and PTZ cameras, target detection and tracking algorithms, and a low-cost PTZ camera feedback control algorithm based on target information. …”
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Clustering-Based Pattern Abnormality Detection in Distributed Sensor Networks by Seok-Woo Jang, Gye-Young Kim, Siwoo Byun

“…The experiments conducted in this work prove that our suggested clustering-based algorithm effectively detects various traffic attacks.…”
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Improved Crack Detection and Recognition Based on Convolutional Neural Network by Keqin Chen, Amit Yadav, Asif Khan, Yixin Meng, Kun Zhu

“…Experimental results show that the Adam optimization algorithm and batch normalization (BN) algorithm can make the model converge faster and achieve the maximum accuracy of 99.71%.…”
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Simulation of Ground Visibility Based on Atmospheric Boundary Layer Data Using K-Nearest Neighbors and Ensemble Model Algorithms by Ruolan Liu, Shujie Yuan, Duanyang Liu, Lin Han, Fan Zu, Hong Wu, Hongbin Wang

“…This study introduces a machine learning approach for simulating visibility, utilizing the K-Nearest Neighbors algorithm and an ensemble model, which incorporate data from atmospheric boundary layer detection and conventional ground meteorological observations as simulation inputs. …”
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A Study on the Impact of Rain on Object Detection for Automotive Applications by Diarmaid Geever, Tim Brophy, Dara Molloy, Enda Ward, Brian Deegan, Martin Glavin, Edward Jones

“…Four object detection algorithms, a segmentation algorithm, and an optical character recognition algorithm are used as representative examples of typical algorithms used in ADAS. …”
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PUE Attack Detection in CWSN Using Collaboration and Learning Behavior by Javier Blesa, Elena Romero, Alba Rozas, Alvaro Araujo, Octavio Nieto-Taladriz

“…This paper discusses a new approach, based on anomaly behavior detection and collaboration, to detect the PUE attack in CWSN scenarios. …”
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Research on malicious code variants detection based on texture fingerprint by Xiao-guang HAN, UWu Q, AOXuan-xia Y, UOChang-you G, Fang ZHOU

“…The ma-licious code is mapped to uncompressed gray-scale image by integrating image analysis techniques and variants of mali-cious code detection technology. The uncompressed gray-scale image is partitioned into blocks by the texture segmen-tation algorithm. …”
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Wireless Sensor Networks Energy Effectively Distributed Target Detection by Xiaogang Qi, Peng Wei, Lifang Liu, Mande Xie, Guoyong Cai

“…The first algorithm presents a method of the time series discretization to solve the distance of the target detected by the first connected node. …”
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On the Detection of Exploitation of Vulnerabilities Leading to the Execution of a Malicious Code by Yury V. Kosolapov

“…It is assumed that taking into account the distances between function calls will reveal shell code execution using system and / or library function calls. An algorithm and a system for detecting abnormal code execution are proposed. …”
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Anomaly-Based Intrusion Detection System for the Internet of Medical Things by Eichie Franklin, Bernardi Pranggono

“…We used a representative Anomaly Intrusion Detection System (AIDS) dataset to train six state-of-the-art Machine Learning (ML) and Deep Learning (DL) architectures, with the Synthetic Minority Oversampling Technique (SMOTE) algorithm used to handle class imbalance in the training dataset. …”
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Leather Defect Detection Based on Improved YOLOv8 Model by Zirui Peng, Chen Zhang, Wei Wei

“…Addressing the low accuracy and slow detection speed experienced by algorithms based on deep learning for a leather defect detection task, a lightweight and improved leather defect detection algorithm, dubbed YOLOv8-AGE, has been proposed based on YOLOv8n. …”
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Anxiety Detection System Based on Galvanic Skin Response Signals by Abeer Al-Nafjan, Mashael Aldayel

“…While the potential of machine learning (ML) algorithms to enhance the classification of anxiety based on GSR signals is promising, their effectiveness in this context remains largely underexplored. …”
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Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…The findings show that the most effective features in detecting defective wood are extracted by the Local Binary Pattern (LBP) method and the most effective classifier is the Random Forest Algorithm. …”
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Detecting House of Spirit Attacks by Glibc Heap Information Extraction by ZHAI Jiqiang, WANG Jiaqian, HAN Xu, SUN Haixu

“…The experimental results show that this method can effectively extract the heap information in the memory of the Linux system process，and successfully detect the House of Spirit attack in the memory based on the information combined with the attack detection algorithm.…”
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Detection of Obstacles in Tunnel Based on Vehicle-borne LiDAR by ZENG Xiang, JIANG Guotao, BAO Jiyu, LIU Bangfan, XIAO Zhihong

“…Massive point clouds introduced by tunnel wall reflection can easily cause false alarms in LiDAR-based detection of obstacles in tunnel environment. A vehicle-borne LiDAR based obstacle-in-tunnel detection methodology is proposed in this paper. …”
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An Innovative Multiparametric Sensor Design for Detecting Microplastics and Heavy Metals by Ekrem Kursad Dal, Adem Gunes, Recai Kilic

“…The proposed sensor system detects these materials and evaluates their concentrations using a trainable multilayer perceptron algorithm. …”
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