Using Artificial Intelligence Techniques For Intrusion Detection System by Manar Ahmed, Bayda Khaleel

“…Such that network intrusion classification and detection systems to prevent unlawful accesses. This work has taken the advantage of classification and detection abilities of Artificial Intelligent Techniques AITs algorithms to recognize intrusion(attack) and also detect new attacks. …”
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Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network by Fengli Yue, Zhuo Sha, Hongyun Sun, Dayong Chen, Jinsong Liu

“…To address the problem of the large number of finite element model meshes and low solution efficiency, the wall thickness uniformity was predicted using a radial basis function (RBF) neural network, and parameter optimization was performed using the particle swarm optimization (PSO) algorithm. …”
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Research on Denoising of Bridge Dynamic Load Signal Based on Hippopotamus Optimization Algorithm–Variational Mode Decomposition–Singular Spectrum Analysis Method by Zhengqiang Zhong, Zhen Li, Jinlong Wang, Cong Tang, Yu Liu, Kaijun Guo

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Establishment and assessment of an early screening model for cervical cancer based on single-cell Raman spectroscopy combined with machine learning algorithms by MA Dongmei, ZHAO Wenjie, LIU Shihai, XU Haicang, CAI Duo, JI Yuetong, XU Jian, GUO Cancan, MA Bo, PAN Huazheng

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Novel barrier-reinforcing method based on mobile nodes re-deployment in WSN by Guoyong DAI, Weiyuan SHI, Kezhen YING, Qingzhang CHEN, Keji MAO

“…Barrier coverage in wireless sensor networks plays a key role in intrusion detection system.How to build a robust barrier is a key problem in this research area.In order to fix the weak points caused by nodes’ energy consumption,a reinforcing method was proposed to strengthen the barrier by re-deploying some mobile nodes,in which set-based max-flow algorithm was employed to calculate the number of weak points.The vulnerability degree of each weak point was analyzed so that the mobile nodes can move to these spots to reinforce the whole barrier.Experiment results show that the algorithm can effectively strengthen the barrier,extend the survival time of the barrier and the algorithm complexity is relatively lower.…”
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Novel barrier-reinforcing method based on mobile nodes re-deployment in WSN by Guoyong DAI, Weiyuan SHI, Kezhen YING, Qingzhang CHEN, Keji MAO

“…Barrier coverage in wireless sensor networks plays a key role in intrusion detection system.How to build a robust barrier is a key problem in this research area.In order to fix the weak points caused by nodes’ energy consumption,a reinforcing method was proposed to strengthen the barrier by re-deploying some mobile nodes,in which set-based max-flow algorithm was employed to calculate the number of weak points.The vulnerability degree of each weak point was analyzed so that the mobile nodes can move to these spots to reinforce the whole barrier.Experiment results show that the algorithm can effectively strengthen the barrier,extend the survival time of the barrier and the algorithm complexity is relatively lower.…”
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Software defined data center network with hybrid routing by Yue-ping CAI, Chang-ping WANG

“…SHR differentiate data flows by statistical calculat nt flows utilize the adap-tive routing algorithm while the mice flows use the oblivious routing algorithm. …”
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A Robust Framework for 2D Human Face Reconstruction from Half-Frontal Views in Low-Quality Surveillance Footage by Maria Siddiqua, Muhammad Furqan Zia

“…The reconstructed faces are validated using the Viola-Jones object detection algorithm to confirm the presence and alignment of facial features. …”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…In response to the current issues of low recognition accuracy and low image contrast in abnormal detection of power transmission lines. …”
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Diagnostic accuracy of case-identification algorithms for heart failure in the general population using routinely collected health data: a systematic review by Anita Andreano, Vito Lepore, Pietro Magnoni, Alberto Milanese, Caterina Fanizza, Deborah Testa, Alessandro Musa, Adele Zanfino, Paola Rebora, Lucia Bisceglia, Antonio Giampiero Russo, the PROPHET-I study group

“…Objective To assess the diagnostic accuracy of validated HAD-based algorithms for detecting HF, compared to clinical diagnosis, and to investigate causes of heterogeneity. …”
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The Fast-Greedy algorithm reveals hourly fluctuations and associated risks of shark communities in a South Pacific city by Ibtissam Chafia, Jihad Zahir, Christophe Lett, Tarik Agouti, Hajar Mousannif, Laurent Vigliola

“…Both species showed fission–fusion dynamics, with communities merging at dusk, indicating increased movement and a higher risk during this low-light period. A key innovation of our modeling framework was its ability to handle temporal variability in community detection algorithms applied to bipartite networks. …”
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A global Swin-Unet Sentinel-2 surface reflectance-based cloud and cloud shadow detection algorithm for the NASA Harmonized Landsat Sentinel-2 (HLS) dataset by Haiyan Huang, David P. Roy, Hugo De Lemos, Yuean Qiu, Hankui K. Zhang

“…In this study we demonstrate, as have other researchers, low Sentinel-2 Fmask performance, and present a solution that applies a deep learning Swin-Unet model to the HLS surface reflectance to provide unambiguously improved cloud and cloud shadow detection. …”
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A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle–Light Detecting and Ranging by Zhipeng Zeng, Junpeng Miao, Xiao Huang, Peng Chen, Ping Zhou, Junxiang Tan, Xiangjun Wang

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A Unmanned Aerial Vehicle-Based Image Information Acquisition Technique for the Middle and Lower Sections of Rice Plants and a Predictive Algorithm Model for Pest and Disease Detec... by Xiaoyan Guo, Yuanzhen Ou, Konghong Deng, Xiaolong Fan, Ruitao Gao, Zhiyan Zhou

“…In disease prediction, the YOLOv8 target detection algorithm and lightweight Transformer network are adopted to determine the detection performance of small targets. …”
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Assessing the performance of a point-of-need diagnostic algorithm in rapid detection of peripheral lymph node tuberculosis (Mobile-TB-Lab): a diagnostic evaluation study protocol by Dinesh Mondal, Lydia Nakiyingi, Elizabeth Ekirapa Kiracho, Kevin Cassar, Arianna Ceruti, Julius Boniface Okuni, Manfred Weidmann, Bishwajit Bhowmik, Prakash Ghosh, Shaheda Anwar, Martin Siegel, Nishad Tasnim Mithila, Sophie Elisabeth Müller, Farhana Rahman Luba, Rea Maja Kobialka, Bishnu Pada Dey, Syed Nazin Morshed, Cemre Arpa, Md Arko Ayon Chowdhury, Ahmed Abu Saleh, Ahmed Abd El Wahed, Sophie Schneitler

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A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis by Muhammad Zaman, Muhammad Khubaib, Tanzila Kahkashan, Anam Zahoor, Narges Shahbaz, Shahzad Shoukat, Fahma Nisar

“…In the developing countries especially like Pakistan the income of the people are too much low and they cannot offered different type of expensive tests like ECG etc. …”
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A Miniaturized and Intelligent Lensless Holographic Imaging System With Auto-Focusing and Deep Learning-Based Object Detection for Label-Free Cell Classification by Jin Chen, Wentao Han, Liangzun Fu, Zhihang Lv, Haotian Chen, Wenjing Fang, Jiale Hou, Haohan Yu, Xiwei Huang, Lingling Sun

“…Cell detection and classification is a key technique for disease diagnosis, but conventional methods such as optical microscopy and flow cytometry have limitations in terms of field-of-view (FOV), throughput, cost, size, and operation complexity. …”
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A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association by Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong

“…In this study, some key challenges in ViSAR systems are addressed, including the abundance of low-confidence shadow detections, high error rates in multi-target data association, and the frequent fragmentation of tracking trajectories. …”
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Enhancing Security and Privacy in 5G Device-to-Device Communication: A Secure Gale-Shapley Algorithm Approach by Musaad Alruwaili, Junghwan Kim, Jared Oluoch

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Automated polymorphic worm signature generation approach based on seed-extending by Jie WANG, Xiao-xian HE

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