Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection by Yujing Wang, Abdul Hadi Abd Rahman, Fadilla ’Atyka Nor Rashid, Mohamad Khairulamirin Md Razali

“…Existing review articles on object detection predominantly focus on the statistical analysis of fusion algorithms, often overlooking the complexities of aligning data from these distinct modalities, especially dynamic environment data alignment. …”
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Algorithmic Coverage Quantification and Visualization in Range-Free Sensor Networks by Maria S. Zakynthinaki, Ioannis S. Barbounakis, Emmanuel N. Antonidakis

“…Interactive satellite maps facilitate the dynamic exploration of coverage via the calculation and visualization of the resulting detection areas. The algorithmic structure of the proposed tool is explained in detail, and four example scenarios demonstrate the tool’s capabilities, as well as its flexibility, adaptability, and effectiveness in identifying the triangulated detection areas. …”
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СONSTRUCTION AND THE ALGORITHM OPERATION OF THE LASER COMBINED FIRE DETECTOR by A. I. Kitsak, A. P. Lushchyk, D. L. Esipovich, V. N. Konon, I. V. Kavalchyk, O. A. Protasevich, I. B. Tretyak

“…The point optical smoke detector is currently the most effective means of fire detection at the early stage of its occurrence. The urgent task for this type of detector is to increase its sensitivity to «black» smoke and ensure resilience to the effects of electromagnetic interference and particle smoke origin.The objective of this work is to develop a structure and algorithm of point combined fire detector that provides high sensitivity to various types of fumes, detection rate and high noise immunity. …”
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Adaptive spectrum sensing algorithm based on cyclostationary spectrum energy by Hao-ye ZHANG, Zhi-hua BAO, Shi-bing ZHANG

“…Focused on the characteristic of cyclostationary spectrum of signal and the spectrum sensing in low signal-to-noise ratio,an adaptive decision threshold spectrum sensing algorithm was proposed,which combines cyclostationary spectrum sensing with energy detection.By weighting the sum of probabilities of detection and false alarm,estimating the eigenvalues of the cyclostationary spectrum,the algorithm provides an adaptive decision threshold which could differentiate the primary signal from the background noise.The simulation results show that the algorithm could perform well in low signal-to-noise ratio and remove the effect of noise uncertainty on the spectrum sensing.It outperforms maximum-minimum eigenvalue and blind detection with 4dB and 8dB respectively in signal-to-noise ratio,and has robustness to different modulated primary signal.…”
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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“…The medical image is divided into regions based on the specific descriptions, such as tissue/organ division in medical applications for border detection, tumor detection/segmentation, and comprehensive and accurate detection. …”
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Vulnerability benchmark generation algorithm based on finite state machines by XIE Yuandong, YAN Xuexiong, ZHAO Guangsheng, ZHAO Xu, QIU Han

“…Experimental results demonstrate that the generated benchmarks more closely resemble the complexity of real software, effectively exposing biases and deficiencies in vulnerability detection tools across different code paths. This study validates the algorithm’s effectiveness and practical utility, confirming that it provides a more comprehensive and realistic benchmark for evaluating vulnerability detection tools.…”
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A Robust Adaptive Control Algorithm for Multimissile Cooperative Formation by Zheng Gong, Mingang Wang, Jingang He, Jin Zhang

“…Therefore, the multimissile cooperative formation control algorithm designed in this paper can meet the requirements of multimissile coordinated detection, thus improving the missile’s cooperative attack capability.…”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Therefore, a classification for rail defects based on image processing algorithm was proposed. Firstly, the Tamura texture feature algorithm was combined with the local binary pattern algorithm to extract the feature values of the defect images, and form feature vectors. …”
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Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution by Yin MI, Guang-yue LU

“…A novel maximum-minimum eigenvalue (NMME) cooperative spectrum sensing algorithm and threshold decision rule are proposed via analyzing minimum eigenvalue limiting distribution of the covariance matrix of the received signals from multiple cognitive users (CU) by means of latest random matrix theory (RMT).The proposed scheme could not need the prior knowledge of the signal transmitted from primary user (PU) and could effectively overcome the noise uncertainty.At a given probability of false alarm (P<sub>fa</sub>),simulation results show that the proposed scheme can get lower decision threshold and higher probability of detection (P<sub>d</sub>) compared with the original algorithm,and it can also get better detection performance with fewer CU and smaller sample numbers.…”
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Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms by Chi Zhang, Xi Zhang, Jie Zhang, Gui Gao, Yongshou Dai, Genwang Liu, Yongjun Jia, Xiaochen Wang, Yi Zhang, Meng Bao

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Congestion control algorithms in wireless sensor networks: Trends and opportunities by Syed Afsar Shah, Babar Nazir, Imran Ali Khan

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High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise by Haiping Jiang, Salah Bourennane, Caroline Fossati

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A Distributed Algorithm to Critical Node Identification in IoT Networks by Ali Lalouci, Zoubeyr Farah

“…In this paper, we introduce a distributed algorithm to address the Component-Cardinality- Constrained Critical Node Problem (3C-CNP) in IoT networks, a variant of the widely studied Critical Node Detection Problem (CNDP). …”
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Algorithm for continual monitoring of fog based on geostationary satellite imagery by B. Jahani, B. Jahani, B. Jahani, S. Karalus, J. Fuchs, J. Fuchs, T. Zech, M. Zara, M. Zara, J. Cermak, J. Cermak

“…Validation of the algorithm against the METAR data showed that the algorithm is well suited for the detection of FLS. …”
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An investigation of Bayes algorithm and neural networks for identifying the breast cancer by E Udayakumar, S Santhi, P Vetrivelan

“…In this project, using low-level preprocessing techniques and image segmentation, the breast cancer detection is done. Methods: With the help of Bayes algorithm and neural networks (NNs), the type of the mammogram and stages is identified. …”
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Developing an Algorithm for Robotic Precision Application of Crop Protection Products by M. A. Mirzaev

“…Mask R-CNN and Deeplabv3 plus segmenting neural networks were chosen for crop (white head cabbage) detection. The network-based algorithm detects, segments, and positions plants based on a dataset collected in the image-mask and COCO dataset formats. …”
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GIS vibration signal denoising algorithm based on SVD-IACMD by TU Jiayi, GUAN Xiangyu, ZHAO Junyi, LIN Jiangang, LAI Zekai

“…However, the vibration signals of the GIS body are affected by the base vibration, measurement noise, and environmental noise, which leads to poor performance in on-site GIS vibration live detection and mechanical defect diagnosis. In response to the current situation, an on-site vibration signal denoising diagnosis algorithm based on the singular value decomposition (SVD)-improve adaptive chirp mode decomposition (IACMD) algorithm is proposed. …”
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Simulation study of muon localization based on the LSTM regression algorithm by ZHANG Haifeng, LUO Siyuan, LIU Xiangman, HE Lie, XIAO Wancheng, YIN Longxiang, WANG Ke, ZOU Yuchen, LIU Yuchen, WANG Xiaodong

“…Then, three types of artificial intelligence regression algorithms, i.e., extreme gradient boosting (XGBoost), multilayer perceptron (MLP) and long short-term memory (LSTM), were employed as the method for muon localization.ResultsThe simulation results demonstrate that LSTM algorithm achieves the highest accuracy among the three regression algorithms when photon number is considered as the characteristic parameter. …”
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Applying of Kutter-Jordan-Bossen steganography algorithm to video sequences by N. V. Lysenko, G. M. Labkov

“…The influence of different types of noise on the algorithm stability is evaluated. It is shown that the resistance to noise interferences can be improved by increasing the number of embedding one bit, however, this increases the probability of detection of hidden information is not an authorized user.…”
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Classification Algorithms for Early Tooth Demineralization Assessment by Impedance Spectroscopy by Isabella Sannino, Luca Lombardo, Leila Es Sebar, Marco Parvis, Allegra Comba, Nicola Scotti, Emma Angelini, Leonardo Iannucci, Tolou Shokuhfar, Sabrina Grassini

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