A Review of Cybersecurity Challenges in Smart Power Transformers by Hossein Rahimpour, Joe Tusek, Ahmed S. Musleh, Boyu Liu, Alsharif Abuadbba, Toan Phung, Aruna Seneviratne

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Aircraft Skin Damage Visual Testing System Using Lightweight Devices with YOLO: An Automated Real-Time Material Evaluation System by Kuo-Chien Liao, Jirayu Lau, Muhamad Hidayat

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SIGNAL AS A TOOL OF THE PHARMACOVIGILANCE by E. O. Zhuravleva, N. Yu. Velts, G. V. Kutekhova, M. A. Darmostukova, R. N. Alyautdin

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Hybrid Deep Learning Techniques for Improved Anomaly Detection in IoT Environments by Hanan Abbas Mohammad

Subjects: “…CICIoT2023 Dataset, Feature scaling, IoT Security, Deep learning, LSTM Models, Whale optimization algorithm (WOA), Detect IoT Attacks.…”
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Nonuniform Doppler extraction-enhanced multichannel extensive cancellation algorithm for passive radar using Iridium satellite signals by Hongwei Fu, Zhang Zhang, Yu Luo, Tingting Fu, Jianglin Li, Xin Jian, Hao Cha

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A low complexity pilot assignment algorithm based on user polar coordinates in CF-mMIMO systems by Shao GUO, Peng PAN, Yaozong FAN

“…Absrtact: In order to reduce the pilot contamination in the cell-free massive multi-input multi-output (MIMO) system, a low complexity pilot assignment algorithm based on user polar coordinates was proposed.Firstly, a Gaussian weighted density algorithm was proposed to determine a centroid as the polar coordinates center point in the system coverage area, then pre-assigned the pilot in order according to the angular coordinates, so that users who reused the same pilot had a greater probability of having a longer distance, and henced reduce the pilot contamination.A low complexity distance detection algorithm was then proposed to ensure that the user spacing between any two users multiplexing the same pilot was greater than the threshold.The simulation results show that the proposed pilot assignment algorithm effectively reduce pilot contamination, improve the uplink throughput of 95% users of the system, and achieve a good compromise between performance and complexity.…”
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AI-Driven Identification of Grapevine Fungal Spores via Microscopic Imaging and Feature Optimization with Cuckoo Search Algorithm by Xin Shi, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…Feature selection using the cuckoo search algorithm identified ten key attributes for classification. …”
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Algorithm of the Investigator's and Body of Inquiry's Actions in Investigation of Cellular Frauds by Leila Y. Aksenova

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A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

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An Efficient Algorithm for Finding a Threshold of Useful Signals in the Analysis of Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin

“…The article presents a simple and effective implementation of the algorithm, which is successfully used in practice for the automatic analysis of magnetic and eddy current defectograms.…”
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Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models by Ithiphat Opasatian, Tofael Ahamed

“…Automation can support this difficult work for weed management via driveway detection. In this context, deep learning algorithms have the potential to train models to detect driveways through furrow image segmentation. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

Subjects: “…Cuckoo search algorithm…”
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A Method to Reduce the Algorithm Complexity of the Single-Photodiode-per-Polarization Coherent Receiver by Keji Zhou, Sheng Cui, Yicong Tu, Deming Liu

Subjects: “…field reconstruction algorithm…”
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A New Robust Algorithm for Fault-Plane Parameters Identification: The 2009 L’Aquila (Central Italy) Seismic Sequence Case by Annarita Mangiacapra, Zaccaria Petrillo, Sergio Scippacercola, Luisa Valoroso, Rosa Nappi, Giuliana Alessio, Simona Tripaldi

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Improving the Temporal and Spatial Accuracy of the Normalized Difference Vegetation Index (NDVI) Map using Satellite Image Fusion Algorithms by Zeinab Zaheri Abdehvand, Mostafa Kabolizadeh

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Fault Detection in MV Switchgears Through Unsupervised Learning of Temperature Conditions by Grazia Iadarola, Alessandro Mingotti, Virginia Negri, Susanna Spinsante

Subjects: “…fault detection…”
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Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification by P. Preethi, R. Swathika, S. Kaliraj, R. Premkumar, J. Yogapriya

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Detection of Irrigated and Non-Irrigated Soybeans Using Hyperspectral Data in Machine-Learning Models by Izabela Cristina de Oliveira, Ricardo Gava, Dthenifer Cordeiro Santana, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Mayara Favero Cotrim, Regimar Garcia dos Santos, Rita de Cássia Félix Alvarez, Carlos Antonio da Silva Junior, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro

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Overcoming Fairness and Latency Challenges in BBR With an Adaptive Delay Detection by Zewei Han, Go Hasegawa

“…In 2016, Google introduced a new congestion control algorithm called Bottleneck Bandwidth and Round-trip propagation time (BBR). …”
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Offensive Language Detection in Turkish Language by Using NLP by Rüştü Murat Demirer, Bekir Furkan Kesgin

“…In this thesis, our goal is to develop methods for automatic detection of offensive language in social media. Multiple classification algorithms, including Multinomial Naive Bayes, Gaussian Naive Bayes, SVM, Logistic Regression, and LSTM, are implemented and evaluated. …”
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