Adaptive Noise-Powered Diffusion Model for Efficient and Accurate Object Detection by Xingyu Zou, Kaixu Han, Xinle Zhang, Wenhao Wang, Ning Wu

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AI-Powered System for an Efficient and Effective Cyber Incidents Detection and Response in Cloud Environments by Mohammed Ashfaaq M. Farzaan, Mohamed Chahine Ghanem, Ayman El-Hajjar, Deepthi N. Ratnayake

“…This research makes a significant contribution to the field of AI-powered cybersecurity by showcasing the powerful combination of AI models and cloud infrastructure to fill critical gaps in cyber incident response. …”
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Utilization of Stockwell Transform and Random Forest Algorithm for Efficient Detection and Classification of Power Quality Disturbances by T. Ravi, K. Sathish Kumar, C. Dhanamjayulu, Baseem Khan

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Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM by Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais

“…The increasing complexity of modern power systems, driven by smart grid technologies, dispersed generation, and renewable energy sources, has made power quality (PQ) evaluation more challenging. …”
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A System for Efficient Detection of Forest Fires through Low Power Environmental Data Monitoring and AI by İpek Üremek, Paul Leahy, Emanuel Popovici

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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…By significantly reducing false positives and ensuring rapid anomaly detection with low computational overhead, the proposed DRL-NSABC framework enables efficient real-world deployment in smart power distribution systems without major infrastructure upgrades and promotes cost-effective, resilient power grid operations.…”
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AI-Powered Identification of Osteoporosis in Dental Panoramic Radiographs: Addressing Methodological Flaws in Current Research by Robert Gaudin, Shankeeth Vinayahalingam, Niels van Nistelrooij, Iman Ghanad, Wolfus Otto, Stephan Kewenig, Carsten Rendenbach, Vasilios Alevizakos, Pascal Grün, Florian Kofler, Max Heiland, Constantin von See

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Smart Vehicle Parking System with Rfid-Based Authentication and Ai-Powered Slot Detection by Kalaivani S, Parnasree Chakraborty, Mahalakshmi alias Isakki

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Efficient detection technique in a MIMO system using the received signal compensation algorithm by Mahamat Saleh Idriss Mahamat, Luc Eyembe Ihonock, Joseph Salomon V. Tonga Manga, Bakhit Amine Adoum, Ali Mahamoud Ali, Jean-Francois Dikoundou Essiben, Mahamoud Youssouf Khayal, Yong Suk Joe

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Smart Irrigation System with IoT, Machine Learning, and Solar Power for Efficient Plant Care by Justin M. A. Capcha-Ochoa, Jefferson A. Chahua-Benito, Miguel A. Serafin-Cayllahua, Sebastian E. Mamani-Martinez, Jesus G. Mendivil-Imbertis, Jordan I. Mendoza-Fernandez, Roberto J. M. Casas-Miranda, Maritza Cabana-Cáceres, Cristian Castro-Vargas

“…Experimental results indicate a 43.7% reduction in water consumption, efficient detection of plant problems (93.86% accuracy), and increased security. …”
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Transfer learning based EfficientNet method for transmission line insulator flaw detection by Aleena Swetapadma, Anamika Yadav

“…The proposed method can be used for accurately detecting the flawed insulator in power transmission lines.…”
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ResnetCPS for Power Equipment and Defect Detection by Xingyu Yan, Lixin Jia, Xiao Liao, Wei Cui, Shuangsi Xue, Dapeng Yan, Hui Cao

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Intelligent digital twin utilization for real-time forecasting and optimization of the ship's power system by Mykola Bulgakov, Oleksiy Melnyk

Subjects: “…ship power system…”
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Time series analysis of energy usage patterns by Tanzania large power users by Diana Rwegasira, Edward Ngailo, Elimboto Yohana, Noel Masasi

Subjects: “…Anomaly detection…”
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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

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Automatic Analysis of Operational Failures of Electric Power Station Equipment – Efficient Method for Reduction in Expenditure for Power Generation by V. A. Yanitsky

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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

“…Finally, we proposed an efficient-RepGDFPN fusion network. This network integrates feature maps from different levels to detect isolation switches at multiple scales in monitoring scenarios. …”
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Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications by Mingzhe Lyu, Helin Gong, Zhang Chen, Jiangyu Wang, Mingxiao Zhong, Zhiyong Wang, Qing Li, Zefei Pan

“…This study proposes a hybrid framework for power prediction and fault detection that integrates multi-head self-attention mechanisms with long short-term memory networks, combined with a dual-monitoring system. …”
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Transmit Power-Efficient Beamforming Design for Integrated Sensing and Backscatter Communication by Shayan Zargari, Diluka Galappaththige, Chintha Tellambura

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Simultaneously Detecting the Power and Temperature of a Microwave Sensor via the Quantum Technique by Zhenrong Zhang, Yuchong Jin, Jun Tang, Jun Liu

“…This study introduces a novel method for the simultaneous detection of microwave sensor power and temperature, leveraging nitrogen-vacancy (NV) centers as a robust quantum system. …”
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