On-Chip Age Estimation Using Machine Learning by Turki Alnuayri, Saqib Khursheed, Daniele Rossi

“…The semiconductor supply chain industry is spread worldwide to reduce costs and meet the high demand for integrated circuits (ICs) in electronic systems. The high utilisation of electronic devices in the next decade is forecasted to reach trillions, increasing the already high volume of e-waste. …”
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BankNet: Real-Time Big Data Analytics for Secure Internet Banking by Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui, Jia Uddin

“…By addressing critical challenges in fraud detection and operational efficiency, BankNet establishes itself as a robust decision support system for modern Internet banking. …”
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Autoregressive Neural Network for Cloud Concentration Forecast from Hemispheric Sky Images by Cristian Crisosto

“…The new algorithm could be used as a tool for the stable maintenance of the network for the transmission system operators, i.e., the primary control reserve (within 30 seconds) and the secondary control reserve (within 5 minutes).…”
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Lake Water Level Estimation with Artificial Intelligence Methods by Aysu AYAR, Fatih ÜNEŞ, Bestami TAŞAR, Hakan VARÇIN

“…M5 Decision Tree (M5 Tree), Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) models were selected for lake water level estimation and model results were compared with real observation results. …”
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TBM construction risk analysis based on fuzzy Bayesian network by Fangdi Xie, Yong Zhou

“…In the case of incomplete data, the Bayesian network model can be established by employing the prior probability to describe the state of the root node through expert scoring, ideal for system predictions lacking data. …”
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REAL TIME ASSESSMENT OF 500-KVA, 11/0.415 KV DISTRIBUTION TRANSFORMER SITUATED AT BELLS UNIVERSITY OF TECHNOLOGY, OTA, OGUN STATE USING FLUKE 435 SERIES II by ABRAHAM OLATIDE AMOLE, KAZIM IDOWU OKUSAGA, OLUFEMI OLANREWAJU ODEKUNLE, IKECHUKWU JOSEPH ODITA

“…The assessment revealed wide variation of system voltages far from the standard, however, the line power factor and as well as frequency of operation was observed to be within the standard. …”
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A New Transformer Network for Short-Term Global Sea Surface Temperature Forecasting: Importance of Eddies by Tao Zhang, Pengfei Lin, Hailong Liu, Pengfei Wang, Ya Wang, Weipeng Zheng, Zipeng Yu, Jinrong Jiang, Yiwen Li, Hailun He

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CMRNet: An Automatic Rapeseed Counting and Localization Method Based on the CNN-Mamba Hybrid Model by Jie Li, Chenbo Yang, Chengyong Zhu, Tao Qin, Jingmin Tu, Binhui Wang, Jian Yao, Jiangwei Qiao

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Real-time motion detection using dynamic mode decomposition by Marco Mignacca, Simone Brugiapaglia, Jason J. Bramburger

“…Abstract Dynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or with a fixed frequency of oscillation. …”
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Bulgarian banking: looking for sustainability by Garabed Minassian

“…In this work, we trace and analyze the emergence of the crisis in the Bulgarian banking system as well as the behavior of the central bank and other macroeconomic institutions. …”
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An Open-Access Repository of Synchrophasor Data Quality Examples: Curation and Example Applications by Shuchismita Biswas, Tianzhixi Yin, Syed Ahsan Raza Naqvi, Jim Follum, Antos Cheeramban Varghese, Tawsif Ahmad, Pavel Etingov

“…Synchrophasor measurements are critical in providing wide-area situational awareness to power system operators. However, data artifacts may be introduced in these measurements due to various factors such as loss of communication, loss of GPS signal, internal clock error, and vendor-specific implementation of phasor estimation algorithms. …”
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Short-Term Power Load Forecasting Based on DPSO-LSSVM Model by Shujun Ji, Linhao Zhang, Jinteng Wang, Tao Wei, Jiadong Li, Bu Ling, Jinglong Xu, Zuoping Wu

“…The accurate prediction of short-term power load is a critical element for maintaining the normal and stable operation of the power system. For short-term power load forecasting, the collected power load data is preprocessed to quantify temperature, weather, and date types. …”
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Automated Layer-by-Layer Soil Tillage Machine Using a Highly Turbulent Air Jet by B. Kh. Akhalaya, Yu. S. Tsench, N. I. Belyaeva

“…Moreover, the system enhances quality indicators and reduces fuel consumption. …”
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Dynamic calculation of heat-flow coupled mine ventilation network with introduction of air volume fluctuation factor by Tong JIA, Heng MA, Ke GAO

“…Under the framework that the air flow is a polytropic process involving coupled aerodynamic and thermodynamic processes, the real-time and accurate mapping of the system operation state is equivalent to dynamically calculation the heat-flow coupling fluctuation mine ventilation network under time series. …”
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Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions by Selçuk Usta

“…ETo can be most accurately measured using lysimeter systems. However, high installation and operating costs, as well as difficult and time-consuming measurement processes limit the use of these systems. …”
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Short time solar power forecasting using P-ELM approach by Shuqi Shi, Boyang Liu, Long Ren, Yu Liu

“…Abstract Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. …”
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Irrigation controller mechanically actuated by soil-water tension: II - Field evaluations by Alexsandro C. S. Almeida, Tarlei A. Botrel, Steven R. Raine, Antonio P. de Camargo, Marinaldo F. Pinto, Conan A. Salvador

“…Each controller controlled the irrigation of one lateral drip line. The drip irrigation system was gravity-fed from a water source placed 7 m above the soil surface. …”
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Adjustment Method of “FAST” Active Reflector Based on Optimal Fitting Strategy by Yu-Chen Xia

“…Firstly, this paper studies the offset characteristics of fast main cable node position, combined with the position of the celestial body to be measured, the follow-up coordinate system is established, and the optimal fitting model of active reflector adjustment based on discrete main cable node is established by using the idea of optimal fitting of the ideal surface. …”
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A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data by Min Hyuk Lim, Hyocheol Chae, Jeongwon Yoon, Insik Shin

“…We propose a deep learning framework for glucose level inference that operates independently of prior glucose measurements, utilizing comprehensive life-log data. …”
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Orbit Determination for Continuously Maneuvering Starlink Satellites Based on an Unscented Batch Filtering Method by Anqi Lang, Yu Jiang

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