Deep Learning Based Channel Estimation for UAVs: A Modified U-Net Approach by GUPTA, C., YADAV, S. S.

“…Key challenges include the UAV's high mobility (10-100 km/h) and an unstable data link. Orthogonal frequency division multiplexing (OFDM) enables higher data rate transmission with improved bandwidth efficiency, while minimizing channel effects on the received signal and enhancing bit error rate (BER) performance. …”
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Influence of Viscous Effects on Mooring Buoy Motion by Yunmiao Li, Jian Zhou, Heping Wang, Chenxu Wang

“…They can provide a foundation for addressing more applied problems of data error-correcting and trajectory predictions.…”
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Determination of the Shortest Hamiltonian Paths in an Arbitrary Graph of Distributed Databases by E. G. Andrianova, V. K. Raev, D. I. Filgus

“…The effectiveness of the task solution was evaluated using a systems approach, system analysis and the theory of operations research. Processing of experimental data obtained during the work was carried out in accordance with the provisions of mathematical statistics.…”
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Long-Distance Measurements Using a Chromatic Confocal Sensor by Kiril Ivanov Kurtev, Juan Manuel Trujillo-Sevilla, José Manuel Rodríguez-Ramos

“…The calibration process simplifies data analysis and improves the accuracy of displacement measurements in experimental setups. …”
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Transmission Scheme for Massive MIMO Systems Using Nulling-Based Approach by Prateek Anand, Arti M.K., Manoranjan Kumar

“…We discuss massive MIMO systems, in which diversity gain is very high (of the order of 104 for a 100×100 system) and a high data rate can also be provided. We propose new transmission schemes with different data rates for a massive MIMO system in Rayleigh fading. …”
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Prediction method of TBM excavation axis deviation for small turning tunnels based on LSTM neural network by Lijie DU, Hongda HAO, Qingwei LI, Yalei YANG, Weidong ZHANG, Jiayi LIU, Hongchao FENG

“…Firstly, the data is preprocessed, including binary discriminant function and other methods, and the 24 dimensional tunneling parameters are selected by Pearson analysis method as the input of prediction model. …”
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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

“…The model integrates random forest decision-making with multi-layer perceptron feature learning, incorporating sentiment analysis and advanced data processing pipelines to generate personalized learning trajectories while maintaining model transparency. …”
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Reliable models for calculating the condensation heat transfer inside smooth helical tubes of different flow directions utilizing smart computational techniques by Chou-Yi Hsu, Nikunj Rachchh, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Ahmad Alkhayyat, Prabhat Kumar Sahu, Abhinav Kumar, Satvik Vats, F. Ranjbar

“…Also, more than 96% of the HTC values calculated by the GPM model were situated within a ± 5% error margin. The accuracy of the literature correlations was also analyzed based on the collected data, and it was found that all of them showed MAPE values exceeding 25% from the experimental data. …”
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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits by He Xu, Yuzhuo Ma, Lin-lin Xu, Yin Li, Yufei Liu, Ying Li, Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue, Wenjian Bi

“…Extensive simulations and real data analyses demonstrated that SPAGRM maintains well-controlled type I error rates and SPAGRM(CCT) can serve as a broadly effective method. …”
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Tower Frequency Monitoring Solution and Implementation for Wind Turbine Generator Systems by LIU Jinrui, GUO Yanyifu

“…The technical innovation lies in the realization of high-precision frequency monitoring through real-time vibration data acquisition and FFT-based frequency domain analysis. …”
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Analysing and Forecasting the Energy Consumption of Healthcare Facilities in the Short and Medium Term. A Case Study by Ali Koç, Serap Ulusam Seçkiner

“…The approach adopted for predicting hospital energy consumption involves five steps: data acquisition, data pre-processing, data prediction, hyper-parameter optimisation and feature analysis. …”
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KESANTUNAN TINDAK TUTUR IMPERATIF DALAM PENGAJARAN BAHASA INGGRIS PADA MAHASISWA DI KABUPATEN DHARMASRAYA by Lusiana Lusiana, Nidya Fitri

“…Then, the technique used is the participant  technique and basic technique  is sadap technique. Data analysis is used pragmatic method of indeterminate become a partner between collage students and lecturer. …”
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CRYPTOCURRENCY PRICE PREDICTION: A HYBRID LONG SHORT-TERM MEMORY MODEL WITH GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY by Indah Manfaati Nur, Rifqi Nugrahanto, Fatkhurokhman Fauzi

“…The results of the GARCH-LSTM hybrid model in this study show a Mean Absolute Percentage Error (MAPE) value of 15.69%. The accuracy value is obtained from the division of training data by 80% and testing data by 20%, with the number of neurons as many as three and epochs of 100 using the Adam optimizer. …”
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Novel methods for selecting stock portfolio in conditions of uncertainty and forecasting with RR-DEA, ANFIS, FGP: A case study of Tehran stock exchange. by Mohammadmahdi Taheri, Amir Azizi, Emran Mohammadi, Abbas Saghaei

“…In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”
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The UK Functional Assessment Measure (UK FIM+FAM): Psychometric Evaluation in Patients Undergoing Specialist Rehabilitation following a Stroke from the National UK Clinical Dataset... by Meenakshi Nayar, Roxana Vanderstay, Richard J Siegert, Lynne Turner-Stokes

“…For factor analysis, admission and discharge data were pooled and randomised into two equivalent samples; the first for exploratory factor analysis (EFA) using principal components analysis, and the second for confirmatory factor analysis (CFA). …”
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Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study by Selene Y L Tan, Jia Xin Chai, Minwoo Choi, Umair Javaid, Brenda Pei Yi Tan, Belinda Si Ying Chow, Hairil Rizal Abdullah

“…However, there is limited data regarding the use of this technology in patients with diverse skin tones and medical comorbidities. …”
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Between-Day Reliability of Kinematic Variables Using Markerless Motion Capture for Single-Leg Squat and Single-Leg Landing Tasks by Matias Yoma, Lee Herrington, Chelsea Starbuck, Luis Llurda, Richard Jones

“…In both technologies, full curve analysis was examined using root mean square difference (RMSD) and discrete point analysis (initial contact and peak knee flexion) using intraclass correlation coefficient (ICC) and standard error of measurement (SEM). …”
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Range and Wave Height Corrections to Account for Ocean Wave Effects in SAR Altimeter Measurements Using Neural Network by Jiaxue Wang, Maofei Jiang, Ke Xu

“…It has the capability of simultaneous generation of both LRM and HRM data. This study utilizes Sentinel-6 altimetry data and ERA5 re-analysis data to identify the influence of ocean waves. …”
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Performance evaluation of non-invasive cardiac output monitoring device (HemoVista) based on multi-channel thoracic impedance plethysmography technology by Jaehee Park, Byung-Moon Choi

“…Results A total of 7,138 pairs of CO data from the 20 patients were included in the analysis. …”
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AirTrace-SA: Air Pollution Tracing for Source Attribution by Wenchuan Zhao, Qi Zhang, Ting Shu, Xia Du

“…Air pollution source tracing is vital for effective pollution prevention and control, yet traditional methods often require large amounts of manual data, have limited cross-regional generalizability, and present challenges in capturing complex pollutant interactions. …”
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