Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis by Rachid Bourday, Issam Aatouchi, Mounir Ait Kerroum, Ali Zaaouat

“…Our experiments demonstrate that the Transformer with the XGBoost model outperforms the baseline models, achieving a Mean Absolute Error (MAE) of 0.011 and a Root Mean Squared Error (RMSE) of 0.018. …”
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Sensitivity Analysis of a CPAM Inverse Algorithm for Composite Laminates Characterization by Farshid Masoumi, Ahmad Ghasemi Ghalebahman

“…An inverse method based on particle swarm optimization algorithm is further provided using MATLAB software. The error function to be minimized is the sum of squared differences between experimental and simulated data of eigenfrequencies. …”
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Navigating Samarinda's climate: A comparative analysis of rainfall forecasting models by Mislan, Andrea Tri Rian Dani

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Analysis of the Influence of Different Turbulence Models on the Prediction of Vehicle Aerodynamic Performance by Luwei Wang, Xingjun Hu, Peng Guo, Zirui Wang, Jingyu Wang, Yuqi Wang, Yan Ma, Ying Li, Jing Zhao, Xu Yang, Ruixing Ma, Yinan Zhu, Jianjiao Deng

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Teachers' judgment accuracy: A replication check by psychometric meta-analysis. by Esther Kaufmann

“…Our results demonstrate the importance of considering aggregation and publication bias as well as correcting for the most important artifacts (e.g., sampling and measurement error), but also that most studies fail to report the data needed for conducting a meta-analysis according to current best practices. …”
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Forgery Detection in Dynamic Signature Verification by Entailing Principal Component Analysis by Shohel Sayeed, S. Andrews, Rosli Besar, Loo Chu Kiong

“…The critical analysis of the data glove-based signature identification and forgery detection system emphasizes the essentiality of noise-free signals for input. …”
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Tensor-Based Cybersecurity Analysis of Smart Grids Using IT/OT Convergence by Danial Jafarigiv, Keyhan Sheshyekani, Marthe Kassouf

“…In this paper, we propose a tensor-based cybersecurity data analysis method and we prove its efficiency using tensors of IT and OT data obtained through the cosimulation of an electricity distribution system using wireless Long-Term Evolution (LTE) technology for synchrophasor communications. …”
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Analysis of parameters of the exponentiated inverse Rayleigh distribution under the Bayesian framework

“…Extensive simulation as well as real data analysis is carried out to show the relative performances of the priors and loss functions by comparing the respective BPRs. …”
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Domestic public diplomacy as a communications strategy. Analysis of the Spanish case by Israel Doncel-Martín, Carlos Elías

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Kinematics Analysis of Grasping Manipulator based on ART-RBF Learning Algorithm by Kai Wang, XiaoJin Wan

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Comparative analysis of interpolation methods for rainfall mapping in the Faria catchment, Palestine by Sameer Shadeed, Anan Jayyousi, Abdelhaleem Khader, Christian Chwala, Harald Kunstmann

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An Improved Version of the Prewhitening Method for Trend Analysis in the Autocorrelated Time Series by Rahul Sheoran, Umesh Chandra Dumka, Rakesh K. Tiwari, Rakesh K. Hooda

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Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1 by Birger Moëll, Fredrik Sand Aronsson, Fredrik Sand Aronsson, Sanian Akbar

“…While models like DeepSeek R1-which incorporates explicit reasoning steps-show promise in enhancing performance and explainability, their alignment with domain-specific expert reasoning remains understudied.MethodsThis paper evaluates the medical reasoning capabilities of DeepSeek R1, comparing its outputs to the reasoning patterns of medical domain experts.ResultsThrough qualitative and quantitative analyses of 100 diverse clinical cases from the MedQA dataset, we demonstrate that DeepSeek R1 achieves 93% diagnostic accuracy and shows patterns of medical reasoning. Analysis of the seven error cases revealed several recurring errors: anchoring bias, difficulty integrating conflicting data, limited consideration of alternative diagnoses, overthinking, incomplete knowledge, and prioritizing definitive treatment over crucial intermediate steps.DiscussionThese findings highlight areas for improvement in LLM reasoning for medical applications. …”
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A time series analysis of mineral revenue and economic growth in Ghana by Frank Boateng, Gomashie Edem Wisdom, Sulaiman Olusegun Atiku

“…The study employed techniques such as the Vector Error Correction Model, Granger Causality, variance decomposition, and VAR for time series data analysis. …”
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The Impact of Cognitive Biases on Corporate Decision-Making: Analysis and Mitigation Strategies by He Ruoyan

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Recurrent neural networks for aerodynamic parameter estimation with Lyapunov stability analysis by Sara Mohan George, S. S. Selvi, J. R. Raol

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Analysis of Digital Television Signal Reception in Combined Transmitter Antenna Systems by Hana Fatimah Zahra, Endah Setyowati, Dewi Indriati Hadi Putri

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Temporal and spatial pattern analysis and forecasting of methane: Satellite image processing by Fatima Elshukri, Noor Hussam Abusirriya, Nathan Joseph Braganza, Abdulkarem Amhamed, Odi Fawwaz Alrebei

“…These predictions are rigorously validated by comparing the predicted methane concentrations with observed data, resulting in a Root Mean Square Error (RMSE) that underscores the model's predictive accuracy. …”
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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…Validation against RTM Group’s real-world data showed an audit duration prediction error margin within a few percentage points. …”
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TECHNIQUE OF CONSTRUCTION AND ANALYSIS OF GLONASS FIELDS OF ACCURACY IN THE GIVEN ZONE OF AIRSPACE by O. N. Skrypnik, R. O. Aref`ev, N. G. Astrakhanceva

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