Results 251 to 260 of about 147,000 (286)
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Wavelet-SARIMA-Transformer: a hybrid model for rainfall forecasting
Theoretical and Applied ClimatologyRainfall forecasting in monsoon-dominated regions is challenging due to the nonlinear, nonstationary, and scale-dependent nature of precipitation dynamics.
Junmoni Saikia +2 more
semanticscholar +1 more source
Improving time series forecasting using LSTM and attention models
Journal of Ambient Intelligence and Humanized Computing, 2021H. Abbasimehr, Reza Paki
semanticscholar +1 more source
Deep Learning-Based Vehicular Millimeter-Wave Channel Prediction Using Visual Information
IEEE Antennas and Wireless Propagation LettersMillimeter-wave channel prediction requires detailed and accurate environmental information due to the challenges of non-line-of-sight transmission and severe reflection and scattering.
Shirui Wang +8 more
semanticscholar +1 more source
International Conferences on Information Science and System
The increasing reliance on renewable energy resources has introduced significant challenges in microgrid energy management, particularly during islanding conditions.
M. Ramya, T. Devaraju
semanticscholar +1 more source
The increasing reliance on renewable energy resources has introduced significant challenges in microgrid energy management, particularly during islanding conditions.
M. Ramya, T. Devaraju
semanticscholar +1 more source
RiskAwareTNet: A Multi-Task Deep Learning Framework for Stock Price Prediction and Risk Assessment
European Conference on Cognitive ErgonomicsThis paper introduces RiskAwareTNet, a novel deep-learning model designed for multi-task learning that addresses stock price prediction and risk evaluation.
Afsana Alam Nova +5 more
semanticscholar +1 more source
2025 3rd International Conference on Software Engineering and Information Technology (ICoSEIT)
Predicting free cash flow is vital task for estimating a company’s future financial outlook and supporting informed investment decisions. This study employs Light Gradient Boosting Machine (LGBM) to forecast FCF.
Dhiaurizqi Ramadhani Sanusi, D. Saepudin
semanticscholar +1 more source
Predicting free cash flow is vital task for estimating a company’s future financial outlook and supporting informed investment decisions. This study employs Light Gradient Boosting Machine (LGBM) to forecast FCF.
Dhiaurizqi Ramadhani Sanusi, D. Saepudin
semanticscholar +1 more source
Optimum design of a novel plasmonic absorber-based material sensor using metaheuristic algorithm
Physica ScriptaThis paper presents a miniaturized plasmonic absorber-based material sensor operating at 0.8 THz, designed using a multilayer graphene-polyimide structure.
G. Ananthakrishnan +2 more
semanticscholar +1 more source
Conference on Empirical Methods in Natural Language Processing
Temporal question answering is an established method for evaluating temporal reasoning in large language models. Expected answers are often numeric (e.g., dates or durations), yet model responses are evaluated like regular text with exact match (EM ...
Auss Abbood, Zaiqiao Meng, Nigel Collier
semanticscholar +1 more source
Temporal question answering is an established method for evaluating temporal reasoning in large language models. Expected answers are often numeric (e.g., dates or durations), yet model responses are evaluated like regular text with exact match (EM ...
Auss Abbood, Zaiqiao Meng, Nigel Collier
semanticscholar +1 more source
An Integrated LSTM-TabNet Ensemble with Elastic Net for Jakarta Composite Index Forecasting
2025 1st International Conference on Emerging Trends in Information Systems and Informatics (ICETISI)Forecasting the Jakarta Composite Index (IHSG) remains challenging due to its high sensitivity to global financial dynamics and nonlinear market interactions.
Muhammad Rangga Miftahul Falah +3 more
semanticscholar +1 more source
Mathematical Modelling of Remote Sensing Time Series: A Case Study of Hurst Castle
WSEAS Transactions on Environment and DevelopmentThis study presents a multi-temporal analysis of displacement data from Sentinel-1 Synthetic Aperture Radar data at Hurst Castle with datasets sourced from the European Ground Motion Service, and temperature records from Ventnor Park and Otterbourne ...
Anastasia Sofroniou +3 more
semanticscholar +1 more source

