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Citations	Article
70	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
56	Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview by Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
46	Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction by Vienna N. Katambire, Richard Musabe, Alfred Uwitonze and Didacienne Mukanyiligira
46	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
35	Impact of PV and EV Forecasting in the Operation of a Microgrid by Giampaolo Manzolini, Andrea Fusco, Domenico Gioffrè, Silvana Matrone, Riccardo Ramaschi, Marios Saleptsis, Riccardo Simonetti, Filip Sobic, Michael James Wood, Emanuele Ogliari and Sonia Leva
28	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
28	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
28	Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models by Bishal Poudel, Dewasis Dahal, Mandip Banjara and Ajay Kalra
25	Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations by Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro and Érick Oliveira Rodrigues
24	Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach by C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul

Citations	Article
70	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
28	Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models by Bishal Poudel, Dewasis Dahal, Mandip Banjara and Ajay Kalra
25	Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations by Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro and Érick Oliveira Rodrigues
23	Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps by László Vancsura, Tibor Tatay and Tibor Bareith
22	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
15	Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning by Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj and Emma E. Regentova
15	A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets by Parul Dubey, Pushkar Dubey and Pitshou N. Bokoro
13	Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu and Julian Wang
12	Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi
11	Granger Causality-Based Forecasting Model for Rainfall at Ratnapura Area, Sri Lanka: A Deep Learning Approach by Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj and Musa Mammadov

Citations	Article
9	Machine Learning Forecasting of Direct Solar Radiation: A Multi-Model Evaluation with Trigonometric Cyclical Encoding by Latif Bukari Rashid, Shahzada Zaman Shuja and Shafiqur Rehman
7	From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting by Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu and Wai-Lun Lo
7	Cross-Regional Deep Learning for Air Quality Forecasting: A Comparative Study of CO, NO₂, O₃, PM_2.5, and PM₁₀ by Adam Booth, Philip James, Stephen McGough and Ellis Solaiman
6	Deep Learning-Based Multi-Source Precipitation Forecasting in Arid Regions Using Different Optimizations: A Case Study from Konya, Turkey by Vahdettin Demir
5	Advanced Techniques for Financial Distress Prediction by Lee-Wen Yang, Nguyen Thi Thanh Binh and Jiang Meng Yi
5	Smarter Chains, Safer Medicines: From Predictive Failures to Algorithmic Fixes in Global Pharmaceutical Logistics by Kathleen Marshall Park, Sarthak Pattnaik, Natasya Liew, Triparna Kundu, Ali Ozcan Kures and Eugene Pinsky
5	Demand Forecasting in the Automotive Industry: A Systematic Literature Review by Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates
4	AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data by Romulo Murucci Oliveira, Deivid Campos, Katia Vanessa Bicalho, Bruno da S. Macêdo, Matteo Bodini, Camila Martins Saporetti and Leonardo Goliatt
4	A New Loss Function for Enhancing Peak Prediction in Time Series Data with High Variability by Mahan Hajiabbasi Somehsaraie, Soheyla Tofighi, Zhaoan Wang, Jun Wang and Shaoping Xiao
4	Research on Dynamic Hyperparameter Optimization Algorithm for University Financial Risk Early Warning Based on Multi-Objective Bayesian Optimization by Yu Chao, Nur Fazidah Elias, Yazrina Yahya and Ruzzakiah Jenal

Citations	Article
3	GDP Forecasting with ARIMA, Hidden Markov Models, and an HMM–LSTM Hybrid: Evidence from Five Economies by Achilleas Tampouris and Chaido Dritsaki
3	Prediction of Scour Hole Geometry Downstream of Ski-Jump Spillways Using Novel Intelligent Computational Machine Learning Models by Mehrshad Samadi, Aydin Shishegaran, Mina Torabi and Zohreh Sheikh Khozani
2	Advances in Similar Day Methods for Short-Term Load Forecasting for Power Systems by Monica Borunda, Luis Conde-López, Gerardo Ruiz-Chavarría, Guadalupe Lopez Lopez, Victor M. Alvarado and Edgardo de Jesús Carrera Avendaño
1	Singular Design Foresight: A Foundational Method for Auditable Anticipation and Decision Closure by Pablo Lara-Navarra, Antonia Ferrer-Sapena and Enrique A. Sánchez-Pérez
1	Forecasting the Evolving Composition of Guest Origin Markets in Platform Bookings: A Bayesian Compositional Time-Series Approach Using Airbnb Data by Harrison E. Katz
1	DG-TFT-CQR: A Dynamic Graph–Temporal Fusion Transformer with Conformalized Quantile Regression for Wind Power Forecasting by Yassir El Bakkali, Nissrine Krami, Youssef Rochdi and Achraf Boukaibat
1	Interactions Between Business Cycles, Financial Cycles and Monetary Policy in South Africa by Malibongwe Cyprian Nyati, Paul-Francois Muzindutsi and Christian Tipoy
1	Regime-Aware Stock Index Forecasting Under Latent Market States: A Hybrid Statistical Learning Framework with Cross-Market Validation by Chunxia Tian, Roengchai Tansuchat and Songsak Sriboonchitta
1	Longitudinal Growth Dynamics and Future Potential for the Supply–Demand Trend of Mango and Avocado Exports in Australia by Sabrina Haque, Nuruzzaman Khan, Delwar Akbar, Susan Kinnear and Azad Rahman
1	Multi-Scale Forecasting of Natural Rubber Prices Using VMD-Augmented BiLSTM: A Hybrid Architecture Ablation Study by Montchai Pinitjitsamut

Citations	Article
199	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
99	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
91	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
75	Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin by Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
75	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
74	A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks by Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli
70	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
69	Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices by Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi
67	A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance by Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo
63	Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models by Apostolos Ampountolas

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18570	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
16054	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira
10339	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
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9462	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
8767	The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand by Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri
8534	Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning by Lyne Imene Souadda, Ahmed Rami Halitim, Billel Benilles, José Manuel Oliveira and Patrícia Ramos
8266	Demand Forecasting in the Automotive Industry: A Systematic Literature Review by Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates

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8266	Demand Forecasting in the Automotive Industry: A Systematic Literature Review by Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates
5499	EXPERT: EXchange Rate Prediction Using Encoder Representation from Transformers by Efstratios Bilis, Theophilos Papadimitriou, Konstantinos Diamantaras and Konstantinos Goulianas
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4618	From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting by Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu and Wai-Lun Lo
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2899	The Impact of Occupancy Dynamics on Indoor CO₂ Forecasting: A Cross-Scenario Evaluation by Peio Garcia-Pinilla, Aranzazu Jurio, Maria Figols and Daniel Paternain
2828	GDP Forecasting with ARIMA, Hidden Markov Models, and an HMM–LSTM Hybrid: Evidence from Five Economies by Achilleas Tampouris and Chaido Dritsaki
2184	Hybrid Clustering for Retail Demand Forecasting: Combining Rule-Based and Machine Learning Methods by Jung-Hyuk Kim and Nam-Wook Cho
2153	Advances in Similar Day Methods for Short-Term Load Forecasting for Power Systems by Monica Borunda, Luis Conde-López, Gerardo Ruiz-Chavarría, Guadalupe Lopez Lopez, Victor M. Alvarado and Edgardo de Jesús Carrera Avendaño
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1484	Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview by Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
1452	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai

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2460	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
1628	Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps by László Vancsura, Tibor Tatay and Tibor Bareith
1249	The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand by Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri
1242	Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models by Bishal Poudel, Dewasis Dahal, Mandip Banjara and Ajay Kalra
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1175	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
1160	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
1077	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira
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967	Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning by Lyne Imene Souadda, Ahmed Rami Halitim, Billel Benilles, José Manuel Oliveira and Patrícia Ramos

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1249	The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand by Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri
1031	Demand Forecasting in the Automotive Industry: A Systematic Literature Review by Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates
796	Satellite Data and Artificial Intelligence for FINtech by Alberto Garinei, Massimiliano Proietti, Alessandro Vispa, Stefano Speziali, Giovanni Bartolini, Marcello Marconi, Emanuele Piccioni, Matteo Martini, Francesca Fallucchi, Romeo Giuliano, Ernesto William De Luca, Umberto Di Matteo and Valerio Lemma
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576	A New Loss Function for Enhancing Peak Prediction in Time Series Data with High Variability by Mahan Hajiabbasi Somehsaraie, Soheyla Tofighi, Zhaoan Wang, Jun Wang and Shaoping Xiao
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529	The Symmetric Mean Absolute Percentage Error: Unnecessary or Dangerous by Stephan Kolassa
469	Hybrid Clustering for Retail Demand Forecasting: Combining Rule-Based and Machine Learning Methods by Jung-Hyuk Kim and Nam-Wook Cho
436	The Impact of Occupancy Dynamics on Indoor CO₂ Forecasting: A Cross-Scenario Evaluation by Peio Garcia-Pinilla, Aranzazu Jurio, Maria Figols and Daniel Paternain
427	Assessing Historical and Simulating Future Land-Use and Land-Cover Change Through an Integrated Cellular Automata and Machine-Learning Framework in Urbanizing Areas by Roshan Sewa, Bibas Pokhrel, Bikash Subedi, Roshan Raj Karki, Bishal Poudel and Ajay Kalra
387	GDP Forecasting with ARIMA, Hidden Markov Models, and an HMM–LSTM Hybrid: Evidence from Five Economies by Achilleas Tampouris and Chaido Dritsaki
371	Advances in Similar Day Methods for Short-Term Load Forecasting for Power Systems by Monica Borunda, Luis Conde-López, Gerardo Ruiz-Chavarría, Guadalupe Lopez Lopez, Victor M. Alvarado and Edgardo de Jesús Carrera Avendaño
366	A Combined Kalman Filter–LSTM to Forecast Downside Risk of BWP/USD Returns: A Bottom-Up Hierarchical Approach by Katleho Makatjane and Diteboho Xaba
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325	Garbage In, Garbage Out? The Impact of Data Quality on the Performance of Financial Distress Prediction Models by Veronika Labosova, Lucia Duricova, Katarina Kramarova and Marek Durica

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8349	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
7914	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
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6097	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
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3916	Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production by Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol

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