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Citations	Article
42	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
36	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
35	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
35	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
34	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
26	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman
25	Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil by Florin Aliu, Jiří Kučera and Simona Hašková
24	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
22	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
22	Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies by Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva

Citations	Article
35	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
22	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
12	Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins by Apostolos Ampountolas
10	A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
10	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
9	A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event by Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou
8	Forecasting Thailand’s Transportation CO₂ Emissions: A Comparison among Artificial Intelligent Models by Thananya Janhuaton, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao
7	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
6	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
6	Predictive Maintenance Framework for Fault Detection in Remote Terminal Units by Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou

Citations	Article
8	Forecasting Thailand’s Transportation CO₂ Emissions: A Comparison among Artificial Intelligent Models by Thananya Janhuaton, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao
4	Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model by Abubaker Younis, Fatima Belabbes, Petru Adrian Cotfas and Daniel Tudor Cotfas
4	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
4	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
4	Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions by Fhulufhelo Walter Mugware, Caston Sigauke and Thakhani Ravele
4	Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka and Patchanok Srisuradetchai
3	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
3	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
3	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
2	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic

Citations	Article
2	Constructing Cybersecurity Stocks Portfolio Using AI by Avishay Aiche, Zvi Winer and Gil Cohen
1	Synergy of Modern Analytics and Innovative Managerial Decision-Making in the Turbulent and Uncertain New Normal by Maria Kovacova, Eva Kalinova, Pavol Durana and Katarina Frajtova Michalikova
1	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
1	White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting by Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova
1	Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu and Julian Wang
1	Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches by Rose Ellen Macabiog and Jennifer Dela Cruz
1	Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O₃) Prediction in Johannesburg, South Africa by Israel Edem Agbehadji and Ibidun Christiana Obagbuwa

Citations	Article
129	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
54	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
52	Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique by Ismail Shah, Hasnain Iftikhar and Sajid Ali
49	Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models by Apostolos Ampountolas
45	Corporate Foresight and Dynamic Capabilities: An Exploratory Study by Lisa-Marie Semke and Victor Tiberius
43	Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images by Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris
43	Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks by Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
42	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
40	Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India by Alen Shrestha, Md Mafuzur Rahaman, Ajay Kalra, Rohit Jogineedi and Pankaj Maheshwari
40	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

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32007	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
23100	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
21918	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
21230	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
20001	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
17061	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
13519	Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil by Florin Aliu, Jiří Kučera and Simona Hašková
10818	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
9848	A Coordinated Analysis of Physical Reactivity to Daily Stressors: Age and Proactive Coping Matter by Shevaun D. Neupert, Emily L. Smith and Margaret L. Schriefer
9233	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen

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21918	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
20001	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
10818	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
8118	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
8034	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
6875	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
6717	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
6388	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
5910	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
5732	A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie

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21918	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
10818	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
6717	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
4596	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
3751	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
3665	Machine Learning-Enhanced Pairs Trading by Eli Hadad, Sohail Hodarkar, Beakal Lemeneh and Dennis Shasha
3241	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira
2915	Forecasting Convective Storms Trajectory and Intensity by Neural Networks by Niccolò Borghi, Giorgio Guariso and Matteo Sangiorgio
2805	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
2550	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

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3241	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira
2138	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
1568	Forecasting Raw Material Yield in the Tanning Industry: A Machine Learning Approach by Ismael Cristofer Baierle, Leandro Haupt, João Carlos Furtado, Eluza Toledo Pinheiro and Miguel Afonso Sellitto
1550	Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting by Phumudzo Lloyd Seabe, Edson Pindza, Claude Rodrigue Bambe Moutsinga and Maggie Aphane
1522	White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting by Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova
1426	Constructing Cybersecurity Stocks Portfolio Using AI by Avishay Aiche, Zvi Winer and Gil Cohen
1381	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
1373	The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions by Manuel Muth
1362	Synergy of Modern Analytics and Innovative Managerial Decision-Making in the Turbulent and Uncertain New Normal by Maria Kovacova, Eva Kalinova, Pavol Durana and Katarina Frajtova Michalikova
1268	Projecting Climate Change Impacts on Channel Depletion in the Sacramento–San Joaquin Delta of California in the 21st Century by Sohrab Salehi, Seyed Ali Akbar Salehi Neyshabouri, Andrew Schwarz and Minxue He

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32007	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
23100	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
22253	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
21918	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
21230	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
20001	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
17061	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
16568	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
16509	An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases by Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke
13519	Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil by Florin Aliu, Jiří Kučera and Simona Hašková

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5191	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
4354	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
4305	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
2753	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
2625	Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion by Pieter Cawood and Terence Van Zyl
2499	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
2355	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
2118	Precision and Reliability of Forecasts Performance Metrics by Philippe St-Aubin and Bruno Agard
2004	Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling by Abhiru Aryal, Albira Acharya and Ajay Kalra
1944	Has EU Accession Boosted Patent Performance in the EU-13? A Critical Evaluation Using Causal Impact Analysis with Bayesian Structural Time-Series Models by Agnieszka Kleszcz and Krzysztof Rusek

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2499	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
1472	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
1291	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
1075	A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
979	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
977	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
963	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
927	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
911	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
898	Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins by Apostolos Ampountolas

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1291	Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions by Hamid Ahaggach, Lylia Abrouk and Eric Lebon
856	Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal and Debashish Kar
853	Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions by David L. John, Sebastian Binnewies and Bela Stantic
721	Predicting Power Consumption Using Deep Learning with Stationary Wavelet by Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel
708	Machine Learning-Enhanced Pairs Trading by Eli Hadad, Sohail Hodarkar, Beakal Lemeneh and Dennis Shasha
693	Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane and Daniel Maposa
686	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
638	A Markov Switching Autoregressive Model with Time-Varying Parameters by Syarifah Inayati, Nur Iriawan and Irhamah
584	Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson
563	Modeling CO₂ Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model by Chaiyan Junsiri, Pruethsan Sutthichaimethee and Nathaporn Phong-a-ran

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501	Projecting Climate Change Impacts on Channel Depletion in the Sacramento–San Joaquin Delta of California in the 21st Century by Sohrab Salehi, Seyed Ali Akbar Salehi Neyshabouri, Andrew Schwarz and Minxue He
496	Is Football Unpredictable? Predicting Matches Using Neural Networks by Luiz E. Luiz, Gabriel Fialho and João P. Teixeira
490	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
402	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
360	Constructing Cybersecurity Stocks Portfolio Using AI by Avishay Aiche, Zvi Winer and Gil Cohen
355	Forecasting Raw Material Yield in the Tanning Industry: A Machine Learning Approach by Ismael Cristofer Baierle, Leandro Haupt, João Carlos Furtado, Eluza Toledo Pinheiro and Miguel Afonso Sellitto
346	Forecasting Hydropower with Innovation Diffusion Models: A Cross-Country Analysis by Farooq Ahmad, Livio Finos and Mariangela Guidolin
308	Synergy of Modern Analytics and Innovative Managerial Decision-Making in the Turbulent and Uncertain New Normal by Maria Kovacova, Eva Kalinova, Pavol Durana and Katarina Frajtova Michalikova
296	White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting by Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova
282	Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha and Pius A. Owolawi

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7659	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
7533	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
5191	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
4741	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
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4354	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
4305	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
3643	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
3554	Valuation Models Applied to Value-Based Management—Application to the Case of UK Companies with Problems by Marcel Ausloos
3237	An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases by Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke

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