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Internet of Things, Real-Time Decision Making, and Artificial Intelligence

Citations

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Cited by:

  1. Naudé, Wim, 2019. "The Race against the Robots and the Fallacy of the Giant Cheesecake: Immediate and Imagined Impacts of Artificial Intelligence," IZA Discussion Papers 12218, Institute of Labor Economics (IZA).
  2. Amal S. Hassan & Rana M. Mousa & Mahmoud H. Abu-Moussa, 2024. "Bayesian Analysis of Generalized Inverted Exponential Distribution Based on Generalized Progressive Hybrid Censoring Competing Risks Data," Annals of Data Science, Springer, vol. 11(4), pages 1225-1264, August.
  3. Mohamed Ibrahim & Khaoula Aidi & M. Masoom Ali & Haitham M. Yousof, 2023. "A Novel Test Statistic for Right Censored Validity under a new Chen extension with Applications in Reliability and Medicine," Annals of Data Science, Springer, vol. 10(5), pages 1285-1299, October.
  4. Jianwei Guo & Haitao Liu & Runjun Wan & Hui Sun, 2022. "Factorial Fuzzy Sets Theory," Annals of Data Science, Springer, vol. 9(3), pages 571-592, June.
  5. Deepesh Bhati & Buddepu Pavan & Girish Aradhye, 2024. "On a New Mixed Pareto–Weibull Distribution: Its Parametric Regression Model with an Insurance Applications," Annals of Data Science, Springer, vol. 11(6), pages 2077-2107, December.
  6. Mohammed S. Kotb & Haidy A. Newer & Marwa M. Mohie El-Din, 2024. "Bayesian Inference for the Entropy of the Rayleigh Model Based on Ordered Ranked Set Sampling," Annals of Data Science, Springer, vol. 11(4), pages 1435-1458, August.
  7. Hui Sun & Fanhui Zeng & Yang Yang, 2022. "Covert Factor’s Exploiting and Factor Planning," Annals of Data Science, Springer, vol. 9(3), pages 449-467, June.
  8. Hiba Z. Muhammed & Ehab M. Almetwally, 2023. "Bayesian and Non-Bayesian Estimation for the Bivariate Inverse Weibull Distribution Under Progressive Type-II Censoring," Annals of Data Science, Springer, vol. 10(2), pages 481-512, April.
  9. S. Chakraborty, 2023. "Monitoring COVID-19 Cases and Vaccination in Indian States and Union Territories Using Unsupervised Machine Learning Algorithm," Annals of Data Science, Springer, vol. 10(4), pages 967-989, August.
  10. Rafaella L. S. Nascimento & Roberta A. de A. Fagundes & Renata M. C. R. Souza, 2022. "Statistical Learning for Predicting School Dropout in Elementary Education: A Comparative Study," Annals of Data Science, Springer, vol. 9(4), pages 801-828, August.
  11. Xingsen Li & Junlin Zeng & Haitao Liu & Peizhuang Wang, 2022. "Intelligent Problem Solving Model and its Cross Research Directions Based on Factor Space and Extenics," Annals of Data Science, Springer, vol. 9(3), pages 469-484, June.
  12. Hare Krishna & Rajni Goel, 2024. "Inferences Based on Correlated Randomly Censored Gumbel’s Type-I Bivariate Exponential Distribution," Annals of Data Science, Springer, vol. 11(4), pages 1185-1207, August.
  13. Sankalp Loomba & Madhavi Dave & Harshal Arolkar & Sachin Sharma, 2024. "Sentiment Analysis using Dictionary-Based Lexicon Approach: Analysis on the Opinion of Indian Community for the Topic of Cryptocurrency," Annals of Data Science, Springer, vol. 11(6), pages 2019-2034, December.
  14. Durgesh Samariya & Amit Thakkar, 2023. "A Comprehensive Survey of Anomaly Detection Algorithms," Annals of Data Science, Springer, vol. 10(3), pages 829-850, June.
  15. Patrick Osatohanmwen & Eferhonore Efe-Eyefia & Francis O. Oyegue & Joseph E. Osemwenkhae & Sunday M. Ogbonmwan & Benson A. Afere, 2022. "The Exponentiated Gumbel–Weibull {Logistic} Distribution with Application to Nigeria’s COVID-19 Infections Data," Annals of Data Science, Springer, vol. 9(5), pages 909-943, October.
  16. Huanyu Ma & Yan Xu & Yulong Liu, 2022. "Prediction of Listed Company Growth in Non-public Economy," Annals of Data Science, Springer, vol. 9(4), pages 847-861, August.
  17. Yuancheng Si & Saralees Nadarajah, 2023. "A Statistical Analysis of Chinese Stock Indices Returns From Approach of Parametric Distributions Fitting," Annals of Data Science, Springer, vol. 10(1), pages 73-88, February.
  18. Prashant Singh & Prashant Verma & Nikhil Singh, 2022. "Offline Signature Verification: An Application of GLCM Features in Machine Learning," Annals of Data Science, Springer, vol. 9(6), pages 1309-1321, December.
  19. Preeti Verma & Sunil Patil, 2023. "Machine Learning for Cloud Cover Detection Using Multispectral Satellite Images," Annals of Data Science, Springer, vol. 10(6), pages 1543-1557, December.
  20. Nikhil J. Rathod & Manoj K. Chopra & Prem Kumar Chaurasiya & Umesh S. Vidhate & Abhishek Dasore, 2023. "Optimization on the Turning Process Parameters of SS 304 Using Taguchi and TOPSIS," Annals of Data Science, Springer, vol. 10(5), pages 1405-1419, October.
  21. Aidin Zehtab-Salmasi & Ali-Reza Feizi-Derakhshi & Narjes Nikzad-Khasmakhi & Meysam Asgari-Chenaghlu & Saeideh Nabipour, 2023. "Multimodal Price Prediction," Annals of Data Science, Springer, vol. 10(3), pages 619-635, June.
  22. Guangrui Tang & Neng Fan, 2022. "A Survey of Solution Path Algorithms for Regression and Classification Models," Annals of Data Science, Springer, vol. 9(4), pages 749-789, August.
  23. Pejman Gholami-Dastgerdi & Mohammad-Reza Feizi-Derakhshi, 2023. "Part of Speech Tagging Using Part of Speech Sequence Graph," Annals of Data Science, Springer, vol. 10(5), pages 1301-1328, October.
  24. Indrajeet Kumar & Shishir Kumar Jha & Kapil Kumar, 2023. "On Some Estimation Methods for the Inverse Pareto Distribution," Annals of Data Science, Springer, vol. 10(4), pages 1035-1068, August.
  25. Muhammad Tahir & Sufyan Ali & Ayesha Sohail & Ying Zhang & Xiaohua Jin, 2024. "Unlocking Online Insights: LSTM Exploration and Transfer Learning Prospects," Annals of Data Science, Springer, vol. 11(4), pages 1421-1434, August.
  26. Manoj Verma & Harish Kumar Ghritlahre, 2023. "Forecasting of Wind Speed by Using Three Different Techniques of Prediction Models," Annals of Data Science, Springer, vol. 10(3), pages 679-711, June.
  27. Terence D. Agbeyegbe, 2023. "The Link Between Output Growth and Output Growth Volatility: Barbados," Annals of Data Science, Springer, vol. 10(3), pages 787-804, June.
  28. Petar Radanliev & David Roure & Rob Walton & Max Kleek & Omar Santos & La’Treall Maddox, 2022. "What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?," Annals of Data Science, Springer, vol. 9(5), pages 1049-1067, October.
  29. Linda Joel & S. Parthasarathy & P. Venkatesan & S. Nandhini, 2024. "IPH2O: Island Parallel-Harris Hawks Optimizer-Based CLSTM for Stock Price Movement Prediction," Annals of Data Science, Springer, vol. 11(6), pages 1959-1974, December.
  30. Zahra Pourahmadi & Dariush Fareed & Hamid Reza Mirzaei, 2024. "A Novel Stock Trading Model based on Reinforcement Learning and Technical Analysis," Annals of Data Science, Springer, vol. 11(5), pages 1653-1674, October.
  31. Bo Li & Guangle Du, 2024. "Reaction Function for Financial Market Reacting to Events or Information," Annals of Data Science, Springer, vol. 11(4), pages 1265-1290, August.
  32. Kousik Maiti & Suchandan Kayal & Aditi Kar Gangopadhyay, 2024. "On Progressively Censored Generalized X-Exponential Distribution: (Non) Bayesian Estimation with an Application to Bladder Cancer Data," Annals of Data Science, Springer, vol. 11(5), pages 1761-1798, October.
  33. O. E. Abo-Kasem & Ehab M. Almetwally & Wael S. Abu El Azm, 2023. "Inferential Survival Analysis for Inverted NH Distribution Under Adaptive Progressive Hybrid Censoring with Application of Transformer Insulation," Annals of Data Science, Springer, vol. 10(5), pages 1237-1284, October.
  34. Deeksha Chandola & Akshit Mehta & Shikha Singh & Vinay Anand Tikkiwal & Himanshu Agrawal, 2023. "Forecasting Directional Movement of Stock Prices using Deep Learning," Annals of Data Science, Springer, vol. 10(5), pages 1361-1378, October.
  35. Preeti Verma & Sunil Patil, 2023. "A Machine Learning Approach and Methodology for Solar Radiation Assessment Using Multispectral Satellite Images," Annals of Data Science, Springer, vol. 10(4), pages 907-932, August.
  36. Harshita Kumawat & Kanak Modi & Pankaj Nagar, 2024. "Modi-Weibull Distribution: Inferential and Simulation Study," Annals of Data Science, Springer, vol. 11(6), pages 1975-1999, December.
  37. Ankan Dash & Junyi Ye & Guiling Wang & Huiran Jin, 2024. "High Resolution Solar Image Generation Using Generative Adversarial Networks," Annals of Data Science, Springer, vol. 11(5), pages 1545-1561, October.
  38. Rijwan Khan, 2023. "Deep Learning System and It’s Automatic Testing: An Approach," Annals of Data Science, Springer, vol. 10(4), pages 1019-1033, August.
  39. Elphas Okango & Henry Mwambi, 2022. "Dictionary Based Global Twitter Sentiment Analysis of Coronavirus (COVID-19) Effects and Response," Annals of Data Science, Springer, vol. 9(1), pages 175-186, February.
  40. Md. Karimuzzaman & Nusrat Islam & Sabrina Afroz & Md. Moyazzem Hossain, 2021. "Predicting Stock Market Price of Bangladesh: A Comparative Study of Linear Classification Models," Annals of Data Science, Springer, vol. 8(1), pages 21-38, March.
  41. Roberto Moro-Visconti & Salvador Cruz Rambaud & Joaquín López Pascual, 2023. "Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
  42. Majid Hashempour & Morad Alizadeh & Haitham M. Yousof, 2024. "A New Lindley Extension: Estimation, Risk Assessment and Analysis Under Bimodal Right Skewed Precipitation Data," Annals of Data Science, Springer, vol. 11(6), pages 1919-1958, December.
  43. Anda Tang & Pei Quan & Lingfeng Niu & Yong Shi, 2022. "A Survey for Sparse Regularization Based Compression Methods," Annals of Data Science, Springer, vol. 9(4), pages 695-722, August.
  44. Firuz Kamalov & Fadi Thabtah & Ho Hon Leung, 2023. "Feature Selection in Imbalanced Data," Annals of Data Science, Springer, vol. 10(6), pages 1527-1541, December.
  45. Tiejun Cui & Peizhuang Wang & Shasha Li, 2022. "Research on Uncertainty of System Function State from Factors-Data-Cognition," Annals of Data Science, Springer, vol. 9(3), pages 593-609, June.
  46. Tarakashar Das & Sabrina Mobassirin & Syed Md. Minhaz Hossain & Aka Das & Anik Sen & Khaleque Md. Aashiq Kamal & Kaushik Deb, 2024. "Patient Questionnaires Based Parkinson’s Disease Classification Using Artificial Neural Network," Annals of Data Science, Springer, vol. 11(5), pages 1821-1864, October.
  47. Vali Borimnejad & Sahar Dehyouri, 2022. "Content Analysis of the Economic Problems of Covid-19 Disease on Businesses: A Case Study of Tehran Province, Iran," Annals of Data Science, Springer, vol. 9(5), pages 1069-1083, October.
  48. Satya Kumar Das, 2022. "A Fuzzy Multi Objective Inventory Model with Production Cost and Set-up-Cost Dependent on Population," Annals of Data Science, Springer, vol. 9(3), pages 627-643, June.
  49. Reetika Sarkar & Sithija Manage & Xiaoli Gao, 2024. "Stable Variable Selection for High-Dimensional Genomic Data with Strong Correlations," Annals of Data Science, Springer, vol. 11(4), pages 1139-1164, August.
  50. Showkat Ahmad Lone & Intekhab Alam & Ahmadur Rahman, 2023. "Statistical Analysis Under Geometric Process in Accelerated Life Testing Plans for Generalized Exponential Distribution," Annals of Data Science, Springer, vol. 10(6), pages 1653-1665, December.
  51. Yurong Ding & Yingjie Tian, 2024. "Research on Pricing of Data Based on Bi-level Programming Model," Annals of Data Science, Springer, vol. 11(4), pages 1391-1419, August.
  52. Binxiang Jiang, 2022. "Research on Factor Space Engineering and Application of Evidence Factor Mining in Evidence-based Reconstruction," Annals of Data Science, Springer, vol. 9(3), pages 503-537, June.
  53. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  54. Clemens Tegetmeier & Arne Johannssen & Nataliya Chukhrova, 2024. "Artificial Intelligence Algorithms for Collaborative Book Recommender Systems," Annals of Data Science, Springer, vol. 11(5), pages 1705-1739, October.
  55. Xiangfu Meng & Jing Wen & Jiasheng Shi & Zihan Li & Jinxia Zhu & Peizhuang Wang, 2022. "Factor Query Language (FQL): A Fundamental Language for the Next Generation of Intelligent Database," Annals of Data Science, Springer, vol. 9(3), pages 539-554, June.
  56. Desmond Chekwube Bartholomew & Chrysogonus Chinagorom Nwaigwe & Ukamaka Cynthia Orumie & Godwin Onyeka Nwafor, 2024. "Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series," Annals of Data Science, Springer, vol. 11(5), pages 1609-1634, October.
  57. Arhan Sheth & Tulasi Sushra & Ameya Kshirsagar & Manan Shah, 2022. "Global Economic Impact in Stock and Commodity Markets during Covid-19 pandemic," Annals of Data Science, Springer, vol. 9(5), pages 889-907, October.
  58. Tapan Kumar Chakrabarty & Dreamlee Sharma, 2021. "A Generalization of the Quantile-Based Flattened Logistic Distribution," Annals of Data Science, Springer, vol. 8(3), pages 603-627, September.
  59. Akshit Kurani & Pavan Doshi & Aarya Vakharia & Manan Shah, 2023. "A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting," Annals of Data Science, Springer, vol. 10(1), pages 183-208, February.
  60. Vaishali Chaurasia & Ajay Gupta & Ratna Patel & Shekhar Chauhan & Nitesh Kumar Adichwal & Sachin Kamble, 2022. "Self-care, Household Cleaning and Disinfection During COVID-19 Pandemic: A Study from Metropolitan Cities of India," Annals of Data Science, Springer, vol. 9(5), pages 1085-1101, October.
  61. Yanke Bao & Ying Wang, 2022. "Factor Space: The New Science of Causal Relationship," Annals of Data Science, Springer, vol. 9(3), pages 555-570, June.
  62. Ali Najafi & Araz Gholipour-Shilabin & Rahim Dehkharghani & Ali Mohammadpur-Fard & Meysam Asgari-Chenaghlu, 2023. "ComStreamClust: a Communicative Multi-Agent Approach to Text Clustering in Streaming Data," Annals of Data Science, Springer, vol. 10(6), pages 1583-1605, December.
  63. Anjan Mukherjee & Abhik Mukherjee, 2022. "Interval-Valued Intuitionistic Fuzzy Soft Rough Approximation Operators and Their Applications in Decision Making Problem," Annals of Data Science, Springer, vol. 9(3), pages 611-625, June.
  64. Dipak D. Patil & U. V. Naik-Nimbalkar & M. M. Kale, 2024. "Estimation of $$ P[Y," Annals of Data Science, Springer, vol. 11(4), pages 1303-1340, August.
  65. Siying Guo & Jianxuan Liu & Qiu Wang, 2022. "Effective Learning During COVID-19: Multilevel Covariates Matching and Propensity Score Matching," Annals of Data Science, Springer, vol. 9(5), pages 967-982, October.
  66. Chong Guan & Wenting Liu & Jack Yu-Chao Cheng, 2022. "Using Social Media to Predict the Stock Market Crash and Rebound amid the Pandemic: The Digital ‘Haves’ and ‘Have-mores’," Annals of Data Science, Springer, vol. 9(1), pages 5-31, February.
  67. Yundong Gu & Dongfen Ma & Jiawei Cui & Zhenhua Li & Yaqi Chen, 2022. "Variable-Weighted Ensemble Forecasting of Short-Term Power Load Based on Factor Space Theory," Annals of Data Science, Springer, vol. 9(3), pages 485-501, June.
  68. Elton G. Aráujo & Julio C. S. Vasconcelos & Denize P. Santos & Edwin M. M. Ortega & Dalton Souza & João P. F. Zanetoni, 2023. "The Zero-Inflated Negative Binomial Semiparametric Regression Model: Application to Number of Failing Grades Data," Annals of Data Science, Springer, vol. 10(4), pages 991-1006, August.
  69. Manoj Verma & Harish Kumar Ghritlahre & Ghrithanchi Chandrakar, 2023. "Wind Speed Prediction of Central Region of Chhattisgarh (India) Using Artificial Neural Network and Multiple Linear Regression Technique: A Comparative Study," Annals of Data Science, Springer, vol. 10(4), pages 851-873, August.
  70. Mansoureh Beheshti Nejad & Seyed Mahmoud Zanjirchi & Seyed Mojtaba Hosseini Bamakan & Negar Jalilian, 2024. "Blockchain Adoption in Operations Management: A Systematic Literature Review of 14 Years of Research," Annals of Data Science, Springer, vol. 11(4), pages 1361-1389, August.
  71. Manoj Verma & Harish Kumar Ghritlahre & Surendra Bajpai, 2023. "A Case Study of Optimization of a Solar Power Plant Sizing and Placement in Madhya Pradesh, India Using Multi-Objective Genetic Algorithm," Annals of Data Science, Springer, vol. 10(4), pages 933-966, August.
  72. Shah Hussain & Muhammad Qasim Khan, 2023. "Student-Performulator: Predicting Students’ Academic Performance at Secondary and Intermediate Level Using Machine Learning," Annals of Data Science, Springer, vol. 10(3), pages 637-655, June.
  73. Sricharan Shah & Partha Jyoti Hazarika & Subrata Chakraborty & M. Masoom Ali, 2023. "A Generalized-Alpha–Beta-Skew Normal Distribution with Applications," Annals of Data Science, Springer, vol. 10(4), pages 1127-1155, August.
  74. R. Santhosh Kumar & N. Prakash, 2024. "Prediction of Various Job Opportunities in IT Companies Using Enhanced Integrated Gated Recurrent Unit (EIGRU)," Annals of Data Science, Springer, vol. 11(6), pages 2001-2018, December.
  75. Ayesha Sohail, 2023. "Genetic Algorithms in the Fields of Artificial Intelligence and Data Sciences," Annals of Data Science, Springer, vol. 10(4), pages 1007-1018, August.
  76. Shayan Frouzanfar & Maryam Omidi Najafabadi & Seyed Mehdi Mirdamadi, 2024. "Statistical Modelling for Pandemic Crisis Management in Universities," Annals of Data Science, Springer, vol. 11(4), pages 1459-1481, August.
  77. Ehab M. Almetwally, 2022. "The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data," Annals of Data Science, Springer, vol. 9(1), pages 121-140, February.
  78. Tousifur Rahman & Partha Jyoti Hazarika & M. Masoom Ali & Manash Pratim Barman, 2022. "Three-Inflated Poisson Distribution and its Application in Suicide Cases of India During Covid-19 Pandemic," Annals of Data Science, Springer, vol. 9(5), pages 1103-1127, October.
  79. Fábio Prataviera & Aline Martineli Batista & Edwin M. M. Ortega & Gauss M. Cordeiro & Bruno Montoani Silva, 2023. "The Logit Exponentiated Power Exponential Regression with Applications," Annals of Data Science, Springer, vol. 10(3), pages 713-735, June.
  80. Shubham Gupta & Gajendra K. Vishwakarma & A. M. Elsawah, 2024. "Shrinkage Estimation for Location and Scale Parameters of Logistic Distribution Under Record Values," Annals of Data Science, Springer, vol. 11(4), pages 1209-1224, August.
  81. Devendra Pratap Singh & Mayank Kumar Jha & Yogesh Mani Tripathi & Liang Wang, 2023. "Inference on a Multicomponent Stress-Strength Model Based on Unit-Burr III Distributions," Annals of Data Science, Springer, vol. 10(5), pages 1329-1359, October.
  82. Md. Zubair & MD. Asif Iqbal & Avijeet Shil & M. J. M. Chowdhury & Mohammad Ali Moni & Iqbal H. Sarker, 2024. "An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling," Annals of Data Science, Springer, vol. 11(5), pages 1525-1544, October.
  83. Prarthi Thakkar & Darshil Patel & Isha Hirpara & Jinesh Jagani & Smit Patel & Manan Shah & Ameya Kshirsagar, 2023. "A Comprehensive Review on Computer Vision and Fuzzy Logic in Forensic Science Application," Annals of Data Science, Springer, vol. 10(3), pages 761-785, June.
  84. Amaal Elsayed Mubarak & Ehab Mohamed Almetwally, 2024. "Modelling and Forecasting of Covid-19 Using Periodical ARIMA Models," Annals of Data Science, Springer, vol. 11(4), pages 1483-1502, August.
  85. Liang Xu, 2021. "Application of wearable devices in 6G internet of things communication environment using artificial intelligence," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 741-747, August.
  86. Anurag Pathak & Manoj Kumar & Sanjay Kumar Singh & Umesh Singh, 2022. "Statistical Inferences: Based on Exponentiated Exponential Model to Assess Novel Corona Virus (COVID-19) Kerala Patient Data," Annals of Data Science, Springer, vol. 9(1), pages 101-119, February.
  87. Weijia Xu & Aihua Li & Lu Wei, 2022. "The Impact of COVID-19 on China’s Capital Market and Major Industry Sectors," Annals of Data Science, Springer, vol. 9(5), pages 983-1007, October.
  88. Mahabuba Akhter & Syed Md. Minhaz Hossain & Rizma Sijana Nigar & Srabanti Paul & Khaleque Md. Aashiq Kamal & Anik Sen & Iqbal H. Sarker, 2024. "COVID-19 Fake News Detection using Deep Learning Model," Annals of Data Science, Springer, vol. 11(6), pages 2167-2198, December.
  89. Sanjay Kumar & Priyanka Chhaparwal, 2024. "Utilization of Priori Information in the Estimation of Population Mean for Time-Based Surveys," Annals of Data Science, Springer, vol. 11(5), pages 1675-1685, October.
  90. A. R. Sherwani & Q. M. Ali, 2023. "Parametric Classification using Fuzzy Approach for Handling the Problem of Mixed Pixels in Ground Truth Data for a Satellite Image," Annals of Data Science, Springer, vol. 10(6), pages 1459-1472, December.
  91. Sakib A. Mondal & Prashanth Rv & Sagar Rao & Arun Menon, 2024. "LADDERS: Log Based Anomaly Detection and Diagnosis for Enterprise Systems," Annals of Data Science, Springer, vol. 11(4), pages 1165-1183, August.
  92. Muhammad Ahsan-ul-Haq & Mukhtar Ahmed & Javeria Zafar & Pedro Luiz Ramos, 2022. "Modeling of COVID-19 Cases in Pakistan Using Lifetime Probability Distributions," Annals of Data Science, Springer, vol. 9(1), pages 141-152, February.
  93. Hui Zheng & Peng LI & Jing HE, 2022. "A Novel Association Rule Mining Method for Streaming Temporal Data," Annals of Data Science, Springer, vol. 9(4), pages 863-883, August.
  94. M. Sridharan, 2023. "Generalized Regression Neural Network Model Based Estimation of Global Solar Energy Using Meteorological Parameters," Annals of Data Science, Springer, vol. 10(4), pages 1107-1125, August.
  95. Devendra Kumar & M. Nassar & Sanku Dey, 2023. "Progressive Type-II Censored Data and Associated Inference with Application Based on Li–Li Rayleigh Distribution," Annals of Data Science, Springer, vol. 10(1), pages 43-71, February.
  96. Junjie Hou & Yuqi Zhang & Duo Su, 2024. "Unified Image Harmonization with Region Augmented Attention Normalization," Annals of Data Science, Springer, vol. 11(5), pages 1865-1886, October.
  97. Jun Li & Chong Xie & Sizheng Wu & Yawei Ren, 2024. "UAV-YOLOv5: A Swin-Transformer-Enabled Small Object Detection Model for Long-Range UAV Images," Annals of Data Science, Springer, vol. 11(4), pages 1109-1138, August.
  98. Vrushabh Gada & Madhura Shegaonkar & Madhura Inamdar & Sharath Dinesh & Darshan Sapariya & Vedant Konde & Mahesh Warang & Ninad Mehendale, 2022. "Data Analysis of COVID-19 Hospital Records Using Contextual Patient Classification System," Annals of Data Science, Springer, vol. 9(5), pages 945-965, October.
  99. Bimal Shil & Prasenjit Sinha & Binod Chandra Tripathy & Suman Das, 2023. "VNS Based MADM-Strategy Under Possibility Environment," Annals of Data Science, Springer, vol. 10(6), pages 1571-1582, December.
  100. Sanku Dey & Emrah Altun & Devendra Kumar & Indranil Ghosh, 2023. "The Reflected-Shifted-Truncated Lomax Distribution: Associated Inference with Applications," Annals of Data Science, Springer, vol. 10(3), pages 805-828, June.
  101. Muhammed Navas Thorakkattle & Shazia Farhin & Athar Ali khan, 2022. "Forecasting the Trends of Covid-19 and Causal Impact of Vaccines Using Bayesian Structural time Series and ARIMA," Annals of Data Science, Springer, vol. 9(5), pages 1025-1047, October.
  102. Mohanan Monisha & Damodaran Santhamani Shibu, 2024. "On Discrete Mixture of Moment Exponential Using Lagrangian Probability Model: Properties and Applications in Count Data with Excess Zeros," Annals of Data Science, Springer, vol. 11(6), pages 2035-2057, December.
  103. R. Maya & Jie Huang & M. R. Irshad & Fukang Zhu, 2024. "On Poisson Moment Exponential Distribution with Associated Regression and INAR(1) Process," Annals of Data Science, Springer, vol. 11(5), pages 1741-1759, October.
  104. Hiba Zeyada Muhammed, 2023. "A Class of Bivariate Modified Weighted Distributions: Properties and Applications," Annals of Data Science, Springer, vol. 10(4), pages 875-906, August.
  105. Mohamed Ibrahim & M. Masoom Ali & Haitham M. Yousof, 2023. "The Discrete Analogue of the Weibull G Family: Properties, Different Applications, Bayesian and Non-Bayesian Estimation Methods," Annals of Data Science, Springer, vol. 10(4), pages 1069-1106, August.
  106. Paula Ianishi & Oilson Alberto Gonzatto Junior & Marcos Jardel Henriques & Diego Carvalho do Nascimento & Gabriel Kamada Mattar & Pedro Luiz Ramos & Anderson Ara & Francisco Louzada, 2022. "Probability on Graphical Structure: A Knowledge-Based Agricultural Case," Annals of Data Science, Springer, vol. 9(2), pages 327-345, April.
  107. N. J. Rathod & M. K. Chopra & Prem Kumar Chaurasiya & U. S. Vidhate, 2023. "Optimization of Tool Life, Surface Roughness and Production Time in CNC Turning Process Using Taguchi Method and ANOVA," Annals of Data Science, Springer, vol. 10(5), pages 1179-1197, October.
  108. Dina A. Ramadan & Ehab M. Almetwally & Ahlam H. Tolba, 2023. "Statistical Inference to the Parameter of the Akshaya Distribution under Competing Risks Data with Application HIV Infection to AIDS," Annals of Data Science, Springer, vol. 10(6), pages 1499-1525, December.
  109. Shrawan Kumar & Kavita Gupta & Manya Gupta, 2024. "Naïve Bayes Classifier Model for Detecting Spam Mails," Annals of Data Science, Springer, vol. 11(6), pages 1887-1897, December.
  110. V. Auxilia Osvin Nancy & P. Prabhavathy & Meenakshi S. Arya, 2024. "Role of Artificial Intelligence and Deep Learning in Skin Disease Prediction: A Systematic Review and Meta-analysis," Annals of Data Science, Springer, vol. 11(6), pages 2109-2139, December.
  111. Yanfen Zhang & Jinyao Ma & Haibin Zhang & Bin Yue, 2023. "Platform Resource Scheduling Method Based on Branch-and-Bound and Genetic Algorithm," Annals of Data Science, Springer, vol. 10(5), pages 1421-1445, October.
  112. Varun Agiwal, 2023. "Bayesian Estimation of Stress Strength Reliability from Inverse Chen Distribution with Application on Failure Time Data," Annals of Data Science, Springer, vol. 10(2), pages 317-347, April.
  113. Heba Soltan Mohamed & M. Masoom Ali & Haitham M. Yousof, 2023. "The Lindley Gompertz Model for Estimating the Survival Rates: Properties and Applications in Insurance," Annals of Data Science, Springer, vol. 10(5), pages 1199-1216, October.
  114. Rakhal Das & Anjan Mukherjee & Binod Chandra Tripathy, 2022. "Application of Neutrosophic Similarity Measures in Covid-19," Annals of Data Science, Springer, vol. 9(1), pages 55-70, February.
  115. Xueyan Xu & Fusheng Yu & Runjun Wan, 2023. "A Determining Degree-Based Method for Classification Problems with Interval-Valued Attributes," Annals of Data Science, Springer, vol. 10(2), pages 393-413, April.
  116. Nafiseh Khojastehbakht & Amirhossein Ghatari & Ehsan Bahrami Samani, 2023. "The Beta Exponential Power Series Distribution," Annals of Data Science, Springer, vol. 10(5), pages 1157-1178, October.
  117. Mahendra Saha & Harsh Tripathi & Anju Devi & Pratibha Pareek, 2024. "Applications of Reliability Test Plan for Logistic Rayleigh Distributed Quality Characteristic," Annals of Data Science, Springer, vol. 11(5), pages 1687-1703, October.
  118. Md. Rezaul Karim & Sefat-E-Barket, 2024. "Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh," Annals of Data Science, Springer, vol. 11(5), pages 1581-1607, October.
  119. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
  120. Mustapha Muhammad & Lixia Liu & Badamasi Abba & Isyaku Muhammad & Mouna Bouchane & Hexin Zhang & Sani Musa, 2023. "A New Extension of the Topp–Leone-Family of Models with Applications to Real Data," Annals of Data Science, Springer, vol. 10(1), pages 225-250, February.
  121. Intekhab Alam & Sadia Anwar & Lalit Kumar Sharma & Aquil Ahmed, 2023. "Competing Risk Analysis in Constant Stress Partially Accelerated Life Tests Under Censored Information," Annals of Data Science, Springer, vol. 10(5), pages 1379-1403, October.
  122. Parul Agarwal & Anita Sahoo & Divyanshi Garg, 2024. "An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction," Annals of Data Science, Springer, vol. 11(6), pages 2217-2233, December.
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