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ORCIDWIREs Data Mining and Knowledge Discovery, Volume 14
Volume 14, Number 1, January/February 2024
Systematic Review
- Sepehr Ghazinoory, Jinus Roshandel, Fatemeh Parvin
, Shohreh Nasri, Mehdi Fatemi:
Smart city maturity models: A multidimensional synthesized approach.
Advanced Review
- Jameel Ahmad, Muhammad Umer Zia, Ijaz Haider Naqvi, Jawwad Nasar Chattha, Faran Awais Butt, Tao Huang, Wei Xiang:
Machine learning and blockchain technologies for cybersecurity in connected vehicles.
Focus Article
- Nuno Guimarães, Ricardo Campos, Alípio Jorge:
Pre-trained language models: What do they know?
Advanced Review
- Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Binti Ibrahim:
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022.
Overviews
- Wai Sze Yip, Hengzhou Edward Yan, Baolong Zhang, Suet To:
The state-of-art review of ultra-precision machining using text mining: Identification of main themes and recommendations for the future direction. - Mohamed Abd Elaziz, Mohammed Abdulaziz Aide Al-qaness, Abdelghani Dahou, Saeed Hamood Alsamhi, Laith Abualigah, Rehab Ali Ibrahim, Ahmed A. Ewees:
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology.
Volume 14, Number 2, March/April 2024
Advanced Reviews
- Bruno Iochins Grisci, Bruno César Feltes, Joice De Faria Poloni, Pedro Henrique Narloch, Márcio Dorn:
The use of gene expression datasets in feature selection research: 20 years of inherent bias? - Arash Heidari, Nima Jafari Navimipour, Hasan Dag, Mehmet Unal:
Deepfake detection using deep learning methods: A systematic and comprehensive review. - Sin Liang Lim, Jaya Sreevalsan-Nair, B. S. Daya Sagar:
Multispectral data mining: A focus on remote sensing satellite images. - Oualid Ouarem, Farid Nouioua, Philippe Fournier-Viger:
A survey of episode mining.
Focus Article
- Shixun Ma, Li Li, Dengfeng Lv, Xiaojun Yang, He Su, Leisheng Zhang, Min Zhang, Yuntao Ma, Tiankang Guo, Hui Cai:
Establishment and implementation of a clinical application and research database for surgical robots in China.
Systematic Review
- Muhammad Abulaish, Nesar Ahmad Wasi, Shachi Sharma:
The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis.
Volume 14, Number 3, 2024
- Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru San Tan, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023). - Chelsey Hill, Lanqing Du, Marina Johnson, B. D. McCullough:
Comparing programming languages for data analytics: Accuracy of estimation in Python and R. - C. L. V. Sivakumar, Varda Mone, Rakhmanov Abdumukhtor:
Addressing privacy concerns with wearable health monitoring technology. - Carlos Lara-Alvarez, Juan J. Flores, Héctor Rodríguez Rangel, Rodrigo López-Farías:
A literature review on satellite image time series forecasting: Methods and applications for remote sensing. - Lipika Dey:
Knowledge graph-driven data processing for business intelligence. - Abinaya Gopalakrishnan, Raj Gururajan, Xujuan Zhou, Revathi Venkataraman, Ka Ching Chan, Niall Higgins:
A survey of autonomous monitoring systems in mental health. - Correction to "Expression of Concern: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREsData Mining Knowl. Discov. 9, e1278 (2019). https://doi.org/10.1002/widm.1278".
Volume 14, Number 4, 2024
- H. M. K. K. M. B. Herath, Mamta Mittal, Aman Kataria:
Navigating the metaverse: A technical review of emerging virtual worlds. - Simona Colucci, Francesco M. Donini, Eugenio Di Sciascio:
A review of reasoning characteristics of RDF-based Semantic Web systems. - Sowmya S. Sundaram, Sairam Gurajada, Deepak Padmanabhan, Savitha Sam Abraham, Marco Fisichella:
Does a language model "understand" high school math? A survey of deep learning based word problem solvers. - Mohannad Z. Naser:
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence. - Shruti Arora, Rinkle Rani, Nitin Saxena:
A systematic review on detection and adaptation of concept drift in streaming data using machine learning techniques.
Volume 14, Number 5, 2024
- Iven Van Mechelen, Christian Hennig, Henk A. L. Kiers:
Onset of a conceptual outline map to get a hold on the jungle of cluster analysis. - Mamta Mittal, Vedika Gupta, Mohammad Aamash, Tejas Upadhyay:
Machine learning for pest detection and infestation prediction: A comprehensive review. - Georgios Peikos, Gabriella Pasi:
A systematic review of multidimensional relevance estimation in information retrieval. - José Carlos Sancho Núñez, Juan Antonio Gómez Pulido, Rafael Robina Ramírez:
Machine learning applied to tourism: A systematic review. - Xieling Chen, Haoran Xie, Xiaohui Tao, Lingling Xu, Jingjing Wang, Hongning Dai, Fu Lee Wang:
A topic modeling-based bibliometric exploration of automatic summarization research. - M. Sajid, R. Sharma, Iman Beheshti, Muhammad Tanveer:
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern. - Vankamamidi Srinivasa Naresh, Guduru V. N. S. R. Ratnakara Rao, D. V. N. Prabhakar:
Predictive machine learning in optimizing the performance of electric vehicle batteries: Techniques, challenges, and solutions.
Volume 14, Number 6, 2024
- Mohamed Abd El-Aziz, Mohammed A. A. Al-qaness, Abdelghani Dahou, Mohammed Azmi Al-Betar, Mona Mostafa Mohamed, Mohamed El-shinawi, Amjad Ali, Ahmed A. Ewees:
Digital twins in healthcare: Applications, technologies, simulations, and future trends. - Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Navid Sobhi, Keysan Pourmoghtader, Siamak Pedrammehr, Houshyar Asadi, Ru San Tan, Roohallah Alizadehsani, U. Rajendra Acharya:
Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade. - Poulami Das, Avishek Ray, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel, Leo Mrsic, Tingwen Huang, Ivan Zelinka:
A brief review on quantum computing based drug design. - Yue Huang, Runyu Tian:
Lead-lag effect of research between conference papers and journal papers in data mining. - Yang Yang, Yuchao Gao, Zhe Ding, Jinran Wu, Shaotong Zhang, Feifei Han, Xuelan Qiu, Shangce Gao, You-Gan Wang:
Advancements in Q-learning meta-heuristic optimization algorithms: A survey. - J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng:
Continual learning and its industrial applications: A selective review. - Arslan Amjad, Shahzad Qaiser, Monika Blaszczyszyn, Agnieszka Szczesna:
The evolution of frailty assessment using inertial measurement sensor-based gait parameter measurements: A detailed analysis. - Mueen Uddin, Muath Obaidat, Selvakumar Manickam, Shams-ul-Arfeen Laghari, Abdulhalim Dandoush, Hidayat Ullah, Syed Sajid Ullah:
Exploring the convergence of Metaverse, Blockchain, and AI: A comprehensive survey of enabling technologies, applications, challenges, and future directions. - Tanvir Habib Sardar:
Reflecting on a Decade of Evolution: MapReduce-Based Advances in Partitioning-Based, Hierarchical-Based, and Density-Based Clustering (2013-2023). - Anna Saranti, Bastian Pfeifer, Christoph Gollob, Karl Stampfer, Andreas Holzinger:
From 3D point-cloud data to explainable geometric deep learning: State-of-the-art and future challenges. - Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët:
A taxonomy of automatic differentiation pitfalls. - Manju Priya Arthanarisamy Ramaswamy, Suja Palaniswamy:
Multimodal emotion recognition: A comprehensive review, trends, and challenges. - Faijan Akhtar, Md Belal Bin Heyat, Arshiya Sultana, Saba Parveen, Hafiz Muhammad Zeeshan, Stalin Fathima Merlin, Bairong Shen, Dustin Pomary, Jian Ping Li, Mohamad Sawan:
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies. - Smith K. Khare, Victoria Blanes-Vidal, Berit Bargum Booth, Lone Kjeld Petersen, Esmaeil S. Nadimi:
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection. - Taiwo Kolajo, Olawande J. Daramola:
A Conceptual Framework for Human-Centric and Semantics-Based Explainable Event Detection. - L. Jani Anbarasi, Malathy Jawahar, R. Beulah Jayakumari, Modigari Narendra, Vinayakumar Ravi, R. Neeraja:
An overview of current developments and methods for identifying diabetic foot ulcers: A survey.
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