Ausgabe 33/2023
Special Issue on Deep neuro-fuzzy analytics for intelligent big data processing in smart ecosystems (pp.23667-23908)/ Regular Papers (pp.23909-24035)
Inhalt (25 Artikel)
Deep neuro-fuzzy analytics for intelligent big data processing in smart ecosystems
Gagangeet Singh Aujla, Anish Jindal, Danda B. Rawat, Chunxiao Jiang
A review on COVID-19 forecasting models
Iman Rahimi, Fang Chen, Amir H. Gandomi
A novel solution for finding postpartum haemorrhage using fuzzy neural techniques
V. D. Ambeth Kumar, S. Sharmila, Abhishek Kumar, A. K. Bashir, Mamoon Rashid, Sachin Kumar Gupta, Waleed S. Alnumay
Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach
Heena Rathore, Amr Mohamed, Mohsen Guizani, Shailendra Rathore
Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection
Surbhi Vijh, Prashant Gaurav, Hari Mohan Pandey
A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system
Yuwen Chen, Bin Song, Yuan Zeng, Xiaojiang Du, Mohsen Guizani
Smart aging monitoring and early dementia recognition (SAMEDR): uncovering the hidden wellness parameter for preventive well-being monitoring to categorize cognitive impairment and dementia in community-dwelling elderly subjects through AI
Hemant Ghayvat, Prosanta Gope
Towards design and implementation of Industry 4.0 for food manufacturing
Savas Konur, Yang Lan, Dhavalkumar Thakker, Geev Morkyani, Nereida Polovina, James Sharp
Predicting users’ behavior using mouse movement information: an information foraging theory perspective
Amit Kumar Jaiswal, Prayag Tiwari, M. Shamim Hossain
Data-driven management for fuzzy sewage treatment processes using hybrid neural computing
Wenru Zeng, Zhiwei Guo, Yu Shen, Ali Kashif Bashir, Keping Yu, Yasser D. Al-Otaibi, Xu Gao
A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems
Godfrey Kibalya, Joan Serrat, Juan-Luis Gorricho, Dorothy Okello, Peiying Zhang
Hybrid NN-based green cognitive radio sensor networks for next-generation IoT
Amrit Mukherjee, Manman Li, Pratik Goswami, Lixia Yang, Sahil Garg, Md. Jalil Piran
N-semble-based method for identifying Parkinson’s disease genes
Priya Arora, Ashutosh Mishra, Avleen Malhi
Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks
Abida Perveen, Raouf Abozariba, Mohammad Patwary, Adel Aneiba
Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks
Kapal Dev, Sunder Ali Khowaja, Ankur Singh Bist, Vaibhav Saini, Surbhi Bhatia
A hybrid weighted fuzzy approach for brain tumor segmentation using MR images
Prabhjot Kaur Chahal, Shreelekha Pandey
HTwitt: a hadoop-based platform for analysis and visualization of streaming Twitter data
Umit Demirbaga
Review of age and gender detection methods based on handwriting analysis
Fahimeh Alaei, Alireza Alaei
Utilizing social media and machine learning for personality and emotion recognition using PERS
Fatma M. Talaat, Eman M. El-Gendy, Mahmoud M. Saafan, Samah A. Gamel
Automated detecting and severity grading of diabetic retinopathy using transfer learning and attention mechanism
Maryam Dinpajhouh, Seyyed Ali Seyyedsalehi
SCAU-net: 3D self-calibrated attention U-Net for brain tumor segmentation
Dongwei Liu, Ning Sheng, Yutong Han, Yaqing Hou, Bin Liu, Jianxin Zhang, Qiang Zhang
Reinforcement learning-based robust optimal tracking control for disturbed nonlinear systems
Zhong-Xin Fan, Lintao Tang, Shihua Li, Rongjie Liu
A gradient boosting-based mortality prediction model for COVID-19 patients
Sinem Bozkurt Keser, Kemal Keskin