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  • Syed Jahangir Badashah, Shaik Shafiulla Basha, Shaik Rafi Ahamed, S P V Subba Rao, M Janardhan Raju, Mudda Mallikarjun. Taylor-Gorilla troops optimized deep learning network for surface roughness estimation. Network (Bristol, England). 2023, 34 (4): 221-249
    Cited : 1
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  • G Jasmine Christabel, A C Subhajini. KPCA-WRF-prediction of heart rate using deep feature fusion and machine learning classification with tuned weighted hyper-parameter. Network (Bristol, England). 2023, 34 (4): 250-281
    Cited : 1
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  • J Mercy Faustina, V Akash, Anmol Gupta, V Divya, Takasi Manoj, N Sadagopan, B Sivaselvan. A study of neural artistic style transfer models and architectures for Indian art styles. Network (Bristol, England). 2023, 34 (4): 282-305
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  • Prasun Dutta, Rajat K De. MDSR-NMF: Multiple deconstruction single reconstruction deep neural network model for non-negative matrix factorization. Network (Bristol, England). 2023, 34 (4): 306-342
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  • M Masthan, K Pazhanikumar, Meena Chavan, Jyothi Mandala, Sanjay Nakharu Prasad Kumar. SCSLnO-SqueezeNet: Sine Cosine-Sea Lion Optimization enabled SqueezeNet for intrusion detection in IoT. Network (Bristol, England). 2023, 34 (4): 343-373
    Cited : 1
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  • Christoph Anders, Gabriel Curio, Bert Arnrich, Gunnar Waterstraat. Optimization of data pre-processing methods for time-series classification of electroencephalography data. Network (Bristol, England). 2023, 34 (4): 374-391
    Cited : 1
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  • Xinwei Wang, Hongliang Gao, Jiulong Song, Peng Jing, Chao Wang, Nuanxin Yu, Shanshan Wu, Jianxiong Zhu, Zhiqiang Gao. How somatosensory evoked potentials improve the diagnosis of the disturbance of consciousness: A retrospective analysis. Network (Bristol, England). 2023, 34 (4): 392-407
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  • Sudhakar Raju, Venkateswara Rao Peddireddy Veera. Classification of brain tumours from MRI images using deep learning-enabled hybrid optimization algorithm. Network (Bristol, England). 2023, 34 (4): 408-437
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  • Yongsheng Wang, Yuhao Wu, Hao Xu, Zhen Chen, Jing Gao, ZhiWei Xu, Leixiao Li. A combination predicting methodology based on T-LSTNet_Markov for short-term wind power prediction. Network (Bristol, England). 2023, 34 (3): 151-173
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  • Yan Zhang, Qili Hu, Jiali Liang, Zhenghui Hu, Tianyi Qian, Kuncheng Li, Xiaohu Zhao, Peipeng Liang. Shorter TR combined with finer atlas positively modulate topological organization of brain network: A resting state fMRI study. Network (Bristol, England). 2023, 34 (3): 174-189
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  • Somasundaram Krishnamoorthy, Sivakumar Paulraj, Nagendra Prabhu Selvaraj, Balakumaresan Ragupathy, Selvapandian Arumugam. A novel approach for neural networks based diagnosis and grading of stroke in tumor-affected brain MRIs. Network (Bristol, England). 2023, 34 (3): 190-220
    Cited : 1
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  • Revathi Sundarasekar, Ahilan Appathurai. FMTM-feature-map-based transform model for brain image segmentation in tumor detection. Network (Bristol, England). 2023, 34 (1-2): 1-25
    Cited : 1
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  • Farzaneh Kheyrinataj, Alireza Nazemi, Marziyeh Mortezaee. Solving time delay fractional optimal control problems via a Gudermannian neural network and convergence results. Network (Bristol, England). 2023, 34 (1-2): 122-150
    Cited : 0
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  • Saravanan Suba, M Muthulakshmi. A systematic review: Chest radiography images (X-ray images) analysis and COVID-19 categorization diagnosis using artificial intelligence techniques. Network (Bristol, England). 2023, 34 (1-2): 26-64
    Cited : 1
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  • Ziyin Huang, Bingo Wing-Kuen Ling, Yui-Lam Chan. Two phases based training method for designing codewords for a set of perceptrons with each perceptron having multi-pulse type activation function. Network (Bristol, England). 2023, 34 (1-2): 65-83
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