SUBJECTS : Physical Layer Techniques | Network Management | Network Signal Processing | | | Tensor Network
Network: 2023, vol: , issue:
- 1)- 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 : 1Read More - 2)- 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): 250-281Cited : 1Read More
- 3)- 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): 282-305Cited : 0Read More
- 4)- 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): 306-342Cited : 0Read More
- 5)- 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): 343-373Cited : 0Read More
- 6)- 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): 374-391Cited : 0Read More
- 7)- 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): 392-407Cited : 0Read More
- 8)- 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): 408-437Cited : 1Read More
- 9)- 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): 151-173Cited : 0Read More
- 10)- 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): 174-189Cited : 0Read More
- 11)- 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): 190-220Cited : 1Read More
- 12)- Revathi Sundarasekar, Ahilan Appathurai. FMTM-feature-map-based transform model for brain image segmentation in tumor detection. Network (Bristol, England). 2023, 34 (1-2): 1-25Cited : 0Read More
- 13)- 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): 122-150Cited : 0Read More
- 14)- 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): 26-64Cited : 0Read More
- 15)- 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): 65-83Cited : 0Read More
- 16)- Jian Song, Hui Lin, Shenquan Liu. Basal ganglia network dynamics and function: Role of direct, indirect and hyper-direct pathways in action selection. Network (Bristol, England). 2023, 34 (1-2): 84-121Cited : 7Read More
- 17)- Vaishali Bajait, Nandagopal Malarvizhi. Automated grape leaf nutrition deficiency disease detection and classification Equilibrium Optimizer with deep transfer learning model. Network (Bristol, England). 2023, : 1-18Cited : 0Read More
- 18)- David Femi, Manapakkam Anandan Mukunthan. Plant leaf infected spot segmentation using robust encoder-decoder cascaded deep learning model. Network (Bristol, England). 2023, : 1-19Cited : 0Read More
- 19)- Ying Yang, Shengbin Yue, Haiyan Quan. CS-UNet: Cross-scale U-Net with Semantic-position dependencies for retinal vessel segmentation. Network (Bristol, England). 2023, : 1-20Cited : 0Read More
- 20)- Amol Dattatray Dhaygude. Optimization-enabled deep learning model for disease detection in IoT platform. Network (Bristol, England). 2023, : 1-22Cited : 0Read More
- 21)- Atul Barve, Pushpinder Singh Patheja. A clustering approach for attack detection and data transmission in vehicular ad-hoc networks. Network (Bristol, England). 2023, : 1-26Cited : 2Read More
- 22)- Rajveer K Shastri, Aparna R Shastri, Prashant P Nitnaware, Digambar M Padulkar. Hybrid Sneaky algorithm-based deep neural networks for Heart sound classification using phonocardiogram. Network (Bristol, England). 2023, : 1-26Cited : 0Read More
- 23)- Srilakshmi Aluri, Sagar S Imambi. Brain tumour classification using MRI images based on lenet with golden teacher learning optimization. Network (Bristol, England). 2023, : 1-28Cited : 1Read More
- 24)- Dhanabal Subramanian, Sangeetha Subramaniam, Krishnamoorthy Natarajan, Kumaravel Thangavel. Flamingo Jelly Fish search optimization-based routing with deep-learning enabled energy prediction in WSN data communication. Network (Bristol, England). 2023, : 1-28Cited : 4Read More
- 25)- Fatma Özcan, Ahmet Alkan. Neural decoding of inferior colliculus multiunit activity for sound category identification with temporal correlation and transfer learning. Network (Bristol, England). 2023, : 1-33Cited : 1Read More
- 26)- Gnanendra Kotikam, Lokesh Selvaraj. Golden eagle based improved Att-BiLSTM model for big data classification with hybrid feature extraction and feature selection techniques. Network (Bristol, England). 2023, : 1-36Cited : 0Read More
