An Economic Operation Analysis Method of Transformer Based on Clustering. - Junde Chen; Defu Zhang; Yaser Ahangari Nanehkaran (IEEE Access, 2019)

Using deep transfer learning for image-based plant disease identification. - Junde Chen; Jinxiu Chen; Defu Zhang; Yuandong Sun; Yaser Ahangari Nanehkaran (Comput. Electron. Agric., 2020)

A novel data-driven robust framework based on machine learning and knowledge graph for disease classification. - Zhenfeng Lei; Yuan Sun; Yaser Ahangari Nanehkaran; Shuangyuan Yang; Md. Saiful Islam 006; Huiqing Lei; Defu Zhang (Future Gener. Comput. Syst., 2020)

Intelligent monitoring method of water quality based on image processing and RVFL-GMDH model. - Junde Chen; Defu Zhang; Shuangyuan Yang; Yaser Ahangari Nanehkaran (IET Image Process., 2020)

Identifying plant diseases using deep transfer learning and enhanced lightweight network. - Junde Chen; Defu Zhang; Yaser Ahangari Nanehkaran (Multim. Tools Appl., 2020)

A Method for Optimal Detection of Lung Cancer Based on Deep Learning Optimized by Marine Predators Algorithm. - Xinrong Lu; Yaser Ahangari Nanehkaran; Maryam Karimi Fard (Comput. Intell. Neurosci., 2021)

An Optimized Method for Skin Cancer Diagnosis Using Modified Thermal Exchange Optimization Algorithm. - Liu Wei; Su Xiao Pan; Yaser Ahangari Nanehkaran; V. Rajinikanth (Comput. Math. Methods Medicine, 2021)

Identification of rice plant diseases using lightweight attention networks. - Junde Chen; Defu Zhang; Adnan Zeb; Yaser Ahangari Nanehkaran (Expert Syst. Appl., 2021)

Identification of plant disease images via a squeeze-and-excitation MobileNet model and twice transfer learning. - Junde Chen; Defu Zhang; Md Suzauddola; Yaser Ahangari Nanehkaran; Yuandong Sun (IET Image Process., 2021)

A novel MapReduce-based deep convolutional neural network algorithm. - Xiangmin Liu; Jian Hu; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Yi-Min Mao; Rui-Peng Zhang; Zhigang Chen 001 (J. Intell. Fuzzy Syst., 2021)

DBWGIE-MR: A density-based clustering algorithm by using the weighted grid and information entropy based on MapReduce. - Xin Yu; Feng Zeng; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Yi-Min Mao; Kai-Bin Xu; Zhi-Gang Chen 001 (J. Intell. Fuzzy Syst., 2021)

A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis. - Junde Chen; Shuangyuan Yang; Defu Zhang; Yaser Ahangari Nanehkaran (Knowl. Inf. Syst., 2021)

PFIMD: a parallel MapReduce-based algorithm for frequent itemset mining. - Yi-Min Mao; Junhao Geng; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Chi Zhang; Xiaoheng Deng; Zhigang Chen 001 (Multim. Syst., 2021)

A cognitive vision method for the detection of plant disease images. - Junde Chen; Jinxiu Chen; Defu Zhang; Yaser Ahangari Nanehkaran; Yuandong Sun (Mach. Vis. Appl., 2021)

Automatic identification of commodity label images using lightweight attention network. - Junde Chen; Adnan Zeb; Shuangyuan Yang; Defu Zhang; Yaser Ahangari Nanehkaran (Neural Comput. Appl., 2021)

Research of power load prediction based on boost clustering. - Junde Chen; Defu Zhang; Yaser Ahangari Nanehkaran (Soft Comput., 2021)

A pragmatic convolutional bagging ensemble learning for recognition of Farsi handwritten digits. - Yaser Ahangari Nanehkaran; Junde Chen; Soheil Salimi; Defu Zhang (J. Supercomput., 2021)

Analysis and comparison of machine learning classifiers and deep neural networks techniques for recognition of Farsi handwritten digits. - Yaser Ahangari Nanehkaran; Defu Zhang; Soheil Salimi; Junde Chen; Yuan Tian 003; Najla Al-Nabhan (J. Supercomput., 2021)

A study on bilateral matching of team-science talents in new R&D institutions based on grey correlation-cloud model. - Jiang Lin; Jianjun Zhu; Yaser Ahangari Nanehkaran (J. Intell. Fuzzy Syst., 2022)

FP-DCNN: a parallel optimization algorithm for deep convolutional neural network. - Ye Le; Yaser Ahangari Nanehkaran; Deborah Simon Mwakapesa; Ruipeng Zhang; Jianbing Yi; Yimin Mao (J. Supercomput., 2022)

A MapReduce-based K-means clustering algorithm. - Yimin Mao; Dejin Gan; Deborah Simon Mwakapesa; Yaser Ahangari Nanehkaran; Tao Tao; Xueyu Huang (J. Supercomput., 2022)

Stacking ensemble model of deep learning for plant disease recognition. - Junde Chen; Adnan Zeb; Yaser Ahangari Nanehkaran; Defu Zhang (J. Ambient Intell. Humaniz. Comput., 2023)

Multiscale Attention Networks for Pavement Defect Detection. - Junde Chen; Yuxin Wen; Yaser Ahangari Nanehkaran; Defu Zhang; Adnan Zeb (IEEE Trans. Instrum. Meas., 2023)

MRI-based model for MCI conversion using deep zero-shot transfer learning. - Fujia Ren; Chenhui Yang; Yaser Ahangari Nanehkaran (J. Supercomput., 2023)

Machine learning techniques for stock price prediction and graphic signal recognition. - Junde Chen; Yuxin Wen; Yaser Ahangari Nanehkaran; Md Suzauddola; Weirong Chen; Defu Zhang (Eng. Appl. Artif. Intell., 2023)

An improved fused feature residual network for 3D point cloud data. - Abubakar Sulaiman Gezawa; Chibiao Liu; Heming Jia; Yaser Ahangari Nanehkaran; Mubarak Saad Al-Mutairi; Haruna Chiroma (Frontiers Comput. Neurosci., 2023)

MAM-IncNet: an end-to-end deep learning detector for Camellia pest recognition. - Junde Chen; Weirong Chen; Yaser Ahangari Nanehkaran; Md Suzauddola (Multim. Tools Appl., 2024)

Evaluating Electricity Demand Elasticity From a Social Perspective: Implications for Sustainable Development and Urban Resilience. - Yaser Ahangari Nanehkaran; Shixi Tang; Amir Bairami Akhi Jahani; Amir Niromandfam; Tolga Pusatli (IEEE Access, 2025)

An efficient parallel DCNN algorithm in big data environment. - Yimin Mao; Yaser Ahangari Nanehkaran; Neelakandan Chandrasekaran; Ying Huo; Zhan Qing Wen; Ke Gong; Decheng Miao (PeerJ Comput. Sci., 2025)