Amin Ullah
Orcid: 0000-0001-7538-2689
According to our database1,
Amin Ullah
authored at least 54 papers
between 2018 and 2024.
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Bibliography
2024
Deep-ReID: deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance.
Multim. Tools Appl., February, 2024
The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions.
CoRR, 2024
2023
IEEE Trans. Ind. Informatics, July, 2023
AI-based Bayesian inference scheme to recognize electroencephalogram signals for smart healthcare.
Clust. Comput., April, 2023
LocateUAV: Unmanned Aerial Vehicle Location Estimation via Contextual Analysis in an IoT Environment.
IEEE Internet Things J., March, 2023
AI-Driven Salient Soccer Events Recognition Framework for Next-Generation IoT-Enabled Environments.
IEEE Internet Things J., February, 2023
IEEE Internet Things J., 2023
ACM Comput. Surv., 2023
Comput. Syst. Sci. Eng., 2023
Robust Deep Neural Network-Based Framework for Predicting and Classifying Capsid Protein Based on Biomedical Data.
IEEE Access, 2023
2022
Int. J. Intell. Syst., December, 2022
IEEE Trans. Hum. Mach. Syst., 2022
A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset.
Sensors, 2022
Enabling automation and edge intelligence over resource constraint IoT devices for smart home.
Neurocomputing, 2022
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data.
Future Gener. Comput. Syst., 2022
Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU.
Complex., 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos.
Sensors, 2021
A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal.
Sensors, 2021
Exploring 3D Human Action Recognition Using STACOG on Multi-View Depth Motion Maps Sequences.
Sensors, 2021
CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks.
Multim. Tools Appl., 2021
Multim. Tools Appl., 2021
SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network.
J. Real Time Image Process., 2021
Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments.
IEEE Internet Things J., 2021
Neurocomputing, 2021
Human action recognition using attention based LSTM network with dilated CNN features.
Future Gener. Comput. Syst., 2021
A weighted multi-feature transfer learning framework for intelligent medical decision making.
Appl. Soft Comput., 2021
Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications.
Appl. Soft Comput., 2021
Batteries State of Health Estimation via Efficient Neural Networks With Multiple Channel Charging Profiles.
IEEE Access, 2021
A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images.
IEEE Access, 2021
Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021
2020
IEEE Trans. Ind. Informatics, 2020
Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data.
Sensors, 2020
Towards Efficient Building Designing: Heating and Cooling Load Prediction via Multi-Output Model.
Sensors, 2020
Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework.
Sensors, 2020
Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications.
Sensors, 2020
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation.
Remote. Sens., 2020
Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition.
Mob. Networks Appl., 2020
Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks.
IEEE Access, 2020
Event-Oriented 3D Convolutional Features Selection and Hash Codes Generation Using PCA for Video Retrieval.
IEEE Access, 2020
IEEE Access, 2020
An Adaptive Filtering Technique for Segmentation of Tuberculosis in Microscopic Images.
Proceedings of the NLPIR 2020: 4th International Conference on Natural Language Processing and Information Retrieval, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM.
IEEE Trans. Ind. Electron., 2019
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network.
Sensors, 2019
Multi-grade brain tumor classification using deep CNN with extensive data augmentation.
J. Comput. Sci., 2019
Efficient Image Recognition and Retrieval on IoT-Assisted Energy-Constrained Platforms From Big Data Repositories.
IEEE Internet Things J., 2019
Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments.
Future Gener. Comput. Syst., 2019
Personalized Movie Summarization Using Deep CNN-Assisted Facial Expression Recognition.
Complex., 2019
Online optimization for Adaptive Scalable Video Transmission in SDN using Kernel-based ADP.
Proceedings of the 13th International Conference on Signal Processing and Communication Systems, 2019
2018
Integrating salient colors with rotational invariant texture features for image representation in retrieval systems.
Multim. Tools Appl., 2018
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features.
IEEE Access, 2018