Amir Ali Feiz

According to our database, Amir Ali Feiz authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

PrecipitaTrack: A Comprehensive Dataset for Advancing Object Tracking in Autonomous Vehicles.

Bidisha Samanta, Sriparna Banerjee, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz, SoS Again

Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

Harnessing Deep Learning For Diseased And Fresh Orange Detection: A Comparative Analysis Of Yolo V8 And Rt-detr.

Kyamelia Roy, Mohammad Hatif Osmani, Tapan Kumar Pal, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz

Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

Pollutant Concentration Prediction by Random Forest to Estimate a Contaminant Source Position.

Sidi Mohammed Alaoui, Khalifa Djemal, Amir Ali Feiz, Pierre Ngae

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

GreenMedNet: A computationally inexpensive hyperparameter optimised dual attention based insulin leaves categorization approach.

Ranadhir Das, Sriparna Banerjee, Bidisha Samanta, Swati Chowdhuri, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz

Proceedings of the Fifth International Conference on Intelligent Data Science Technologies and Applications, 2024

Pollutant Source Localization Based on Siamese Neural Network Similarity Measure.

Sidi Mohammed Alaoui, Khalifa Djemal, Ehsan Sedgh Gooya, Amir Ali Feiz, Ayman Alfalou, Pierre Ngae

Proceedings of the Deep Learning Theory and Applications, 2024

2023

Prediction of Air Pollutant Concentrations in Airport Areas using Machine Learning Architecture.

Huaijin Wang, Khalifa Djemal, Amir Ali Feiz, Sheli Sinha Chaudhuri

Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

MangNet: A Muti-Scale Contextual Information Driven Deep Learning Architecture designed to perform Sunderban Landcover classification.

S. K. Daud Hassan, Sripama Banerjee, Debanka Pal, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz

Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

Foliage-Pattern-Identifier: A Hybridized Grey Wolf & Adam optimized Deep Learning architecture designed for identification of similarly patterned leaves.

Sriparna Banerjee, S. K. Daud Hassan, Suranjana Mukherjee, Sheli Sinha Chaudhuri, Khalifa Djemal, Amir Ali Feiz

Proceedings of the Twelfth International Conference on Image Processing Theory, 2023