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ORCIDAmila Akagic
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2020 – today
- 2024
[j5]Amila Akagic
, Izudin Dzafic:
Enhancing smart grid resilience with deep learning anomaly detection prior to state estimation. Eng. Appl. Artif. Intell. 127(Part B): 107368 (2024)- [c19]Amila Akagic, Emir Buza, Medina Kapo, Mahdi Bohlouli:
Exploring the Impact of Real and Synthetic Data in Image Classification: A Comprehensive Investigation Using CIFAKE Dataset. CoDIT 2024: 1207-1212 - [c18]Elma Kandic, Amila Akagic, Mahdi Bohlouli:
Exploring Convolutional Autoencoder Efficacy in Noise Removal for Image Processing and Computer Vision: A Study Using the MNIST Dataset. CoDIT 2024: 1275-1280 - [c17]Medina Kapo, Amila Akagic, Emir Buza:
Semantic Segmentation of Brain Tumors: A Performance Evaluation Using DeepLabV3+, UNet, and Intel's OpenVINO Toolkit. CoDIT 2024: 1565-1570 - 2023
- [c16]Medina Kapo, Adnan Sabanovic, Amila Akagic, Emir Buza:
Early Stage Flame Segmentation with Deep Learning and Intel's OpenVINO Toolkit. ICAT 2023: 1-6 - [c15]Adnan Sabanovic, Negra Ahmetspahic, Medina Kapo, Emir Buza, Amila Akagic:
Early Stage Flame Segmentation with DeepLabv3+ and Weighted Cross-Entropy. ICAT 2023: 1-6 - 2022
- [j4]Emir Buza, Amila Akagic:
Unsupervised Method for Wildfire Flame Segmentation and Detection. IEEE Access 10: 55213-55225 (2022) - [c14]Amila Akagic, Izudin Dzafic:
Deep Reinforcement Learning in Smart Grid: Progress and Prospects. ICAT 2022: 1-6 - [c13]Amila Akagic, Senka Krivic, Harun Dizdar, Jasmin Velagic:
Computer Vision with 3D Point Cloud Data: Methods, Datasets and Challenges. ICAT 2022: 1-8 - [c12]Emir Turajlic, Emir Buza, Amila Akagic:
Multilevel image thresholding based on Rao algorithms and Kapur's Entropy. ICAT 2022: 1-7 - 2021
- [c11]Nadja Dardagan, Adnan Brdanin, Dzemil Dzigal, Amila Akagic:
Multiple Object Trackers in OpenCV: A Benchmark. ISIE 2021: 1-6 - [i1]Nadja Dardagan, Adnan Brdjanin, Dzemil Dzigal, Amila Akagic:
Multiple Object Trackers in OpenCV: A Benchmark. CoRR abs/2110.05102 (2021) - 2020
- [c10]Edvin Teskeredzic, Amila Akagic:
Low cost UGV platform for autonomous 2D navigation and map-building based on a single sensory input. CoDIT 2020: 988-993 - [c9]Adnan Brdjanin, Nadja Dardagan, Dzemil Dzigal, Amila Akagic:
Single Object Trackers in OpenCV: A Benchmark. INISTA 2020: 1-6 - [c8]Emir Barucija, Amila Akagic, Samir Ribic, Zeljko Juric:
Two approaches in solving Rubik's cube with Hardware-Software Co-design. MIPRO 2020: 128-133
2010 – 2019
- 2018
- [c7]Amila Akagic, Emir Buza, Razija Turcinhodzic, Hana Haseljic, Hiroyuki Noda, Hideharu Amano:
Superpixel Accelerator for Computer Vision Applications on Arria 10 SoC. DDECS 2018: 55-60 - [c6]Hana Haseljic, Emir Cogo, Irfan Prazina, Razija Turcinhodzic, Emir Buza, Amila Akagic:
OpenCL Superpixel Implementation on a General Purpose Multi-core CPU. IST 2018: 1-6 - [c5]Amila Akagic, Emir Buza, Samir Omanovic, Almir Karabegovic:
Pavement crack detection using Otsu thresholding for image segmentation. MIPRO 2018: 1092-1097 - 2017
- [c4]Amila Akagic, Emir Buza, Samir Omanovic:
Pothole detection: An efficient vision based method using RGB color space image segmentation. MIPRO 2017: 1104-1109 - [c3]Haris Hasic, Emir Buza, Amila Akagic:
A hybrid method for prediction of protein secondary structure based on multiple artificial neural networks. MIPRO 2017: 1195-1200 - 2013
- [j3]Amila Akagic, Hideharu Amano:
High-Speed Fully-Adaptable CRC Accelerators. IEICE Trans. Inf. Syst. 96-D(6): 1299-1308 (2013) - [j2]Amila Akagic, Hideharu Amano:
Design and Implementation of IP-based iSCSI Offload Engine on an FPGA. IPSJ Trans. Syst. LSI Des. Methodol. 6: 112-121 (2013) - 2012
- [c2]Amila Akagic, Hideharu Amano:
Performance analysis of fully-adaptable CRC accelerators on an FPGA. FPL 2012: 575-578 - [c1]Amila Akagic, Hideharu Amano:
A study of adaptable co-processors for Cyclic Redundancy Check on an FPGA. FPT 2012: 119-124 - 2011
- [j1]Amila Akagic, Hideharu Amano:
High speed CRC with 64-bit generator polynomial on an FPGA. SIGARCH Comput. Archit. News 39(4): 72-77 (2011)
Coauthor Index
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last updated on 2024-11-13 23:46 CET by the dblp team
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