High speed CRC with 64-bit generator polynomial on an FPGA. - Amila Akagic; Hideharu Amano (SIGARCH Comput. Archit. News, 2011)

Performance analysis of fully-adaptable CRC accelerators on an FPGA. - Amila Akagic; Hideharu Amano (FPL, 2012)

A study of adaptable co-processors for Cyclic Redundancy Check on an FPGA. - Amila Akagic; Hideharu Amano (FPT, 2012)

High-Speed Fully-Adaptable CRC Accelerators. - Amila Akagic; Hideharu Amano (IEICE Trans. Inf. Syst., 2013)

Design and Implementation of IP-based iSCSI Offload Engine on an FPGA. - Amila Akagic; Hideharu Amano (IPSJ Trans. Syst. LSI Des. Methodol., 2013)

Pothole detection: An efficient vision based method using RGB color space image segmentation. - Amila Akagic; Emir Buza; Samir Omanovic (MIPRO, 2017)

A hybrid method for prediction of protein secondary structure based on multiple artificial neural networks. - Haris Hasic; Emir Buza; Amila Akagic (MIPRO, 2017)

Superpixel Accelerator for Computer Vision Applications on Arria 10 SoC. - Amila Akagic; Emir Buza; Razija Turcinhodzic; Hana Haseljic; Hiroyuki Noda; Hideharu Amano (DDECS, 2018)

OpenCL Superpixel Implementation on a General Purpose Multi-core CPU. - Hana Haseljic; Emir Cogo; Irfan Prazina; Razija Turcinhodzic; Emir Buza; Amila Akagic (IST, 2018)

Pavement crack detection using Otsu thresholding for image segmentation. - Amila Akagic; Emir Buza; Samir Omanovic; Almir Karabegovic (MIPRO, 2018)

Low cost UGV platform for autonomous 2D navigation and map-building based on a single sensory input. - Edvin Teskeredzic; Amila Akagic (CoDIT, 2020)

Single Object Trackers in OpenCV: A Benchmark. - Adnan Brdjanin; Nadja Dardagan; Dzemil Dzigal; Amila Akagic (INISTA, 2020)

Two approaches in solving Rubik's cube with Hardware-Software Co-design. - Emir Barucija; Amila Akagic; Samir Ribic; Zeljko Juric (MIPRO, 2020)

Multiple Object Trackers in OpenCV: A Benchmark. - Nadja Dardagan; Adnan Brdanin; Dzemil Dzigal; Amila Akagic (ISIE, 2021)

Deep Reinforcement Learning in Smart Grid: Progress and Prospects. - Amila Akagic; Izudin Dzafic (ICAT, 2022)

Computer Vision with 3D Point Cloud Data: Methods, Datasets and Challenges. - Amila Akagic; Senka Krivic; Harun Dizdar; Jasmin Velagic (ICAT, 2022)

Multilevel image thresholding based on Rao algorithms and Kapur's Entropy. - Emir Turajlic; Emir Buza; Amila Akagic (ICAT, 2022)

Unsupervised Method for Wildfire Flame Segmentation and Detection. - Emir Buza; Amila Akagic (IEEE Access, 2022)

Early Stage Flame Segmentation with Deep Learning and Intel's OpenVINO Toolkit. - Medina Kapo; Adnan Sabanovic; Amila Akagic; Emir Buza (ICAT, 2023)

Early Stage Flame Segmentation with DeepLabv3+ and Weighted Cross-Entropy. - Adnan Sabanovic; Negra Ahmetspahic; Medina Kapo; Emir Buza; Amila Akagic (ICAT, 2023)

Exploring the Impact of Real and Synthetic Data in Image Classification: A Comprehensive Investigation Using CIFAKE Dataset. - Amila Akagic; Emir Buza; Medina Kapo; Mahdi Bohlouli (CoDIT, 2024)

Exploring Convolutional Autoencoder Efficacy in Noise Removal for Image Processing and Computer Vision: A Study Using the MNIST Dataset. - Elma Kandic; Amila Akagic; Mahdi Bohlouli (CoDIT, 2024)

Semantic Segmentation of Brain Tumors: A Performance Evaluation Using DeepLabV3+, UNet, and Intel's OpenVINO Toolkit. - Medina Kapo; Amila Akagic; Emir Buza (CoDIT, 2024)

Enhancing smart grid resilience with deep learning anomaly detection prior to state estimation. - Amila Akagic; Izudin Dzafic (Eng. Appl. Artif. Intell., 2024)

Comparative Analysis of CNN Performance in Keras, PyTorch and JAX on PathMNIST. - Anida Nezovic; Jalal Romano; Nada Maric; Medina Kapo; Amila Akagic (CoRR, 2025)

Improving Diagnostic Accuracy of Pigmented Skin Lesions With CNNs: an Application on the DermaMNIST Dataset. - Nerma Kadric; Amila Akagic; Medina Kapo (CoRR, 2025)

Performance comparison of medical image classification systems using TensorFlow Keras, PyTorch, and JAX. - Merjem Becirovic; Amina Kurtovic; Nordin Smajlovic; Medina Kapo; Amila Akagic (CoRR, 2025)