A comprehensive survey of multi-view video summarization

T Hussain, K Muhammad, W Ding, J Lloret, SW Baik… - Pattern Recognition, 2021 - Elsevier
There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …

Blending big data analytics: Review on challenges and a recent study

F Amalina, IAT Hashem, ZH Azizul, AT Fong… - Ieee …, 2019 - ieeexplore.ieee.org
With the collection of massive amounts of data every day, big data analytics has emerged as
an important trend for many organizations. These collected data can contain important …

[HTML][HTML] Drone-computer communication based tomato generative organ counting model using YOLO V5 and deep-sort

Y Egi, M Hajyzadeh, E Eyceyurt - Agriculture, 2022 - mdpi.com
The growth and development of generative organs of the tomato plant are essential for yield
estimation and higher productivity. Since the time-consuming manual counting methods are …

Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction

C Erden - International Journal of Environmental Science and …, 2023 - Springer
Since air pollution negatively affects human health and causes serious diseases, accurate
air pollution prediction is essential regarding environmental sustainability. Although …

Hyper-parameter optimization of deep learning model for prediction of Parkinson's disease

S Kaur, H Aggarwal, R Rani - Machine Vision and Applications, 2020 - Springer
Neurodegenerative disorder such as Parkinson's disease (PD) is among the severe health
problems in our aging society. It is a neural disorder that affects people socially as well as …

RES: Real-time video stream analytics using edge enhanced clouds

M Ali, A Anjum, O Rana, AR Zamani… - … on Cloud Computing, 2020 - ieeexplore.ieee.org
With increasing availability and use of Internet of Things (IoT) devices such as sensors and
video cameras, large amounts of streaming data is now being produced at high velocity …

Robustness fine-tuning deep learning model for cancers diagnosis based on histopathology image analysis

SA El-Ghany, M Azad, M Elmogy - Diagnostics, 2023 - mdpi.com
Histopathology is the most accurate way to diagnose cancer and identify prognostic and
therapeutic targets. The likelihood of survival is significantly increased by early cancer …

Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment

F Wang, R Wang, C **e, J Zhang, R Li, L Liu - Computers and Electronics in …, 2021 - Elsevier
Due to cost-effectiveness and efficient automation, image analytic based automatic pest
monitoring techniques are widely utilized in specialized control of pests in the agricultural …

[PDF][PDF] Diagnosis of Various Skin Cancer Lesions Based on Fine-Tuned ResNet50 Deep Network.

SA ElGhany, MR Ibraheem, M Alruwaili… - Computers, Materials & …, 2021 - academia.edu
With the massive success of deep networks, there have been significant efforts to analyze
cancer diseases, especially skin cancer. For this purpose, this work investigates the …

Edge-based video analytics: A survey

M Hu, Z Luo, A Pasdar, YC Lee, Y Zhou… - arxiv preprint arxiv …, 2023 - arxiv.org
Edge computing has been getting a momentum with ever-increasing data at the edge of the
network. In particular, huge amounts of video data and their real-time processing …