Results 61 to 70 of about 896,165 (218)

Unmanned aerial vehicles object detection based on image haze removal under sea fog conditions

open access: yesIET Image Processing, 2022
Unmanned aerial vehicles (UAVs) have gradually become a major air threat to ships because of small size, good maneuverability, and low cost. Vision‐based UAV detection offers one of the main ways to identify and protect against UAVs.
Wang Pikun   +3 more
doaj   +1 more source

Improved DCP Haze Removal Method Using Entropy of Depth Information [PDF]

open access: yes, 2017
It is important to haze removal in image processing because it makes it difficult to analyze color information and edge information in marine and aeronautical fields, which are sensitive to meteorological conditions.
이누리
core  

Single image haze removal to deal with cross-color

open access: yes, 2011
Conference Name:2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011. Conference Address: Nanjing, China.
Zhang, Guohua   +8 more
core   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani   +4 more
wiley   +1 more source

An architecture for real-time retinex-based image enhancement and haze removal and its FPGA implementation

open access: yes, 2022
In recent years, much research interest has developed in image enhancement and haze removal techniques. With increasing demand for real time enhancement and haze removal, the need for efficient architecture incorporating both haze removal and enhancement
Kasauka, D   +4 more
core   +1 more source

Flexible plasma‐sintered transparent conducting electrodes fabricated from particle free gold inks

open access: yesFlexMat, EarlyView.
Thin gold electrodes fabricated via particle free metal organic decomposition inks provide a promising alternative to indium tin oxide for flexible devices. Low temperature plasma sintering enables compatibility with polymer substrates while maintaining transparency and sufficient electrical conductivity for optoelectronic applications.
Michael Hengge   +5 more
wiley   +1 more source

Pseudo-polarimetric Method for Dense Haze Removal

open access: yesIEEE Photonics Journal, 2019
The scattering and absorption by the existing particles in turbid media is severely degrading the image quality and decreasing the visibility distance, especially in dense turbid media.
Xiaobo Li   +6 more
doaj   +1 more source

Purification of crude cellulase obtained from Aspergillus foetidus and its immobilization in agar xerogel: A comparative study with commercial cellulase immobilized in similar support

open access: yesFood Biomacromolecules, EarlyView.
Agar xerogel was used to immobilize cellulase. Properties of partially purified cellulase from Aspergillus foetidus and commercial cellulase were compared after immobilization. Abstract This research study is a comparative study of the characteristics of partially purified cellulase produced from Aspergillus foetidus through solid‐state fermentation ...
Bhaskar Jyoti Kalita, Nandan Sit
wiley   +1 more source

Algoritma Haze Detection Dengan Menggunakan Haze Index Pada Citra Spot 6/7 = Haze Detection Algorithm Using Haze Index On Spot 6/7 Imagery

open access: yes, 2018
Citra optis multispektral sering terkontaminasi oleh haze maupun cirrus sehingga menurunkan akurasi interpretasi data yang ada. Sejumlah metode untuk melakukan haze detection telah dikembangkan oleh para ahli.
Randy Prima Brahmantara   +4 more
core  

The 5R's of large language model‐assisted diagnosis: A practical framework for hospitalists

open access: yesJournal of Hospital Medicine, EarlyView.
Abstract Diagnostic error remains a major patient safety challenge in hospital medicine. Large language models (LLMs) are increasingly used by clinicians to aid in diagnosis, yet most lack a structured approach for doing so safely and effectively. In this piece, we propose a practical, clinician‐centered framework for LLM‐assisted diagnosis.
Peter Barish   +2 more
wiley   +1 more source

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