Results 41 to 50 of about 17,818 (183)

Smart Parking Systems: A Review of Optimization Techniques and Technological Advances

Energy Science &Engineering, EarlyView.
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee, Mohammad Kohzadipour, Majid Valizadeh, Mohammad Saeedi Kia, Milad Karimian, Mohammad Sharifirad   +5 more
wiley   +1 more source

Recognition accuracy of different features combined with GLCM.

, 2022
Recognition accuracy of different features combined with GLCM.
Yan Hao (113600), Rong Cheng (73572), Shichang Qiao (12475941), Yuchao Hou (5908064), Yanping Bai (4026668), Hongxin Xue (6623213), Guojun Zhang (157554), Li Zhang (8200), Wendong Zhang (1302618)   +8 more
core   +1 more source

AN AUTOMATIC DETECTION OF BREAST CANCER USING EFFICIENT FEATURE EXTRACTION AND OPTIMIZED CLASSIFIER MODEL

ICTACT Journal on Soft Computing, 2022
Image Processing Techniques (IPTs) are widely used in healthcare. IPTs work on images to extract useful information from them. IPTs are effective in the early diagnosis of cancers which helps in their proper treatment. The number of human beings affected
S Vani Kumari, K Usha Rani
doaj   +1 more source

Deep‐Learning Based Contrast Boosting: A Multi‐Center Multi‐Reader Study on Clinical Performance With Standard Contrast Enhanced Brain MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Gadolinium‐based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. Higher doses of GBCAs can improve lesion sensitivity but may have safety implications, particularly in light of recent findings on gadolinium retention and deposition.
Srivathsa Pasumarthi Venkata, Thomas Campbell Arnold, Sonia Colombo Serra, Jeffrey. D. Rudie, Jalal. B. Andre, Ronny Elor, Dayang Wang, Praveen Gulaka, Ajit Sankaranarayanan, Gunter Erb, Greg Zaharchuk   +10 more
wiley   +1 more source

Application of Feature Selection for Identification of Cucumber Leaf Diseases (Cucumis sativa L.)

JISA (Jurnal Informatika dan Sains), 2021
According to data from BPS Kabupaten Jember, the amount of cucumber production fluctuated from 2013 to 2017. Some literature also mentions that one of the causes of the amount of cucumber production is disease attacks on these plants.
Lalitya Nindita Sahenda, Ahmad Aris Ubaidillah, Zilvanhisna Emka Fitri, Abdul Madjid, Arizal Mujibtamala Nanda Imron   +4 more
doaj   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian   +10 more
wiley   +1 more source

Aplikasi Image Retrieval dengan Histogram Warna dan Multi-scale GLCM [PDF]

, 2015
Content-based image retrieval is an image search techniques from large image database by analyzing features of the image. Image feature can be color, texture, shape, and others. This study uses color and texture features when searching image.
Hardy, Hardy, Halim, Arwin, Mytosin, Mytosin   +2 more
core   +1 more source

Integrating CT‐Based Radiomics Analysis With Serum CEA Level to Predict Neoadjuvant Chemoradiotherapy Response in Colorectal Cancer

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Response to neoadjuvant chemoradiotherapy (NACRT) in locally advanced colorectal cancer (CRC) varies widely, and accurately identifying poor responders is crucial for guiding timely treatment modification. This study aimed to develop an integrated predictive model combining radiomics derived from routine radiotherapy non‐contrast planning ...
Sin‐Hua Moi, Ming‐Yii Huang, Shu‐Han Yang, Chien‐Jang Chen, Ying‐Pei Jhong, Tun‐Wei Hsu, Chien‐Chih Ke   +6 more
wiley   +1 more source

Variables tested for GLCM calculations.

, 2018
Variables tested for GLCM calculations.
Joseph M. Wheaton (400702), Daniel Buscombe (4962529), Daniel Hamill (4962526)   +2 more
core   +1 more source

Fast GLCM and Gabor Filters for Texture Classification of Very High Resolution Remote Sensing Images

International Journal of Information and Communication Technology Research, 2015
In the present research we have used gray level co-occurrence matrices (GLCM) and Gabor filters to extract texture features in order to classify satellite images. The main drawback of GLCM algorithm is its time-consuming nature. In this work, we proposed
Fardin Mirzapour, Hassan Ghassemian
doaj