Scheduling in Targeted Transient Surveys and a New Telescope for CHASE by Francisco Förster, Nicolás López, José Maza, Petr Kubánek, G. Pignata

Get full text

Deep Learning for Plastic Waste Classification System by Janusz Bobulski, Mariusz Kubanek

“…The plastic waste may be automatically chosen on a transmission belt for waste removal by using methods of image processing and artificial intelligence, especially deep learning, to improve the recycling process. …”
Get full text

Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…Classification models were applied using the KNIME platform and the WEKA tool to analyze students' performance in three courses: database technology, artificial intelligence, and image processing in the ICT degree program. The results showed that the use of decision trees can effectively classify students' performance and determine the success and failure rates. …”
Get full text

Two-Cloud-Servers-Assisted Secure Outsourcing Multiparty Computation by Yi Sun, Qiaoyan Wen, Yudong Zhang, Hua Zhang, Zhengping Jin, Wenmin Li

Get full text

Study on the Effect of Amygdales on Mechanical Characteristics of Basalt Using the Combined Finite-Discrete Element Method by Shirui Zhang, Shili Qiu, Ping Li, Yongyuan Kou, Pengfei Kou

“…Therefore, digital image processing (DIP) was first utilized to build a heterogeneous model (HM) to calibrate against the laboratory test results. …”
Get full text

Secure UAV-Based System to Detect Small Boats Using Neural Networks by Moisés Lodeiro-Santiago, Pino Caballero-Gil, Ricardo Aguasca-Colomo, Cándido Caballero-Gil

“…The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned objects through patterns without depending on where they are located. …”
Get full text

In-pixel foreground and contrast enhancement circuits with customizable mapping by Md Rahatul Islam Udoy, Md Mazharul Islam, Elijah Johnson, Ahmedullah Aziz

“…Abstract This paper presents an in-pixel contrast enhancement circuit that performs image processing directly within the pixel circuit. The circuit leverages HyperFET, a hybrid device combining a MOSFET and a phase transition material (PTM), to enhance performance. …”
Get full text

Urban Road Change Detection using Morphological Processing by Ei Phyu Sin Win

“…The research focused on finding ways to use morphological image processing primarily. As an application area, we use National Aeronautics and Space Administration imagery obtained from 2009-2020 in Monywa, Upper Myanmar to find out how the roads have been developed and how the city has been developed. …”
Get full text

A Comparative Study of Three Resolving Parameters of Graphs by Hafiz Muhammad Ikhlaq, Hafiz Muhammad Afzal Siddiqui, Muhammad Imran

“…The parameters computed in this article are very useful in pattern recognition and image processing. A number df,w=mindw,t,dw,s is referred as distance between f=ts an edge and w a vertex. dw,f1≠dw,f2 implies that two edges f1,f2∈E are resolved by node w∈V. …”
Get full text

Dimension Estimation Using Weighted Correlation Dimension Method by Yuanhong Liu, Zhiwei Yu, Ming Zeng, Shun Wang

“…Dimension reduction is an important tool for feature extraction and has been widely used in many fields including image processing, discrete-time systems, and fault diagnosis. …”
Get full text

Visualization of Snow Cover Changes in the Greater Caucasus Mountains Using Integrated Multi-Sensor Image Fusion by Imrani Zaur, Rasouli Aliakbar

“…The main goal of the current research was to visualize recent snow cover changes in the parts of the Greater Caucasus Mountains along Shahdag, Bazarduzu, and Tufandag months, using multi-sensor and multi- spectral satellite image processing. Accordingly, accessible satellite imagery from the valid sites was obtained, and a few necessary pre-processing operations, such as atmospheric and radiometric corrections, were subjected to available Sentinel-2 and Landsat (8 and 9) images from 2017 to 2023, adjusted to annual, spring-summer months. …”
Get full text

Automatic Detection of Sports Injuries Based on Multimedia Intelligent 3D Images by Chunmei Liu, Longhui Cao

“…In the investigation of the parts of students’ sports injuries, it was concluded that the injury rate of the students’ ankle joints was the highest; in the investigation of the types of sports injuries among students, it was concluded that students were more likely to suffer from joint sprains; in the project investigation of students’ sports injuries, it was concluded that students were more prone to sports injuries in ball games with a large amount of exercise; in the investigation of the causes of students’ sports injuries, it was concluded that the main reasons for students’ sports injuries were physical insufficiency and a bad venue environment; in terms of the performance evaluation of the sports injury detection system, it was concluded that the accuracy, effectiveness, authenticity, and efficiency of the sports injury automatic detection system based on multimedia intelligent three-dimensional image processing technology had been improved to different degrees compared with the traditional sports injury detection methods. …”
Get full text

Fragmentation Pattern and Removal Mechanism of Concrete Subjected to Abrasive Water Jet Impact by Jialiang Liu, Yujie Zhu, Yongzhi Xue, Hao Sun

“…Based on computed tomography (CT), scanning electron microscopy (SEM), and image processing technology, this paper studied the fragmentation pattern and removal mechanism of concrete under AWJ impact. …”
Get full text

Unveiling the Complexity of Medical Imaging through Deep Learning Approaches by Javaid Iqbal Bhat, Novsheena Rasool

“…Moreover, an exhaustive exploration encompasses deep learning classification approaches, procedural aspects of medical image processing, as well as a thorough examination of key features and characteristics. …”
Get full text

Porous Blasting Morphology and Resistivity Response Characteristics of Soft Coal Seam by Wenwang Yang, Sanlin He, Taotao Zhao, Chenying Ge

“…The fracturing characteristics of multi-holes blasting in soft coal seam were analyzed quantitatively by using the multi-holes model blasting experiment of soft coal seam and digital image processing (DIP) and electrical resistivity tomography (ERT) techniques, and the electrical resistivity response rules before and after blasting were obtained. …”
Get full text

A Laboratory Investigation into the Effects of Coarse Aggregate Angularity on Performance of WMA by Jie Ji, Peng Zhai, Wenhua Zheng, Zhi Suo, Ying Xu

“…Five different CAAs were fabricated using Los Angeles abrasion test, and the digital image processing method was used to identify the CAA. Five mixes with different combinations of CAA and Sasobit-modified asphalt binder were prepared according to the Marshall mix design procedure. …”
Get full text

Diegif: An efficient and secured DICOM to EGIF conversion framework for confidentiality in machine learning training by Abdullah Al Siam, Md Maruf Hassan, Md Atikur Rahaman, Masuk Abdullah

“…This paper illustrates the framework’s potential to medical image processing, secure storage, and AI-driven diagnostic functions in healthcare.…”
Get full text

The evolution of green spaces within institutional plots in Yeka Sub-City, Addis Ababa, Ethiopia by Utant Debebe, Utant Debebe, Alazar Assefa

“…This study employed Google Earth imagery and Exploratory Spatial Data Analysis (ESDA) to investigate the changes in urban green coverage within institutional plots in Yeka Sub-City, Addis Ababa, over a twenty-year period from 2003 to 2023. Subsequent image processing and analyses were conducted using GIS and ERDAS Imagine software. …”
Get full text

Study on Void Structure Reconstruction of Asphalt Mixture by X-Ray Computed Tomography and Otsu’s Method by Jiantong Zhang, Jun Yang, Tiejun Liu, Rongxing Cai, Rui Yang

“…The air void distributions of obtained CT images were analyzed using ring blocking segmentation combining Otsu’s method, which provided an accurate estimate of air voids in asphalt mixtures. The image processing results showed that air void distribution was not uniform in the specimens; higher air void concentrations were found at the top and bottom of the specimen, and lower, in the rest of the sample depth. …”
Get full text

AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…The main aim of our work was to develop an efficient scheme of automatic counting cell nuclei based on advanced image processing methods: directional filtering, adaptive image binarization and mathematical morphology. …”
Get full text