Enhancing Cancer Diagnosis by Ismail Y. Maolood

“…With the aim of improving the effectiveness of cancer diagnosis, this paper introduces a new proposed method, computer-aided diagnosis, utilizing the level-set algorithm based on the edge detection approach for medical image segmentation. …”
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Development of Artificial Intelligence-Based Programs for the Diagnosis of Myocarditis in COVID-19 Using Chest Computed Tomography Data» by Ievgen A. Nastenko, Maksym O. Honcharuk, Vitalii O. Babenko, Mykola I. Lynnyk, Viktoria I. Ignatieva, Vitalii A. Yachnyk

“…The regions of interest were fragments of heart CT images. Texture analysis methods were employed to create diagnostic models. …”
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Optimization of Iterative Algorithms for Focusing Light Through Scattering Media by Yulan Zhou, Xun Li

“…By addressing these two processes separately, accelerating the process of characterizing the TM of the scattering media, and theoretically calculating the phase compensation of the SPM, our optimized algorithm is helpful for fast imaging through scattering media.…”
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Methods and Algorithms for Decision-Making in Agro-Industrial Environmental Management by Olga Ivashchuk, Vyacheslav Fedorov, Zhanat Kenzhebayeva, Oleg Ivashchuk, Moldir Allaniyazova, Kaiyrbek Makulov, Gulnar Kaziyeva

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RETRACTED: Comparative analysis of compression algorithms for four-dimensional light fields by R. G. Bolbakov, V. A. Mordvinov, A. D. Makarevich

“…The purpose of the work is to consider traditional and extended to four-dimensional image compression algorithms, to perform a comparative analysis and determine the most suitable.Methods. …”
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ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

“…The preparation and preliminary processing of images contains the following constituents like detection and localization of area of the person on the image, assessment of an angle of rotation and an inclination, extension of the range of brightness of pixels and an equalization of the histogram to smooth the brightness and contrast characteristics of the processed images, scaling of the localized and processed area of the person, creation of a vector of features of the scaled and processed image of the person by a Principal component analysis (algorithm NIPALS), training of the multiclass SVM-classifier.The provided algorithm of expansion of the training selection is oriented to be used in practice and allows to expand using 3D-models the processed range of 2D – photographs of persons that positively affects results of identification in system of face recognition. …”
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Development of recognition algorithms in the control system of robot drives for plucking tea by Yan Yang, Chicherin I.V., Lijun Zhao, Chanjuan Long, Ignatieva E.A.

“…This study focuses on image recognition of tea Shoots using an object detection algorithm based on a deep learning framework. …”
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SYSTEM FOR DETECTION AND IDENTIFICATION OF POTENTIALLY EXPLOSIVE OBJECTS IN OPEN AREA by Ivan Pakhnуts, Sofiia Khrustalova, Kirill Khrustalev

“…The following methods are used in the work: the mathematical method of constructing cartographic grids, the method of recording infrared radiation, the method of eddy currents, methods and means of data collection and processing. The following results were obtained: the components of the system were selected, the structure, diagram and algorithm of the software tool for the identification of potentially explosive objects in the open area were developed, and the corresponding software was created. …”
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Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm by Mohammad Naebi, Eshaghali Saberi, Sirous Risbaf Fakour, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Somayeh Ansari Moghadam, Elham Bozorgmehr, Nasim Davtalab Behnam, Hamidreza Azimi

“…In recent years, it is possible to implement intelligent processing of images by high efficiency optimization algorithms in many applications especially for detection of dental caries and restoration without human intervention. …”
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Improved sparse domain super-resolution reconstruction algorithm based on CMUT. by Zhiqing Wei, Yanping Bai, Rong Cheng, Hongping Hu, Peng Wang, Wendong Zhang, Guojun Zhang

“…Then, we use the original detail image as the guide image to further process the improved detail image. …”
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Algorithmic support of the system of external observation and routing of autonomous mobile robots by M. V. Egortsev, S. A. K. Diane, N. D. Kaz

“…This technology extracts key points in the video frame and compares them with key points of reference images of robots. Trajectory planning is implemented using Dijkstra’s algorithm. …”
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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

“…Then find Eigen vector by using Jacobs’s method and this represents the highest value in Eigen vector. The algorithm was applied on many groups of multispectral image for the Mapper sensor. …”
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Correlation Filtering Algorithm of Infrared Spectral Data for Dim Target Tracking by Wenjian Zheng, An Chang, Qi Wang, Jianing Shang, Mandi Cui

“…After the image noise reduction processing by the mean shift filtering algorithm, the infrared small and weak target image data model is constructed by using the denoised infrared small and weak target image. …”
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An optimize canny algorithm with traditional machine learning for edge detection enhancement by Russel Lafta, Zainab Sultani

“…Edge detection still represents a major challenge in image processing and computer vision because of the complexity and variability of real-world images. …”
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Barefoot Footprint Detection Algorithm Based on YOLOv8-StarNet by Yujie Shen, Xuemei Jiang, Yabin Zhao, Wenxin Xie

“…This study proposes an optimized footprint recognition model based on an enhanced StarNet architecture for biometric identification in the security, medical, and criminal investigation fields. Conventional image recognition algorithms exhibit limitations in processing barefoot footprint images characterized by concentrated feature distributions and rich texture patterns. …”
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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

“…Deep learning can make the computing model that contains a number of processing layers to learn the data that contains many levels of abstract representation.This kind of learning way in the most advanced speech recognition,visual object recognition,object detection and many other areas,such as biology,genetics and medicine brought significant improvement.Deep learning can find the complex structure of large data,and the convolution neural network as one of the important models of the depth study in the processing of voice,image,video and text,and other aspects of a new breakthrough.It is the use of BP algorithm to guide the machine how to get the error before the layer to adjust the parameters of this layer,so that these parameters are more conducive to the calculation of the model.In view of the shortcomings of traditional BP algorithm,a fast BP algorithm is proposed,which has the disadvantages of slow convergence speed and often falls into local minimum points.The improved convolutional neural network is used to validate the data set MNIST,English character recognition and medical image.The simulation results show the effectiveness of the proposed algorithm.…”
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Improved simultaneous localization and mapping algorithm combined with semantic segmentation model by Xuerong Cui, Shengjie Xue, Juan Li, Shibao Li, Jianhang Liu, Haihua Chen

“…First, in the pre-processing stage, in order to reduce the influence of dynamic features, fully convolutional network model is used to find the dynamic object, and then the output image is masked and fused to obtain the final image without dynamic object features. …”
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Endocranial Morphology in Metopism by Silviya Nikolova, Diana Toneva, Gennady Agre

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The Fast Discrete Tchebichef Transform Algorithms for Short-Length Input Sequences by Aleksandr Cariow, Marina Polyakova

“…At present, DTT is widely applied in signal processing, image compression, and video coding. The review of the articles related to fast DTT algorithms has shown that such algorithms are mainly developed for input signal lengths 4 and 8. …”
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Smart Agriculture: Predicting Diseases in olive using Deep Learning Algorithms by Rahman F., Raghatate Kapesh Subhash

“…In this study, olive tree diseases are managed by improving prediction and management using a deep learning algorithm, with the aim of efficiency and accuracy of the process. …”
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