Active Traffic Sensor Location Problem for the Uniqueness of Path Flow Identification in Large-Scale Networks by Ahmed Almutairi, Mahmoud Owais

“…Therefore, finding an efficient solution algorithm for large-scale networks is challenging. …”
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A METHOD OF ELIMINATING MALICIOUS PERTURBATIONS EMBEDDED BY L0-OPTIMIZED ATTACKS by Dmitry A. Yesipov, Nikita S. Sulimenko, Ilya Yu. Popov

“…Transformations such as bilinear interpolation and Telea algorithm were considered to restore modified pixels. …”
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The Distribution Pattern of Machining Errors on Woodworking Machine Tools by Pylypchuk M. I., Dziuba L. F., Mayevskyy V. O., Kopynets Z. P., Taras V. I.

“…It allows for determining the main parameters of the error distribution law and evaluating the operating conditions for the machine tool according to the technological accuracy criterion. …”
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HGAPSO-Based Third Order-SMC, ST-SMC, and SMC Strategy for AAV Control: A Comparative Analysis by Dawit Kefale Wassie, Lebsework Negash Lemma, Abrham Tadesse Kassie

“…Therefore, a hybrid type of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), HGAPSO, has been formulated to find the best controllers’ parameters. …”
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FORENSIC-AUDIT AS AN IMPERATIVE OF ECONOMIC SECURITY AND DEVELOPMENT OF THE COMPANY IN THE CONDITIONS OF GLOBAL TRANSFORMATIONS by K. Nazarova, M. Nezhyva, T. Lositska, V. Miniailo, N. Novikova

“…The classical methods and algorithm of financial investigation are outlined and it is noted that they may differ depending on the purpose for which forensics is conducted, the industry in which the company operates, and others. …”
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Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation by Guoqing Wu, Shengbin Luo Wang, Yibin Liu, Ping Wang, Yongzhen Li

“…Ship contour extraction is vital for extracting the geometric features of ships, providing comprehensive information essential for ship recognition. The main factors affecting the contour extraction performance are speckle noise and amplitude inhomogeneity, which can lead to over-segmentation and missed detection of ship edges. …”
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An approach to transport infrastructure design using a two-step method based on modified ant colony optimization by Mariusz Korzeń, Maciej Kruszyna

“…The main purpose of the paper is to develop a tool to effectively support the transport infrastructure planning process. …”
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EPIDEMIOLOGICAL AND THERAPEUTIC ISSUES OF PSORIATIC DISEASE by V.H. Kravchenko, Ya.O. Yemchenko, A.V. Kravchenko, A.M. Dashchuk, M.O. Dudchenko, V.I. Kamieniev

“…On the basis of the obtained data, we outlined the main tasks of the dermatovenerological branch of our country in overcoming this difficult situation. …”
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Short Term Photovoltaic Power Combination Prediction Method Based on Similar Day Selection and Data Reconstruction by Qingbin CHEN, Genghuang YANG, Liqing GENG, Juan SU, Jingsheng SUN

“…Firstly, clustering analysis of photovoltaic power is performed using the kernel fuzzy C-means algorithm, and the main influencing features are extracted through the maximum information coefficient. …”
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Robotic irrigation complex for crop cultivation in irrigated areas by M. G. Zagoruiko, D.  A. Soloviev, N. F. Ryzhko, S. N. Ryzhko

“…(Results and discussion) The research has validated the design and main components of a robotic irrigation system for crop cultivation. …”
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Integration of SimWeight and Markov Chain to Predict Land Use of Lavasanat Basin by M S. Mirakhorlo, M. Rahimzadegan

“…Among various introduced methods, similarity-weighted instance-based machine learning algorithm (SimWeight) and Markov-chain with lower complexity and proper performnce are frequently used. …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…The results indicated that the main morphological features for the identification of Daiqu large yellow croaker were total length/body length, total length/head length, total length/ caudal peduncle length, body length/head length and caudal peduncle length/caudal peduncle height. …”
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Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach by Zeyue Li, Jianzhao Bi, Yang Liu, Xuefei Hu

“…Ozone (O3) is a significant contributor to air pollution and the main constituent of photochemical smog that plagues China. …”
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Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in Türkiye... by Yasemin Ayaz Atalan, Hasan Şahin, Abdulkadir Keskin, Abdulkadir Atalan

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”
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Integrated Design and Experiment of a Micro-Vibration Isolation and Pointing Platform for Large Space Optical Payloads Based on Voice Coil Motors by Yilin Guo, Jian Zhou, Zehao Gao, Bo Feng, Minglong Xu

“…Furthermore, the PID control algorithm exhibits enhanced isolation performance at low frequencies and facilitates directional tracking of target signals.…”
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Image Coding Based on Contourlet Transformation by Sahlah Abd Ali Al-hamdanee, Eman Abd Elaziz, Khalil Alsaif

“…The color images are acquired into the algorithm, to be converted into three slices (the main colors of the image), to be disassembled into their coefficients through contourlet transformations and then some high frequencies in addition to the low frequency are elected in order to reconstruct the image again. …”
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Needle detection and localisation for robot‐assisted subretinal injection using deep learning by Mingchuan Zhou, Xiangyu Guo, Matthias Grimm, Elias Lochner, Zhongliang Jiang, Abouzar Eslami, Juan Ye, Nassir Navab, Alois Knoll, Mohammad Ali Nasseri

“…Five convolutional neural networks with different architectures were evaluated. The main differences between the architectures are the amount of information they receive at the input layer. …”
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Diagnostics of retinal pathologies by optical coherence tomography images using artificial intelligence tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva

“…The retinal pathology recognition system is based on a trained neural network VGG16 (developed by a visual geometry group of Oxford University).Results. The main result of the research is the development of an algorithm, implemented on Python, for the diagnosis of retinal diseases from OCT images based on convolutional neural network AI tool. …”
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SafeTrack: Secure Tracking Protocol for Mobile Sensor Nodes in Unstable Wireless Sensor Networks by Ali Adnan Al-Khazraji, Fatimah Abdulridha Rashid

“…To the best of our knowledge, the proposed framework addresses the main challenges, including dynamic network topology, energy constraints, and Sybil and impersonation attacks. …”
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Domain Adaptation for Satellite-Borne Multispectral Cloud Detection by Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin

“…In this paper, we address the domain gap problem in the context of onboard multispectral cloud detection. Our main contributions lie in formulating new domain adaptation tasks that are motivated by a concrete EO mission, developing a novel algorithm for bandwidth-efficient supervised domain adaptation, and demonstrating test-time adaptation algorithms on space deployable neural network accelerators. …”
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