Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

“…The development of methods and algorithms for the detection and classification of this disease, the automation of this process are the actual and costeffective goals.The article focuses on the classification of the stages of diabetic retinopathy using neural networks based on human retinal images. …”
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Object Ontologies as a Priori Models for Logical-Probabilistic Machine Learning by D. N. Gavrilin, A.V. Mantsivoda

“…The combination of LPML and object ontologies is capable of solving the forecasting problems, the tasks of automated control, problem detection, decision making, and business process synthesis. …”
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Distributed RL-Based Resource Allocation and Task Offloading for Vehicular Edge of Things Computing by Ghada Afifi, Bassem Mokhtar

“…We propose a Deep Reinforcement Learning (DRL)-based solution to solve the formulated problem in real-time adapting to the dynamic network conditions. …”
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Prediction of Anemia from Multi-Data Attribute Co-Existence by Talal Qadah, Asmaa Munshi

“…Therefore, this study has reevaluated the claims within the domain of detecting and predicting anemia with the best machine learning algorithm. …”
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Experimental Study of Trajectory Features for the Recognition of Low-Flying Low-Speed Radar Targets Using Passive Coherent Radar Systems by V. L. Dao, A. A. Konovalov, M. H. Le

“…In a search for new solutions to the problem of recognizing small UAVs, trajectory features can be used.Aim. …”
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Modern aspects of management of patients with polycystic ovary syndrome by N. V. Avramenko, O. V. Kabachenko, D. Ye. Barkovskyi, К. V. Sierykh

“…The optimal diagnostic algorithm for PCOS at stage 1 presumes determining free testosterone index (total testosterone, sex hormone-binding globulin, free testosterone index). …”
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Real-Time Common Rust Maize Leaf Disease Severity Identification and Pesticide Dose Recommendation Using Deep Neural Network by Zemzem Mohammed Megersa, Abebe Belay Adege, Faizur Rashid

“…Maize is one of the most widely grown crops in Ethiopia and is a staple crop around the globe; however, common rust maize disease (CRMD) is becoming a serious problem and severely impacts yields. Conventional CRMD detection and treatment methods are time-consuming, expensive, and ineffective. …”
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ANALISIS PROSES BERPIKIR KOMPUTASI SISWA PADA MATERI BARISAN ARITMETIKA BERDASARKAN KECERDASAN MAJEMUK by Rosevita Melati, Toto Nusantara, Mochammad Hafiizh

“…The analysis results revealed that the computational thinking process of the three student groups began with dissecting the problem. Visual-spatial intelligence students excelled at pattern detection throughout the algorithmic thinking level. …”
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3D Reconstruction and Measurement Analysis of a Dense Point Cloud Fused with a Depth Image by Yujing Qiao, Ning Lv, Siyuan Zhang

“…Our method provides technical support for complex surface topography detection and has industrial practical significance.…”
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A Method of Complex Disclosure Risk Assessment for Microdata by Andrzej Młodak

“…To some extent, this proposal refers to the Special Uniques Detection Algorithm (SUDA) and may function as its extension toward computing overall risk that takes into account both categorical and continuous variables. …”
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Research on control strategies for joint point tracking in coordinated motion of dual-redundant robots by GAO Lin, ZHANG Zhiyuan, WANG Shaofeng, SHI Yanqing, YU Pengwei, LIANG Chaohui

“…The mapping of each node position on the closed chain motion path of the dual-redundant robot system was realized based on the time interpolation.ResultsThe test results show that the maximum error between the real-time tracking point parameters of each joint and the actual node position parameters of the dual-redundant robot system under arbitrary attitude is 0.465 mm, which realizes the virtual and real interactive trajectory mapping, and provides accurate position data for the application of collision detection algorithm in the actual dual-redundant robot system.…”
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Artificial Intelligence Application Open Platform for Rail Transit by LIN Jun, LIU Yue, WANG Quandong, YOU Jun, DING Chi, LIU Ren

“…In order to solve these problems, this paper proposes an AI open platform for rail transit. …”
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Designing natural gesture interaction for archaeological data in immersive environments by Niccolò Albertini, Andrea Brogni, Riccardo Olivito, Emanuele Taccola, Baptiste Caramiaux, Marco Gillies

“…New technologies may be able to help in this process and trying to solve research related problems needs innovative solutions. In this paper, we describe the whole process for the design and development of a prototype application that uses an Immersive Virtual Reality system to acces archaeological excavation3Ddata through the Gesture Variation Follower (GVF) algorithm. …”
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The sustainable energy development dilemma in European countries: a time-series cluster analysis by Víctor Dugo, David Gálvez-Ruiz, Pilar Díaz-Cuevas

“…The main objective of this paper is to propose a new country classification guide to assess whether the framework can also be used by authorities worldwide to provide a more detailed perspective of the current situation, thereby enabling the detection of problems, the setting of objectives, a better understanding of the results, and the identification of optimal policy actions. …”
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Motion Control and Obstacle Avoidance of Mobile Robot with Mecanum Wheels by Hassan M. Alwan, Volkov Andrey Nikolavich, Ali Shbani, Kochneva Olga Vladmirovna

“…Moreover, a new algorithm was developed based on WMR center position (CP), provided by the control system or distances between the obstacle and WMR detected by sensors. …”
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Research Progress in Methods to Estimate High-resolution Direction of Arrival by Wei ZHAO, Xuan LI, Chengpeng HAO

“…This paper first summarizes the traditional algorithms based on beamforming for narrowband target direction estimation relying on uniform linear arrays and emerging algorithms in the past decade. …”
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MangiSpectra: A Multivariate Phenological Analysis Framework Leveraging UAV Imagery and LSTM for Tree Health and Yield Estimation in Mango Orchards by Muhammad Munir Afsar, Muhammad Shahid Iqbal, Asim Dilawar Bakhshi, Ejaz Hussain, Javed Iqbal

“…In the second stage, associated data such as the trees’ age, variety, canopy volume, height, and weather data were combined with predicted health classes for yield estimation through a decision tree algorithm. Three mango-specific indices, namely the Mango Tree Yellowness Index (MTYI), Weighted Yellowness Index (WYI), and Normalized Automatic Flowering Detection Index (NAFDI), were developed to measure the degree of canopy covered by flowers to enhance the robustness of the framework. …”
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COUGH IN CHILDREN: DIAGNOSTICS AND MANAGEMENT by K. S. Volkov, L. L. Nisevich, L. S. Namazova-Baranova, E. G. Filyanskaya, A. A. Alekseeva, V. A. Barannik

“…Despite the constant interest of the specialists to the problem of cough, it is still very topical, as the causes of cough are continued to study, the diagnostics algorithms to its detection and approaches to its treatment are defined. …”
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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification by Mohammed Al-Shalabi, Mohammed A. Mahdi, Malik Braik, Mohammed Azmi Al-Betar, Shahanawaj Ahamad, Sawsan A. Saad

“…Although Convolutional Neural Networks (CNNs) and meta-heuristic algorithms have proven effective in solving real-world problems, their use in low-contrast pavement crack images is worth investigating. …”
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Optimizing skin cancer screening with convolutional neural networks in smart healthcare systems. by Ali Raza, Akhtar Ali, Sami Ullah, Yasir Nadeem Anjum, Basit Rehman

“…Algorithms applied in convolutional neural network (CNN) could lead to an enhanced speed of identifying and distinguishing a disease, which in turn leads to early detection and treatment. …”
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