Risk-based approach to the certification of specialists in organizations operating hazardous production facility by Kotelnikov V.V., Yegelskaya E.V., Korotkiy A.A.

“…During many years of statistical observations, the causes of almost one third of all emergencies, accidents, incidents and accidents at hazardous production facilities are organizational measures directly related to the presence of the human factor. The main tasks of the state policy in the field of industrial safety are: improving the requirements, training programs, certification and verification of knowledge of managers and specialists of operating organizations; development and implementation of information technologies that enable interaction with operating organizations, to optimize the acquisition, storage and analysis of information on production control over observance of requirements of industrial safety, systems safety management; introduction of risk-based approach in the organization of Federal state control (supervision) in the field of industrial safety. …”
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Improvement of the mechanism for provision of housing subsidies in modern Ukraine by D.V.

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An integrated approach to library holdings: GOST R 7.0.93-2015 «Library fund. Forming technology» by A. A. Dzhigo, T. V. Maistrovich

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Using artificial intelligence tools for automating the assessment of future computer science teachers' work by Oleksandr M. Spazhev, Oksana V. Klochko

“…The conducted research opens up new prospects for effective improvement of the verification of modified tasks performed by students and the generation of tests for verification. …”
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Intelligent Learning Support System by Eugene Karashevych, Svitlana Sulima, Mariia Skulysh

“…Standard assessment systems (e.g., Moodle testing) are often limited to multiple choice, while the use of semantic analysis allows you to evaluate creative tasks and open-ended answers without manual verification by the teacher. …”
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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

“…Botnets pose a great threat to the Internet, and early detection is crucial for maintaining cybersecurity.However, in the early stages of botnet discovery, obtaining a small number of labeled samples restricts the training of current detection models based on deep learning, leading to poor detection results.To address this issue, a botnet detection method called BT-RN, based on metric learning, was proposed for small sample backgrounds.The task-based meta-learning training strategy was used to optimize the model.The verification set was introduced into the task and the similarity between the verification sample and the training sample feature representation was measured to quickly accumulate experience, thereby reducing the model’s dependence on the labeled sample space.The feature-level attention mechanism was introduced.By calculating the attention coefficients of each dimension in the feature, the feature representation was re-integrated and the importance attention was assigned to optimize the feature representation, thereby reducing the feature sparseness of the deep neural network in small samples.The residual network design pattern was introduced, and the skip link was used to avoid the risk of model degradation and gradient disappearance caused by the deeper network after increasing the feature-level attention mechanism module.…”
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Development of working skills in graphic editors during the training of in the training of design and decoration works’ specialists by Bezugly Andrii, Tytarenko Vitalii

“…The sequence of task at the lessons of practical training of design and decoration works’ specialists that develops image adjustment skills in graphic editors is demonstrated. …”
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A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems by Da Feng, Jianchang Liu

“…Additionally, three environmental selection strategies are designed to correspond to the different tasks in MTGA-CMMO. Extensive experimental verification demonstrates that MTGA-CMMO outperforms other comparative algorithms across multiple test instances and one practical application problem.…”
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A guide to evade hallucinations and maintain reliability when using large language models for medical research: a narrative review by Sangzin Ahn

“…Meta-analyses of human-artificial intelligence collaboration experiments revealed that, although LLMs can augment individual human capabilities, they are most effective in specific contexts allowing human verification. Successful integration of LLMs in medical research requires careful tool selection aligned with task requirements and appropriate verification mechanisms. …”
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The privacy protection of the internet of vehicles resource transaction details based on blockchain. by Jing Chen, Tao Li, Min Huang

“…This resource sharing can get additional computing resources to complete the task, and can be more convenient to complete the computing task quickly. …”
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An extrinsic random-based ensemble approach for android malware detection by Nektaria Potha, V. Kouliaridis, G. Kambourakis

“…In some of the relevant studies, there is substantial evidence that heterogeneous ensembles can provide very reliable solutions, better than any individual verification model. However, so far, there is no systematic study of examining the application of ensemble methods in this task. …”
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Noise-tolerant public-key quantum money from a classical oracle by Peter Yuen

“…Quantum money is the task of verifying the validity of banknotes while ensuring that they cannot be counterfeited. …”
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The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study by Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

“…MethodsThirty licensed pharmacists in the United States performed a web-based simulated pill verification task to determine whether an image of a filled medication bottle matched a known reference image. …”
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Federated edge learning model based on multi-level proxy permissioned blockchain by GE Li’na, LI Haiao, WANG Jie

“…A hybrid strategy was devised to enhance model privacy using secret sharing and differential privacy. A federated task node selection algorithm based on reputation verification was devised to address the problem of zero or extremely poor credibility of edge clients. …”
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Federated edge learning model based on multi-level proxy permissioned blockchain by GE Li’na, LI Haiao, WANG Jie

“…A hybrid strategy was devised to enhance model privacy using secret sharing and differential privacy. A federated task node selection algorithm based on reputation verification was devised to address the problem of zero or extremely poor credibility of edge clients. …”
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Analisis Aspek Perkembangan Remaja terhadap Prokrastinasi Akademik Siswa di SMAN 92 Jakarta by Sekar Aprilia, Melina Lestari

“…After gathering data from the field, the researcher will analyze it using an interactive model by Miles & Huberman, involving data reduction, data presentation, and drawing conclusions/verification. The results of this study indicate that respondents’ perspectives on delaying the start of tasks include (1) lack of understanding of the task; (2) intention to complete the task; and (3) underestimating the task. …”
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POSSIBILITIES OF USING STABLE ISOTOPES FOR IDENTIFICATION OF GEOGRAPHICAL ORIGIN OF MEAT AND MEAT PRODUCTS. A REVIEW by N. A. Gorbunova

“…of geographical origin of raw materials and animal-derived products to exclude a possibility of their falsification is quite a complex task,  which requires searching for reliable criteria of identification that  account for an effect of the geoclimatic and anthropogenic factors.  …”
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Highly-entangled, highly-doped states that are efficiently cross-device verifiable by Janek Denzler, Santiago Varona, Tommaso Guaita, Jose Carrasco

“…We anticipate that these results could have applications in quantum cryptography and verification.…”
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Time-optimal trajectory planning for excavators operating arm based on SA-PSO algorithm by ZHANG Yunyue, ZHAO Zhicheng, YANG Kai, ZHANG Yu, YANG Jiangtao

“…ObjectiveIn view of the problems of unstable operation, low optimization efficiency and falling into local optimum when optimizing the operation trajectory with a single intelligent algorithm, this paper proposes to combine simulated annealing and particle swarm optimization (SA-PSO) to perform optimal time planning for the excavation task trajectory of the excavator operating arm.MethodsFirstly, in the D-H coordinate system, the mechanism diagram of the excavator operating arm is constructed to establish its kinematic model; secondly, the 4-3-3-3-4 piecewise polynomial is used for interpolation, and the SA-PSO algorithm is used to optimize the high-efficiency excavation task trajectory under the constraints of joint velocity and acceleration; finally, under the same operation task, the differential evolution algorithm (DE) and particle swarm optimization algorithm (PSO) are used in turn to obtain the time optimal trajectory.ResultsThe experimental results show that the optimal time trajectory obtained by the hybrid algorithm has shorter operation efficiency and the smallest impact, which can effectively reduce the wear of each joint hydraulic cylinder. …”
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Cooperation-based location authentication scheme for crowdsensing applications by Youliang TIAN, Maoqing TIAN, Hongfeng GAO, Miao HE, Jinbo XIONG

“…Utilizing mobile devices to collect location-related data in crowdsensing has the security problem of a location cheating attack.How to guarantee the quality of these sensitive data has become a challenge.In response to this, a location authentication scheme was proposed based on cooperation to detect malicious users who submit false locations.Firstly, users with mobile devices were used to generate location proofs for each other, and a location verification scheme was designed based on distance bounding protocols for obtaining new information by multiple collisions of the same random number, which ensured the user’s location should be unforgeable and achieved the purpose of improving the quality of collected data.In addition, a location proof cooperator select method based on region division and reputation model was proposed which effectively prevented collusion attack and solved the problem of concentration of equity.Meanwhile, the incentive mechanism based on reputation value and task completion time was designed to effectively improve the location proof cooperator efficiency of task completion.Finally, security analysis and performance evaluation indicate that the scheme has proved to be correctness and secure, and the advantages in computational cost and communication overhead.…”
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