Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae by Hegazy Rezk, Ali Alahmer, Abdul Ghani Olabi, Enas Taha Sayed

“…Subsequently, the red-tailed hawk algorithm (RTH) is used to determine the optimal values for the process parameters, corresponding to maximum hydrogen yield. …”
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OPTIMIZATION OF THE MEASURING BASE OF THERMAL TAG FLOW METERS by M. S. Gayazov, R. K. Yarullin, D. V. Kosmylin

“…The work was carried out in conditions of single-phase and two-phase fluid flow. The algorithm of data processing for constructing distribution curves of the flow profile with output to the total low rate has been developed. …”
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Exploring potential therapeutic targets for small cell lung cancer based on transcriptomics combined with Mendelian randomization analysis by Zhicheng Liao, Pengcheng Jia, Yifan Li, Zhihui Zheng, Jizhou Zhang

“…In addition, the CIBERSORT algorithm was applied to assess the level of immune cell infiltration in SCLC and to analyze the correlation between CEGs and immune cells. …”
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Мodelling of Passive Coupling of Battery Units of Hybrid Energy Storage System by K. V. Dobrego, I. A. Koznacheev, V. L. Charvinski

“…The modes of operation of a hybrid energy storage system are modeled both for simple parallel connection and for switching blocks according to a threshold algorithm. It is demonstrated that in order to equalize the discharge rate of the main and additional units, it is necessary to coordinate the capacity of the ESS, the degree of hybridization, the type of load and the electrical parameters of the batteries, which is impossible without modeling the system. …”
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Updating parameters of an information model for road construction flow in work development project by T. V. Bobrova

“…The article reflects the main trends and problems in the development of information modelling technology in the Russian road industry. …”
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A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…The proposed model consists of three main stages. First, critical physical features relevant to WPD are identified using random forest (RF), effectively eliminating data redundancy and enhancing prediction efficiency. …”
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Mathematical Modeling of the Combined Heat Supply System of a Solar House by G. N. Uzakov, V. L. Charvinski, U. Kh. Ibragimov, S. I. Khamraev, B. I. Kamolov

“…The heat supply of the experimental solar house mainly uses solar energy, and when the heat supply load exceeds this load, the traditional boiler device is used. …”
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Investigation of Spatio-Temporal Simulation of Mining Subsidence and Its Determinants Utilizing the RF-CA Model by Jikun Xu, Chaode Yan, Baowei Zhang, Xuanchi Chen, Xu Yan, Rongxing Wang, Binhang Yu, Muhammad Waseem Boota

“…The results show that the depth–thickness ratio (0.242), distance to the working face (0.159), distance to buildings (0.150), and lithology (0.147) play main roles in the development of subsidence. Meanwhile, the model can effectively simulate the spatio-temporal changes in mining subsidence. …”
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An integrated analytic hierarchy process and technique for order preference by similarity to ideal solution approach for solar site selection in Punjab (India): Evaluating potentia... by Tanu Sharma, Amit Sarin

“…AHP method was applied to find out the relative weights of the evaluation criteria. The TOPSIS algorithm was applied to rank the alternatives. The experimental results showed that Bathinda was the most appropriate place, followed by Patiala, Amritsar, Ludhiana, and Jalandhar. …”
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Prospects for the development of adaptive medical immunology by I. V. Nesterova, N. S. Tataurschikova

“…The aim of adaptive medical immunology is to develop an algorithm for complex immunodiagnostics and to create integrative interdisciplinary programs for correction immune system, including immunotherapeutic approaches that affect acquired disorders and restore an adaptive activities of the immune system. …”
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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

“…The K-MGCMLD model is divided into four main steps. The first step is the construction of a heterogeneous graph. …”
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Entropy-driven multi agent deep reinforcement learning for resilient distribution networks: coordinating MESS and microgrids by Changchun Cai, Fenglu Gan, Yong Cui, Bo Li, Shixi Hou

“…In extreme disasters where severe main grid failures lead to widespread power outages in distribution networks, rapid critical load restoration (CLR) becomes crucial for enhancing power supply reliability. …”
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Modes in electrical systems with mobile AC traction substations by I. V. Domanskiy

“…For these three phase mode supply network is necessary to use 1st algorithm, i.e. taking into account the amount of electricity as the energy in all phases. …”
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Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

“…In a WSN with a 100 m² area, we achieved a maximum coverage rate of 98.45% and algorithm convergence in 143 iterations, and the execution time was limited to 2.85 s. …”
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Degree-Constrained k-Minimum Spanning Tree Problem by Pablo Adasme, Ali Dehghan Firoozabadi

“…Our numerical results indicate that the proposed models and algorithms allow obtaining optimal and near-optimal solutions, respectively. …”
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Comparative performance of deep learning architectures for diabetic peripheral neuropathy detection using corneal confocal microscopy: a retrospective single-centre study by Yuyang Deng, Wenqu Chen, Weihuang Xu, Jianzhang Hu

“…Objectives This study aims to develop a deep learning algorithm (DLA) using the InceptionV3 architecture for effective diabetic peripheral neuropathy (DPN) screening via corneal confocal microscopy (CCM) images.Design Retrospective study.Setting Ophthalmology Centre of General Hospital.Participants 127 participants enrolled: 33 healthy participants, 57 diabetic patients with DPN (DPN+) and 37 diabetic patients without DPN (DPN−).Interventions Not applicable.Main outcome measures The CCM image dataset, which was collected from participants (with five images per eye), was randomly divided into training, validation and test subsets in a 7:1:2 ratio. …”
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Problems of legal regulation of start-ups in Ukraine by I. V. Lysenko, А. M. Lysenko, L. V. Perevalova

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A cooperative intrusion detection system for internet of things using fuzzy logic and ensemble of convolutional neural networks by Xiongwei Qiu, Lianzhi Shi, Pengtong Fan

“…Our proposed method consists of two main phases. In the first phase, the network decomposition and deployment of intrusion detection models are performed. …”
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Back pain in therapeutic practice by N. A. Varavin, А. L. Vertkin

“…The general principles of the treatment of back pain include informing the patient about the main causes of back pain, the role of an active lifestyle and dosed physical activity, avoiding prolonged bed rest. …”
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Possibilities of using the digital currency of the central bank in concessional lending to the agro-industrial complex by D. A. Korobeynikov

“…The main positive effects from the use of the Central Bank of Central Banks are associated with an increase in the transparency of payments and the possibility of automating the control of target, cost and procedural parameters of transactions, accelerating the procedures for passing loan applications, and increasing the diffusion of modern digital innovations into the agricultural sector of the economy. …”
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