Generating approximate ground states of strongly correlated quantum many-body systems through quantum imaginary time evolution by Michael Kaicher, Florian Dommert, Christopher Wever, Maximilian Amsler, Michael Kühn, QUTAC Material Science Working Group

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Brain Magnetic Resonance Imaging Radiomic Signature and Machine Learning Model Prediction of Hepatic Encephalopathy in Adult Cirrhotic Patients by Gianvincenzo Sparacia, Giulia Colelli, Giuseppe Parla, Giuseppe Mamone, Luigi Maruzzelli, Vincenzina Lo Re, Federica Avorio, Roberto Miraglia, Anna Pichiecchio

“…The multilayer perceptron algorithm classified patients versus controls with an accuracy of 100%. …”
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A temporal fusion method for modeling the rate of penetration during deep geological drilling by Yang ZHOU, Chengda LU, Min WU, Xin CHEN, Ningping YAO, Haitao SONG, Youzhen ZHANG

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Method for counting coal mine drill pipes based on YOLOv11_OBB by ZHENG Ran, ZHANG Fukai, YUAN Guan, ZHANG Yanmei, WANG Shaopu, ZHANG Qiang, ZHAO Shan, WANG Dengke, HUO Zhanqiang, ZHANG Haiyan, HE Heng

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Sustainable energy: Advancing wind power forecasting with grey wolf optimization and GRU models by Zainab Al-Ibraheemi, Samaher Al-Janabi

“…Application challenges involve reducing large datasets, grouping them into intervals, and evaluating performance using different compression measures. The main research questions addressed include the suitability of the GWO algorithm for dataset reduction in terms of dimensions (features and records) and the effectiveness of combining GWO with deep learning, specifically GRU, for enhanced prediction results. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…(Mosaic Segmentation), an algorithm that exploits deep learning and image segmentation techniques; the methodology combines U-Net 3 Network with the Watershed algorithm. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

“…Historically, these algorithms were developed independently by different research groups, primarily based on central processing unit (CPU) architecture for small-scale data processing. …”
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AUTOMATIZATION OF DECISION MAKING SUPPORT OF EDUCATIONAL ONTOLOGY’ DEVELOPMENT BASED ON INTERMEDIATE MODELS by Galina O. Artemova, Nataliya F. Gusarova, Igor Yu. Kotciuba

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ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA by Nazla Nurmila, Aris Sugiharto, Eko Adi Sarwoko

“…Back Propagation Neural Network (BPNN) is a type of algorithm in Neural Network that can be use for Javanese alphabets character recognition. …”
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Neural network decoding of the block Markov superposition transmission by Qianfan WANG, Sheng BI, Zengzhe CHEN, Li CHEN, Xiao MA

“…A neural network (NN)-based decoding algorithm of block Markov superposition transmission (BMST) was researched.The decoders of the basic code with different network structures and representations of training data were implemented using NN.Integrating the NN-based decoder of the basic code in an iterative manner,a sliding window decoding algorithm was presented.To analyze the bit error rate (BER) performance,the genie-aided (GA) lower bounds were presented.The NN-based decoding algorithm of the BMST provides a possible way to apply NN to decode long codes.That means the part of the conventional decoder could be replaced by the NN.Numerical results show that the NN-based decoder of basic code can achieve the BER performance of the maximum likelihood (ML) decoder.For the BMST codes,BER performance of the NN-based decoding algorithm matches well with the GA lower bound and exhibits an extra coding gain.…”
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Scheme of extending elliptic curve method to three phases by Guiwen LUO

“…Elliptic curve method for integer factorization (ECM) is one of the most popular integer factorization algorithms,and it was firstly proposed by Lenstra in 1985.The original ECM contained just first phase.Since its invention,researches about the algorithm and implementation emerged up,among which the most important improvement is the extension to two phases proposed by Brent and Montgomery.This improvement tremendously strengthened ECM's capacity and efficiency.Elliptic curve method was extended to three phases.Extension method is kind of like “mixing together” the first phase and second phase.Compared to the best current two phases ECM,the new algorithm shows 2 advantages.First,under the same factorization parameters,the proposed algorithm improves the probability of finding out prime factor at the expense of negligible increasement of time.Second,when searching the same prime factor,the proposed algorithm can utilize smaller “smoothness parameters”.…”
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MEDULLARY THYROID CARCINOMA by V. S. Medvedev, P. A. Isayev, A. A. Ilyin, D. Yu. Semin, V. V. Polkin, D. N. Derbugov, S. V. Vasilkov

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FEATURES OF COMPARATIVE APPROACH TO ASSESSMENT OF THE ACQUIRED COMPANY by Olga A. Romanenko

“…The technique of an assessment of business within the comparative approach based on four consecutive stages is considered in the article. As a result of research the contents and an analysis algorithm of each stage are in detail stated for objectivity of receiving the effective final result. …”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…Our results show that the SAC algorithm achieves faster convergence speed and better solutions than existing state-of-the-art methods, such as the twin delayed deep deterministic policy gradient (TD3) and the deep deterministic policy gradient (DDPG) algorithms. …”
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Intelligent beehive monitoring system based on internet of things and colony state analysis by Yiyao Zheng, Xiaoyan Cao, Shaocong Xu, Shihui Guo, Rencai Huang, Yingjiao Li, Yijie Chen, Liulin Yang, Xiaoyu Cao, Zainura Idrus, Hongting Sun

“…With the development of the IoT and computer vision algorithms, we hope to provide an automated and efficient system to meet the above challenges. …”
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Instantaneously Impulsive Stabilization of Mittag–Leffler Numerical Chua’s Oscillator by Huizhen Qu, Tianwei Zhang, Jianwen Zhou

“…The Euler difference approach has become a prevalent tool in the research of integral order differential equations. …”
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The Denitration Strategy of Predictive Dynamic Matrix Control (DMC) Combined with BP Neural Network in Fossil Fuel Power Plant by Tiankun WANG

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Infrared thermography study of the fatigue crack propagation by A.Yu. Fedorova, M.V. Bannikov, M.V. Bannikov, O.A. Plekhov, E.V. Plekhova

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Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method by Nenik Estuningsih, Fatmawati Fatmawati

“…The modified Kalman filter method is a method that collaborates the Kalman filter estimation algorithm with the model order reduction method. The model order reduction method used in this research is the LMI (Linear Matrix Inequality) method because the model reduction error using the LMI method is the smallest error compared to the reduction error using the Balanced Truncation method or the Singular Pertrubation Approximation method. …”
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Key technologies of robotic arm motion control based on compound control and improved SCSO. by Kuo Hu

“…To meet the high-precision motion control demand, this study proposes a robotic arm motion control technology integrating composite control and an improved sandcat swarm optimization algorithm. The algorithm is enhanced by introducing the Iterative chaotic iterative mapping and sparrow warning mechanism. …”
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