Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan by Alisher Abdullaev

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Algorithmization of the problem of videoscopic evaluation of the steel ropes state by Panfilov A.V., Yusupov A.R., Gavrikov M.M., Sinetsky R.M.

“…The paper presents the results of preliminary testing of the developed algorithms and programs, the composition and methods for determining the main indicators for evaluating their effectiveness are proposed.…”
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Algorithms for Increasing the Accuracy of Solid-State Wave Gyroscopes by K. A. Smirnov, E. A. Zarubailo

“…The accuracy of measurements performed by inertial navigation instruments can be increased by developing effective algorithms, which fact determines the relevance of the present study. …”
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Algorithm of the diagnosis and treatment of enteral insufficiency syndrome in peritonitis by E. A. Korymasov, S. A. Ivanov, M. V. Kenarskaya

“…RELEVANCE. The early diagnosis and correction of enteral insufficiency syndrome influence the treatment outcomes in patients with abdominal sepsis and multiple organ failure.The OBJECTIVES was to improve the effectiveness of diagnosis and correction of enteral insufficiency syndrome in patients with generalized peritonitis using the express assessment scale of the severity of enteral insufficiency and the treatment algorithm based on this.MATERIALS AND METHODS. …”
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Patentability of Computer Program Algorithms in the G20 States by A. Matveev, E. Martyanova

“…However, copyright law does not protect the interests of the copyright holder from borrowing ideas and algorithms which often have agreat commercial value. …”
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Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…In the first level, relevant features were identified using multiple bootstrapped training sets. …”
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Equiaxed growth of interacting Al–Cu dendrites in thin samples: a phase-field study at copper concentrations relevant for practical applications by Gong, Tong Zhao, Boukellal, Ahmed Kaci, Chen, Yun, Debierre, Jean-Marc

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Implementation of sepsis algorithm by nurses in the intensive care unit by Paula Pedroso Peninck, Regimar Carla Machado

“…We emphasize the importance of greater numbers of nurses getting acquainted and correctly applying the sepsis algorithm. Based on the above, an operational septic patient nursing assistance guide was created, based on the difficulties that arose vis-à-vis the variables applied in research and relevant literature.…”
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Development of a typical algorithm for renovation of industrial complexes by S. N. Kutenev

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Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

“…Thus, this study has developed a novel feature-based enhanced boosting algorithm (F-EBA). The proposed model covers two pipelines, the feature engineering pipeline which improves the quality of features by picking up the most relevant features while the classification pipeline uses an ensemble approach designed to boost/elevate the model’s performances. …”
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Improved rule-based backward fuzzy reasoning algorithm by ZHANG Wen1, ZHANG Gui-xu1

“…Via using the algorithm, one can calculate the tokens of any appointed places which correspond to the true fuzzy values of the relevant propositions. …”
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Adversarial sample generation algorithm for vertical federated learning by Xiaolin CHEN, Daoguang ZAN, Bingchao WU, Bei GUAN, Yongji WANG

“…To adapt to the scenario characteristics of vertical federated learning (VFL) applications regarding high communication cost, fast model iteration, and decentralized data storage, a generalized adversarial sample generation algorithm named VFL-GASG was proposed.Specifically, an adversarial sample generation framework was constructed for the VFL architecture.A white-box adversarial attack in the VFL was implemented by extending the centralized machine learning adversarial sample generation algorithm with different policies such as L-BFGS, FGSM, and C＆amp;W.By introducing deep convolutional generative adversarial network (DCGAN), an adversarial sample generation algorithm named VFL-GASG was designed to address the problem of universality in the generation of adversarial perturbations.Hidden layer vectors were utilized as local prior knowledge to train the adversarial perturbation generation model, and through a series of convolution-deconvolution network layers, finely crafted adversarial perturbations were produced.Experiments show that VFL-GASG can maintain a high attack success while achieving a higher generation efficiency, robustness, and generalization ability than the baseline algorithm, and further verify the impact of relevant settings for adversarial attacks.…”
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Research on multi-bit decoding algorithms for polar codes by Zhouqing SHEN, Junna SHANG

“…Aiming at the problem of high delay of successive cancellation lists (SCL) decoding algorithm for polar codes,a multi-bit SCL (MSCL) decoding algorithm based on log-likelihood ratio was proposed.The multiple codeword bits could be decoded simultaneously at a single decision time.Without loss of SCL decoding performance,the decoding delay was reduced from 3N-2 clocks to 4N/M-2 clocks.Compared with the existing multi-bit SCL decoding algorithm,the MSCL decoding algorithm had a lower complexity of the path metric calculation.In order to reduce the decoding delay and memory space of the cyclical redundancy check (CRC) assisted SCL (CA-SCL) decoding algorithm,a segmented CRC assisted MSCL (SCA-MSCL) decoding algorithm was proposed,and a segmentation information codeword length correction algorithm was proposed.By adjusting the length of the relevant segment,the information bit index set A was guaranteed.Under the same premise,the corresponding information bit index at the end of each segment could be divisible by M.The SCA-MSCL algorithm could output decoded code words as early as possible by using multiple CRC decisions,thereby reducing the decoder’s storage space and decoding delay.…”
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Research on multi-bit decoding algorithms for polar codes by Zhouqing SHEN, Junna SHANG

“…Aiming at the problem of high delay of successive cancellation lists (SCL) decoding algorithm for polar codes,a multi-bit SCL (MSCL) decoding algorithm based on log-likelihood ratio was proposed.The multiple codeword bits could be decoded simultaneously at a single decision time.Without loss of SCL decoding performance,the decoding delay was reduced from 3N-2 clocks to 4N/M-2 clocks.Compared with the existing multi-bit SCL decoding algorithm,the MSCL decoding algorithm had a lower complexity of the path metric calculation.In order to reduce the decoding delay and memory space of the cyclical redundancy check (CRC) assisted SCL (CA-SCL) decoding algorithm,a segmented CRC assisted MSCL (SCA-MSCL) decoding algorithm was proposed,and a segmentation information codeword length correction algorithm was proposed.By adjusting the length of the relevant segment,the information bit index set A was guaranteed.Under the same premise,the corresponding information bit index at the end of each segment could be divisible by M.The SCA-MSCL algorithm could output decoded code words as early as possible by using multiple CRC decisions,thereby reducing the decoder’s storage space and decoding delay.…”
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On Evaluation of Data Stream Clustering Algorithms: A Survey by Christian Nordahl, Veselka Boeva, Hakan Grahn, Marie Persson-Netz

“…We provide a short summary of the stream clustering algorithms in the literature, but our primary focus lies in the survey of cluster validation relevant to the evaluation of data stream clustering algorithms. …”
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Algorithms for Integrated Object Detection in Wireless Sensor Networks by V. I. Parfenov, T. T. Bui

“…In this connection, the development of an integrated detection algorithm for sequential transmission of information from sensor to sensor is a relevant research task. …”
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Algorithms of diagnosis and therapy of a primary depressive episode by V. L. Pidlubnyi, V. S. Makoid

“…Depressive disorders are among the most widespread forms of mental pathology with significant medical and social consequences and require adequate and timely medical assistance. It is known that algorithms are effective methods of optimizing the provision of psychiatric care in order to prevent the development of therapy-resistant forms of mental pathology and reduce their treatment costs, which is particularly relevant in the case of a primary depressive episode (PDE). …”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

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Knowledge graph based entity selection framework for ad-hoc retrieval by Pankaj Singh, Plaban Kumar Bhowmick

“…To address this issue, we present an entity selection algorithm that utilizes a graph clustering framework to discover the semantics between entities and encompass the query with highly coherent entities accumulated from different resources, including knowledge bases, and pseudo-relevance feedback documents. …”
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Development and validation of a novel AI framework using NLP with LLM integration for relevant clinical data extraction through automated chart review by Mert Marcel Dagli, Yohannes Ghenbot, Hasan S. Ahmad, Daksh Chauhan, Ryan Turlip, Patrick Wang, William C. Welch, Ali K. Ozturk, Jang W Yoon

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