A Canadian algorithm for upper gastrointestinal cancer management by Frédéric Lemay, Amindeep S. Sandhu, Barry D. Stein, Rachel Goodwin

“…The algorithm is based on a novel approach comprising a case-based, accredited educational program with asynchronous discussion among clinicians practicing across Canada, with the input of expert medical oncologists and gastroenterologists. …”
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Environmental risk determination algorithm for veterinary medicinal products by Viviana Ciuca, Viorel V. Safta, Romeo T. Cristina

“…Based on the indication of use of the veterinary medicinal product, the exposure assessment begins with the release of the active substance into the environment, and while taking into account the drug's fate and distribution, develops a predicted environmental concentration (PEC). The effects assessment begins with toxicity data and applies an assessment factor (AF) to it resulting in a predicted no effect concentration (PNEC). …”
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Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…Deep learning models are widely used for their high predictive performance, but often lack interpretability. …”
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An Improved Directional Broadcast Algorithm Based on Brownian Motion by Shibao Li, Linlin Lou, Yu Wang, Lu Sun, Li Hong

“…We bring Brownian motion into network model and gain the distribution of the nodes which encountered destination before. This algorithm uses encounter records to predict the direction to destination and forwards RREQ packets with reasonable probability according to the distribution just mentioned. …”
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An algorithm for indoor SARS-CoV-2 transmission by Daniel Maxin, Spencer Gannon

“…It is shown via several examples how this algorithmic modeling approach can be used to run various scenarios in order to predict the efficacy of the intervention.…”
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A Recommendation Algorithm Based on Restricted Boltzmann Machine by WANG Weibing, ZHANG Lichao, XU Qian

“…In the case where the amount of data is too large, the recommended results output by the RBM model will be broader Besides, many collaborative filtering algorithms currently do not handle large data sets better So, we try to use the deep learning technology to strengthen the personalized recommendation model We propose a hybrid recommendation model combining the bound Boltzmann model and the hidden factor model First, we use the RBM algorithm to generate candidate sets, and score the sparse matrix of the candidate set Then we use the LFM model to sort the candidate results and select the optimal solution for recommendation The hybrid model is validated using used large public datasets It can be seen from the verification that compared with the traditional recommendation model, the proposed method can improve the accuracy of the score prediction…”
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Practical aspects of using of parallel computing in genetic algorithm by V. V. Frolov

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Local congestion control algorithm with fair channel allocation by Geng-ming ZHU, Zhi-qiang WANG, Zhe-tao LI, Ren-fa LI

“…A local congestion control algorithm with fair channel allocation (FCA) was presented to mitigate local congestion as well as to improve the fairness of channel utilization.In order to decrease the extra communication overhead for obtaining the real-time buffer length of neighbors and improve the accuracy of congestion detection model based on buffer occupancy of single node，FCA presented a new model considers the total buffer length of neighbors with predict-based mechanism for real-time buffer occupancy and the average transmission time of packet.To avoid deteriorating congestion with an explicit notified package，FCA embedded an additional node address to the ACK control frame to carry congestion information.During the congestion alleviation stage，FCA presented a fair channel allocation mechanism based on real-time buffer occupancy and queue priority to prevent some nodes from overflowing resulting in package loss due to the growth of buffer fast.Simulation results show that the proposed protocol has comparative advantages compare with 802.11，CODA and PCCP in terms of collision，package delivery ratio，throughput and fairness.…”
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Skeletonization algorithm FOR OBJECTS ON THREE-DIMENSIONAL RASTER IMAGES by D. A. Goncharov, A. M. Nedzved, S. V. Ablameyko

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DMS Algorithm in the Application of the Map/Reduce Tasks Schedule by PEI Shu-jun, KONG De-kai, MIAO Hui

“…The whole efficiency of traditional task scheduling algorithms is low under the cloud environment, In order to improve the whole efficiency of the task scheduling, this article based on Map/Reduce presents a Difference Matrix Scheduling tasks schedule algorithm based on processing time. …”
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REAL-TIME ALGORITHM of OBJECT TRACKING with ERROR HANDLING by O. P. Solovey, N. N. Ivanov

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Algorithm of measuring signal processing in vector analyzers of circuits by A. A. Kopshaj, A. V. Gusinskij, A. V. Voroshen', D. A. Kondrashov

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Genetic Algorithm-Enhanced Direct Method in Protein Crystallography by Ruijiang Fu, Wu-Pei Su, Hongxing He

“…Direct methods based on iterative projection algorithms can determine protein crystal structures directly from X-ray diffraction data without prior structural information. …”
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Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan by Alisher Abdullaev

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A Suggested Algorithm for Video Motion and Applicate It to Basketball by Basil Thanoon, Abeer Thanoon

“…Also Root Mean Square Error is adopted as a measure for the adjacent position to the real position of the ball within the video sequence and the position that is found by using algorithm. The experimental results show the efficiency of the suggested algorithm to estimate the ball position accurately.…”
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Investigating the Impact of Consensus Algorithm on Scalability in Blockchain Systems by Kashif Mehboob Khan, Muhammad Abdullah Hayat, Rana Muhammad Ibrahim

“…Consensus algorithms ensure the integrity and security of blockchain. …”
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A Method for Speed Up the Allpass Transformation Algorithm by M. I. Porhun, M. I. Vashkevich

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A flexible generative algorithm for growing in silico placentas. by Diana C de Oliveira, Hani Cheikh Sleiman, Kelly Payette, Jana Hutter, Lisa Story, Joseph V Hajnal, Daniel C Alexander, Rebecca J Shipley, Paddy J Slator

“…These models use synthetic networks to represent the multiscale feto-placental vasculature, but current methods lack direct control over key morphological parameters like branching angles, essential for predicting placental dysfunction. We introduce a novel generative algorithm for creating in silico placentas, allowing user-controlled customisation of feto-placental vasculatures, both as individual components (placental shape, chorionic vessels, placentone) and as a complete structure. …”
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A Human Pose Estimation Algorithm with Scale Invariant by SUN Ruiyang, YANG Huixin, ZHAO Lanfei

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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data by Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan

Subjects: “…Brain tumor disease prediction…”
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