Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework by Yasemin Bridges, Vinicius de Souza, Katherina G. Cortes, Melissa Haendel, Nomi L. Harris, Daniel R. Korn, Nikolaos M. Marinakis, Nicolas Matentzoglu, James A. McLaughlin, Christopher J. Mungall, Aaron Odell, David Osumi-Sutherland, Peter N. Robinson, Damian Smedley, Julius O. B. Jacobsen

“…Abstract Background: Computational approaches to support rare disease diagnosis are challenging to build, requiring the integration of complex data types such as ontologies, gene-to-phenotype associations, and cross-species data into variant and gene prioritisation algorithms (VGPAs). However, the performance of VGPAs has been difficult to measure and is impacted by many factors, for example, ontology structure, annotation completeness or changes to the underlying algorithm. …”
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A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance by Xiangjun Li, Yong Zhou, Ziyan Jin, Peng Yu, Shun Zhou

“…Experimental results show that the algorithm can effectively mitigate the impact of concept drift on classification and novel class detection.…”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

“…The plot of accuracy vs. number of epochs showed the obtained accuracy score 0f 1.0 which means that 100 % of points were correctly labeled by our implemented algorithm.…”
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Détecter la tuberculose par algorithmes : les valorisations d’une technologie de surveillance par la santé mondiale by Julien Onno, Pierre-Marie David

“…This article explores the stages in the creation of value and a market for these detection algorithms, thanks to an “accelerationist” regime that is well entrenched within the field of global health. …”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

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Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm by Sanglin Zhao, Zhetong Li, Hao Deng, Xing You, Jiaang Tong, Bingkun Yuan, Zihao Zeng

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The radar image formation algorithms for screws of an aerial vehicle in horizontal and vertical planes in the radar sensor with inverse synthesis of antenna aperture by S. R. Heister, T. T. Nguyen

“…The developed algorithms allow forming radar images of screws oriented horizontally (helicopter main rotor) and vertically (helicopter tail rotor, aircraft propeller). …”
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A New Iterative Algorithm for the Set of Fixed-Point Problems of Nonexpansive Mappings and the Set of Equilibrium Problem and Variational Inequality Problem by Atid Kangtunyakarn

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The Modified Form of the Gutenberg-Richter Law ‎in ‎Solar ‎Flare ‎Complex ‎Network‎ : ‎Approach of Genetic Algorithm on the Thresholded Power-Law Behavior by Amin Najafi

“…A statistical method based on optimization of the ‎$‎‎chi‎‎^{2}‎$-test by application of the genetic algorithm have been developed.‎Here, the analytical details of a method based on genetic algorithm is presented to calculate the parameters of the frequency-Magnitud‎‏e distribution of the empirical data sets. …”
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Comparison of K-Nearest Neighbor, Support Vector Machine, Random Forest, and C 4.5 Algorithms on Indoor Positioning System by M Rizky Astari, Muhammad Taufiq Nuruzzaman, Bambang Sugiantoro

“…This study compares the classification algorithms KNN, SVM, Random Forest, and C 4.5 to see which algorithm provides more accurate calculations. …”
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Architectural design visual information mining system based on image processing technology by Pan Junyu

“…Image processing technology mainly uses computer algorithms to collect images, thereby converting these images into digital signals that can be recognized by a computer, and then displaying them on a computer display. …”
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pSum-SaDE: A Modified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization by Rasim M. Alguliev, Ramiz M. Aliguliyev, Chingiz A. Mehdiyev

“…To solve the optimization problem a self-adaptive differential evolution algorithm is created. Differential evolution has been proven to be an efficient and robust algorithm for many real optimization problems. …”
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Synchronous Optimization for Demand-Driven Train Operation Plan in Rail Transit Network Using Nondominated Sorting Coevolutionary Memetic Algorithm by Zhenyu Han, Dewei Li, Baoming Han, Han Gao

“…The hybrid heuristic algorithm incorporates Coevolutionary Memetic Algorithm (CMA) into Advanced and Adaptive Nondominated Sorting Genetic Algorithm II (AANSGA-II) to ameliorate the evolution process for elite individuals. …”
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A multilevel boost DC-DC converter with MPPT algorithm for the rooftop PV system of the urban railway Nhon - Hanoi Station by Tran Hung Cuong, An Thi Hoai Thu Anh

“…Fast and reliable step-up DC-DC converters face many obstacles when applied in the field of high-capacity urban trains, causing the current quality of the conversion process to be limited. …”
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Cloud Computing Technology Algorithms Capabilities in Managing and Processing Big Data in Business Organizations: MapReduce, Hadoop, Parallel Programming by Munsif Sokiyna, Musbah J. Aqel, Omar A. Naqshbandi

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Teaching AI awareness in middle school classrooms: Design, implementation and evaluation of two education modules on algorithmic bias and filter bubbles by Mehtab Iqbal, Khushbu Singh, Sushmita Khan, Oluwafemi Osho, Emily Sidnam-Mauch, Nicole Bannister, Kelly Caine, Bart Knijnenburg

“…We design, implement, and evaluate two educational modules on the causes and consequences of two particularly salient types of AI misrepresentation: algorithmic biases and filter bubbles. We implement these modules in middle school math and computer science classrooms by integrating our materials with the existing curricula and curricular requirements of the partner school. …”
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Optimal sizing of battery energy storage system (BESS) for multiple applications using regression analysis and deep sleep optimizer algorithm by Chukwuemeka Emmanuel Okafor, Komla Agbenyo Folly

“…Regression analysis is used for mathematical formulations while Deep Sleep Heuristic algorithms in MATLAB environment is used for the optimization process for BESS optimal size. …”
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Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain by Manuel J. García Rodríguez, Vicente Rodríguez Montequín, Francisco Ortega Fernández, Joaquín M. Villanueva Balsera

“…Recommending the identity of bidders in public procurement auctions (tenders) has a significant impact in many areas of public procurement, but it has not yet been studied in depth. …”
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Fault Risk Assessment of Transmission Lines Under Extreme Weather Conditions Based on Genetic Algorithm Back-Propagation Neural Network by Jialu Li, Ruilin Lei, Yongqiang Gao, Aoyu Lei, Junqiu Fan, Yong Mei, Wenwei Tao, Haohuai Wang, Linzi Wang, Taiji Li, Qiansheng Zhao

“…This study proposes a risk assessment model combining a genetic algorithm-optimized neural network (GA-BP) with GIS spatial analysis to evaluate transmission line faults under extreme weather in southern China. …”
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A Hybrid Tabu Search Algorithm for a Real-World Open Vehicle Routing Problem Involving Fuel Consumption Constraints by Yunyun Niu, Zehua Yang, Ping Chen, Jianhua Xiao

“…Moreover, a hybrid tabu search algorithm was presented to deal with this problem. …”
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