Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

Subjects: “…brain tumor prediction…”
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Multi-objective optimization and parameter sensitivity study on microreactor nuclear power systems by Ersheng You, Yiyi Li, Jianjun Xu, Dianchuan Xing, Haochun Zhang

Subjects: “…PSO algorithm…”
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CPDGA: foresee future DGA using proactive conformal propagation by LIU Shuangshuang, WANG Zhi, DONG Yimeng, LI Wanpeng

Subjects: “…domain generation algorithm…”
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Triage-HF Validation in Heart Failure Clinical Practice: Importance of Episode Duration by Daniel García Iglesias, David Ledesma Oloriz, Diego Pérez Diez, David Calvo Cuervo, Rut Álvarez Velasco, Alejandro Junco-Vicente, José Manuel Rubín López

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Comparative Analysis of Machine Learning Algorithms for Antenna Alignments by Mohammad Al Bataineh, Dana I. Abu Abdoun, Mahmoud Al Ahmad

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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

“…Using statistical hypothesis testing, this study will demonstrate how to compare machine learning algorithms. The output of several machine learning algorithms or simulation pipelines is compared during model selection. …”
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Mapping the social implications of platform algorithms for LGBTQ+ communities by David Myles, Stefanie Duguay, Lucia Flores Echaiz

“…Recently, those platforms have implemented algorithmic systems that curate, exploit, and predict user practices and identities. …”
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Optimization of Neighborhood Public Space Design Based on Physical Environment Simulation and Crowd Simulation—A Case Study of Xiaomi’s Changping Campus by Ziyun Ye, Xiaoyu Cao, Xiong Gao, Kun Wang

“…This paper selects the Xiaomi Beijing Changping II design project, simulates and deduces the physical environment of its location, simulates the results of the natural environment by using the data of sunshine, wind, and water catchment in the physical environment, and then simulates the crowd’s action paths by combining kinetic algorithms and ant algorithms to optimise the design methods, processes, and results of the neighbourhood public space on the basis of this research. …”
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Random Volumetric MRI Trajectories via Genetic Algorithms by Andrew Thomas Curtis, Christopher Kumar Anand

“…In this paper, a genetic algorithm (GA) is formulated and numerically evaluated. …”
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Intelligent Perception Algorithms for Sonar Images: A Review by Wenpei JIAO, Jie LI, Chunyan ZHANG, Guangming XIE, Wendong XIAO, Jianlei ZHANG

“…Finally, based on the research progress, the paper predicted future research directions. It was pointed out that the interpretation ability of sonar images could be further improved by obtaining larger-scale sonar image data, designing more robust algorithms, and developing task settings that are more suitable for real-world underwater environments.…”
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Implementation of stochastic signal processing algorithms in radar CAD by M. Yu. Konopel'kin, S. V. Petrov, D. A. Smirnyagina

“…According to the results of the simulation, coordinates of observing objects were obtained and an assessment of the effectiveness of the algorithms was given. The obtained results are fully consistent with the theoretical prediction. …”
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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…The study of the results of the functionality of the proposed algorithm was carried out in the environment of three-dimensional modeling. …”
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A novel adaptive PID controller with new seesaw algorithms using alternative derivatives by Juan Pablo Manzo Hernández, Julio César Solano Vargas, Juan Manuel Barrera Fernández, Daniel Moreno Orduña, Cristian Hamilton Sánchez Saquín

“…Despite the emergence of promising controllers like Neural Networks, Fuzzy Logic, Sliding Modes, or Genetic Algorithms, diverse research efforts focus on using these to improve the [Formula: see text] rather than replacing it, aiming for either ideal fixed gains or adaptive gains. …”
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Conformal symplectic and constraint-preserving model order reduction of constrained conformal Hamiltonian systems by Vidushi Sachan, Ashish Bhatt

“…In this paper, we reduce and solve high-dimensional parameterized constrained and damped nonlinear differential equations with structure-preserving algorithms. These algorithms preserve the constrained equation's geometric properties, such as conformal symplecticness and phase-space, through model order reduction and numerical integration. …”
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Predictive framework of vegetation resistance in channel flow by Fengcong Jia, Weijie Wang, Yu Han, Jiayu Du, Yue Zhang, Zihan Liu, Hairong Gao

“…To improve predictive performance, optimization algorithms such as PSO, WSO, and RIME were applied. …”
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An improved BKW algorithm on the learning with rounding problem by Yu Wei, Lei Bi, Kunpeng Wang, Xianhui Lu

“…(in: Oswald and Fischlin (eds) EUROCRYPT 2015, Springer, Berlin, 2015) proposed the first BKW algorithm applied directly to LWR, which consists of the reduction phase and the solving phase. …”
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Comparing the Indices predictive of the thermal injury outcome by E A. Zhirkova, T. G. Spiridonova, A. V. Sachkov, A. O. Medvedev, E. I. Eliseenkova, I. G. Borisov, M. L. Rogal, S. S. Petrikov

“…While developing the algorithms for diagnosis and treatment of patients with thermal injury, an injury outcome prediction index with the best predictive properties should be used.Aim. …”
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MQHOA algorithm with energy level stabilizing process by Peng WANG, Yan HUANG

“…Energy level stabilization, en-ergy level reduction, scale reduction were the basic iterative convergence processes of MQHOA, coinciding with its physical model. …”
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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…The final experimental results indicate that, compared to the original YOLOv8n algorithm, the PFW-YOLO algorithm achieves a 53% reduction in parameters, a 42% decrease in computational effort, and a 51% reduction in model size, while enhancing the mean average precision (mAP) by 0.4%.…”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…The current research is motivated by this concept and proposes a multifactor algorithm incorporated with genetic operators and powerful features. …”
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