Off-Design Considerations through the Properties of Some Pressure-Ratio Line of Radial Inflow Turbines by N. Binder, X. Carbonneau, P. Chassaing

“…Recent developments in prediction and optimization methods allowed such an integration, but involving complex algorithms is coupled with semiempiric loss models. …”
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Enhancing antimicrobial resistance strategies: Leveraging artificial intelligence for improved outcomes by Aeshah M. Mohammed, Mohammed Mohammed, Jawad K. Oleiwi, Azlin F. Osman, Tijjani Adam, Bashir O. Betar, Subash C.B. Gopinath, Falah H. Ihmedee

“…By synthesizing current research and applications, the potential of AI-driven technologies—ranging from machine learning models that predict resistance patterns to algorithms enhancing antibiotic discovery—is illuminated to augment our arsenal against AMR. …”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“…In addition of this, a new dataset is developed called Anomaly-5 that can helps as a valuable resource for training and evaluating action recognition algorithms. …”
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Secrecy-Constrained UAV-Mounted RIS-Assisted ISAC Networks: Position Optimization and Power Beamforming by Weichao Yang, Yajing Wang, Dawei Wang, Yixin He, Li Li

“…To address this non-convex, multivariate, and coupled problem, we decompose it into three subproblems, which are solved iteratively using particle swarm optimization (PSO), semi-definite relaxation (SDR), majorization–minimization (MM), and alternating direction method of multipliers (ADMM) algorithms. Our numerical results validate the effectiveness of the proposed scheme and demonstrate the potential of employing UAV-mounted RIS in ISAC systems to enhance radar sensing capabilities.…”
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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…These findings have the potential to inform ongoing research on brain-like neural learning and could function as a catalyst for developing swifter and more potent algorithmic solutions in the realm of intelligent transportation.…”
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Diagnosis and detection of bone fracture in radiographic images using deep learning approaches by Theyazn Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, Sultan Ahmad, Sultan Ahmad, Mosleh Hmoud Al-Adhaileh, Ahmed Hassan Kamal, Mohammed Almaiah, Jabeen Nazeer

“…In response to this challenge, researchers have turned to deep-learning (DL) algorithms. Recent advancements in sophisticated DL methodologies have helped overcome existing issues in fracture detection.MethodsNevertheless, it is essential to develop an automated approach for identifying fractures using the multi-region X-ray dataset from Kaggle, which contains a comprehensive collection of 10,580 radiographic images. …”
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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

“…Fourth predictive systems are employed to investigate the intricate problem of predicting the severity of injuries sustained in traffic crashes using different regression algorithms, such as Random Forest, Decision Trees, XGBoost, and Artificial Neural Networks. …”
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Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems by A. Androon, O. V. Tikhonova

“…However, it will be necessary to further optimize the method and develop algorithms for enhancing error probability in the FBMC-OQAM system under real conditions in 5G networks. …”
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A Three-Dimensional Anisotropic Diffusion Equation-Based Video Recognition Model for Classroom Concentration Evaluation in English Language Teaching by Yanghong Liu, Jintao Liu

“…Based on the above face detection and expression recognition algorithms, the classroom concentration analysis system based on expression recognition is designed to achieve real-time acquisition and processing of classroom images, complete student classroom attendance records using face detection and face recognition methods, and analyze students’ concentration from the face integrity and facial expression of students facing the blackboard by combining face detection and expression recognition to visualize and display students’ classroom data for teachers, students, and parents with more data support and help.…”
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Multidimensional Analysis of PANoptosis-Related Molecule CASP8: Prognostic Significance, Immune Microenvironment Effect, and Therapeutic Implications in Hepatocellular Carcinoma by Fei Peng, Fang Zhu, Baodi Cao, Liang Peng

“…We also employed ClueGO, gene set enrichment analysis, and other algorithms for biological enrichment analysis. Results. …”
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Pre-trial investigation in the de-occupied territories: normative regulation and prospects for implementation by T. H. Fomina

“…It is important in this direction to build effective algorithms for pre-trial investigation bodies, the prosecutor’s office, the court, which cannot be implemented without the introduction of new legislative initiatives. …”
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A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems by Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin

“…The experimental results indicate that AGPSO shows the superior performance over four current MOPSOs (SMPSO, dMOPSO, NMPSO, and MaPSO) and four competitive evolutionary algorithms (VaEA, θ-DEA, MOEA\D-DD, and SPEA2-SDE), when solving most of the test problems used.…”
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Simulation of Novel NEMS Contact Switch Using MRTD with Alterable Steps by Wen-Ge Yu, Kang-Qu Zhou, Zheng-Zhong Wu, Ting-Hong Yang, Jing Zhao

“…The major advantage of the MRTD algorithms is their capability to develop real-time time and space adaptive grids through the efficient thresholding of the wavelet coefficients. …”
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Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory by Manuela Ortega Monsalve, Mario Cerón-Muñoz, Luis Galeano-Vasco, Marisol Medina-Sierra

“…The application of spectroscopic techniques and the use of machine learning algorithms have made it possible to calibrate models capable of predicting the number of elements present in the soil. …”
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Exploring High School Students' Mathematical Reasoning in Geometry Using GeoGebra-Assisted Problem-Based Learning by Humam Nuralam, Al Jupri, Wenda Alifulloh

“…GeoGebra assists students in visually constructing three-dimensional geometry problems and evaluating the outcomes of algebraic algorithms with 3D graphical representations. …”
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Performance Evaluation and Disruption Recovery for Military Supply Chain Network by Biao Xiong, Rong Fan, Shuai Wang, Bixin Li, Can Wang

“…By applying the model and algorithms to a POL supply network in a theater, we obtain the values of supply capability and disruption recovery against different disruptions. …”
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Establishment of Trust in Internet of Things by Integrating Trusted Platform Module: To Counter Cybersecurity Challenges by Mohammad Faisal, Ikram Ali, Muhammad Sajjad Khan, Su Min Kim, Junsu Kim

“…In the end, we integrated the trusted platform module in the IOT architecture to establish the trust in IOT computing and to enhance the cybersecurity challenges and evaluated it with the help of mathematical/algorithms/graph theory/matrices and logical diagrams.…”
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Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming by Hasan Musaab Falih, Sodani Noor A. Abdul-Jabbar Al, Salih Jihan Maan, Mohammed Sawsan Rasheed

“…Sequential quadratic programming algorithms (SQP) generate workable schedules that optimally use available resources. …”
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Studies of biofilms and phenotypic characteristics of Candida fungi by E. M. Lenchenko, N. P. Sachivkina

“…The search and testing of multilevel algorithms for biofilm identification when exposed to chemotherapeutic and disinfectant drugs for blocking the synthesis or destruction of the intercellular matrix in the development of superficial, deep and systemic candidiasis of animals are relevant for developing and improving diagnostic and antiepidemic measures. …”
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Strategic priorities and challenges in research software funding: Results from an international survey [version 2; peer review: 2 approved, 1 approved with reservations, 1 not appr... by Daniel S. Katz, Eric A. Jensen

“…It spans a broad spectrum, including source code files, algorithms, scripts, computational workflows, and executables, all created for or during research. …”
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