Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques:... by M. E. Alqaysi, A. S. Albahri, Rula A. Hamid

“…Finally, this study critically reviews the literature and attempts to address the diagnosis ASD research gaps in knowledge and highlights the available ASD datasets, AI techniques and ML algorithms, and the feature selection methods that have been collected from the final set of articles.…”
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Machine learning-based prediction of hemodynamic parameters in left coronary artery bifurcation: A CFD approach by Sara Malek, Arshia Eskandari, Mahkame Sharbatdar

“…Hemodynamic parameters (TAWSS and OSI) were computed using CFD simulations and utilized for ML model training. Fourteen ML algorithms were employed for regression analysis, and their performance was evaluated using multiple metrics. …”
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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

“…Additionally, the aim is to determine the most effective algorithmic approaches for efficient tree species classification from bark images and to make these methods more accessible to interdisciplinary researchers. …”
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Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments by Muhayy Ud Din, Ahsan Baidar Bakht, Waseem Akram, Yihao Dong, Lakmal Seneviratne, Irfan Hussain

“…In addition, we evaluated the robustness of various control algorithms in conjunction with these tracking systems. …”
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Machine Learning and Artificial Intelligence Systems Based on the Optical Spectral Analysis in Neuro-Oncology by Tatiana Savelieva, Igor Romanishkin, Anuar Ospanov, Sergey Goryaynov, Galina Pavlova, Igor Pronin, Victor Loschenov

“…This paper reviews recent studies which apply machine learning algorithms to optical spectroscopy data from central nervous system (CNS) tumors, both ex vivo and in vivo. …”
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Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 16 of CSIMQ by Peter Forbrig

“…The range of topics ends with the discussion of specific algorithms that allow entity clustering for Big Data analysis. …”
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Long-time error-mitigating simulation of open quantum systems on near term quantum computers by Brian Rost, Lorenzo Del Re, Nathan Earnest, Alexander F. Kemper, Barbara Jones, James K. Freericks

“…Our results demonstrate that algorithms for simulating open quantum systems are able to far outperform similarly complex non-dissipative algorithms on noisy hardware. …”
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Evolutionary Optimization of Electric Power Distribution Using the Dandelion Code by Jorge Sabattin, Carlos Contreras Bolton, Miguel Arias, Víctor Parada

“…In this paper, we study this problem using genetic algorithms. With the help of a coding scheme based on the dandelion code, these genetic algorithms allow larger instances of the problem to be solved. …”
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Nephelometer Sensitivities for the Determination of PM2.5 Mass Concentration in Ambient and Indoor Air by Dimitra Karali, Glykeria Loupa, Spyridon Rapsomanikis

“…Abstract Simple algorithms are presented for the relationships between the gravimetrically measured PM2.5 mass concentration and a nephelometer particle scattering coefficient, for three different environments: two outdoor locations (an urban and a suburban) and one indoors. …”
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A Review of Touching-Based Underwater Robotic Perception and Manipulation by Jia Sun, Qifeng Zhang, Yu Lu, Bingding Huang, Qiang Li

“…Additionally, we explore the development of force control algorithms for underwater manipulators and grippers, emphasizing their critical role in underwater environments. …”
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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers by Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic

“…As a result, remarkable performances are obtained with classification algorithms based on linear regression models without the need for very complex classification algorithms.…”
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Graph Coarsening Approach to the Vehicle Routing Problem: An Approximation Strategy by Katarzyna Nalecz-Charkiewicz, Arnav Das, Turbasu Chatterjee, Joshua Keene, Pawel Gora, Carlos C. N. Kuhn

“…When using the proposed method with hybrid algorithms, we have demonstrated an improvement of approximately 50% in the solution found by the hybrid solver. …”
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Robust Spectrum Sensing Demonstration Using a Low-Cost Front-End Receiver by Daniele Borio, Emanuele Angiuli, Raimondo Giuliani, Gianmarco Baldini

“…Spectrum Sensing (SS) is an important function in Cognitive Radio (CR) to detect primary users. The design of SS algorithms is one of the most challenging tasks in CR and requires innovative hardware and software solutions to enhance detection probability and minimize low false alarm probability. …”
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The Interaction of Iteration Error and Stability for Linear Partial Differential Equations Coupled through an Interface by B. Sheehan, D. Estep, S. Tavener, J. Cary, S. Kruger, A. Hakim, A. Pletzer, J. Carlsson, S. Vadlamani

“…The algorithms considered are based on the widely used approach of iteratively exchanging boundary condition data on the shared boundary at each time step. …”
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Real-time predication and navigation on traffic congestion model with equilibrium Markov chain by Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao

“…With the explosive growth of vehicles on the road, traffic congestion has become an inevitable problem when applying guidance algorithms to transportation networks in a busy and crowded city. …”
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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

“…Also, we have implemented the Explainable AI (XAI) algorithms to interpret the decision-making process of the ensemble models in terms of dominating features and the feature values. …”
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Teaching triage in disaster medicine – same subject, but different approach by Amir Khorram-Manesh

“…While routine triage algorithms are often used in multiple casualty emergencies, considering environmental factors in mass casualty incidents caused by natural or human-made hazards should be equally important. …”
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Comparative Study of Two Localization Approaches for Mobile Robots in an Indoor Environment by Eman Alhamdi, Ramdane Hedjar

“…For this reason, adequate algorithms should be used to reduce these uncertainties and determine the optimal pose of the WMR. …”
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Time Synchronization for Wireless Sensor Networks Using Adaptive Linear Prediction by Yulong Xing, Yongrui Chen, Weidong Yi, Chenghua Duan

“…The precision of time-based localization algorithms is closely related to the accuracy of synchronization. …”
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Optimizing Transmit Sequence and Instrumental Variables Receiver for Dual-Function Complexity System by Yu Yao, Junhui Zhao, Lenan Wu

“…The complexity, corresponding to the operation of the proposed algorithms, depends on the number of acceptable iterations along with on and the complexity involved in all iterations. …”
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