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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Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification by Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese

“…The scientific research goal of this study was to interpret the fMRI connectivity maps based on machine learning algorithms to predict the patient who will relapse and the one who will not. …”
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A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision by Qinzhi Hao, Tengyu Jing, Yao Sun, Zhuolin Yang, Jiali Zhang, Jiapeng Wang, Wei Wang

“…This framework not only streamlines the comparison of different maneuvering algorithms but also promotes the integration of multi-source expert knowledge and sophisticated algorithms, paving the way for advanced UAV applications in complex operational environments.…”
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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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An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis by Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ibrahim Alrashdi, Ibrahim A. Hameed

“…Therefore, the researchers have recently turned their focus to metaheuristic algorithms to address this problem more accurately and in an acceptable amount of time. …”
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UPL-SLAM: Unconstrained RGB-D SLAM With Accurate Point-Line Features for Visual Perception by Xianshuai Sun, Yuming Zhao, Yabiao Wang, Zhigang Li, Zhen He, Xiaohui Wang

“…In mainstream simultaneous localization and mapping (SLAM) algorithms, feature points are commonly utilized to represent image features. …”
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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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Mosaic-Mixed Attention-Based Unexpected Traffic Scene Classification by Sang-Hyun Lee, Soomok Lee, Ilsoo Yun

“…However, current OD algorithms often underperform in complex or unexpected traffic scenarios, such as accidents. …”
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Segment search for local extremums of images based on the analysis of brightness of adjacent homogeneous areas by V. Yu. Tsviatkou, Anh Tuan Nguyen

“…Morphological search algorithms provide the selection of non-strict extremes, but have a high computational complexity. …”
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Multilevel Thresholding for Image Segmentation Using Mean Gradient by Abubakar M. Ashir

“…These challenges present difficulties in the choice of the algorithm to use, and sometimes, it is practically impossible to implement these algorithms in a low-capacity hardware application where computational power and memory utilization are of great concern. …”
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Optimization Method of RFID Reader Antenna Deployment in Obstacle Environment Based on Improved FA by Tao Hong, Yixuan Jiang, Cui Wang

“…Finally, to improve the algorithm’s continuous optimality-seeking ability, a Gaussian variation operation strategy based on elite fireflies is introduced to ensure the algorithm’s optimality-seeking throughout the process.…”
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Information Retrieval and Graph Analysis Approaches for Book Recommendation by Chahinez Benkoussas, Patrice Bellot

“…These results extend the applicability of link analysis algorithms to different environments.…”
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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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Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing by Gui Zou, Jin Jiang, Qi Chen

“…Since the drone needs to use an embedded onboard computer and stereo matching algorithms require massive computing resources, this paper studies the optimization of CUDA-based stereo matching algorithms on embedded devices to improve the reconstruction effect of scenes and achieve rapid reconstruction, thereby reducing time costs, and enhancing drone efficiency.…”
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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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Fall Detection and Direction Judgment Based on Posture Estimation by Chunmiao Yuan, Pengju Zhang, Qingyong Yang, Jianming Wang

“…Most of the existing fall detection algorithms require the monitored persons to carry wearable devices, which will bring inconvenience to their lives and few algorithms pay attention to the direction of the fall. …”
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Comparison and Supervised Learning of Segmentation Methods Dedicated to Specular Microscope Images of Corneal Endothelium by Yann Gavet, Jean-Charles Pinoli

“…This paper presents a methodology to compare these algorithms together. Moreover, by the way of geometric dissimilarity criteria, the algorithms are tuned up, and the best parameter values are thus proposed to the expert ophthalmologists.…”
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The limitations of mouth alcohol detection systems in breath alcohol testing: Case reports by Aaron Olson

“…To combat the issue of mouth alcohol contamination, manufacturers of breath alcohol analyzers have incorporated slope detection algorithms into their devices known as “slope detectors.” …”
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