Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…Many analyses include multiple Machine Learning algorithms for various disease assessments and predictions to improve overall issues. …”
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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

“…The predicted offsets can then be used for physical radar alignment or integrated into compensation algorithms to enhance data interpretation accuracy in ADAS applications. …”
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SAMPLING OF THE PLAN OF REPAIRS OF THE MAIN EQUIPMENT IN THE ELECTRICAL POWER SYSTEM by O. I. Alexandrov

“…The main problems that hinder mathematical modeling of decision-making concerning operational applications for the repair of the main power equipment of power system are: the need for a coherent account of a large number of limiting factors and indicators of effectiveness of the solutions; the need of information and algorithmic trade-offs with the objectives of adjacent levels of spatial, temporal and functional hierarchy; the lack of developments in the standardization of information structures that adequately reflect the process of finding solutions; the computational complexity of several restrictions of the optimization problem subject to mandatory registration.…”
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Research on Load Balancing and Caching Strategy for Central Network by Zhi-hong Wang, A-liang Dong

“…By analyzing the load scheduling requirements of network nodes, combined with the transmission characteristics of resource requests in the central network, a cache node load balancing method suitable for the requirements of the central network was proposed based on the existing load balancing algorithms. In addition, by analyzing the cache management strategy and its impact on the performance of the network system, a cache node information forwarding model with resource requests as the object in the central network environment was given. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…The findings illustrate that RFR is achieving better performance than the other two algorithms, as the predicted magnitudes are close to the actual magnitudes. …”
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A System for Sentiment Analysis of Colloquial Arabic Using Human Computation by Afnan S. Al-Subaihin, Hend S. Al-Khalifa

“…The game produces necessary linguistic resources that will be used by the second component which is the sentimental analyzer. Two different algorithms have been designed to employ these linguistic resources to analyze text and classify it according to its sentimental polarity. …”
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Driver anomaly detection in cargo terminal by Shahab Emaani, Abbas Saghaei

“…Subsequently, Isolation Forest, KNN, and HBOS algorithms are applied to detect abnormal behavior using data mining techniques. …”
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Viral Justice: TikTok Activism, Misinformation, and the Fight for Social Change in Southeast Asia by Nuurrianti Jalli

“…However, they also face significant challenges, including rampant harassment and the precarious nature of algorithmic visibility. The study highlights the complexities of digital activism, where the pursuit of virality can sometimes undermine the depth of political movements. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…In comparison, the random forest model, which builds multiple decision trees (DT) to do their predictions, demonstrates superior performance over several widely used algorithms such as K-Nearest Neighbours (KNN), Logistic Regression (LR), DT, Support Vector Machines (SVM), and Gradient Boosting (GB). …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…Through an analysis of these methods, the research demonstrates how applying advanced deep learning algorithms and cross-attention processes has significantly improved prediction robustness and accuracy. …”
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VR and computer vision based facade complexity analysis for building design by Fabian Jarrin, Yasuko Koga, Diego Thomas

“…The study employs the Computational Image Complexity Analysis (CICA) system, integrating VR and CV algorithms, to assess reactions to various facade complexities. …”
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Cladistics with geometric morphometric data: The variability of the calvarium in the genus Homo by Margaux Simon-Maciejewski, Giorgio Manzi, Valéry Zeitoun, Aurélien Mounier

“…These two datasets were then analysed with both the heuristic and branch-and-bound algorithms implemented in the TNT software. These analyses produced a unique cladistic tree for each dataset. …”
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An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extractio... by Nhat-Duc Hoang

“…A data set consisting of 200 image samples has been collected to train and validate the predictive performance of two machine learning algorithms including the least squares support vector machine (LS-SVM) and the artificial neural network (ANN). …”
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Downlink and Uplink Cooperative Transmission for Primary Secrecy Based Cognitive Radio Sensor Networks by Dawei Wang, Pinyi Ren, Qinghe Du, Li Sun, Yichen Wang

“…Moreover, two suboptimal algorithms are proposed to deal with these optimization problems. …”
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The Line-Haul Feeder Vehicle Routing Problem: A Classification and Review by Majid Yousefikhoshbakht, Mohamadreza Chaharmahali, Zakir Hussain Ahmed

“…Due to the many applications of this problem in the real world, a general review of this problem is conducted, and the versions of this problem are described along with the algorithms for its solution in the paper.…”
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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

“…Remote sensing imagery, Geographic Information System (GIS) tools, and machine learning algorithms are leveraged to process and interpret satellite data for accurate land-cover classification. …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Robotic Vision with the Conformal Camera: Modeling Perisaccadic Perception by Jacek Turski

“…Here, the related neuroscience background is presented, effectiveness of the conformal camera's non-Euclidean geometry in intermediate-level vision is discussed, and the algorithmic steps in modeling perisaccadic perception with PFT are proposed. …”
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Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization by Lakshman Pappula, Debalina Ghosh

“…A comparative study is carried out to quantify the performance of the two algorithms using two performance metrics.…”
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Knowledge Discovery from Vibration Measurements by Jun Deng, Jian Li, Daoyao Wang

“…The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM). …”
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