Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma

“…In this paper, under the framework of the original lower upper bound estimation method, a direct interval prediction approach is proposed for landslide displacements based on the least squares support vector machine (LSSVM) and differential search algorithms. Two LSSVM models are directly implemented to generate the interval of future displacements, and the optimal model parameters are derived by the differential search algorithm. …”
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Study of Heat Transfer under the Impact of Thermal Radiation, Ramped Velocity, and Ramped Temperature on the MHD Oldroyd-B Fluid Subject to Noninteger Differentiable Operators by Syed Tauseef Saeed, Ilyas Khan, Muhammad Bilal Riaz, Syed Muhammad Husnine

“…The mathematical analysis of fractional governing partial differential equations has been established using systematic and powerful techniques of Laplace transform with its numerical inversion algorithms. The fractionalized solutions have been traced out separately through all fractional differential operators. …”
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On the Measurement of Laser Lines in 3D Space with Uncertainty Estimation by Ivan De Boi, Nasser Ghaderi, Steve Vanlanduit, Rudi Penne

“…By modelling the uncertainties involved, we provide a probabilistic description of the fitted laser line, enabling quality assessment of the measurement and integration into subsequent algorithms. We also offer insights into the optimal number of board positions and the number of repeated laser dot measurements, which are both the main time-consuming factors in practice. …”
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Hierarchical Matrices Method and Its Application in Electromagnetic Integral Equations by Han Guo, Jun Hu, Hanru Shao, Zaiping Nie

“…When applied in integral-equation- (IE-) based computational electromagnetics, H-matrices can be regarded as a fast algorithm; therefore, both the CPU time and memory requirement are reduced significantly. …”
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Medical Management of Glaucoma in the 21st Century from a Canadian Perspective by Paul Harasymowycz, Catherine Birt, Patrick Gooi, Lisa Heckler, Cindy Hutnik, Delan Jinapriya, Lesya Shuba, David Yan, Radmila Day

“…Recent developments in this therapeutic field require revisiting treatment algorithms and integration of traditional and novel approaches in order to ensure optimal visual outcomes. …”
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Model-Based Optimization of Velocity Strategy for Lightweight Electric Racing Cars by Mirosław Targosz, Wojciech Skarka, Piotr Przystałka

“…The model itself was tested on the research tracks to tune the model and determine the calculation parameters. The evolutionary algorithms, which are available in the MATLAB Global Optimization Toolbox, were used for optimization. …”
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints by Fenghui Lian, Yingjie Sun, Meiyu Li

“…Experimental results show that the proposed network achieves comparable performance to current pancreas segmentation algorithms and outperforms most state-of-the-art liver segmentation methods. …”
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Multiagent Task Allocation in Complementary Teams: A Hunter-and-Gatherer Approach by Mehdi Dadvar, Saeed Moazami, Harley R. Myler, Hassan Zargarzadeh

“…We utilize market-based negotiation models to develop incentive-based decision-making algorithms relying on innovative notions of “certainty and uncertainty profit margins.” …”
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Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System by V. Hemamalini, S. Rajarajeswari, S. Nachiyappan, M. Sambath, T. Devi, Bhupesh Kumar Singh, Abhishek Raghuvanshi

“…Then, fruit photos are classified using machine learning methods such as KNN, SVM, and C4.5. These algorithms determine if a fruit is damaged or not.…”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Critical parameters defined algorithms, configurable at each stage of image analysis. …”
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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

“…Methods/Analysis involve a novel combination of Advanced Encryption Standard (AES) and quantum cryptographic algorithms CRYSTALS-Dilithium and CRYSTALS-Kyber within a hybrid blockchain architecture to secure EHRs. …”
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Towards Internet QoS Provisioning Based on Generic Distributed QoS Adaptive Routing Engine by Amira Y. Haikal, M. Badawy, Hesham A. Ali

“…Moreover, extensive simulations are used to compare the proposed QOPRA algorithm and QMPF model with their counterparts in the literature.…”
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Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy by Jing-Mei Yin, Yang Li, Jun-Tang Xue, Guo-Wei Zong, Zhong-Ze Fang, Lang Zou

“…We compare four machine learning algorithms, including extreme gradient boosting (XGB), random forest, decision tree, and logistic regression, by AUC-ROC curves, decision curves, and calibration curves. …”
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A Comprehensive Survey on the Integrity of Localization Systems by Elias Maharmeh, Zayed Alsayed, Fawzi Nashashibi

“…Comparative tables summarize strengths and gaps across key criteria, such as algorithms, evaluation methods, sensor data, and more. …”
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Multi-task hybrid dictionary learning for vehicle classification in sensor networks by Rui Wang, Miaomiao Shen, Tao Wang, Wenming Cao

“…Moreover, the problem of ℓ p -norm ( p ⩽ 1 ) sparse coding can been solved, to reduce the time complexity of this algorithm, compared with support vector machine, sparse representation classification, label consistent KSVD, Fisher discrimination dictionary learning, hybrid dictionary learning, multi-task sparse representation classification, and multi-task Fisher discrimination dictionary learning algorithms.…”
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Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

“…Med-VQA, as a classification task, is typically more challenging for algorithms to predict answers to open-ended questions than to closed-ended questions due to the larger number of answer categories for the former. …”
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End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification by Khalil Khan, Rehan Ullah Khan, Waleed Albattah, Ali Mustafa Qamar

“…Over the last ten years, computer vision researchers proposed different algorithms for plant disease identification using ML. …”
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A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model by Jingmei Zhou, Hui Chang, Xin Cheng, Xiangmo Zhao

“…So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements. …”
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Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F‐Race by David Garzón Ramos, Federico Pagnozzi, Thomas Stützle, Mauro Birattari

“…In this approach, a designer specifies a mission that the swarm must perform, and an optimization algorithm searches for the control software that enables the robots to perform the given mission. …”
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Exploring the Links Between Employee Resilience and Career Satisfaction: The Roles of Job Crafting and STARA Awareness by Dilek Yılmaz Börekçi, Cem Güney Özveren, Merve Gerçek

“…Also, this study examines whether smart technology, artificial intelligence, robotics, and algorithms (STARA) awareness moderates the relationship between those variables. …”
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