A multiobjective continuation method to compute the regularization path of deep neural networks by Augustina Chidinma Amakor, Konstantin Sonntag, Sebastian Peitz

“…For linear models, it is well known that there exists a regularization path connecting the sparsest solution in terms of the ℓ1 norm, i.e., zero weights and the non-regularized solution. …”
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SLPOD: superclass learning on point cloud object detection by Xiaokang Yang, Kai Zhang, Yangyue Feng, Beibei Su, Yiming Cai, Kaibo Zhang, Zhiheng Zhang

“…To tackle this challenge, we introduce SLPOD, a Superclass-based point cloud object detection algorithm. Employing a siamese network structure, SLPOD conducts unsupervised clustering of samples within the same category to enhance the extraction of individual-specific features, thereby improving detection accuracy when confronted with complex datasets. …”
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A Prototype for Computing the Distance of Features of High-Pressure Die-Cast Aluminum Products by Luis Alberto Arroniz Alcántara, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, José Alejandro Fernández Ramírez

“…Automotive manufacturers are changing their product models faster due to the customization of users’ demands. …”
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Image-Based Iron Slag Segmentation via Graph Convolutional Networks by Wang Long, Zheng Junfeng, Yu Hong, Ding Meng, Li Jiangyun

“…In the future work, we will dedicate our efforts to the weakly supervised learning for quick annotation of big data stream to improve the generalization ability of current models.…”
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Machine Learning Advancements in Urban Traffic Simulation: A Comprehensive Survey by Harshit Maheshwari, Li Yang, Richard W. Pazzi

“…Traditional simulation models often struggle to capture the intricacies of urban traffic patterns, leading to unrealistic simulations, which negatively affect traffic management and urban planning. …”
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Using Segmentation to Boost Classification Performance and Explainability in CapsNets by Dominik Vranay, Maroš Hliboký, László Kovács, Peter Sinčák

“…These results demonstrate a significant performance improvement over traditional CapsNet and CNN models. …”
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Machine Learning Techniques and Recommender Systems for Large Educational Data by Ammar Mohammed, Murtadha Hamad

“…The finding results show the SVD achieved a 91% HR and KNN achieved a 96% HR while the KNN algorithm achieved highest accuracy of 99%, closely followed by SVD at an accuracy of 96% but when utilized the Grid Search (GS) technique with the recommended ML algorithms achieved HR of 99% for SVD and 98% for KNN. …”
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Determination method for structuring specialists skilled in motor transport in the region by N. N. Yakunin, N. V. Yakunina, O. Yu. Frolov, I. Kh. Khasanov

“…Classical methods of analysis, synthesis, structural modelling, provisions of the theory of motor vehicles maintenance, methods of mathematical analysis and fundamentals of algorithms are used in the work. …”
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Non‐local low‐rank constraint‐based self‐consistent PMRI reconstruction using eigenvector maps by Jizhong Duan, Ting Pan, Yu Liu, Junfeng Wang

“…Recently, the L1 norm and total variation were combined with the ESPIRiT model to improve the reconstruction quality of magnetic resonance (MR) images. …”
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An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

“…Furthermore, the paucity of data diversity leads to a singular function of the model that cannot provide comprehensive decision support for improving maintenance measures. …”
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Control and management in a complex biotechnical system of a dairy farm by V. V. Kirsanov, R. A. Baisheva

“…The paper presents the scheme of transformation and expansion of machine functionality in a biotechnical system; mathematical modeling of the dependence of technological signals controlled by the functions of local biotechnological systems (LBTS); mathematical model of diagnostic signals about the corresponding parameters of technical blocks of LBTS. …”
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Machine Learning-Based Environment-Aware GNSS Integrity Monitoring for Urban Air Mobility by Oguz Kagan Isik, Ivan Petrunin, Antonios Tsourdos

“…This study introduces a novel machine learning-based GNSS integrity monitoring framework that incorporates environment recognition to create environment-specific error models. Using a comprehensive Hardware-in-the-Loop (HIL) simulation setup, extensive data were generated for suburban, urban, and urban canyon environments to train and validate the models. …”
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Joint Prediction of U.S. Rice Yields and Methane Emissions: A Machine Learning Approach by Jameson Augustin, Munisamy Gopinath, Berna Karali, Yuhan Rao

“…Most importantly, this study advances an integrated economic-environmental modeling in agriculture by analyzing yield-emissions trade-offs through the Non-dominated Sorting Genetic Algorithm II (NSGA-II), revealing an unexpected synergy where practices that improve economic productivity also reduce environmental impact, as higher yields correlate with lower methane emissions.…”
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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…The gender-specific DGA-EBPSO algorithm incorporates a hybrid mutation strategy to improve feature selection efficiency and considers gender-based variations in emotional expression. …”
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Decentralized Voltage Prediction in Multi-Area Distribution Systems: A Privacy-Preserving Collaborative Framework by Jianfeng Yan, Beibei Wang, Zhiqiang Wu, Zhengkai Ding

“…To ensure the accuracy of DVP, collaborative modeling using power information from neighboring areas is imperative. …”
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Three-Dimensional Drone Cell Placement: Drone Placement for Optimal Coverage by Aniket Basu, Hooman Oroojeni, Georgios Samakovitis, Mohammad Majid Al-Rifaie

“…Algorithmic diversity has been explored, leading to several modifications and improvements in the implemented models. …”
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Numerical Optimization of Laser Powder Bed Fusion Process Parameters for High-Precision Manufacturing of Pure Molybdenum by İnayet Burcu Toprak, Nafel Dogdu, Metin Uymaz Salamci

“…This study presents a comprehensive numerical investigation of the Laser Powder Bed Fusion (LPBF) process for pure molybdenum, focusing on high-precision modeling and process optimization. The powder spreading behavior is simulated using the Discrete Element Method (DEM), while molten pool dynamics are analyzed through Computational Fluid Dynamics (CFD). …”
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Spatial Pattern and Influencing Factor Analysis of Parcel Lockers in London by Kang Xinwei

“…Therefore, for the first time, this paper introduces clustering methods into the study of last-mile delivery on parcel lockers; moreover, it builds a methodology to analyse the spatial distribution of parcel lockers and identifies parcel locker clustering based on the DBSCAN algorithm. This study employs Ordinary Least Squares Regression and Geographically Weighted Regression models with data on the socioeconomic, built environment and public transportation to quantify the relationship between the degree of parcel locker clustering in London and these factors at the global and local levels. …”
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Artificial Intelligence in Glioblastoma—Transforming Diagnosis and Treatment by Alen Rončević, Nenad Koruga, Anamarija Soldo Koruga, Robert Rončević

“…Furthermore, machine learning models can integrate multimodal data to develop personalized treatments. …”
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Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints by Lijuan Li, Siyi Wang, Jichao Ma, Xiaobing Gao

“…Firstly, a parametric geometric modeling approach is developed to define measurement spaces for individual features, accompanied by an innovative maximal complete subgraph mining algorithm to intelligently identify shared feasible measurement regions among multiple features. …”
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