Multi-Objective Clustering Based on Congestion Games With Player-Specific Cost Functions by Dalila Kessira, Mohand-Tahar Kechadi

“…Cluster analysis, the unsupervised identification of homogeneous groups within data, has become essential in numerous domains due to its broad applicability. …”
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Urban forms interpretation for the car-era spaces reuse. A comparison of walking, automobile, and sustainable cities by Alessia Guaiani

“…Over the last century, through the Modern Movement and the impulses of the CIAM, the studies of typological, technological, and stylistic innovation necessary to give the character of ‘rationality’ to the shape construction, summarized in the metaphor of ‘machinist civilization’, have produced infrastructures and urban spaces dedicated to the automobile efficiency. Today, the issue of sustainability is bursting into all sectors, shaping new urban and mobility models, mainly based on non-motorized travel. …”
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Node Placement Analysis for Overlay Networks in IoT Applications by Yuxin Wan, Junwei Cao, Kang He, Huaying Zhang, Peng Yu, Senjing Yao, Keqin Li

“…One important issue in the overlay routing model is the overlay node placement problem (ONPP). …”
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Numerical Investigation on Influential Factors for Quality of Smooth Blasting in Rock Tunnels by Baoping Zou, Zhipeng Xu, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…Compared to the expensive and time-consuming experiments including physical modelling and field tests, numerical modelling, as a cost-efficient approach, offers an attractive alternative to investigate the influential factors in terms of weight, which might be more applicable and reliable for the optimization of smooth blasting parameters. …”
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Boreal tree species classification using airborne laser scanning data annotated with harvester production reports, and convolutional neural networks by Raul de Paula Pires, Christoffer Axelsson, Eva Lindberg, Henrik Jan Persson, Kenneth Olofsson, Johan Holmgren

“…By integrating HPRs into the modelling process, this approach provides a practical solution for addressing challenges in remote sensing data annotation for forestry applications. …”
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Sistem Manajemen Proyek Berbasis Website Dengan Metode Kanban by Florence Aurelia Widjaja, Bhustomy Hakim

“…The system was developed using the Next.js framework, applying the Kanban method and the SDLC Waterfall development model. The research involved problem identification, literature review, and interviews with project managers to gather both functional and non-functional requirements. …”
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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

“…The operational efficiency of many industrial processes is greatly affected by condition monitoring, which has become more and more important in the detection and forecast of electrical machine failures. …”
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Additive manufacturing of a 3D-segmented plastic scintillator detector for tracking and calorimetry of elementary particles by Tim Weber, Andrey Boyarintsev, Umut Kose, Botao Li, Davide Sgalaberna, Tetiana Sibilieva, Johannes Wüthrich, Siddartha Berns, Eric Boillat, Albert De Roeck, Till Dieminger, Matthew Franks, Boris Grynyov, Sylvain Hugon, Carsten Jaeschke, André Rubbia

“…This work presents an efficient and economical production process for manufacturing plastic-based scintillator detectors, adaptable to various sizes and geometries.…”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

“…This study focuses on optimizing and comparing various machine learning models for ASD diagnosis, while incorporating explainable AI techniques to ensure model transparency and interpretability. …”
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The Adsorption Potential of Cr from Water by ZnO Nanoparticles Synthesized by Azolla pinnata by Ou Wenjie, Waqas Ahmed, Fu Xiuxian, Wang Lu, Li Jiannan, Yang Jie, Rana Muhammad Ammar Asghar, Mohsin Mahmood, Juha M. Alatalo, Muhammad Imtiaz, Weidong Li, Sajid Mehmood

“…The experimental data were also highly consistent with the Langmuir isotherm model calculations.…”
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Detachment of the Subducting Slab in Ancient Subduction Zones Discerned Using Machine Learning by Quan Ou, Dongyu Zheng, Alexander R. L. Nichols, Kun Wang, Sheng‐Ping Qian, Feng Zi, Anlin Ma, Yun‐Chuan Zeng, Zongying Huang, Jia Liao, Zixi Hou

“…Achieving an accuracy exceeding 98%, the model efficiently extracts the distinctive characteristics from each basalt type. …”
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Intentional heterogeneity in autologous cell-based gene therapies: strategic considerations for first-in-human trials by Antoni Ribas, Carl H June, Philip D Greenberg, Crystal L Mackall, Marcela V Maus, John E Connolly, Christopher R Cabanski, Ute Dugan, Mark D Stewart, Jeff D Allen, EnJun Yang, Alexander Marson

“…Recent advances in genome editing technologies have identified hundreds of gene edits that improve T-cell functionality in preclinical models. However, the limited direct translatability of these findings and the impracticality of testing each of the individual edits in a traditional clinical trial highlight the need for more efficient strategies.This article provides an overview of genome-wide screens that identify gene knockouts and knock-ins to enhance T-cell function and the limitations with translating these results to human trials. …”
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Classification and recognition of spatio-temporal behavior of ships based on deep learning of trajectory feature images by Yu ZHOU, Liang HUANG, Chunhui ZHOU, Yuanqiao WEN, Yamin HUANG, Jiaci WANG

“…ObjectiveTo address the issues of low efficiency and inaccurate ship behavior recognition when handling large-scale ship trajectory data, this paper proposes a method for recognizing and classifying ship behaviour based on trajectory feature image modelling and deep learning.MethodA visual coding model is constructed for the salient features, including speed, acceleration, heading, steering rate, and trajectory point density. …”
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Deep learning-based crop health enhancement through early disease prediction by Venkata Santhosh Yakkala, Krishna Vamsi Nusimala, Badisa Gayathri, Sriya Kanamarlapudi, S. S. Aravinth, Ayodeji Olalekan Salau, S. Srithar

“…Additionally, the model aims to identify specific diseases affecting the crops if they are found to be diseased. …”
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Optimization of the operating mode of a squirrel-cage induction motor by D. A. Vasiliev, L. A. Panteleeva, E. I. Gracheva

“…To implement energy-efficient modes of operation of AM, operating in the resources of a rational electric drive, it is necessary to determine the numerical values of the parameters of the AM equivalent circuit, the currents flowing through the circuit element. …”
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A goldilocks computational protocol for inhibitor discovery targeting DNA damage responses including replication-repair functions by Davide Moiani, Davide Moiani, Davide Moiani, John A. Tainer, John A. Tainer, John A. Tainer

“…By employing an efficient VS protocol to examine protein-protein interfaces (PPIs) and allosteric interactions, we identify ligand binding sites beyond active sites, leveraging in silico advances for molecular docking and modeling to screen PPIs and multiple targets. …”
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Online Estimation Method and Verification of Sampling Mass for Lunar Drilling in the Chang’E-6 Mission by Gao Zhang, Lei Guo, Weiwei Zhang, Shengyuan Jiang, Xiangjin Deng, Nai Zhang, Zongquan Deng

“…Based on the mechanism of machine–regolith interaction and the experimental data of ground drilling and sampling, this paper constructs a sampling status identification model and a fuzzy pre-judgment model of sampling mass based on the downhole WOB based on the response characteristic parameters of the drilling–sampling stage. …”
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Machine Learning for Health Insurance Prediction in Nigeria by Victor Enemona Ochigbo, Oluwasogo Adekunle Okunade, Emmanuel Gbenga Dada, Oluyemi Mikail Olaniyi, Oluwatoyosi Victoria Oyewande

“…The outcome of this paper gives insights in the efficiency of each machine learning models used to forecast medical insurance coverage, and identifying key determinants influencing insurance coverage can assist policymakers and healthcare stakeholders in devising targeted strategies to improve healthcare access and affordability for the Nigerian people. …”
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An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning by Maram Fahaad Almufareh, Mamoona Humayun, Zulfiqar Ahmad, Asfandyar Khan

“…Predominantly, the study also indicates precision in the temperature variation prediction model through the use of the predictive model based on the linear regression and random forest algorithms. …”
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Strategic innovations and future directions in deep learning for engineering applications: a systematic literature review by Arianna G. Tobias, Javeed Kittur

“…Key trends include strategic deep learning model development, practical evaluation frameworks, and the optimization of efficiency. …”
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