Electric Vehicle Health Monitoring with Electric Vehicle Range Prediction and Route Planning by Jayapradha Jayaram, J Chetan, Barun Nayak

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Utilizing Artificial Intelligence to Solve Construction Site Layout Planning Problems by Pham Vu Hong Son, To Dieu Lam

“…Compare the new hybrid algorithm with previously studied algorithms (GA) and the original algorithm (ALO), giving assessment of advantages and disadvantages when applied to solving discrete problems. …”
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Optimizing Non-Terrestrial Hybrid RF/FSO Links With Reinforcement Learning: Navigating Through Clouds by Abdullateef Almohamad, Mostafa Ibrahim, Sabit Ekin, Mazen Hasna, Saud Althunibat, Khalid Qaraqe

“…However, this approach faces many challenges that need to be addressed, including atmospheric turbulence, high path loss, and dynamic cloud formations. …”
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Does everyone have a price? Understanding people’s attitude towards online and offline price discrimination by Joost Poort, Frederik J. Zuiderveen Borgesius

“…Online stores can present a different price to each customer. Such algorithmic personalised pricing can lead to advanced forms of price discrimination based on the characteristics and behaviour of individual consumers. …”
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Present and future of artificial intelligence in dentistry by Divya Tandon, Jyotika Rajawat, Monisha Banerjee

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Adaptive Particle Swarm Optimization with Landscape Learning for Global Optimization and Feature Selection by Khalil Abbal, Mohammed El-Amrani, Oussama Aoun, Youssef Benadada

“…Despite these advances, a key problem lies in defining the configuration criteria of the adaptive algorithm. This study presents an adaptive variant of PSO that relies on fitness landscape analysis, particularly via ruggedness factor estimation. …”
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Survey of Path Planning for Aerial Drone Inspection of Multiple Moving Objects by Toma Sikora, Vladan Papić

“…Potential solutions and future trends were identified primarily in the form of heuristic and learning methods, state-of-the-art probabilistic prediction algorithms, and further specialization in regard to every scenario.…”
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Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions by Nisha Thorakkattu Madathil, Fida K. Dankar, Marton Gergely, Abdelkader Nasreddine Belkacem, Saed Alrabaee

“…FL has been considered for the design and development of many FL systems in various domains. Hence, we present a comprehensive survey and analysis of existing FL systems, drawing insights from more than 250 articles published in 2019-2024. …”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. …”
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Integrating Statistical and Earth <i>AgriData</i> in Small Farming Systems for Food Security by Theodore Tsiligiridis, Katerina Ainali

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(<italic>r, k, &#x03B5;</italic>)-Anonymization: Privacy-Preserving Data Publishing Algorithm Based on Multi-Dimensional Outlier Detection, <italic>k</italic>-Anonymity, and <itali... by Burak Cem Kara, Can Eyupoglu, Oktay Karakus

“…The proposed algorithm is capable of overcoming well-known shortcomings of the k-anonymity and <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-differential privacy models, and it has been confirmed by extensive tests on real-world datasets. …”
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Dynamic Economic Dispatch of Power System Network Having Thermal Units and Electric Vehicles using IGWO by Anjali Jain, Ashish Mani, Anwar Siddiqui

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Performance analysis of permanent magnet synchronous motor based on transfer function model using PID controller tuned by Ziegler-Nichols method by V Ramanaiah Nippatla, Srihari Mandava

“…Proportional Integral and Derivative (PID) controller tuning is one of the most important factors in control systems engineering for achieving an efficient and desired system performance. There are many tuning methods available but in this article, Ziegler-Nichols (ZN) tuning method is proposed to determine the gain values (Kp, Ki and Kd) of PID controller based on system behaviour. …”
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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

“…The results also validate that the QGWO algorithm significantly reduces time consumption while ensuring optimisation effectiveness when optimising SVM and LSTM.…”
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Automated evaluation of accessibility issues of webpage content: tool and evaluation by Jinat Ara, Cecilia Sik-Lanyi

“…In order to predict a webpage’s accessibility status, we implemented three distinct algorithms to analyze web features/objects considering both semantic and non-semantic aspects. …”
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Emerging Jordan blocks in the two-dimensional Potts and loop models at generic Q by Lawrence Liu, Jesper Lykke Jacobsen, Hubert Saleur

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Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset by Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, Carla Rimassa, Carla Taramasco

“…The dataset obtained from the EPIVIGILA system and the Chilean Epidemiological Surveillance Process contains information on over 6,000,000 patients, but, like many current datasets, it suffers from class imbalance. …”
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Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge by Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang

“…Therefore, in this study, we propose a deep learning Crater Detection Algorithms (CDA), called Lunar Topographic Knowledge Attention U-Net (LTKAU-Net) that integrates a Digital Elevation Model (DEM) and topographic knowledge. …”
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A hyperspectral approach for retrieving inherent optical properties, phytoplankton pigments, and associated uncertainties from non-water absorption by Brice Grunert, Audrey Ciochetto, Audrey Ciochetto, Colleen Mouw

“…The original Derivative Analysis and Iterative Spectral Evaluation of Absorption (DAISEA) algorithm was produced as a means to identify spectral features in hyperspectral absorption spectra free of explicit spectral assumptions in an effort to bypass these limitations. …”
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Associations of street-view greenspace exposure with cardiovascular health (Life’s Essential 8) among women in midlife by Sheryl L. Rifas-Shiman, Li Yi, Izzuddin M. Aris, Pi-I Debby Lin, Marie-France Hivert, Jorge E. Chavarro, Esra Suel, Peter James, Emily Oken

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