New Design of Smooth PSO-IPF Navigator With Kinematic Constraints by Mahsa Mohaghegh, Hedieh Jafarpourdavatgar, Samaneh-Alsadat Saeedinia

“…Partial Swarm Optimization (PSO) and Potential Field (PF) are notable path-planning techniques, however, they may struggle to produce smooth paths due to their inherent algorithms, potentially leading to suboptimal robot motion and increased energy consumption. …”
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AI-driven assistive technologies in inclusive education: benefits, challenges, and policy recommendations by Chokri Kooli, Rim Chakraoui

“…This research examines the transformative role of AI-powered screen readers, voice assistants, and Natural Language Processing (NLP) interfaces in promoting inclusive education for students with visual, physical, and cognitive disabilities. …”
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A Review of Non-Fully Supervised Deep Learning for Medical Image Segmentation by Xinyue Zhang, Jianfeng Wang, Jinqiao Wei, Xinyu Yuan, Ming Wu

“…Finally, we discuss future research directions and challenges, offering insights for advancing the field and reducing dependence on extensive annotation.…”
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Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context by Ana Gavrovska, Goran Zajić, Vesna Bogdanović, Irini Reljin, Branimir Reljin

“…There has been a sustained effort in the research community over the recent years to develop algorithms that automatically analyze heart sounds. …”
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Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model by Victor Fernandez, Virgilio Pérez, Rosa Roig

“…Important aspects include analyzing power consumption, forecasting urban energy demand, and monitoring the State of Charge (SoC) of FEV batteries using innovative algorithms validated through real-world applications in Valencia (Spain) and Ljubljana (Slovenia). …”
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Concept of a Fuel Injector Control System Based on Electric Current Signals in OBD by Adrian POŁANIECKI, Kinga SZOST, Jędrzej MĄCZAK

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Speech Enhancement Based on Discrete Wavelet Packet Transform and Itakura-Saito Nonnegative Matrix Factorisation by Houguang LIU, Wenbo WANG, Lin XUE, Jianhua YANG, Zhihua WANG, Chunli HUA

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Analysis of the state of geometrization development and digital modeling in open-pit mining enterprises by M.S. Kunytska, D.S. Polishchyk, O.V. Shapochnikov

“…The relevance of the work is due to the requirements for optimizing mining processes, ensuring labor safety and increasing economic efficiency in the exploitation of deposits. The research methodology was a system analysis, statistical data processing and the study of scientific sources on the digitalization of the mining industry. …”
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AI-Enabled Digital Marketing in Startups: A Systematic Review of Global Practices and Egyptian Implementation Challenges by Wael Bedda, Heba Al-Ashry, Hamed Ead

“…Challenges such as ethical concerns, algorithmic bias, and cultural readiness still persist. …”
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A heretical point of view in masonry structures dynamics by Mario Argenziano, Enrico Babilio, Yoshiki Ikeda, Massimiliano Fraldi

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Automatic evaluation and optimization of map registration based on feature overlap area ratio by Jiqiu Deng, Xiaoyan Chen, Dong Zhang

“…The experiments prove that: the FOA metric is highly robust, and not affected by map types, map levels, and registration algorithms. Compared with other objective metrics, there is a stronger linear correlation between the FOA metric and the registration errors. …”
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Causal discovery and fault diagnosis based on mixed data types for system reliability modeling by Xiaokang Wang, Siqi Jiang, Xinghan Li, Mozhu Wang

“…However, due to limitations in existing frameworks regarding model representations and learning algorithms, only a few studies have explored causal discovery on non-Euclidean data. …”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…The study deals with the use of data mining techniques to build a classification model to predict students' academic performance. The research indicates that the use of machine learning models and data mining methods can reveal hidden patterns and relationships in big data, making them indispensable tools in the field of education analysis. …”
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Adaptive Real-Time Transmission in Large-Scale Satellite Networks Through Software-Defined-Networking-Based Domain Clustering and Random Linear Network Coding by Shangpeng Wang, Chenyuan Zhang, Yuchen Wu, Limin Liu, Jun Long

“…Network flow task management involves the efficient allocation and scheduling of data flow tasks within dynamic satellite networks, aiming to effectively address frequent changes in network topology and dynamic traffic fluctuations. Existing research primarily emphasizes traffic prediction and scheduling using spatiotemporal models and machine learning. …”
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Perceptual objective evaluation for multimodal medical image fusion by Chuangeng Tian, Juyuan Zhang, Lu Tang

“…Due to the inherent limitations of fusion algorithms, the quality of obtained medical fused images (MFI) varies significantly. …”
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Intelligent Gamification Mechanics Using Fuzzy-AHP and K-Means to Provide Matched Partner Reference by Fitri Marisa, Sharifah Sakinah Syed Ahmad, Nasreen Kausar, Sajida Kousar, Dragan Pamucar, Nasr Al Din Ide

“…The following steps are carried out sequentially in carrying out this research. First, analyze needs for a recommendation model that supports partner reference. …”
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Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning by Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang

“…Preceding forecasting algorithms primarily focused on time series analysis, often overlooking influential factors such as economic conditions. …”
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An online 11 kv distribution system insulator defect detection approach with modified YOLOv11 and mobileNetV3 by Arnav Bhagwat, Soham Dutta, Debdeep Saha, Maddikara Jaya Bharata Reddy

“…Studies involving various real-life scenarios show the efficacy and applicability of the proposed algorithmic pipeline.…”
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A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Traditional mathematical optimization algorithms tend to encounter issues like slow computational speed and difficulties in solving large-scale models, while heuristic algorithms are prone to fall into local optima. …”
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The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning by Yanjie Zhan

“…The system utilizes IoT devices to collect real-time data on students’ learning behaviors, social interactions, and environmental perceptions, which are then analyzed through multi-level feature extraction and deep learning algorithms. The research data comes from publicly available course data such as those from Coursera, encompassing multimodal information including video lectures, text materials, interaction records, and virtual environment perception data. …”
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