Deep learning approach for screening neonatal cerebral lesions on ultrasound in China by Zhouqin Lin, Haoming Zhang, Xingxing Duan, Yan Bai, Jian Wang, Qianhong Liang, Jingran Zhou, Fusui Xie, Zhen Shentu, Ruobing Huang, Yayan Chen, Hongkui Yu, Zongjie Weng, Dong Ni, Lei Liu, Luyao Zhou

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Improving the extraction of tomato seed oil and the retention of bioactive substances using pulsed electric field technology by Franka Markić, Klara Kraljić, Višnja Stulić, Sanda Pleslić, Tomislava Vukušić Pavičić, Nadica Maltar-Strmečki

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Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets by Shtwai Alsubai, Stephen Ojo, Thomas I. Nathaniel, Mohamed Ayari, Jamel Baili, Ahmad Almadhor, Abdullah Al Hejaili

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Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery by Ching-Chun Chang, Kai Gao, Shuying Xu, Anastasia Kordoni, Christopher Leckie, Isao Echizen

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Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization by Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey Ovre Agushaka, Apu Kumar Saha

“…SIRO models its search process after the SIR epidemiological compartmental model, predicting the susceptibility, infection, and recovery dynamics of solutions. …”
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Research on the applicability of image keypoints in underground mine environments by WANG Jiawen, LIAO Chenfei, ZHAO Zhongqi, HUANG Zhipeng, XIE Peilong, LIU Xinyi, HOU Yanhu, YANG Kehu

“…Additionally, we evaluated the efficiency of deep learning-based keypoint algorithms on low-power edge computing platforms, further validating their feasibility in industrial applications.…”
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Determination of Flood Subsidy (2023/2024) Based on SAR Images for Agricultural Land in Lower Saxony, Germany by C.-H. Yang, C. Stemmler, C. Röttger, C. Büker

“…EFTAS leveraged Synthetic Aperture Radar (SAR) data, primarily from Sentinel-1, to develop a semi-automated process for detecting and quantifying flood coverage over multiple time points. …”
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Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features by Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal

“…Job Shop Scheduling (JSS) is a critical application in diverse fields, such as cloud computing and manufacturing. Genetic Programming (GP) is acknowledged for its wide use in evolving dispatching rules for JSS, offering an automated approach to heuristic generation. …”
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ESTIMATING THE PROPERTIES OF TECHNOLOGICAL SYSTEMS BASED ON FUZZY SETS by Vladimir Beskorovainyi, Heorhii Berezovskyi

“…The subject of the research in the article is the process of evaluating the properties of technological systems at the stages of their design and reengineering. …”
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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images by Mohammed Alsieni, Khaled H. Alyoubi

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Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…Three improved binary Grey Wolf Optimization (GWO) approaches are proposed in this paper to optimize the feature selection process by enhancing the feature selection accuracy while selecting the least possible number of features. …”
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The Use of Surgical Splints in Orthognathic Surgery: A Bibliometric Study by Francisco Samuel Rodrigues Carvalho, Déborah Isis de Oliveira Barbosa, Iara Furtado Torquato, André Mattos Britto de Souza, Roberta Dalcico, Filipe Nobre Chaves, Fábio Wildson Gurgel Costa

“…The bibliometric study can have a qualitative character through the scope of articles in a certain area of knowledge. It is a selection process that can track a topic or scientific production. …”
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A menu of standards for green infrastructure in England: effective and equitable or a race to the bottom? by Mike Grace, Alison Smith, Ian Mell, Jane Houghton, Peter Neal

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A New CDM-Based Approach for the Nonlinear Numerical Structural Analysis of Flax Fiber Reinforced Plastic by Rostislav Svidler, Roman Rinberg, Sascha Mueller, Lothar Kroll

“…Numerical implementation is achieved through a user-defined field (USDFLD) subroutine, accompanied by a pre-processing Python script for managing experimental data, computing data fields, and calculating parameters. …”
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Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges by Ons Aouedi, Alessio Sacco, Latif U. Khan, Dinh C. Nguyen, Mohsen Guizani

“…By distributing the training process across devices, FL minimizes the need for centralized data storage and processing, leading to more scalable and resilient systems. …”
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Optimizing sustainability: information aggregation in smart factories for energy efficiency enhancement by Mohd Anjum, Naoufel Kraiem, Hong Min, Yousef Ibrahim Daradkeh, Ashit Kumar Dutta, Sana Shahab

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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

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Sentimental analysis based federated learning privacy detection in fake web recommendations using blockchain model by Jitendra Kumar Samriya, Amit Kumar, Ashok Bhansali, Meena Malik, Varsha Arya, Wadee Alhalabi, Bassma Saleh Alsulami, Brij B. Gupta

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Transition metal oxide based resistive random-access memory: An overview of materials and device performance enhancement techniques by Disha Yadav, Amit Krishna Dwivedi, Shammi Verma, Devesh Kumar Avasthi

“…It is a promising technology owing to its attributes like minimal power usage, simple structure, long endurance cycles, high retention time, integrability with the existing complementary metal oxide semiconductor process (CMOS), and excellent scalability. It is highly attractive for several applications like neuromorphic computing, Internet of Things, non-volatile logics, hardware security, and radiation hardened electronics. …”
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Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table by Haibo Shi, Peng Chen, Xianglei Liu, Zhonghua Hong, Zhen Ye, Yi Gao, Ziqi Liu, Xiaohua Tong

“…It could acquire 3D displacement responses of large structures at high sampling frequencies in real time without requiring a high-performance computing cluster.…”
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