Innovative Approaches to Sustainable Urban Planning: Analysing Current Trends by Meruyert Baidrakhmanova, Gani Karabayev, Seimur Mamedov

“…The study includes a comprehensive review of relevant international research, along with examples of practical implementations of the findings. …”
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A Novel Method for Technology Roadmapping: Nanorobots by Huailan Liu, Zhen Li, Rui Zhang, Yufei Liu, Yixin He

“…The methodology begins with text feature extraction, clustering algorithms, and theme mining to identify dominant technological themes. …”
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Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

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Governing invisibility in the platform economy: excavating the logics of platform care by Vicky Kluzik

“…There has been a mounting research output on the social dimensions of the datafication, fragmentation and platformisation of infrastructures. …”
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DRAFTS: A Deep-learning-based Radio Fast Transient Search Pipeline by Yong-Kun Zhang, Di Li, Yi Feng, Chao-Wei Tsai, Pei Wang, Chen-Hui Niu, Hua-Xi Chen, Yu-Hao Zhu

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The role of precision tool positioning in enhancing machining accuracy by Tuyboyov Oybek, Baydullayev Azamat, Jeltuxin Andrey, Muxiddinov Zayniddin

“…Utilizing tools such as laser interferometers, autocollimators, and predictive thermal simulations, the research addresses critical challenges in tool positioning accuracy caused by thermal fluctuations and geometric errors. …”
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The classroom as a space of resistance. Cooperation, gratitude and collective memory between neuroscience and social science by Dévrig Mollès, Marcos Parada-Ulloa

“…Theoretically, we aim to build a historical awareness and resilience capacities to address the algorithmic colonization. Cooperative pedagogy and neuroscience bring constructive tools. …”
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Modelling Tyre-Road Noise with Data Mining Techniques by Elisabete Fraga FREITAS, Joaquim TINOCO, Francisco SOARES, Jocilene COSTA, Paulo CORTEZ, Paulo PEREIRA

“…The research aimed to establish tyre-road noise models by using a Data Mining approach that allowed to build a predictive model and assess the importance of the tested input variables. …”
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Morphing Quadrotors: Enhancing Versatility and Adaptability in Drone Applications—A Review by Siyuan Xing, Xuhui Zhang, Jiandong Tian, Chunlei Xie, Zhihong Chen, Jianwei Sun

“…By synthesizing the latest research and outlining prospective directions, this paper aims to serve as a valuable reference for researchers and practitioners dedicated to advancing the field of morphing quadrotor technologies.…”
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Fairness and Explanations in Entity Resolution: An Overview by Tiago Brasileiro Araujo, Vasilis Efthymiou, Kostas Stefanidis

“…Fairness-aware ER seeks to mitigate bias that may arise from algorithmic decision-making or imbalanced training data, while eXplainable Entity Resolution (XER) aims to enhance transparency and trust in ER. …”
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Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer by O. I. Kit, D. V. Burtsev, A. Yu. Maksimov

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A Trajectory Data-Driven Study on the Evolution Mechanism and Control Strategies of Lane-Changing Behavior in Intersection Areas of Expressways by Jiayou Wu, Yongwei Lei, Shaoliu Liu, Qiang Luo

“…Therefore, in accordance with the research requirements, this study selected the CitySim dataset as the foundation after comparison and utilized intelligent algorithms to extract 1349 lane-changing samples from a specific weaving section within the dataset for analyzing the lane-changing behavior characteristics of vehicles in weaving areas. …”
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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…Based on big data and machine learning techniques, the research on feature engineering and model fusion will bring about major changes in data analysis and modeling of anthropogenic heat. …”
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Optimization of university dormitory renovation in severe cold regions under the impact of climate change by Anqi Wang, Shuhua Yu, Chunhui Shi, Yanhua An

“…Two optimization algorithms perform low-dimensional (three-objective) and high-dimensional (eight-objective) optimizations. …”
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Dual-Modal Approach for Ship Detection: Fusing Synthetic Aperture Radar and Optical Satellite Imagery by Mahmoud Ahmed, Naser El-Sheimy, Henry Leung

“…This research presents a novel fusion framework designed to enhance ship detection by integrating SAR and optical imagery. …”
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New online in-air signature recognition dataset and embodied cognition inspired feature selection by Yuheng Guo, Yuhan Zhou, Yifan Ge, Junwei Yu, Gen Li, Hiroyuki Sato

“…This dataset addresses a critical gap in the field by providing a robust foundation for advancing research in cognitive computation and biometric authentication. …”
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On cofactored verification of EdDSA signatures by Adrian Cinal, Oliwer Sobolewski

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RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

“…Formally, the problems of indeterminate forms evaluation in the system analysis and the operations research theory are largely similar. However, there are also fundamental differences that lie in the following. …”
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Identifying Suicidal Ideation Through Automatic Extraction of Emotional Traces in Suicide Notes by Angel Hernandez-Castaneda, Rene Arnulfo Garcia-Hernandez, Yulia Ledeneva

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ChatGPT in education: Its value, accuracy, and regulation by Angelo Frank Pacala

“…It is a natural language processing technology that uses machine learning algorithms to generate human-like responses to various queries and conversations in real time. …”
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