Smart cities and cumulative effects on fundamental rights by Athena Christofi

“…Spatially-grounded and socio-economic rights may be particularly affected. This paper explores the issue of cumulative effects on fundamental rights that may arise from the gradual accumulation of smart city projects in modern cities. …”
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Intelligent UAV Map Generation and Discrete Path Planning for Search and Rescue Operations by Víctor San Juan, Matilde Santos, José Manuel Andújar

“…Previously, an intelligent characterization of the searching area is performed to estimate a potential risk/occupancy degree of the gridding map. This estimation is mainly based on fuzzy logic, considering different factors. …”
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Chromaticity-Adaptive Generalized Spatial Modulation for MIMO VLC With Multi-Color LEDs by Ye Xiao, Yi-Jun Zhu

“…Therefore, the design algorithm of CA-GSM is derived with the optimal QLED selection pattern. …”
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Calculation and Dressing Simulation of the Profile of the Form Grinding Wheel for Modified ZI Worms by Jianxin Su, Jiewei Xu

“…Form grinding is a precision machining method for the modified ZI worms, and the grinding accuracy mainly depends on the dressing accuracy of the grinding wheel’s profile. …”
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Individual differences in temporal order judgment by Leah Fostick, Moti Zwilling, Harvey Babkoff

“…These results confirmed that direct ICO is used mainly when stimuli are difficult to group, and when grouping is possible, HPR is used. …”
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An alternative method to improve gravity field models by incorporating GOCE gradient data by Xiaoyun Wan, Jiangjun Ran

“…First, the proposed algorithm used to construct the observation equation is presented. …”
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Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model by Tianfeng Li

“…The construction of the traditional economic prediction model mainly depends on the theories of economic statistics and metrology, which cannot meet the prediction needs of the new era. …”
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Integrated Intelligent System for Rail Flaw Detection Vehicle by Xiangyang ZHANG, Jiangping LUO

“…Moreover, the identification of the damage mainly depends on the whole manual playback. In order to improve the signal processing speed and damage identification ability, and reduce the workload of manual playback, ultrasonic flaw detection system based on new bus and intelligent damage identification technology based on convolution neural network deep learning were carried out. …”
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REVEALING THE NOCTILUCENT CLOUD FIELDS STRUCTURE BY SOFTWARE PROCESSING OF SATELLITE IMAGES by beibut useinov, Andrei Solodovnik, Roman . Kleksin1, Pavel Leontyev, Beibut Useinov, Agniya Markova, Svetlana Kassimova

“… Noctilucent clouds, which develop in the summer months mainly over the polar regions of our planet, are often observed in temperate latitudes. …”
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Fault Diagnosis for Rotating Machinery Based on Convolutional Neural Network and Empirical Mode Decomposition by Yuan Xie, Tao Zhang

“…Classic fault diagnosis methods are mainly based on traditional signal features such as mean value, standard derivation, and kurtosis. …”
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OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images. by Gavrielle R Untracht, Rolando S Matos, Nikolaos Dikaios, Mariam Bapir, Abdullah K Durrani, Teemapron Butsabong, Paola Campagnolo, David D Sampson, Christian Heiss, Danuta M Sampson

“…Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. …”
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Stability Prediction of Residual Soil and Rock Slope Using Artificial Neural Network by Mahesh Paliwal, Himkar Goswami, Arunava Ray, Ashutosh Kumar Bharati, Rajesh Rai, Manoj Khandelwal

“…Residual soil is formed from weathering of the bedrock and mainly occurs in gentle-to-moderate slope inclinations. …”
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Risk Analysis and Route Optimization of Dangerous Goods Transportation Based on the Empirical Path Set by Haixing Wang, Qianqian Liang

“…First of all, by exploring the travel rules of dangerous goods transport vehicles hidden in the track data, combined with the path set generation algorithm, the method of determining the empirical path set of dangerous goods transport is studied. …”
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Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…This capability has been studied using various approaches, but previous research has mainly focused only on recognition accuracy using widely used open datasets. …”
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Construction and demolition waste material library based on vision systems dataZenodo by Maria Teresa Calcagni, Giovanni Salerno, Gloria Cosoli, Giuseppe Pandarese, Gian Marco Revel

“…The data obtained were standardised and organised in a format compatible with the main statistical analysis and machine learning tools to facilitate their integration into predictive models and decision-making processes. …”
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A systematic review of data privacy in Mobility as a Service (MaaS) by Zineb Garroussi, Antoine Legrain, Sébastien Gambs, Vincent Gautrais, Brunilde Sansò

“…Using the PRISMA framework, a comprehensive literature search across Web of Science, Elsevier, and IEEE Xplore databases resulted in the selection of 32 studies for detailed analysis.The review is structured around three main themes: (1) Privacy-Preserving Techniques, including anonymization strategies (k-anonymity, differential privacy, obfuscation), encryption methods (blockchain, cryptographic protocols), federated learning for decentralized data processing, and advanced algorithms for optimizing privacy budgets and balancing utility-privacy trade-offs; (2) User Trust and Privacy Perceptions, highlighting that trust in service providers is essential for MaaS adoption, privacy concerns may impact adoption but do not necessarily prevent it (the “privacy paradox”), and awareness of data misuse affects user trust and willingness to adopt MaaS; and (3) Regulatory Frameworks, focusing on the importance of GDPR compliance to ensure strict data protection through consent and transparency, and embedding privacy-by-design principles within MaaS architectures to safeguard user data from the outset.This review emphasizes the need for a holistic approach, integrating technological innovation, user-centered design, and strong regulatory oversight to effectively address privacy challenges in MaaS. …”
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Estimation of the aboveground carbon stocks based on tree species identification in Saihanba plantation forest by Ao Zhang, Xiaohong Wang, Xin Gu, Xiangyao Xu, Xintong Gao, Linlin Jiao

“…The results were shown that: 1) The identification effect of Scheme IV, as ascertained by screening three types of effective feature vectors based on the random forest algorithm, was the most effective, with an overall accuracy (OA) and kappa coefficient of 89.7% and 0.863, respectively. …”
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Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma by Chunhong Li, Jiahua Hu, Mengqin Li, Yiming Mao, Yuhua Mao

“…Encouragingly, we observed that the high-CMLBS patients may exhibit increased sensitivity to Alpelisib, AZD7762, BMS-536,924, Carmustine, and GDC0810, whereas they may demonstrate reduced sensitivity to Axitinib, AZD6482, AZD8055, Entospletinib, GSK269962A, GSK1904529A, and GSK2606414, suggesting that CMLBS may contribute to the selection of chemotherapeutic agents for HCC patients. …”
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Challenges of manufacturing for energy efficiency: towards a systematic approach through applications of machine learning by Elaheh Gholamzadeh Nabati, Maria Teresa Alvela Nieto, Dennis Bode, Thimo Florian Schindler, André Decker, Klaus-Dieter Thoben

“…Then, an analysis of currently available machine learning frameworks and their selection and implementation is conducted. Main findings The main result is a 5-step approach for increasing the energy efficiency of manufacturing processes through machine learning. …”
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RussianLanguage Thesauri: Automated Construction and Application For Natural Language Processing Tasks by Nadezhda S. Lagutina, Ksenia V. Lagutina, Aleksey S. Adrianov, Ilya V. Paramonov

“…The authors analyzed the main characteristics of open access thesauri for scientific research, evaluated trends of their development, and their effectiveness in solving natural language processing tasks. …”
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