Data-Driven Approaches to Mining Passenger Travel Patterns: “Left-Behinds” in a Congested Urban Rail Transit Network by Xing Chen, Leishan Zhou, Zixi Bai, Yixiang Yue, Bin Guo, Hanxiao Zhou

“…This paper proposes a methodology to mine passenger travel patterns based on fare transaction records from automatic fare collection (AFC) systems and Automatic Vehicle Location (AVL) data from Communication Based Train Control (CBTC) Systems or tracking systems. …”
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Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning by Liu Liu, Rongyu Sun, He Zhao

“…Here an automatic identification pipeline based on machine learning model ShuffleNet V2 is developed, after trained with large amount of raw data, high efficiency is achieved. …”
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YOLOv8n-CSD: A Lightweight Detection Method for Nectarines in Complex Environments by Guohai Zhang, Xiaohui Yang, Danyang Lv, Yuqian Zhao, Peng Liu

“…At present, the picking of nectarines mainly relies on manual completion in China, and the process involves high labor intensity during picking and low picking efficiency. …”
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Applications of Machine Learning Algorithms in Geriatrics by Adrian Stancu, Cosmina-Mihaela Rosca, Emilian Marian Iovanovici

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TriagE-NLU: A Natural Language Understanding System for Clinical Triage and Intervention in Multilingual Emergency Dialogues by Béatrix-May Balaban, Ioan Sacală, Alina-Claudia Petrescu-Niţă

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Agricultural robots and automated machinery for handling of nursery seedlings with special reference to the transplanting devices by Abhijit Khadatkar, C. P. Sawant, A. P. Magar, Vijay Kumar

“…Many semi-automatic transplanters were developed, which demand manual labour for feeding seedlings into cups, resulting in reduced efficiency. …”
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Translation Quality Regarding Low-Resource, Custom Machine Translations: A Fine-Grained Comparative Study on Turkish-to-English Statistical and Neural Machine Translation System... by Gökhan Doğru

“…In this field, the type and size of the corpus used for training MT engines have presented problems for both statistical MT (SMT) systems as well as neural MT (NMT) systems, being the two dominant corpusbased approaches. …”
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CityGML-based model for the recovery and management of built cultural heritage: a systematic review towards digitalized processes by Margherita Lasorella, Elena Cantatore

“…This extensibility is also reflected in the application of external rules providing structured logic for Cultural Heritage management and automatic or semi-automatic support for policymakers’ decisions in collaborative and multi-disciplinary digital environments. …”
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TOSQ: Transparent Object Segmentation via Query-Based Dictionary Lookup with Transformers by Bin Ma, Ming Ma, Ruiguang Li, Jiawei Zheng, Deping Li

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Synthetic data generation for anomaly detection on table grapes by Ionut M. Motoi, Valerio Belli, Alberto Carpineto, Daniele Nardi, Thomas A. Ciarfuglia

“…Computer vision and robotics are increasingly employed for the automatic detection of such issues, particularly using data-driven solutions. …”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

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Organization of walking of the lower-extremity exoskeleton using the control of the supporting foot by Zh. N. Issabekov, I. K. Tsybrii, K. A. Moroz

“…The authors have developed a digitalized automatic control scheme for the movement of the feet and the center of mass of the human exoskeleton, which will largely reduce the load on a sick person.Discussion and Conclusions. …”
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MODELING OF POWER SYSTEMS AND TESTING OF RELAY PROTECTION DEVICES IN REAL AND MODEL TIME by I. V. Novash

“…Some quantitative data on the distribution of RTDS in different countries and Russia are presented. It is noted that the leading energy universities of Russia use the real-time simulation not only to solve scientific and technical problems, but also to conduct training and laboratory classes on modelling of electric networks and anti-emergency automatic equipment with the students. …”
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Reinforcement Learning-Based Control for Robotic Flexible Element Disassembly by Benjamín Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Carlos Calleja, Itziar Cabanes

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Scientific support to RZD Holding’s strategic tasks implementation by B. M. Lapidus

“…The pivotal growth of JSC RZD efficiency envisaged in the Strategy (where the main strategic tasks include: improvement of business magnitude, core business efficiency, and quality of products, services, and processes) suggests implementation of an innovative ‘breakthrough’ as long as traditional organizational methods aimed to improve efficiency are substantially limited under the terms of existing State control system. For the present, the Russian Railways have some innovative growth areas, which actually are technical facilities designed up to the world standards. …”
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Voltage and Frequency Regulation in Interconnected Power Systems via a (1+PDD²)-(1+TI) Cascade Controller Optimized by Mirage Search Optimizer by Kareem M. AboRas, Ali M. Elkassas, Ashraf Ibrahim Megahed, Hossam Kotb

“…The combined application of Load Frequency Control (LFC) and Automatic Voltage Regulation (AVR), known as Automatic Generation Control (AGC), manages active and reactive power to ensure system stability. …”
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Railway crane platform stabilization system by D. A. Potakhov

“…Results of modeling modernized technical system are presented, which confirm the advisability of using the stabilization system on railway cranes when passing curved track sections.…”
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Advanced Sensor Integration and AI Architectures for Next-Generation Traffic Navigation by Cosmina-Mihaela Rosca, Adrian Stancu, Ionuț-Adrian Gortoescu

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Arabic speech recognition using end‐to‐end deep learning by Hamzah A. Alsayadi, Abdelaziz A. Abdelhamid, Islam Hegazy, Zaki T. Fayed

“…To the best of our knowledge, end‐to‐end deep learning approach has not been used in the task of diacritised Arabic automatic speech recognition. To fill this gap, this work presents a new CTC‐based ASR, CNN‐LSTM, and an attention‐based end‐to‐end approach for improving diacritisedArabic ASR. …”
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Innovative Automated Manual Transmission (AMT) System for Bcycles: Design, Implementation and Control by Ahmet Kağızman, Fehmi Can Ay, Bengisu Kilinç, Talha Enes Ercan, Volkan Sezer

“…The developed system has been integrated into a manual transmission bicycle and thoroughly tested, with its ability to perform automatic gear shifts with high accuracy scientifically proven.…”
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