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  1. 41

    Dynamic Gesture Recognition and Interaction of Monocular Camera Based on Deep Learning by SUNBo wen, YU Feng

    Published 2021-02-01
    “…Monocular camera is the most common accessory of computer or mobile devices. With the corresponding gesture recognition and interaction algorithm, gesture interaction can be carried out. …”
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  2. 42

    Side-chain moieties from the N-terminal region of Aβ are Involved in an oligomer-stabilizing network of interactions. by Kaja Przygońska, Jarosław Poznański, Ulrik H Mistarz, Kasper D Rand, Michał Dadlez

    Published 2018-01-01
    “…Gas-phase HDX-MS revealed a sequence-specific engagement of the side-chains of residues located at the N-terminal part of the peptide in a network of oligomer-stabilizing interactions. Oligomer-specific interactions were no longer observed in the case of the fully scrambled sequence. …”
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    Gender differences in symptom interactions between problematic smartphone use and social anxiety in adolescents: a network analysis by Sipu Guo, Xinyuan Zou, Yanqiang Tao, Yichao Lv, Xiangping Liu, Silin Huang

    Published 2025-02-01
    “…Therefore, this study investigated the gender differences in the symptom interactions between PSU and social anxiety via symptom network analysis. …”
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  6. 46

    Mixed Reality Human–Robot Interface With Adaptive Communications Congestion Control for the Teleoperation of Mobile Redundant Manipulators in Hazardous Environments by Krzysztof Adam Szczurek, Raul Marin Prades, Eloise Matheson, Jose Rodriguez-Nogueira, Mario Di Castro

    Published 2022-01-01
    “…Robotic interventions with redundant mobile manipulators pose a challenge for telerobotics in hazardous environments, such as underwater, underground, nuclear facilities, particle accelerators, aerial or space. …”
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    Distributed Optimization for Mobile Robots under Mobile Edge Computing Environment by Hui Luo, Quan Yin

    Published 2021-01-01
    “…Then, a semidistributed algorithm is introduced to solve the distributed optimization problem in the mmW network. By improving the autonomous decision-making ability of the mmW base station, the signaling overheads caused by information interaction are reduced, and information leakage is effectively avoided. …”
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  10. 50

    Trust in Smart City Mobility Applications: A Multi-Agent System Perspective by Maryam Javaherian

    Published 2025-05-01
    “…Agents gather and process information, make decisions with incomplete data, and interact to achieve goals. Real-world data will validate the approach, enhancing decision-making and improving urban mobility. …”
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    AI-Aided Proximity Detection and Location-Dependent Authentication on Mobile-Based Digital Twin Networks: A Case Study of Door Materials by Woojin Park, Hyeyoung An, Yongbin Yim, Soochang Park

    Published 2024-10-01
    “…Nowadays, mobilemobile interaction is becoming a fundamental methodology for human–human networking services since mobile devices are the most common interfacing equipment for recent smart services such as food delivery, e-commerce, ride-hailing, etc. …”
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  13. 53

    The Impact of Augmented Reality Through User-Platform Interactions Towards Continuance Intention with the Effect of User Generation by Zian Shah Kabir, Kyeong Kang

    Published 2024-11-01
    “…Although AR engages more interactions in mobile platforms, there is a significant gap in assessing UX, considering the physical distance between users and virtual products in a mobile platform. …”
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  14. 54

    Changing approaches to interactive marketing communications due to the development of 5G technology by L. G. Akhmaeva

    Published 2022-01-01
    “…The process of changing approaches to interactive marketing communications, due to the development of 5G technology – high-speed data transmission over 5G wireless networks has been reviewed. …”
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  15. 55

    Tools of Mobile Marketing of Today’s Business-Structures by S. B. Baurina

    Published 2024-05-01
    “…These factors promote the development of mobile marketing, a new and promising trend of work, which is characterized by interactive contact with target audience beyond space limits. …”
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  16. 56

    MSCD-YOLO: A Lightweight Dense Pedestrian Detection Model with Finer-Grained Feature Information Interaction by Qiang Liu, Zhongmin Li, Lei Zhang, Jin Deng

    Published 2025-01-01
    “…In our model, the light-weight backbone network MobileViT is used to reduce the number of parameters while efficiently extracting both local and global features; the SCNeck neck network is designed to fuse the extracted features without losing information; and the DEHead detection head is utilized for multi-scale feature fusion to detect the targets. …”
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  17. 57

    Characteristics and influencing factors of daily population flow in the Wuhan Metropolitan Region based on mobile signaling data by DENG Huilin, LIN Sainan

    Published 2025-02-01
    “…[Methods] Taking the Wuhan Metropolitan Region as the research object and based on the mobile signaling big data, point of interest (POI) data and social and economic data in November 2020, the social network analysis method and quadratic assignment procedure (QAP) regression model were applied to analyze the temporal and spatial characteristics of daily population flow in the Wuhan Metropolitan Region at the districts and counties scale. …”
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  18. 58

    A Diachronic Agent-Based Framework to Model MaaS Programs by Maria Nadia Postorino, Giuseppe M. L. Sarnè

    Published 2024-11-01
    “…The paper proposes a diachronic network model for representing travel services available in a given MaaS platform by using an agent-based approach to simulate the interactions between travel operators and travelers. …”
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    Neural Networks in the Delayed Teleoperation of a Skid-Steering Robot by Kleber Patiño, Emanuel Slawiñski, Marco Moran-Armenta, Vicente Mut, Francisco G. Rossomando, Javier Moreno-Valenzuela

    Published 2025-06-01
    “…This article presents a novel controller for a bilateral teleoperation system composed of a robot manipulator and a skid-steering mobile robot. The proposed controller leverages neural networks to compensate for ground–robot interactions, uncertain dynamics, and communication delays. …”
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