Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…Object detection in images is a fundamental component of many safety-critical systems, such as autonomous driving, video surveillance systems, and robotics. Adversarial patch attacks, being easily implemented in the real world, provide effective counteraction to object detection by state-of-the-art neural-based detectors. …”
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Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection by L. Meziou, A. Histace, F. Precioso, O. Romain, X. Dray, B. Granado, B. J. Matuszewski

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Analysis of the influence of flexible and lubrication characteristics of main bearings on transmission error of RV reducers by ZHI Qiangong, NIU Linkai, XIONG Xiaoyan, YI Xianghong, YAN Shuai

“…ObjectiveThe RV reducer is extensively utilized in the joints of industrial robots due to its advantages such as the high reduction ratio, the low transmission error, and the compact structure. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

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Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…Path planning is a crucial technology and challenge in various fields, including robotics, autonomous systems, and intelligent transportation systems. …”
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VEIKIANTIS GENOMAS - VISUMINIS POŽYMIS: DABARTIES ŽVILGSNIS Į GENETIKĄ by Jonas Rubikas

“…The evaluation of results is performed by robots and computers. The genomics and proteomes as well as the data evaluation mark the beginning of the new methodological level: the functioning genome - phenotype. …”
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Robótica en la enseñanza de conocimiento e interacción con el entorno. Una investigación formativa en Educación Infantil by Elena SÁNCHEZ TENDERO, Ramón CÓZAR GUTIÉRREZ, José Antonio GONZÁLEZ-CALERO SOMOZA

“…La intervención se realizó a través de una unidad didáctica del área de “Conocimiento e interacción con el entorno”, con 48 alumnos/as de la etapa de Educación Infantil, de 5-6 años de edad, con un diseño cuasi- experimental basado en dos grupos naturales configurados uno como grupo control y otro como grupo experimental, con la única diferencia del empleo de una metodología basada en el uso de robots en el experimental, frente a una metodología tradicional en el grupo control. …”
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Labour productivity management model taking into account organizational culture of enterprise by A. O. Ivanov

“…Raising income inequalities and their continued stagnation lead to an increase in economic, social, and political tensions in society. Automation and robotization of production processes stimulate uncertainty increase in the labour market. …”
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Modeling and Vibration Analysis of a 3-UPU Parallel Vibration Isolation Platform with Linear Motors Based on MS-DT-TMM by Wei Chen, Jiaqi Tong, Hehe Yang, Fulong Liu, Zhen Qin, Zhiyong Ren

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Lessons learned from an fMRI-guided rTMS study on performance in a numerical Stroop task. by Lysianne Beynel, Hannah Gura, Zeynab Rezaee, Ekaete C Ekpo, Zhi-De Deng, Janet O Joseph, Paul Taylor, Bruce Luber, Sarah H Lisanby

“…We performed the present study to test whether fMRI-guided rTMS effects on numerical Stroop task performance could still be observed while using more advanced techniques that have emerged in the last decade (e.g., electrical sham, robotic coil holder system, etc.). To do so we used a traditional reaction time analysis and we performed, post-hoc, a more advanced comprehensive drift diffusion modeling approach. …”
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Bistable Soft Shells for Programmable Mechanical Logic by Nan Yang, Yuming Lan, Miao Zhao, Xiaofei Shi, Kunpeng Huang, Zhongfa Mao, Damiano Padovani

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Path Planning for Fully Autonomous UAVs-A Taxonomic Review and Future Perspectives by Geeta Sharma, Sanjeev Jain, Radhe Shyam Sharma

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Clinical Outcome of Patients with Complete Pathological Response to Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancers: The Indian Scenario by Snita Sinukumar, Prachi Patil, Reena Engineer, Ashwin Desouza, Avanish Saklani

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Single-View Depth Estimation: Advancing 3D Scene Interpretation With One Lens by Kavitha Dhanushkodi, Akila Bala, Neelam Chaplot

“…Furthermore, its computational efficiency allows for real-time depth estimation, making it suitable for time-critical applications in fields such as robotics and drones. Overall, this paper highlights the potential of single-lens depth perception as a scalable, cost-effective alternative to conventional 3D scene understanding techniques, with promising implications for industries relying on depth sensing technology.…”
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Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement by Faranak Akbarifar, Sean P. Dukelow, Albert Jin, Parvin Mousavi, Stephen H. Scott

“…Conventional clinical assessment methods depend largely on clinicians’ visual and physical evaluations, resulting in coarse rating systems that frequently miss subtle impairments or improvements. Interactive robotic devices, like the Kinarm Exoskeleton system, are transforming the assessment of motor impairments by offering precise and objective movement measurements. …”
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AxiWorm: a new tool using YOLOv5 to test antiparasitic drugs against Trichinella spiralis by Javier Sánchez-Montejo, Miguel Marín, María Alejandra Villamizar-Monsalve, María del Carmen Vieira, Belén Vicente, Rafael Peláez, Julio López-Abán, Antonio Muro

“…Material and methods Morphological properties were used to distinguish L1 from debris after pepsin muscle digestion and distinguish healthy (serpentine) or damaged (coiled) L1s after 72 h untreated or treated with albendazole or mebendazole cultures. An AxiDraw robotic arm with a smartphone was used to scan 96 well microplates and store photographs. …”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. Despite these achievements, prevailing methodologies often overlook the intrinsic physical configurations and interconnectivity of multi-channel sensory inputs, resulting in a failure to adequately capture relational information embedded within the connections of deployed EMG sensor network topology. …”
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Digital technologies for water use and management in agriculture: Recent applications and future outlook by Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap, Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres

“…It examines key water-related challenges - scarcity, pollution, inefficient use and climate change - and shows how various digital technologies such as Remote Sensing, Artificial Intelligence, the Internet of Things, Big Data, Robotics, Smart Sensors and Blockchain can help address them. …”
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The Use of Voice Control in 3D Medical Data Visualization Implementation, Legal, and Ethical Issues by Miklos Vincze, Bela Molnar, Miklos Kozlovszky

“…Whether it is our smartphones, with voice assistants that make it easier to access functions, or IoT (Internet of Things) devices that let us control certain areas of our home with voice commands using sensors and different communication networks, or even medical robots that can be controlled by a doctor with voice instructions. …”
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Decentralized Frequency Regulation by Using Novel PID Sliding Mode Structure in Multi-Area Power Systems With Hydropower Turbines by Dao Trong Tran, Anh-Tuan Tran, van van Huynh, Ton Duc do

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