Visual Scheme for the Detection of Mobile Attack on WSN Simulator by Young-Sik Jeong, Hyun-Woo Kim, Jong Hyuk Park

“…Recently, wireless sensor networks (WSNs) technologies have been utilized in diverse domains. …”
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A Wireless Multisensor Node for Long-Term Environmental Parameters Monitoring by Deguang Li, Tianhao Wu, Xiaohui Li, Qiurui He, Zhanyou Cui

“…A customized μC/OS-III runs on the node, which controls the transmission of environment parameters collected by each sensor to the cloud server through the wireless network, and then the server receives, stores, and visualizes the data. …”
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Internet of Green Things with autonomous wireless wheel robots against green houses and farms by C Ramasamy Sankar Ram, S Ravimaran, R Santhana Krishnan, E Golden Julie, Y Harold Robinson, Raghvendra Kumar, Le Hoang Son, Pham Huy Thong, Nguyen Quang Thanh, Mahmoud Ismail

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A Comprehensive Survey on Machine and Deep Learning for Optical Communications by Mohammad Ali Amirabadi, S. Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen

“…This paper presents a comprehensive survey of ML and DL applications across optical fiber communication (OFC), optical wireless communication (OWC), and optical communication networking (OCN), highlighting the challenges, current advancements, and future potential of these approaches. …”
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A wearable obstacle avoidance device for visually impaired individuals with cross-modal learning by Yun Gao, Dan Wu, Jie Song, Xueyi Zhang, Bangbang Hou, Hengfa Liu, Junqi Liao, Liang Zhou

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Construction and Analysis of a Novel Wearable Assistive Device for a Visually Impaired Person by Shahid Akram, Ali Mahmood, Ihsan Ullah, Muhammad Tahir Mujtabah, Ali Bin Yasin, Asif Raza Butt, Muhammad Shafique, Sajjad Manzoor

“…In this paper, we have given the design and development of a new wearable device that assists visually impaired individuals to travel independently and confidently. …”
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Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support by Renata Turkeš, Steven Mortier, Jorg De Winne, Jorg De Winne, Dick Botteldooren, Paul Devos, Steven Latré, Tim Verdonck

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Networking, Computing and Immersive Technologies for Smart Environments by Konstantinos Oikonomou, Vasileios Komianos

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Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization by Manash Mahanta, Attaphongse Taparugssanagorn, Kenta Umebayashi

“…The technique presented in this work can be used during the initial network setup or to improve an existing network.…”
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Knowledge mapping and trend identification in UAV-enabled hybrid FSO/RF communication systems by Kamran Ali Memon, Khalid H. Mohammadani, Abdul Ghaffar, Khurrum Karim Qureshi, Muhammad Mahmood Ali

“…UAV-based Hybrid FSO/RF Communication Networks (UHCNs) enable wireless networks with dynamic coverage and adaptability by combining Free Space Optics (FSO), Radio Frequency (RF), and Unmanned Aerial Vehicle (UAV) technologies, making them crucial for 6G. …”
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Cyber-Physical System and 3D Visualization for a SCADA-Based Drinking Water Supply: A Case Study in the Lerma Basin, Mexico City by Gabriel Sepúlveda-Cervantes, Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Eduardo Vivanco-Rodríguez

“…SCADA systems have evolved along with computing technology, from their beginnings with low-performance computers, monochrome monitors and communication networks with a range of a few hundred meters, to high-performance systems with advanced 3D graphics and wired and wireless computer networks. …”
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Routing Protocols Performance on 6LoWPAN IoT Networks by Pei Siang Chia, Noor Hisham Kamis, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Warusia Yassin, Mohd Faizal Abdollah

“…IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN) are specifically designed for applications that require lower data rates and reduced power consumption in wireless internet connectivity. …”
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How Visual Stimuli Evoked P300 is Transforming the Brain–Computer Interface Landscape: A PRISMA Compliant Systematic Review by Jai Kalra, Prashasti Mittal, Nirmiti Mittal, Abhishek Arora, Utkarsh Tewari, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

“…This expansion was largely driven by the spread of wireless EEG devices, advances in computational intelligence methods, machine learning, neural networks and deep learning.…”
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Resolving Energy Consumption Issues and Spectrum Allocation for Future Broadband Networks by Sinan Najamaldeen Azzah, Sadia Din, Muhammad Ilyas, Imran Ashraf, Gyu Sang Choi

“…With the fast and rapid pace of developments in wireless technology, energy consumption has become a problem of great significance for future networks. …”
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Depth-Induced Intra-to-Inter Transformer network for stereoscopic image retargeting by Xiaoting Fan, Long Sun, Zhong Zhang

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Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

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Mathematical Model Used to Compute Packet Energy Consumption-Based Control Topology for WSN by Mohammed Joudah Zaiter, Tariq Mohamed, Abdalrazak Tareq Rahem, Viktar Tsviatkou

“… Several recent scientific papers have been proposed on power consumption in Wireless Sensor Networks (WSN). Still, the work focused on control topologies of WSN in the field of increasing and prolonging the whole network is limited. …”
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Distributed Strain Sensor Networks for In-Construction Monitoring and Safety Evaluation of a High-Rise Building by X. W. Ye, Y. Q. Ni, Y. X. Xia

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Condition Monitoring of Chain Sprocket Drive System Based on IoT Device and Convolutional Neural Network by Sang Kwon Lee, Jiseon Back, Kanghyun An, Sunwon Kim, Changho Lee, Pungil Kim

“…A convolution neural network (CNN) was employed to extract deep features embedded in the images, which are closely related to fault types. …”
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Research on integrated fusion technology of multi-source heterogeneous hybrid information based on Mesh network by ZHANG Weiren, HUANG Xuxing

“…According to the practical task of data construction and development, and the characteristics of data integration and application for “wide area multi-ability warfare”, a scheme of wireless intelligent transmission for large data in combat is proposed based on Mesh network technology, real-time transmission of various types of combat data to remote data processing platforms for visual operations and intelligent data storage and analysis, to provide command organizations at all levels, interactive and controllable “science and technology +”“network +” data integration using a new model.…”
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