Steganography in Game Actions by Ching-Chun Chang, Isao Echizen

“…As a proof of concept, we exemplify action steganography through the game of labyrinth, a navigation task where subliminal communication is concealed within the act of steering toward a destination. …”
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Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

“…Location prediction is the key technique in many location based services including route navigation, dining location recommendations, and traffic planning and control, to mention a few. …”
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A new adaptive fuzzy hybrid unscented Kalman/H‐infinity filter for state estimating dynamical systems by Mojtaba Masoumnezhad, Mohammad Tehrani, Alireza Akoushideh, Nader Narimanzadeh

“…Abstract State estimation and dynamical model identification from observed data has been an attractive research area with a wide range of applications such as communication, navigation, radar target tracking, and system control. …”
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Hybrid Onboard Smartphone Sensors Measurements to Improve Heading Estimation for Indoors Positioning Solutions by Haval Darwesh Abdalkarim, Halgurd Sarhang Maghdid

“…There are many indoor positioning applications, for instance; billing, shopping, security and safety, indoor navigation, entertainment applications, and other point-of-interest (POI) applications. …”
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Investigation of Structural Nonlinearity Effects on the Aeroelastic and Wake Characteristics of a 15 MW Wind Turbine by Zhenju Chuang, Lulin Xia, Yan Qu, Wenhua Li, Jiawen Li

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Error Compensation for Dead Reckoning Based on SVM by Xin LI, Xiaoming WANG, Jianguo WU, Jiwei ZHAO, Jiacheng XIN, Kai CHEN, Bin ZHANG

“…The difference in latitude and longitude provided by the global positioning system(GPS) and inertial navigation system(INS) + DVL combination compared with latitude and longitude obtained from dead reckoning serves as the output of the model. …”
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User Model for Virtual Learning Based on Adaptive Gamification by Intan Yusrina Zairon, Tengku Siti Meriam Tengku Wook, Syahanim Mohd Salleh, Hadi Affendy Dahlan

“…Usability test results identified areas for improvement, specifically in visual design, navigation, and user feedback. The study contributes to the field of adaptive e-learning by providing a flexible framework that can potentially improve learning outcomes and sustain student engagement in virtual learning environments. …”
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Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm by Zhilong Song, Linfeng Fan, Shuaihua Lu, Chongyi Ling, Qionghua Zhou, Jinlan Wang

“…Here, we present a framework named Material Generation with Efficient Global Chemical Space Search (MAGECS) that addresses this challenge by integrating the bird swarm algorithm and supervised graph neural networks, enabling effective navigation of generative models in the immense chemical space towards materials with target properties. …”
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From temporary bike lanes to a cycling oriented mobility paradigm. The case of Lyon during and after the pandemic of COVID-19 by Nathalie Ortar, Patricia Lejoux, Nicolas Ovtracht

“…Despite initial political consensus, challenges emerged, including limited public recognition of these measures as policy and criticism of safety and navigation in certain designs. Efforts to institutionalize cycling policy have reduced car dominance and expanded public transport, but socio-spatial inequalities and low engagement from working-class communities persist. …”
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Subsurface Geosciences Learning in Virtual Reality: A Case Study in Central Luconia Province, Malaysia by Grisel Jiménez, Abdul Halim Latiff, Katja Schulze

“…The analysis of student responses emphasizes the valuable learning experience offered by 3D virtual environments designed for realistic first-person navigation and freedom of movement, like a real field experience. …”
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3‐D Ionospheric Imaging Over the South American Region With a New TEC‐Based Ionospheric Data Assimilation System (TIDAS‐SA) by Ercha Aa, Shun‐Rong Zhang, Philip J. Erickson, Wenbin Wang, Anthea J. Coster, William Rideout

“…The TIDAS‐SA data assimilation system utilizes a hybrid Ensemble‐Variational approach to incorporate a diverse set of ionospheric data sources, including dense ground‐based Global Navigation Satellite System (GNSS) line‐of‐sight Total Electron Content (TEC) data, radio occultation data from the Constellation Observing System for Meteorology, Ionosphere, and Climate‐2 (COSMIC‐2), and altimeter TEC data from the JASON‐3 satellite. …”
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Multiwave Structure of Traveling Ionospheric Disturbances Excited by the Tonga Volcanic Eruptions Observed by a Dense GNSS Network in China by Xiaolin Li, Feng Ding, Xinan Yue, Tian Mao, Bo Xiong, Qian Song

“…Abstract We used dense global navigation satellite system data from China to track the propagation of traveling ionospheric disturbances (TIDs) triggered by the 2022 January 15 Tonga volcanic eruption. …”
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Sliding Mode Control for Variable-Speed Trajectory Tracking of Underactuated Vessels with TD3 Algorithm Optimization by Shiya Zhu, Gang Zhang, Qin Wang, Zhengyu Li

“…First, considering the flexible control requirements of the vessel’s propulsion system, the desired navigation speed is designed to satisfy an S-curve acceleration and deceleration process. …”
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Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN by Zhou Chen, Kecheng Zhou, Haimeng Li, Jing‐song Wang, Zhihai Ouyang, Xiaohua Deng

“…Different from the previous methods, in the study, a deep learning hybrid model (RFGAN) based on Dual‐Discriminator Conditional Generative Adversarial Network (DDcGAN) and Free‐Form Image Inpainting with Gated Convolution (Deepfill v2) is proposed to fuse the Massachusetts Institute of Technology (MIT)—TEC, International Global Navigation Satellite System TEC (IGS‐TEC) and altimetry satellite TEC. …”
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An FPGA-Based Omnidirectional Vision Sensor for Motion Detection on Mobile Robots by Jones Y. Mori, Janier Arias-Garcia, Camilo Sánchez-Ferreira, Daniel M. Muñoz, Carlos H. Llanos, J. M. S. T. Motta

“…The sensor is used as an omnidirectional vision system, allowing for localization and navigation tasks of mobile robots. Several image processing operations such as filtering, segmentation and morphology have been included in the processing architecture. …”
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PharmaLLM: A Medicine Prescriber Chatbot Exploiting Open-Source Large Language Models by Ayesha Azam, Zubaira Naz, Muhammad Usman Ghani Khan

“…A usability study involving 33 participants was conducted to evaluate the system using the Chatbot Usability Questionnaire, focusing on error handling, response generation, navigation, and personality. Results from the questionnaire indicated that participants found the system easy to navigate and the responses useful and relevant. …”
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A Design Method of Inland River Channel Based on Hydrodynamic Response of Ship by ZHANG Lei, FENG Shaoxiong, TAN Kun, GUO Tao, SONG Chengguo, CHU Xiumin, MIAO Yang

“…Dongliu route with typical navigation obstructions of curve and branch is chosen for the verification of the channel design method. …”
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BiST-SA-LSTM: A Deep Learning Framework for End-to-End Prediction of Mesoscale Eddy Distribution in Ocean by Yaoran Chen, Zijian Zhao, Yaojun Yang, Xiaowei Li, Yan Peng, Hao Wu, Xi Zhou, Dan Zhang, Hongyu Wei

“…Mesoscale eddies play a critical role in sea navigation and route planning, yet traditional prediction methods have often overlooked their spatial relationships, relying on indirect approaches to capture their distribution across extensive maps. …”
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DADNet: text detection of arbitrary shapes from drone perspective based on boundary adaptation by Jun Liu, Jianxun Zhang, Ting Tang, Shengyuan Wu

“…The detection and localization of text information through drones greatly enhance their understanding of the environment, enabling tasks of significant importance such as community commercial planning and autonomous navigation in intelligent environments. However, the unique perspective and complex environment during drone photography lead to various challenges in text detection, including diverse text shapes, large-scale variations, and background interference, making traditional methods inadequate. …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…Artificial intelligence (AI) has evolved into a powerful tool that has wide-spread application in computer vision such as computer-aided inspection, industrial control systems, and navigation of robots. Monitoring the condition of machineries and mechanical components for the presence of faults with the aid of image-based automated analysis is one major application of computer vision. …”
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