Causal Intervention-Based Multimodal Class-Incremental Learning Network for 3D Model Classification and Retrieval by Qiang Li, Qiu-Yang Ma, Ning Zhang, Wei-Zhi Nie

“…It introduces an alternating modality freezing strategy to isolate parameter updates between geometric (point cloud) and visual (multi-view) modalities, thereby suppressing cross-modal gradient interference. …”
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Machine learning-driven framework for realtime air quality assessment and predictive environmental health risk mapping by M. Rajesh, R. Ganesh Babu, Usha Moorthy, Sathishkumar Veerappampalayam Easwaramoorthy

“…Visual risk maps and health advisories are generated every five minutes to support timely decision-making. …”
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Research on airport baggage anomaly retention detection technology based on machine vision, edge computing, and blockchain by Yuzhou Chen, Gang Mao, Xue Yang, Mingqian Du, Hongqing Song

“…To address this challenge, this paper proposes a real‐time detection and alerting of luggage anomaly retention based on the YOLOv5 object detection model, leveraging visual algorithms. By eliminating cloud servers and deploying multiple edge servers to establish a private chain, images of anomalously retained luggage are encrypted and stored on the chain. …”
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Privacy-Preserving Image Retrieval and Sharing in Social Multimedia Applications by Zongye Zhang, Fucai Zhou, Shiyue Qin, Qiang Jia, Zifeng Xu

“…To handle such huge amount of images, an optimal solution is using the public cloud, since it has powerful storage capability. …”
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An Exploratory Study of Ideal Medical Systems Based on the Experiences of Laypeople in South Korea by Soo-Young Yu, Eunyoung E. Suh, Seongmi Lim, Ji-yeon Kim

“…Qualitative data were analyzed using the thematic analysis method and visualized through a word cloud generated with MAXQDA software. …”
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Construction of Smart Fire Protection IoT System for Shanghai Rail Transit by LI Jinghu, YANG Ji, LIU Yue

“…By using technologies such as cloud computing and big data, a deep integration of informatization and fire protection is achieved, significantly improving the fire protection management level of Shanghai Rail Transit.…”
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Quantum Approximate Optimization Algorithm for the Max-Cut Problem: JavaScript Programming Language Implementation by Dmytro Sapozhnyk

“…Future work will focus on enhancing the framework by adding cloud-based quantum computing capabilities, expanding the documentation, incorporating additional quantum-hybrid algorithms, and improving the user interface of the associated web application.…”
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Large-scale Wind-driven Structures in the Orion Nebula by C. R. O’Dell, N. P. Abel

“…A velocity component near 30 km s ^−1 (heliocentric) first seen in H i is also present in [C ii ], and may result from a foreground cloud of the ISM.…”
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Mapping of Government’s Communication Strategies in the COVID-19 Era on Social Media by Iyomi Hasti, Zuly Qodir

“…Using VOSviewer software, we provide a visual representation of the main theme clusters in this research. …”
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Weather-Based Arthritis Tracking: A Mobile Mechanism for Preventive Strategies by Jin-Lun Goh, Sin-Ban Ho, Chuie-Hong Tan

“…The Flutter Framework is used for creating mobile apps, while Firebase is chosen as the cloud-hosted database. Visual Studio Code and Android Studio are utilised as the code editor and Android emulator, respectively. …”
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A Review of Embodied Grasping by Jianghao Sun, Pengjun Mao, Lingju Kong, Jun Wang

“…Then, the embodied algorithms are introduced, starting from pre-trained models, with three main research goals: (1) embodied perception, using data captured by visual sensors to perform point cloud extraction or 3D reconstruction, combined with pre-trained models, to understand the target object and external environment and directly predict the execution of actions; (2) embodied strategy: In imitation learning, the pre-trained model is used to enhance data or as a feature extractor to enhance the generalization ability of the model. …”
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DroneSilient (drone + resilient): an anti-drone system by Meghna Manoj Nair, Harini Sriraman, Gadiparthy Harika Sai, V. Pattabiraman

“…The CNN (Convolutional Neural Network) method, created using the Google Cloud Platform and AutoML widget, is used in our model for object identification and categorization. …”
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Reporting Together: Transactional Sociability, Digital Communities and Alternate Embodiments on the Road through the Use of Waze by Regner Ramos

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Feature-Centric Video Transmission and Analytics in Large-Scale Internet of Video Things by Hongan Wei, Yuxiang Liu, Kejian Hu, Liqun Lin, Youjia Chen, Tiesong Zhao, Wanjian Feng

“…The interconnection of large-scale visual sensors is called the Internet of Video Things (IoVT), which brings a qualitative leap to the interaction of urban information. …”
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Entropy-Driven Dynamic Block Compressive Sampling for Underwater Image Compression in the Context of IoUT: A Research Perspective by R. Monika, Samiappan Dhanalakshmi, R. Narayanamoorthi, Hossam Kotb, Amr Yousef

“…These gadgets consists of cameras designed to capture images beneath the water’s surface. and then distribute it among themselves and save them in the cloud. However, the substantial amount of data produced can hinder the devices’ performance due to limited computational power and battery life. …”
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An Internet-of-Things-Integrated Deep Learning Model for Fault Diagnosis in Industrial Rotating Machines by Tuan M. Le, Hieu M. Tran, Ke Wang, Hung V. Pham, Son V. T. Dao

“…Additionally, Internet of Things (IoT) integration is implemented using the Message Queuing Telemetry Transport (MQTT) protocol, enabling the update of fault status to the cloud for efficient monitoring. A mobile application provides an intuitive platform for visualizing and interacting with fault data. …”
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Comprehensive Design Analysis of Economical E-Bike Charger with IoT-Empowered System for Real-Time Parameter Monitoring by Tehseen Ilahi, Tahir Izhar, Majid Ali, Usama Noor, Mudassar Siddique, Ehtisham Muhammad Khan, Roomana Yousaf, Ahmed Ali, Baseem Khan

“…The parameters are visualized using both simulation and hardware analysis. …”
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Development of a Web-Based Analytical Framework for Soil Moisture Estimation Using Multipolarized SAR Data by D. H. Lee, D. W. Chung, S. G. Lee

“…This study developed a novel framework to estimate and visualize soil moisture using KOMPSAT-5 synthetic aperture radar (SAR) data in a real-time web-based environment. …”
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The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction by M. Vlachos, D. Skarlatos, S. Demesticha

“…The goal is to determine whether neural network-based colour correction can increase the number of valid feature correspondences, improve sparse and dense point cloud generation, and ultimately support more accurate and robust 3D reconstructions. …”
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Can Saccade and Vergence Properties Discriminate Stroke Survivors from Individuals with Other Pathologies? A Machine Learning Approach by Alae Eddine El Hmimdi, Zoï Kapoula

“…Stroke patients are known to exhibit visual deficits and eye movement disorders. This study focused on saccade and vergence measurements using REMOBI technology V3 and the Pupil Core eye tracker. …”
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